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    Influence of nutrient supply on plankton microbiome biodiversity and distribution in a coastal upwelling region

    Ryther, J. H. Photosynthesis and fish production in the sea. Sci. (80-.) 166, 72–76 (1969).ADS 
    CAS 
    Article 

    Google Scholar 
    Follows, M. J., Dutkiewicz, S., Grant, S. & Chisholm, S. W. Emergent biogeography of microbial communities in a model ocean. Sci. (80-.). 315, 1843–1846 (2007).ADS 
    CAS 
    Article 

    Google Scholar 
    Edwards, K. F., Litchman, E. & Klausmeier, C. A. Functional traits explain phytoplankton community structure and seasonal dynamics in a marine ecosystem. Ecol. Lett. 16, 56–63 (2013).PubMed 
    Article 

    Google Scholar 
    Nemergut, D. R. et al. Patterns and processes of microbial community assembly. Microbiol. Mol. Biol. Rev. 77, 342–356 (2013).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Villarino, E. et al. Large-scale ocean connectivity and planktonic body size. Nat. Commun. 9, 142 (2018).Collins, S., Rost, B. & Rynearson, T. A. Evolutionary potential of marine phytoplankton under ocean acidification. Evol. Appl. 7, 140–155 (2014).CAS 
    PubMed 
    Article 

    Google Scholar 
    Rusch, D. B. et al. The Sorcerer II global ocean sampling expedition: Northwest Atlantic through Eastern Tropical Pacific. PLOS Biol. 5, e77 (2007).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    de Vargas, C. et al. Eukaryotic plankton diversity in the sunlit ocean. Sci. (80-.). 348, 1261605–1/11 (2015).Sunagawa, S. et al. Structure and function of the global ocean microbiome. Sci. (80-.) 348, 1–10 (2015).Article 
    CAS 

    Google Scholar 
    Fuhrman, J. A. et al. A latitudinal diversity gradient in planktonic marine bacteria. Proc. Natl Acad. Sci. 105, 7774–7778 (2008).ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Righetti, D., Vogt, M., Gruber, N., Psomas, A. & Zimmermann, N. E. Global pattern of phytoplankton diversity driven by temperature and environmental variability. Sci. Adv. 5, 1–11 (2019).Article 

    Google Scholar 
    Cermeño, P. et al. The role of nutricline depth in regulating the ocean carbon cycle. PNAS 105, 20344–20349 (2008).ADS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Barton, A. D., Dutkiewicz, S., Flierl, G., Bragg, J. & Follows, M. J. Patterns of diversity in marine phytoplankton. Sci. (80-.) 327, 1509–1511 (2010).ADS 
    CAS 
    Article 

    Google Scholar 
    Mantyla, A. W., Venrick, E. L. & Hayward, T. L. Primary production and chlorophyll relationships, derived from ten year of CalCOFI measurements. Calif. Cooperative Ocean. Fish. Investig. Rep. 36, 159–166 (1995).
    Google Scholar 
    Hayward, T. L. & Venrick, E. L. Nearsurface pattern in the California Current: Coupling between physical and biological structure. Deep. Res. Part II Top. Stud. Oceanogr. https://doi.org/10.1016/S0967-0645(98)80010-6 (1998).Article 

    Google Scholar 
    Venrick, E. L. Floral patterns in the California Current: The coastal-offshore boundary zone. J. Mar. Res. 67, 89–111 (2009).Article 

    Google Scholar 
    Powell, J. R. & Ohman, M. D. Covariability of zooplankton gradients with glider-detected density fronts in the Southern California Current System. Deep Sea Res. Part II Top. Stud. Oceanogr. 112, 79–90 (2015).ADS 
    CAS 
    Article 

    Google Scholar 
    Taylor, A. G., Landry, M. R., Selph, K. E. & Wokuluk, J. J. Temporal and spatial patterns of microbial community biomass and composition in the Southern California Current Ecosystem. Deep. Res. Part II Top. Stud. Oceanogr. 112, 117–128 (2015).Catlett, D. et al. Diagnosing seasonal to multi-decadal phytoplankton group dynamics in a highly productive coastal ecosystem. Prog. Oceanogr. 197, 102637 (2021).Article 

    Google Scholar 
    Lilly, L. E. & Ohman, M. D. CCE IV: El Niño-related zooplankton variability in the southern California Current System. Deep. Res. Part I Oceanogr. Res. Pap. 140, 36–51 (2018).ADS 
    Article 

    Google Scholar 
    Richardson, A. J. et al. Using continuous plankton recorder data. Prog. Oceanogr. 68, 27–74 (2006).ADS 
    Article 

    Google Scholar 
    Wang, Z. et al. Microbial communities across nearshore to offshore coastal transects are primarily shaped by distance and temperature. Environ. Microbiol. 1462–2920.14734. https://doi.org/10.1111/1462-2920.14734 (2019).Wang, Y. et al. Patterns and processes of free-living and particle-associated bacterioplankton and archaeaplankton communities in a subtropical river-bay system in South China. Limnol. Oceanogr. 65, S161–S179 (2020).Ibarbalz, F. M. et al. Global Trends in Marine Plankton Diversity across Kingdoms of Life. Cell 1084–1097. https://doi.org/10.1016/j.cell.2019.10.008 (2019).Fuhrman, J. A., Cram, J. A. & Needham, D. M. Marine microbial community dynamics and their ecological interpretation. Nat. Rev. Microbiol. 13, 133–146 (2015).CAS 
    PubMed 
    Article 

    Google Scholar 
    Gilbert, J. A. et al. Defining seasonal marine microbial community dynamics. ISME J. 6, 298–308 (2012).CAS 
    PubMed 
    Article 

    Google Scholar 
    Karl, D. M. & Lukas, R. The Hawaii Ocean Time-series (HOT) program: background, rationale and field implementation. Deep. Res. Part II Top. Stud. Oceanogr. 43, 129–156 (1996).ADS 
    CAS 
    Article 

    Google Scholar 
    Steinberg, D. K. et al. Overview of the US JGOFS Bermuda Atlantic Time-series Study (BATS): A decade-scale look at ocean biology and biogeochemistry Overview of the US JGOFS Bermuda Atlantic Time-series Study (BATS): a decade-scale look at ocean biology and biogeochemistry. Deep. Res. Part II Top. Stud. Oceanogr. 48, 1405–1447 (2015).ADS 
    Article 

    Google Scholar 
    Needham, D. M. & Fuhrman, J. A. Pronounced daily succession of phytoplankton, archaea and bacteria following a spring bloom. Nat. Microbiol. 1, 16005 (2016).Zhu, Z. et al. Understanding the blob bloom: Warming increases toxicity and abundance of the harmful bloom diatom Pseudo-nitzschia in California coastal waters. Harmful Algae 67, 36–43 (2017).CAS 
    PubMed 
    Article 

    Google Scholar 
    Mcclatchie, S. et al. State of the California Current 2015–16: Comparisons with the 1997–98 El Niño. Calif. Cooperative Ocean. Fish. Investig. Rep. 57, (2016).Walker, H. J. Jr et al. Unusual occurrences of fishes in the Southern California Current System during the warm water period of 2014–2018. Estuar. Coast. Shelf Sci. 236, 106634 (2020).Article 

    Google Scholar 
    Kahru, M., Jacox, M. G. & Ohman, M. D. CCE1: Decrease in the frequency of oceanic fronts and surface chlorophyll concentration in the California Current System during the 2014–2016 northeast Pacific warm anomalies. Deep. Res. Part I Oceanogr. Res. Pap. 140, 4–13 (2018).ADS 
    Article 

    Google Scholar 
    Azam, F. et al. The Ecological Role of Water-Column Microbes in the Sea. Mar. Ecol. Prog. Ser. 10, 257–263 (1983).ADS 
    Article 

    Google Scholar 
    Calbet, A. & Landry, M. R. Phytoplankton growth, microzooplankton grazing, and carbon cycling in marine systems. Limnol. Oceanogr. 49, 51–57 (2004).ADS 
    CAS 
    Article 

    Google Scholar 
    Buchan, A., LeCleir, G. R., Gulvik, C. A. & González, J. M. Master recyclers: features and functions of bacteria associated with phytoplankton blooms. Nat. Rev. Microbiol. 12, 686–698 (2014).CAS 
    PubMed 
    Article 

    Google Scholar 
    Kohonen, T. Exploration of very large databases by self-organizing maps. IEEE Int. Conf. Neural Networks – Conf. Proc. 1, (1997).Istvánovics, V. Eutrophication of Lakes and Reservoirs. Encycl. Inl. Waters 157–165 https://doi.org/10.1016/B978-012370626-3.00141-1 (2009).Partensky, F., Blanchot, J. & Vaulot, D. Differential distribution and ecology of Prochlorococcus and Synechococcus in oceanic waters: a review. Bull. Oceanogr. Monaco 19, 457–475 (1999).
    Google Scholar 
    Laws, E. A., Falkowski, P. G., Smith, W. O., Ducklow, H. & McCarthy, J. J. Temperature effects on export production in the open ocean. Global Biogeochem. Cycles 14, (2000).Grover, J. P. Resource Competition in a Variable Environment: Phytoplankton Growing According to Monod’s Model. Am. Nat. 136, 771–789 (1990).Article 

    Google Scholar 
    Benincá, E. et al. Chaos in a long-term experiment with a plankton community. Nature 451, 822–825 (2008).ADS 
    PubMed 
    Article 
    CAS 

    Google Scholar 
    Williams, R. G. & Follows, M. J. Ocean Dynamics and the Carbon Cycle: Principles and Mechanisms. Book (2011).Lindegren, M., Checkley, D. M., Ohman, M. D., Koslow, J. A. & Goericke, R. Resilience and stability of a pelagic marine ecosystem. Proc. R. Soc. B Biol. Sci. 283, (2016).Vallina, S. M. et al. Global relationship between phytoplankton diversity and productivity in the ocean. Nat. Commun. 1–10 https://doi.org/10.1038/ncomms5299 (2014).Chase, J. M. & Leibold, M. A. Spatial scale dictates the productivity-biodiversity relationship. Nature 416, 427–430 (2002).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Jacox, M. G., Edwards, C. A., Hazen, E. L. & Bograd, S. J. Coastal Upwelling Revisited: Ekman, Bakun, and Improved Upwelling Indices for the U.S. West Coast. J. Geophys. Res. Ocean. 123, 7332–7350 (2018).ADS 
    Article 

    Google Scholar 
    Zaba, K. D. & Rudnick, D. L. The 2014-2015 warming anomaly in the Southern California Current System observed by underwater gliders. Geophys. Res. Lett. 43, 1241–1248 (2016).ADS 
    Article 

    Google Scholar 
    Weber, E. D. et al. State of the California Current 2019–2020: Back to the Future With Marine Heatwaves? Front. Mar. Sci. 8, (2021).Closset, I. et al. Diatom response to alterations in upwelling and nutrient dynamics associated with climate forcing in the California Current System. Limnol. Oceanogr. 1–16. https://doi.org/10.1002/lno.11705 (2021).Kenitz, K. M. et al. Environmental drivers of population variability in colony-forming marine diatoms. Limnol. Oceanogr. 65, 2515–2528 (2020).ADS 
    Article 

    Google Scholar 
    Mullin, M. M. Biomasses of large-celled phytoplankton and their relation to the nitricline and grazing in the California current system off Southern California, 1994–1996. Calif. Cooperative Ocean. Fish. Investig. Rep. 39, 117–123 (1998).
    Google Scholar 
    Rykaczewski, R. R. & Checkley, D. M. Influence of ocean winds on the pelagic ecosystem in upwelling regions. PNAS 105, 1965–1970 (2007).ADS 
    Article 

    Google Scholar 
    Grzymski, J. J. & Dussaq, A. M. The significance of nitrogen cost minimization in proteomes of marine microorganisms. ISME J. 6, 71–80 (2012).Margalef, R. Life-forms of phytoplankton as survival alternatives in an unstable environment. Ocean. Acta 1, (1978).Falkowski, P. G. & Oliver, M. J. Mix and match: How climate selects phytoplankton. Nat. Rev. Microbiol. 5, 813–819 (2007).Mende, D. R. et al. Environmental drivers of a microbial genomic transition zone in the ocean’s interior. Nat. Microbiol. 2, 1367–1373 (2017).Phoma, B. S. & Makhalanyane, T. P. Depth-dependent variables shape community structure and functionality in the Prince Edward Islands. Microb. Ecol. 81, 396–409 (2021).Kahru, M. & Mitchell, B. G. Seasonal and nonseasonal variability of satellite-derived chlorophyll and colored dissolved organic matter concentration in the California Current. J. Geophys. Res. Ocean. 106, 2517–2529 (2001).ADS 
    CAS 
    Article 

    Google Scholar 
    Barth, A., Walter, R. K., Robbins, I. & Pasulka, A. Seasonal and interannual variability of phytoplankton abundance and community composition on the Central Coast of California. Mar. Ecol. Prog. Ser. 637, (2020).Powell, J. R. & Ohman, M. D. Changes in zooplankton habitat, behavior, and acoustic scattering characteristics across glider-resolved fronts in the Southern California Current System. Prog. Oceanogr. 134, 77–92 (2015).ADS 
    Article 

    Google Scholar 
    Taylor, A. G. & Landry, M. R. Phytoplankton biomass and size structure across trophic gradients in the southern California Current and adjacent ocean ecosystems. Mar. Ecol. Prog. Ser. 592, 1–17 (2018).ADS 
    CAS 
    Article 

    Google Scholar 
    Dutkiewicz, S., Follows, M. J. & Bragg, J. G. Modeling the coupling of ocean ecology and biogeochemistry. Glob. Biogeochem. Cycles 23, 1–15 (2009).Article 
    CAS 

    Google Scholar 
    D’Ovidio, F., De Monte, S., Alvain, S., Dandonneau, Y. & Lévy, M. Fluid dynamical niches of phytoplankton types. Proc. Natl Acad. Sci. U. S. A. 107, 18366–18370 (2010).ADS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Clayton, S., Dutkiewicz, S., Jahn, O. & Follows, M. J. Dispersal, eddies, and the diversity of marine phytoplankton. Limnol. Oceanogr. Fluids Environ. 3, 182–197 (2013).Article 

    Google Scholar 
    Moisan, T. A., Rufty, K. M., Moisan, J. R. & Linkswiler, M. A. Satellite observations of phytoplankton functional type spatial distributions, phenology, diversity, and ecotones. Front. Mar. Sci. 4, 1–24 (2017).Article 

    Google Scholar 
    Combes, V. et al. Cross-shore transport variability in the California Current: Ekman upwelling vs. eddy dynamics. Prog. Oceanogr. 109, 78–89 (2013).ADS 
    Article 

    Google Scholar 
    Chenillat, F., Rivière, P., Capet, X., Franks, P. J. S. & Blanke, B. California coastal upwelling onset variability: cross-shore and bottom-up propagation in the planktonic ecosystem. PLoS ONE 8, (2013).Chenillat, F., Franks, P. J. S. & Combes, V. Biogeochemical properties of eddies in the California Current System. Geophys. Res. Lett. 43, 5812–5820 (2016).ADS 
    CAS 
    Article 

    Google Scholar 
    Edwards, K. F., Thomas, M. K., Klausmeier, C. A. & Litchman, E. Allometric scaling and taxonomic variation in nutrient utilization traits and maximum growth rate of phytoplankton. Limnol. Oceanogr. 57, 554–566 (2012).ADS 
    Article 

    Google Scholar 
    Wells, B. K. et al. State of the California Current 2016–17: Still anything but ‘normal’ in the north. Calif. Cooperative Ocean. Fish. Investig. Rep. 58 (2017).Thompson, A. R. et al. State of the California Current 2017–18: Still not quite normal in the north and getting interesting in the south. Calif. Cooperative Ocean. Fish. Investig. Rep. 59 (2018).Ward, C. S. et al. Annual community patterns are driven by seasonal switching between closely related marine bacteria. ISME J. 11, 1412–1422 (2017).Bograd, S. J., Schroeder, I. D. & Jacox, M. G. A water mass history of the Southern California current system. Geophys. Res. Lett. 46, 6690–6698 (2019).ADS 
    Article 

    Google Scholar 
    Parada, A. E., Needham, D. M. & Fuhrman, J. A. Every base matters: Assessing small subunit rRNA primers for marine microbiomes with mock communities, time series and global field samples. Environ. Microbiol. 18 (2016).Amaral-Zettler, L. A., McCliment, E. A., Ducklow, H. W. & Huse, S. M. A method for studying protistan diversity using massively parallel sequencing of V9 hypervariable regions of small-subunit ribosomal RNA Genes. PLoS ONE 4, (2009).Bolyen, E. et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat. Biotechnol. 37, 852–857 (2019).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.J. 17, (2011).Callahan, B. J., Mcmurdie, P. J., Rosen, M. J., Han, A. W. & A, A. J. DADA2: High resolution sample inference from Illumina amplicon data. Nat. Methods 13, 581–583 (2016).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Bokulich, N. A. et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome 6 (2018).Pedregosa, F. et al. Scikit-learn: Machine learning in Python. J. Mach. Learn. Res. 12 (2011).Pruesse, E. et al. SILVA: A comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB. Nucleic Acids Res. 35 (2007).Guillou, L. et al. The Protist Ribosomal Reference database (PR2): A catalog of unicellular eukaryote Small Sub-Unit rRNA sequences with curated taxonomy. Nucleic Acids Res. 41 (2013).McMurdie, P. J. & Holmes, S. Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible. PLoS Comput. Biol. 10 (2014).Gloor, G. B., Wu, J. R., Pawlowsky-Glahn, V. & Egozcue, J. J. It’s all relative: analyzing microbiome data as compositions. Ann. Epidemiol. 26 (2016).Cameron, E. S., Schmidt, P. J., Tremblay, B. J. M., Emelko, M. B. & Müller, K. M. To rarefy or not to rarefy: Enhancing microbial community analysis through next-generation sequencing. bioRxiv. https://doi.org/10.1101/2020.09.09.290049 (2020).Oksanen, J. et al. vegan: Community Ecology Package. R package version 2.5-7. (2020).Bowman, J. S., Amaral-zettler, L. A., Rich, J. J., Luria, C. M. & Ducklow, H. W. Bacterial community segmentation facilitates the prediction of ecosystem function along the coast of the western Antarctic Peninsula. Nat. Publ. Gr. 11, 1460–1471 (2017).
    Google Scholar 
    Boelaert, J., Bendhaiba, L., Olteanu, M. & Villa-Vialaneix, N. SOMbrero: An R package for numeric and non-numeric self-organizing maps. Adv. Intell. Syst. Comput 295, 219–228 (2014).
    Google Scholar 
    Johnson, J. B. & Omland, K. S. Model selection in ecology and evolution. Trends Ecol. Evol. 19, 101–108 (2004).PubMed 
    Article 

    Google Scholar 
    James, C. C. et al. Influence of nutrient supply on plankton microbiome biodiversity and distribution in a coastal upwelling region. https://doi.org/10.5281/zenodo.6359865 (2022).Legendre, P. & Legendre, L. Numerical ecology (Elsevier, 2012). More

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    MALDI mass spectrometry imaging workflow for the aquatic model organisms Danio rerio and Daphnia magna

    (ECHA), E. C. A. Know more about the effects of the chemicals we use in Europe (ECHA/PR/16/01). https://echa.europa.eu/de/-/know-more-about-the-effects-of-the-chemicals-we-use-in-europe (2016).Liu, W. J., Nie, H. X., Liang, D. P., Bai, Y. & Liu, H. W. Phospholipid imaging of zebrafish exposed to fipronil using atmospheric pressure matrix-assisted laser desorption ionization mass spectrometry. Talanta https://doi.org/10.1016/j.talanta.2019.120357 (2020).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Sparvero, L. J. et al. Mapping of phospholipids by MALDI imaging (MALDI-MSI): Realities and expectations. Chem. Phys. Lipid. 165, 545–562. https://doi.org/10.1016/j.chemphyslip.2012.06.001 (2012).CAS 
    Article 

    Google Scholar 
    Koizumi, S. et al. Imaging mass spectrometry revealed the production of lyso-phosphatidylcholine in the injured ischemic rat brain. Neuroscience 168(1), 219–225. https://doi.org/10.1016/j.neuroscience.2010.03.056 (2010).CAS 
    Article 
    PubMed 

    Google Scholar 
    Hankin, J. A. et al. MALDI mass spectrometric imaging of lipids in rat brain injury models. J. Am. Soc. Mass Spectrom. 22(6), 1014–1021. https://doi.org/10.1007/s13361-011-0122-z (2011).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Zhao, C. et al. MALDI-MS imaging reveals asymmetric spatial distribution of lipid metabolites from bisphenol s-induced nephrotoxicity. Anal. Chem. 90(5), 3196–3204. https://doi.org/10.1021/acs.analchem.7b04540 (2018).CAS 
    Article 
    PubMed 

    Google Scholar 
    Barbacci, D. C. et al. Mass spectrometric imaging of ceramide biomarkers tracks therapeutic response in traumatic brain injury. ACS Chem. Neurosci. 8(10), 2266–2274. https://doi.org/10.1021/acschemneuro.7b00189 (2017).CAS 
    Article 
    PubMed 

    Google Scholar 
    Rompp, A. et al. Histology by mass spectrometry: Label-free tissue characterization obtained from high-accuracy bioanalytical imaging. Angew. Chem. Int. Ed. 49, 3834–3838. https://doi.org/10.1002/anie.200905559 (2010).CAS 
    Article 

    Google Scholar 
    Zemski Berry, K. A. et al. MALDI imaging of lipid biochemistry in tissues by mass spectrometry. Chem. Rev. 111, 6491–6512. https://doi.org/10.1021/cr200280p (2011).CAS 
    Article 

    Google Scholar 
    Cornett, D. S., Reyzer, M. L., Chaurand, P. & Caprioli, R. M. MALDI imaging mass spectrometry: Molecular snapshots of biochemical systems. Nat. Methods 4, 828–833. https://doi.org/10.1038/nmeth1094 (2007).CAS 
    Article 
    PubMed 

    Google Scholar 
    Römpp, A. & Spengler, B. Mass spectrometry imaging with high resolution in mass and space. Histochem. Cell Biol. 139, 759–783. https://doi.org/10.1007/s00418-013-1097-6 (2013).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Monroe, E. B. et al. SIMS and MALDI MS imaging of the spinal cord. Proteomics 8(18), 3746-3754. https://doi.org/10.1002/pmic.200800127 (2008).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Chaurand, P., Cornett, D. S., Angel, P. M. & Caprioli, R. M. From whole-body sections down to cellular level, multiscale imaging of phospholipids by MALDI mass spectrometry. Mol. Cell. Proteom. https://doi.org/10.1074/mcp.O110.004259 (2011).Article 

    Google Scholar 
    Lee, H.-B. & Peart, T. E. Determination of bisphenol A in sewage effluent and sludge by solid-phase and supercritical fluid extraction and gas chromatography/mass spectrometry. J. AOAC Int. 83, 290–298. https://doi.org/10.1093/jaoac/83.2.290 (2000).CAS 
    Article 
    PubMed 

    Google Scholar 
    Desbenoit, N., Walch, A., Spengler, B., Brunelle, A. & Römpp, A. Correlative mass spectrometry imaging, applying time-of-flight secondary ion mass spectrometry and atmospheric pressure matrix-assisted laser desorption/ionization to a single tissue section. Rapid Commun. Mass Spectrometry 32, 159–166. https://doi.org/10.1002/rcm.8022 (2018).ADS 
    CAS 
    Article 

    Google Scholar 
    Meding, S. et al. Tumor classification of six common cancer types based on proteomic profiling by MALDI imaging. J. Proteome Res. 11, 1996–2003. https://doi.org/10.1021/pr200784p (2012).CAS 
    Article 
    PubMed 

    Google Scholar 
    Ritschar, S. et al. Classification of target tissues of Eisenia fetida using sequential multimodal chemical analysis and machine learning. Histochem. Cell Biol. https://doi.org/10.1007/s00418-021-02037-1 (2021).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Altshuler, I. et al. An integrated multi-disciplinary approach for studying multiple stressors in freshwater ecosystems: Daphnia as a model organism. Integr. Comp. Biol. 51(4), 623–633. https://doi.org/10.1093/icb/icr103 (2011).CAS 
    Article 
    PubMed 

    Google Scholar 
    Bambino, K. & Chu, J. in Zebrafish at the Interface of Development and Disease Research Vol. 124 Current Topics in Developmental Biology (ed K. C. Sadler) 331–367 (2017).Seda, J. & Petrusek, A. Daphnia as a model organism in limnology and aquatic biology: Introductory remarks. J. Limnol. 70, 337–344. https://doi.org/10.4081/jlimnol.2011.337 (2011).Article 

    Google Scholar 
    de Souza Anselmo, C., Sardela, V. F., de Sousa, V. P. & Pereira, H. M. G. Zebrafish (Danio rerio): A valuable tool for predicting the metabolism of xenobiotics in humans? Comp. Biochem. Physiol. Part C: Toxicol. Pharmacol. 212, 34–46. https://doi.org/10.1016/j.cbpc.2018.06.005 (2018).CAS 
    Article 

    Google Scholar 
    Panula, P. et al. The comparative neuroanatomy and neurochemistry of zebrafish CNS systems of relevance to human neuropsychiatric diseases. Neurobiol. Dis. 40, 46–57. https://doi.org/10.1016/j.nbd.2010.05.010 (2010).CAS 
    Article 
    PubMed 

    Google Scholar 
    Korn, H. & Faber, D. S. The Mauthner cell half a century later: A neurobiological model for decision-making?. Neuron 47, 13–28. https://doi.org/10.1016/j.neuron.2005.05.019 (2005).CAS 
    Article 
    PubMed 

    Google Scholar 
    Schirmer, E., Schuster, S. & Machnik, P. Bisphenols exert detrimental effects on neuronal signaling in mature vertebrate brains. Commun. Biol. https://doi.org/10.1038/s42003-021-01966-w (2021).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Flößner, D. Book review: Cladocera: The genus Daphnia (including Daphniopsis). Int. Rev. Hydrobiol. 90, 637. https://doi.org/10.1002/iroh.200590003 (2005).Article 

    Google Scholar 
    OECD. Test No. 211: Daphnia magna Reproduction Test. (2012).Muyssen, B. T. A. & Janssen, C. R. Multigeneration zinc acclimation and tolerance in Daphnia magna: Implications for water-quality guidelines and ecological risk assessment. Environ. Toxicol. Chem. 20, 2053–2060. https://doi.org/10.1002/etc.5620200926 (2001).CAS 
    Article 
    PubMed 

    Google Scholar 
    Blewett, T. A. et al. Sublethal and reproductive effects of acute and chronic exposure to flowback and produced water from hydraulic fracturing on the water flea Daphnia magna. Environ. Sci. Technol. 51, 3032–3039. https://doi.org/10.1021/acs.est.6b05179 (2017).ADS 
    CAS 
    Article 
    PubMed 

    Google Scholar 
    Yang, J. H., Kim, H. J., Lee, S. M., Kim, B. M. & Seo, Y. R. Cadmium-induced biomarkers discovery and comparative network analysis in Daphnia magna. Mol. Cell. Toxicol. 13, 327–336. https://doi.org/10.1007/s13273-017-0036-3 (2017).CAS 
    Article 

    Google Scholar 
    Ferain, A. et al. Body lipid composition modulates acute cadmium toxicity in Daphnia magna adults and juveniles. Chemosphere 205, 328–338. https://doi.org/10.1016/j.chemosphere.2018.04.091 (2018).ADS 
    CAS 
    Article 
    PubMed 

    Google Scholar 
    Ritschar, S., Narayana, V. K. B., Rabus, M. & Laforsch, C. Uncovering the chemistry behind inducible morphological defences in the crustacean Daphniamagna via micro-Raman spectroscopy. Sci. Rep. 10(1), 22408. https://doi.org/10.1038/s41598-020-79755-4 (2020).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Machnik, P., Schirmer, E., Glück, L. & Schuster, S. Recordings in an integrating central neuron provide a quick way for identifying appropriate anaesthetic use in fish. Sci. Rep. 8, 17541. https://doi.org/10.1038/s41598-018-36130-8 (2018).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Luzio, A. et al. Copper induced upregulation of apoptosis related genes in zebrafish (Danio rerio) gill. Aquat. Toxicol. 128, 183–189. https://doi.org/10.1016/j.aquatox.2012.12.018 (2013).CAS 
    Article 
    PubMed 

    Google Scholar 
    Macirella, R. & Brunelli, E. Morphofunctional alterations in zebrafish (Danio rerio) gills after exposure to mercury chloride. Int. J. Mol. Sci. https://doi.org/10.3390/ijms18040824 (2017).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Mansouri, B. & Johari, S. A. Effects of short-term exposure to sublethal concentrations of silver nanoparticles on histopathology and electron microscope ultrastructure of zebrafish (Danio rerio) gills. IJT 10, 15–20. https://doi.org/10.32598/IJT.10.1.60.4 (2016).CAS 
    Article 

    Google Scholar 
    Perez, C. J., Tata, A., de Campos, M. L., Peng, C. & Ifa, D. R. Monitoring toxic ionic liquids in zebrafish (Danio rerio) with desorption electrospray ionization mass spectrometry imaging (DESI-MSI). J. Am. Soc. Mass Spectrom. 28, 1136–1148. https://doi.org/10.1007/s13361-016-1515-9 (2017).ADS 
    CAS 
    Article 
    PubMed 

    Google Scholar 
    Stutts, W. L. et al. Methods for cryosectioning and mass spectrometry imaging of whole-body zebrafish. J. Am. Soc. Mass Spectrom. 31, 768–772. https://doi.org/10.1021/jasms.9b00097 (2020).CAS 
    Article 
    PubMed 

    Google Scholar 
    Purves, D. & Williams, S. M. Neuroscience. 2nd edition. Vol. Chapter 11, Vision: The Eye (Sinauer Associates, 2001).
    Google Scholar 
    Strungaru, S. A. et al. Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community. Ecotoxicol. Environ. Saf. 171, 854–862. https://doi.org/10.1016/j.ecoenv.2019.01.057 (2019).CAS 
    Article 
    PubMed 

    Google Scholar 
    Mishra, A. & Devi, Y. Histopathological alterations in the brain (optic tectum) of the fresh water teleost Channa punctatus in response to acute and subchronic exposure to the pesticide Chlorpyrifos. Acta Histochem. 116, 176–181. https://doi.org/10.1016/j.acthis.2013.07.001 (2014).CAS 
    Article 
    PubMed 

    Google Scholar 
    Jia, W., Mao, L., Zhang, L., Zhang, Y. & Jiang, H. Effects of two strobilurins (azoxystrobin and picoxystrobin) on embryonic development and enzyme activities in juveniles and adult fish livers of zebrafish (Danio rerio). Chemosphere 207, 573–580. https://doi.org/10.1016/j.chemosphere.2018.05.138 (2018).ADS 
    CAS 
    Article 
    PubMed 

    Google Scholar 
    Seyoum, A., Pradhan, A., Jass, J. & Olsson, P. E. Perfluorinated alkyl substances impede growth, reproduction, lipid metabolism and lifespan in Daphnia magna. Sci. Total Environ. https://doi.org/10.1016/j.scitotenv.2020.139682 (2020).Article 
    PubMed 

    Google Scholar 
    Scanlan, L. D. et al. Gene transcription, metabolite and lipid profiling in eco-indicator Daphnia magna indicate diverse mechanisms of toxicity by legacy and emerging flame-retardants. Environ. Sci. Technol. 49, 7400–7410. https://doi.org/10.1021/acs.est.5b00977 (2015).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Heinlaan, M. et al. Changes in the Daphnia magna midgut upon ingestion of copper oxide nanoparticles: A transmission electron microscopy study. Water Res. 45, 179–190. https://doi.org/10.1016/j.watres.2010.08.026 (2011).CAS 
    Article 
    PubMed 

    Google Scholar 
    Abe, T., Saito, H., Niikura, Y., Shigeoka, T. & Nakano, Y. Embryonic development assay with Daphnia magna: Application to toxicity of aniline derivatives. Chemosphere 45, 487–495. https://doi.org/10.1016/s0045-6535(01)00049-2 (2001).ADS 
    CAS 
    Article 
    PubMed 

    Google Scholar 
    Sengupta, N., Gerard, P. D. & Baldwin, W. S. Perturbations in polar lipids, starvation survival and reproduction following exposure to unsaturated fatty acids or environmental toxicants in Daphnia magna. Chemosphere 144, 2302–2311. https://doi.org/10.1016/j.chemosphere.2015.11.015 (2016).ADS 
    CAS 
    Article 
    PubMed 

    Google Scholar 
    Huber, K. et al. Approaching cellular resolution and reliable identification in mass spectrometry imaging of tryptic peptides. Anal. Bioanal. Chem. 410, 5825–5837. https://doi.org/10.1007/s00216-018-1199-z (2018).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    White, R. M. et al. Transparent adult zebrafish as a tool for in vivo transplantation analysis. Cell Stem Cell 2, 183–189. https://doi.org/10.1016/j.stem.2007.11.002 (2008).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Nagayoshi, S. et al. Insertional mutagenesis by the Tol2 transposon-mediated enhancer trap approach generated mutations in two developmental genes: tcf7 and synembryn-like. Development 135, 159–169. https://doi.org/10.1242/dev.009050 (2008).CAS 
    Article 
    PubMed 

    Google Scholar 
    Perciedu Sert, N. et al. The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research. Exp. Physiol. 105, 1459–1466. https://doi.org/10.1113/EP088870 (2020).Article 

    Google Scholar 
    Elendt, B. P. Selenium deficiency in Crustacea. Protoplasma 154, 25–33. https://doi.org/10.1007/BF01349532 (1990).CAS 
    Article 

    Google Scholar 
    Sud, M. et al. LMSD: LIPID MAPS structure database. Nucleic Acids Res. 35, D527–D532. https://doi.org/10.1093/nar/gkl838 (2007).CAS 
    Article 
    PubMed 

    Google Scholar 
    Race, A. M., Styles, I. B. & Bunch, J. Inclusive sharing of mass spectrometry imaging data requires a converter for all. J. Proteom. 75, 5111–5112. https://doi.org/10.1016/j.jprot.2012.05.035 (2012).CAS 
    Article 

    Google Scholar 
    Robichaud, G., Garrard, K. P., Barry, J. A. & Muddiman, D. C. MSiReader: An open-source interface to view and analyze high resolving power MS imaging files on Matlab platform. J. Am. Soc. Mass Spectrom. 24, 718–721. https://doi.org/10.1007/s13361-013-0607-z (2013).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar  More

  • in

    Seasonal dynamics of ammonia-oxidizing bacteria but not archaea influence soil nitrogen cycling in a semi-arid agricultural soil

    Schimel, J. P., Bennett, J. & Fierer, N. Microbial community composition and soil nitrogen cycling: is there really a connection? In Biological Diversity and Function in Soils Ecological Reviews (eds Bardgett, R. et al.) 171–188 (Cambridge University Press, 2005).
    Google Scholar 
    Hatzenpichler, R. Diversity, physiology, and niche differentiation of ammonia-oxidizing archaea. Appl. Environ. Microbiol. 78, 7501–7510 (2012).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Kowalchuk, G. A. & Stephen, J. R. Ammonia-oxidizing bacteria: A model for molecular microbial ecology. Annu. Rev. Microbiol. 55, 485–529 (2001).CAS 
    PubMed 

    Google Scholar 
    Daims, H. et al. Complete nitrification by Nitrospira bacteria. Nature 528, 504–509 (2015).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Shi, X. et al. Niche separation of comammox Nitrospira and canonical ammonia oxidizers in an acidic subtropical forest soil under long-term nitrogen deposition. Soil Biol. Biochem. 126, 114–122 (2018).CAS 

    Google Scholar 
    van Kessel, M. A. H. J. et al. Complete nitrification by a single microorganism. Nature 528, 555–559 (2015).PubMed 
    PubMed Central 

    Google Scholar 
    Wang, X. et al. Comammox bacterial abundance, activity, and contribution in agricultural rhizosphere soils. Sci. Total Environ. 727, 138563 (2020).CAS 
    PubMed 

    Google Scholar 
    Wang, F., Liang, X., Ma, S., Liu, L. & Wang, J. Ammonia-oxidizing archaea are dominant over comammox in soil nitrification under long-term nitrogen fertilization. J. Soils Sediments 21, 1800–1814 (2021).CAS 

    Google Scholar 
    Rotthauwe, J.-H., Witzel, K.-P. & Liesack, W. The ammonia monooxygenase structural gene amoA as a functional marker: Molecular fine-scale analysis of natural ammonia-oxidizing populations. Appl. Environ. Microbiol. 63, 4704–4712 (1997).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Spang, A. et al. Distinct gene set in two different lineages of ammonia-oxidizing archaea supports the phylum Thaumarchaeota. Trends Microbiol. 18, 331–340 (2010).CAS 
    PubMed 

    Google Scholar 
    Schleper, C. & Nicol, G. W. Ammonia-oxidising archaea—Physiology, ecology and evolution. Adv. Microb. Physiol. 57, 1–41 (2010).CAS 
    PubMed 

    Google Scholar 
    Prosser, J. I. & Nicol, G. W. Archaeal and bacterial ammonia-oxidisers in soil: The quest for niche specialisation and differentiation. Trends Microbiol. 20, 523–531 (2012).CAS 
    PubMed 

    Google Scholar 
    Amin, S. A. et al. Copper requirements of the ammonia-oxidizing archaeon Nitrosopumilus maritimus SCM1 and implications for nitrification in the marine environment. Limnol. Oceanogr. 58, 2037–2045 (2013).CAS 

    Google Scholar 
    Jenkins, S. N., Murphy, D. V., Waite, I. S., Rushton, S. P. & O’Donnell, A. G. Ancient landscapes and the relationship with microbial nitrification. Sci. Rep. 6, 30733 (2016).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gubry-Rangin, C. et al. Niche specialization of terrestrial archaeal ammonia oxidizers. Proc. Natl. Acad. Sci. U.S.A. 108, 21206–21211 (2011).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Lehtovirta-Morley, L. E., Stoecker, K., Vilcinskas, A., Prosser, J. I. & Nicol, G. W. Cultivation of an obligate acidophilic ammonia oxidizer from a nitrifying acid soil. Proc. Natl. Acad. Sci. U.S.A. 108, 15892–15897 (2011).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Banning, N. C., Maccarone, L. D., Fisk, L. M. & Murphy, D. V. Ammonia-oxidising bacteria not archaea dominate nitrification activity in semi-arid agricultural soil. Sci. Rep. 5, 11146 (2015).PubMed 
    PubMed Central 

    Google Scholar 
    Di, H. J. et al. Ammonia-oxidizing bacteria and archaea grow under contrasting soil nitrogen conditions. FEMS Microbiol. Ecol. 72, 386–394 (2010).CAS 
    PubMed 

    Google Scholar 
    Wang, J., Wang, J., Rhodes, G., He, J. Z. & Ge, Y. Adaptive responses of comammox Nitrospira and canonical ammonia oxidizers to long-term fertilizations: Implications for the relative contributions of different ammonia oxidizers to soil nitrogen cycling. Sci. Total Environ. 668, 224–233 (2019).CAS 
    PubMed 

    Google Scholar 
    Ouyang, Y., Evans, S. E., Friesen, M. L. & Tiemann, L. K. Effect of nitrogen fertilization on the abundance of nitrogen cycling genes in agricultural soils: A meta-analysis of field studies. Soil Biol. Biochem. 127, 71–78 (2018).CAS 

    Google Scholar 
    Verhamme, D. T., Prosser, J. I. & Nicol, G. W. Ammonia concentration determines differential growth of ammonia-oxidising archaea and bacteria in soil microcosms. ISME J. 5, 1067–1071 (2011).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wardle, D. A. Controls of temporal variability of the soil microbial biomass: A global-scale synthesis. Soil Biol. Biochem. 30, 1627–1637 (1998).CAS 

    Google Scholar 
    Adair, K. L. & Schwartz, E. Evidence that ammonia-oxidizing archaea are more abundant than ammonia-oxidizing bacteria in semiarid soils of northern Arizona, USA. Microb. Ecol. 56, 420–426 (2008).CAS 
    PubMed 

    Google Scholar 
    Taylor, A. E., Zeglin, L. H., Wanzek, T. A., Myrold, D. D. & Bottomley, P. J. Dynamics of ammonia-oxidizing archaea and bacteria populations and contributions to soil nitrification potentials. ISME J. 6, 2024–2032 (2012).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Hayatsu, M., Katsuyama, C. & Tago, K. Overview of recent researches on nitrifying microorganisms in soil. Soil Sci. Plant Nutr. 67, 1–14 (2021).
    Google Scholar 
    Sher, Y., Zaady, E. & Nejidat, A. Spatial and temporal diversity and abundance of ammonia oxidizers in semi-arid and arid soils: Indications for a differential seasonal effect on archaeal and bacterial ammonia oxidizers. FEMS Microbiol. Ecol 86, 544–556 (2013).CAS 
    PubMed 

    Google Scholar 
    Stopnišek, N. et al. Thaumarchaeal ammonia oxidation in an acidic forest peat soil is not influenced by ammonium amendment. Appl. Environ. Microbiol. 76, 7626–7634 (2010).PubMed 
    PubMed Central 

    Google Scholar 
    Habteselassie, M. Y., Xu, L. & Norton, J. M. Ammonia-oxidizer communities in an agricultural soil treated with contrasting nitrogen sources. Front. Microbiol. 4, 326 (2013).PubMed 
    PubMed Central 

    Google Scholar 
    Wang, C. et al. Climate change amplifies gross nitrogen turnover in montane grasslands of Central Europe in both summer and winter seasons. Glob. Change Biol. 22, 2963–2978 (2016).
    Google Scholar 
    Wessén, E., Nyberg, K., Jansson, J. K. & Hallin, S. Responses of bacterial and archaeal ammonia oxidizers to soil organic and fertilizer amendments under long-term management. Appl. Soil Ecol. 45, 193–200 (2010).
    Google Scholar 
    Kong, A. Y. Y., Hristova, K., Scow, K. M. & Six, J. Impacts of different N management regimes on nitrifier and denitrifier communities and N cycling in soil microenvironments. Soil Biol. Biochem. 42, 1523–1533 (2010).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Harrison, P. & Pearce, F. AAAS Atlas of Population & Environment 204 (University of California Press, 2000).
    Google Scholar 
    Reynolds, J. F., Maestre, F. T., Kemp, P. R., Smith, D. M. S. & Lambin, E. F. Natural and human dimensions of land degradation in drylands: Causes and consequences. In Terrestrial Ecosystems in a Changing World Global Change—The IGBP Series (eds Canadell, J. G. et al.) 247–258 (Springer, 2007).
    Google Scholar 
    McArthur, W. M. Reference Soils of South-Western Australia 2nd edn. (Department of Agriculture, 2004).
    Google Scholar 
    Barton, L., Murphy, D. V. & Butterbach-Bahl, K. Influence of crop rotation and liming on greenhouse gas emissions from a semi-arid soil. Agric. Ecosyst. Environ. 167, 23–32 (2013).CAS 

    Google Scholar 
    Barton, L., Hoyle, F. C., Stefanova, K. T. & Murphy, D. V. Incorporating organic matter alters soil greenhouse gas emissions and increases grain yield in a semi-arid climate. Agric. Ecosyst. Environ. 231, 320–330 (2016).CAS 

    Google Scholar 
    Gubry-Rangin, C., Nicol, G. W. & Prosser, J. I. Archaea rather than bacteria control nitrification in two agricultural acidic soils. FEMS Microbiol. Ecol. 74, 566–574 (2010).CAS 
    PubMed 

    Google Scholar 
    Gleeson, D. B. et al. Response of ammonia oxidizing archaea and bacteria to changing water filled pore space. Soil Biol. Biochem. 42, 1888–1891 (2010).CAS 

    Google Scholar 
    O’Sullivan, C. A., Wakelin, S. A., Fillery, I. R. P. & Roper, M. M. Factors affecting ammonia-oxidising microorganisms and potential nitrification rates in southern Australian agricultural soils. Soil Res. 51, 240–252 (2013).
    Google Scholar 
    Zhang, L.-M., Hu, H.-W., Shen, J.-P. & He, J.-Z. Ammonia-oxidizing archaea have more important role than ammonia-oxidizing bacteria in ammonia oxidation of strongly acidic soils. ISME J. 6, 1032–1045 (2012).CAS 
    PubMed 

    Google Scholar 
    Wang, F. et al. Responses of soil ammonia-oxidizing bacteria and archaea to short-term warming and nitrogen input in a semi-arid grassland on the Loess Plateau. Eur. J. Soil Biol. 102, 103267 (2021).CAS 

    Google Scholar 
    Bolland, M. D. A. & Brennan, R. F. Phosphorus, copper and zinc requirements of no-till wheat crops and methods of collecting soil samples for soil testing. Aust. J. Exp. Agric. 46, 1051–1059 (2006).CAS 

    Google Scholar 
    Gilkes, B., Lee, S. & Singh, B. The imprinting of aridity upon a lateritic landscape: An illustration from southwestern Australia. C. R. Geosci. 335, 1207–1218 (2003).
    Google Scholar 
    Hoyle, F. C. & Murphy, D. V. Influence of organic residues and soil incorporation on temporal measures of microbial biomass and plant available nitrogen. Plant Soil 347, 53–64 (2011).CAS 

    Google Scholar 
    Noy-Meir, I. Desert ecosystems: Environment and producers. Annu. Rev. Ecol. Syst. 4, 25–51 (1973).
    Google Scholar 
    Petersen, D. G. et al. Abundance of microbial genes associated with nitrogen cycling as indices of biogeochemical process rates across a vegetation gradient in Alaska. Environ. Microbiol. 14, 993–1008 (2012).CAS 
    PubMed 

    Google Scholar 
    Fisk, L. M., Barton, L., Jones, D. L., Glanville, H. C. & Murphy, D. V. Root exudate carbon mitigates nitrogen loss in a semi-arid soil. Soil Biol. Biochem. 88, 380–389 (2015).CAS 

    Google Scholar 
    Murphy, D. V., Sparling, G. P., Fillery, I. R. P., McNeill, A. M. & Braunberger, P. Mineralisation of soil organic nitrogen and microbial respiration after simulated summer rainfall events in an agricultural soil. Aust. J. Soil Res. 36, 231–246 (1998).
    Google Scholar 
    Anderson, G. C., Fillery, I. R. P., Dunin, F. X., Dolling, P. J. & Asseng, S. Nitrogen and water flows under pasture–wheat and lupin–wheat rotations in deep sands in Western Australia 2. Drainage and nitrate leaching. Aust. J. Agric. Res. 49, 345–361 (1998).CAS 

    Google Scholar 
    Nicholls, N. Local and remote causes of the southern Australian autumn-winter rainfall decline, 1958–2007. Clim. Dyn. 34, 835–845 (2010).
    Google Scholar 
    Delworth, T. L. & Zeng, F. Regional rainfall decline in Australia attributed to anthropogenic greenhouse gases and ozone levels. Nat. Geosci. 7, 583 (2014).CAS 

    Google Scholar 
    Alexander, L. V. et al. Trends in Australia’s climate means and extremes: A global context. Aust. Meteorol. Mag. 56, 1–18 (2007).
    Google Scholar 
    Austin, A. T. et al. Water pulses and biogeochemical cycles in arid and semiarid ecosystems. Oecologia 141, 221–235 (2004).PubMed 

    Google Scholar 
    Isbell, R. F. The Australian Soil Classification 2nd edn. (CSIRO Publishing, 2002).
    Google Scholar 
    IUSS Working Group WRB. World Reference Base for Soil Resources 2006, First Update 2007 203 (FAO, 2007).
    Google Scholar 
    Brookes, P. C., Landman, A., Pruden, G. & Jenkinson, D. S. Chloroform fumigation and the release of soil nitrogen: A rapid direct extraction method to measure microbial biomass nitrogen in soil. Soil Biol. Biochem. 17, 837–842 (1985).CAS 

    Google Scholar 
    Wu, J., Joergensen, R. G., Pommerening, B., Chaussod, R. & Brookes, P. C. Measurement of soil microbial biomass C by fumigation-extraction—An automated procedure. Soil Biol. Biochem. 22, 1167–1169 (1990).CAS 

    Google Scholar 
    Krom, M. D. Spectrophotometric determination of ammonia: A study of a modified Berthelot reaction using salicylate and dichloroisocyanurate. Analyst 105, 305–316 (1980).CAS 

    Google Scholar 
    Kamphake, L. J., Hannah, S. A. & Cohen, J. M. Automated analysis for nitrate by hydrazine reduction. Water Res. 1, 205–216 (1967).CAS 

    Google Scholar 
    Keeney, D. R. & Bremner, J. M. Comparison and evaluation of laboratory methods of obtaining an index of soil nitrogen availability. Agron. J. 58, 498–503 (1966).CAS 

    Google Scholar 
    Waring, S. A. & Bremner, J. M. Ammonium production in soil under waterlogged conditions as an index of nitrogen availability. Nature 201, 951–952 (1964).CAS 

    Google Scholar 
    Griffiths, R. I., Whiteley, A. S., O’Donnell, A. G. & Bailey, M. J. Rapid method for coextraction of DNA and RNA from natural environments for analysis of ribosomal DNA- and rRNA-based microbial community composition. Appl. Environ. Microbiol. 66, 5488–5491 (2000).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Francis, C. A., Roberts, K. J., Beman, J. M., Santoro, A. E. & Oakley, B. B. Ubiquity and diversity of ammonia-oxidizing archaea in water columns and sediments of the ocean. Proc. Natl. Acad. Sci. U.S.A. 102, 14683–14688 (2005).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Barton, L., Gleeson, D. B., Maccarone, L. D., Zúñiga, L. P. & Murphy, D. V. Is liming soil a strategy for mitigating nitrous oxide emissions from semi-arid soils? Soil Biol. Biochem. 62, 28–35 (2013).CAS 

    Google Scholar 
    Akaike, H. Likelihood of a model and information criteria. J. Econom. 16, 3–14 (1981).MATH 

    Google Scholar 
    Cresswell, H. P. & Hamilton, G. J. Bulk density and pore space relations. In Soil Physical Measurement and Interpretation for Land Evaluation (eds McKenzie, N. et al.) 35–58 (CSIRO Publishing, 2002).
    Google Scholar 
    Rayment, G. E. & Lyons, D. J. Soil Chemical Methods—Australasia 495 (CSIRO Publishing, 2011).
    Google Scholar  More

  • in

    Risk factors for antibiotic-resistant bacteria colonisation in children with chronic complex conditions

    Meropol, S. B., Haupt, A. A. & Debanne, S. M. Incidence and outcomes of infections caused by multidrug-resistant Enterobacteriaceae in Children, 2007–2015. J. Pediatr. Infect. Dis. Soc. 7, 36–45 (2018).Article 

    Google Scholar 
    Moxon, C. A. & Paulus, S. Beta-lactamases in Enterobacteriaceae infections in children. J. Infect. 72, S41–S49 (2016).PubMed 
    Article 

    Google Scholar 
    Morrissey, I. et al. A review of ten years of the study for monitoring antimicrobial resistance trends (SMART) from 2002 to 2011. Pharmaceuticals 6, 1335–1346 (2013).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Junnila, J. et al. Changing epidemiology of methicillin-resistant Staphylococcus aureus in a low endemicity area—new challenges for MRSA control. Eur. J. Clin. Microbiol. Infect. Dis. 39, 2299–2307 (2020).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Milstone, A. M. et al. Methicillin-resistant Staphylococcus aureus colonization and risk of subsequent infection in critically ill children: Importance of preventing nosocomial methicillin-resistant Staphylococcus aureus transmission. Clin. Infect. Dis. 53, 853–859 (2011).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Lakhundi, S. & Zhang, K. Methicillin-resistant Staphylococcus aureus: Molecular characterization, evolution, and epidemiology. Clin. Microbiol. Rev. 31, e00020-18 (2018).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Schlesinger, Y. et al. Methicillin-resistant nasal colonization in children in Jerusalem: Community vs. chronic care institutions. Isr. Med. Assoc. J. 5, 847–851 (2003).PubMed 

    Google Scholar 
    Liang, B. et al. Active surveillance, drug resistance, and genotypic profiling of Staphylococcus aureus among school-age children in China. Front. Med. 8, 701494 (2021).Article 

    Google Scholar 
    Del Rosal, T. et al. Staphylococcus aureus nasal colonization in Spanish children. The COSACO Nationwide Surveillance Study. Infect. Drug Resist. 13, 4643–4651 (2020).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Feudtner, C., Feinstein, J. A., Zhong, W., Hall, M. & Dai, D. Pediatric complex chronic conditions classification system version 2: Updated for ICD-10 and complex medical technology dependence and transplantation. BMC Pediatr. 14, 199 (2014).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Climent Alcalá, F. J., García Fernández de Villalta, M., Escosa García, L., Rodríguez Alonso, A. & Albajara Velasco, L. A. Unidad de niños con patología crónica compleja. Un modelo necesario en nuestros hospitales. Anales de Pediatría 88, 12–18 (2018).PubMed 
    Article 

    Google Scholar 
    Gesualdo, F. et al. Methicillin-resistant Staphylococcus aureus nasal colonization in a department of pediatrics: A cross-sectional study. Ital. J. Pediatr. 40, 3 (2014).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Yamamoto, M. et al. Effective surveillance to identify the surgical patients carrying methicillin-resistant Staphylococcus aureus on admission in a pediatric ward. Osaka City Med. J. 62, 1–9 (2016).PubMed 

    Google Scholar 
    Lukac, P. J., Bonomo, R. A. & Logan, L. K. Extended-spectrum-lactamase-producing Enterobacteriaceae in children: Old foe, emerging threat. Clin. Infect. Dis. https://doi.org/10.1093/cid/civ020 (2015).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Fedler, K. A., Biedenbach, D. J. & Jones, R. N. Assessment of pathogen frequency and resistance patterns among pediatric patient isolates: Report from the 2004 SENTRY Antimicrobial Surveillance Program on 3 continents. Diagn. Microbiol. Infect. Dis. 56, 427–436 (2006).CAS 
    PubMed 
    Article 

    Google Scholar 
    Caselli, D. et al. Incidence of colonization and bloodstream infection with carbapenem-resistant Enterobacteriaceae in children receiving antineoplastic chemotherapy in Italy. Infect. Dis. 48, 152–155 (2016).Article 

    Google Scholar 
    Logan, L. K. et al. Multidrug- and Carbapenem-Resistant Pseudomonas aeruginosa in Children, United States, 1999–2012. JPIDSJ piw064 (2016) https://doi.org/10.1093/jpids/piw064.Flokas, M. E., Alevizakos, M., Shehadeh, F., Andreatos, N. & Mylonakis, E. Extended-spectrum β-lactamase-producing Enterobacteriaceae colonisation in long-term care facilities: A systematic review and meta-analysis. Int. J. Antimicrob. Agents 50, 649–656 (2017).CAS 
    PubMed 
    Article 

    Google Scholar 
    Bharadwaj, R. et al. Drug-resistant Enterobacteriaceae colonization is associated with healthcare utilization and antimicrobial use among inpatients in Pune, India. BMC Infect. Dis. 18, 504 (2018).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Logan, L. K. Carbapenem-resistant Enterobacteriaceae: An emerging problem in children. Clin. Infect. Dis. 55, 852–859 (2012).CAS 
    PubMed 
    Article 

    Google Scholar 
    Badal, R. E. et al. Etiology, extended-spectrum β-lactamase rates and antimicrobial susceptibility of gram-negative bacilli causing intra-abdominal infections in patients in general pediatric and pediatric intensive care units—global data from the Study for Monitoring Antimicrobial Resistance Trends 2008 to 2010. Pediatr. Infect. Dis. J. 32, 636–640 (2013).PubMed 
    Article 

    Google Scholar 
    Wang, Q. et al. Risk factors and clinical outcomes for carbapenem-resistant Enterobacteriaceae nosocomial infections. Eur. J. Clin. Microbiol. Infect. Dis. 35, 1679–1689 (2016).CAS 
    PubMed 
    Article 

    Google Scholar 
    Sahbudak Bal, Z. et al. The prospective evaluation of risk factors and clinical influence of carbapenem resistance in children with gram-negative bacteria infection. Am. J. Infect. Control 46, 147–153 (2018).CAS 
    PubMed 
    Article 

    Google Scholar 
    Simon, T. D. et al. Pediatric medical complexity algorithm: A new method to stratify children by medical complexity. Pediatrics 133, e1647–e1654 (2014).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Román, F. et al. Characterization of methicillin-resistant Staphylococcus aureus strains colonizing the nostrils of Spanish children. MicrobiologyOpen 10, e1235 (2021).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    EUCAST. European committee on antimicrobial susceptibility testing breakpoint tables for interpretation of MICs and zone diameters. The European Committee on Antimicrobial Susceptibility Testing. (2018).Oteo, J. et al. Prospective multicenter study of carbapenemase-producing Enterobacteriaceae from 83 hospitals in Spain reveals high in vitro susceptibility to colistin and meropenem. Antimicrob. Agents Chemother. 59, 3406–3412 (2015).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Maseda, E. et al. Risk factors for colonization by carbapenemase-producing enterobacteria at admission to a Surgical ICU: A retrospective study. Enferm. Infecc. Microbiol. Clin. 35, 333–337 (2017).PubMed 
    Article 

    Google Scholar 
    Bassetti, M., Nicco, E. & Mikulska, M. Why is community-associated MRSA spreading across the world and how will it change clinical practice?. Int. J. Antimicrob. Agents 34, S15–S19 (2009).CAS 
    PubMed 
    Article 

    Google Scholar 
    El Cheikh, M. R., Barbosa, J. M., Caixêta, J. A. S. & Avelino, M. A. G. Microbiology of tracheal secretions: What to expect with children and adolescents with tracheostomies. Int. Arch. Otorhinolaryngol. 22, 50–54 (2018).PubMed 
    Article 

    Google Scholar 
    González-Del Castillo, J. et al. BAHNG score: Predictive model for detection of subjects with the oropharynx colonized by uncommon microorganisms. Rev. Esp Quimioter. 30, 422–428 (2017).PubMed 

    Google Scholar 
    Hu, X. et al. Risk factors for methicillin-resistant Staphylococcus aureus colonization and infection in patients with human immunodeficiency virus infection: A systematic review and meta-analysis. J. Int. Med. Res. 50, 3000605211063019 (2022).CAS 
    PubMed 

    Google Scholar 
    Gleeson, A., Larkin, P., Walsh, C. & O’Sullivan, N. Methicillin-resistant Staphylococcus aureus: Prevalence, incidence, risk factors, and effects on survival of patients in a specialist palliative care unit: A prospective observational study. Palliat. Med. 30, 374–381 (2016).PubMed 
    Article 

    Google Scholar 
    Hogardt, M. et al. Current prevalence of multidrug-resistant organisms in long-term care facilities in the Rhine-Main district, Germany, 2013. Euro Surveill. 20, 21171 (2015).PubMed 
    Article 

    Google Scholar 
    Warren, D. K. et al. Epidemiology of methicillin-resistant Staphylococcus aureus colonization in a surgical intensive care unit. Infect. Control Hosp. Epidemiol. 27, 1032–1040 (2006).PubMed 
    Article 

    Google Scholar 
    Folgori, L. et al. Healthcare-associated infections in pediatric and neonatal intensive care units: Impact of underlying risk factors and antimicrobial resistance on 30-day case-fatality in Italy and Brazil. Infect. Control Hosp. Epidemiol. 37, 1302–1309 (2016).PubMed 
    Article 

    Google Scholar 
    Béranger, A. et al. Early bacterial infections after pediatric liver transplantation in the era of multidrug-resistant bacteria: Nine-year single-center retrospective experience. Pediatr. Infect. Dis. J. 39, e169–e175 (2020).PubMed 
    Article 

    Google Scholar 
    Bouras, D. et al. Staphylococcus aureus osteoarticular infections in children: An 8-year review of molecular microbiology, antibiotic resistance and clinical characteristics. J. Med. Microbiol. 67, 1753–1760 (2018).MathSciNet 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Rodriguez, M., Hogan, P. G., Krauss, M., Warren, D. K. & Fritz, S. A. Measurement and impact of Staphylococcus aureus colonization pressure in households. J. Pediatr. Infect. Dis. Soc. 2, 147–154 (2013).Article 

    Google Scholar 
    Messina, N. L., Williamson, D. A., Robins-Browne, R., Bryant, P. A. & Curtis, N. Risk factors for carriage of antibiotic-resistant bacteria in healthy children in the community: A systematic review. Pediatr. Infect. Dis. J. 39, 397–405 (2020).PubMed 
    Article 

    Google Scholar 
    Dualleh, N. et al. Colonization with multiresistant bacteria in acute hospital care: The association of prior antibiotic consumption as a risk factor. J. Antimicrob. Chemother. 75, 3675–3681 (2020).CAS 
    PubMed 
    Article 

    Google Scholar 
    Daskalaki, M. et al. Panton-Valentine leukocidin-positive Staphylococcus aureus skin and soft tissue infections among children in an emergency department in Madrid, Spain. Clin. Microbiol. Infect. 16, 74–77 (2010).CAS 
    PubMed 
    Article 

    Google Scholar 
    Aguilera-Alonso, D., Escosa-García, L., Saavedra-Lozano, J., Cercenado, E. & Baquero-Artigao, F. Carbapenem-resistant gram-negative bacterial infections in children. Antimicrob. Agents Chemother. 64, e02183-e2219 (2020).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Phichaphop, C. et al. High prevalence of multidrug-resistant gram-negative bacterial infection following pediatric liver transplantation. Medicine 99, e23169 (2020).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Tacconelli, E. et al. ESCMID guidelines for the management of the infection control measures to reduce transmission of multidrug-resistant Gram-negative bacteria in hospitalized patients. Clin. Microbiol. Infect. 20, 1–55 (2014).PubMed 
    Article 

    Google Scholar 
    McConville, T. H., Sullivan, S. B., Gomez-Simmonds, A., Whittier, S. & Uhlemann, A.-C. Carbapenem-resistant Enterobacteriaceae colonization (CRE) and subsequent risk of infection and 90-day mortality in critically ill patients, an observational study. PLoS ONE 12, e0186195 (2017).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Tamma, P. D. et al. The likelihood of developing a carbapenem-resistant Enterobacteriaceae Infection during a hospital stay. Antimicrob. Agents Chemother. 63, e00757-e819 (2019).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Detsis, M., Karanika, S. & Mylonakis, E. ICU acquisition rate, risk factors, and clinical significance of digestive tract colonization with extended-spectrum beta-lactamase-producing Enterobacteriaceae: A systematic review and meta-analysis. Crit. Care Med. 45, 705–714 (2017).PubMed 
    Article 

    Google Scholar  More

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    Molecular confirmation of the hybrid origin of Sparganium longifolium (Typhaceae)

    The haplotype networks, PCoA analysis and STRUCTURE analysis based on the six nuclear loci confirm that S. longifolium is a hybrid between S. emersum and S. gramineum, providing molecular support for previous morphological analyses5. Furthermore, all individuals with intermediate admixture coefficient (Fig. 2b) and private haplotypes only present in one out of six nuclear loci (Fig. 1) suggest that S. longifolium is most likely a F1 hybrid. We thus hypothesized that S. emersum and S. gramineum could likely maintain their species boundary through the post-zygote reproductive isolation mechanism of F1 generation sterility. This hypothesis is possible based on the observations from hybrids in European Russia. The pollen viability was checked in S. longifolium samples from Vysokovskoe Lake and Sabro Lake, and the vast majority of checked pollens were sterile5. In addition, flowering plants of S. longifolium often do not form seeds, or the seeds are puny and significantly inferior to normal seeds in size5. However, the hypothesis is only based on our limited sampling, which is contrary to the conclusion inferred from morphological characteristics that it is fertile and may backcross with parental species1. Further studies with extensive sampling are necessary to test our hypothesis.The chloroplast DNA fragment trnH-psbA was used to infer the direction of hybridization between S. emersum and S. gramineum because chloroplast DNA is maternal inheritance in Sparganium3,4. The hybrid S. longifolium shared haplotypes with S. emersum and S. gramineum simultaneously (Fig. 1). This finding clearly indicates that bidirectional hybridization exists between S. emersum and S. gramineum. At the same time, the different frequency of these two haplotypes in the hybrid (H1, 19.1% vs. H2, 80.9%) means that the direction of hybridization is asymmetric. A variety of factors can lead to asymmetry in natural hybridization, such as flowering time, preference of pollinators, quality and quantity of pollen, cross incompatibility and the abundance of parent species7,8. Rare species usually act as maternal species relative to abundant species9,10. S. gramineum is confined to oligotrophic lakes and its abundance is obviously lower than that of S. emersum1,11. The relatively scarcity combined with the ecology of S. gramineum make it more often act as maternal species when hybridizing with S. emersum.As described by5, the morphological diversification of S. longifolium was also observed in this study. For example, individuals of S. longifolium with emergent and floating-leaved life forms occur concurrently in Zaozer’ye Lake (Supplementary Fig. S2). However, all individuals had the same haplotype H2 as S. gramineum (Fig. 1), suggesting that the direction of hybridization do not determine life form of S. longifolium. In addition, all individuals of S. longifolium sampled here are likely F1 hybrid. Their variable phenotypes could not be associated with traits segregation due to F2 generation or backcross. Detailed ecological investigation combining with research at the genomic level are essential to find out the potential factors leading to morphological diversification of S. longifolium.Here, using sequences of six nuclear loci and one chloroplast DNA fragment, we confirmed that S. longifolium is the hybrid between S. emersum and S. gramineum. The natural hybridization between S. emersum and S. gramineum is bidirectional but the latter mainly acts as maternal species. We also found that all samples of S. longifolium were F1 generations, indicating that S. emersum and S. gramineum could maintain their species boundary through the post-zygote reproductive isolation mechanism of F1 generation sterility. More

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    Expanding beaver pond distribution in Arctic Alaska, 1949 to 2019

    Brown, R., Derksen, C, & Wang, L. A multi‐data set analysis of variability and change in Arctic spring snow cover extent, 1967–2008. J. Geophys. Res. Atmos. 115(D16), 1–16 (2010).Tan, A., Adam J. C., & Lettenmaier, D. P. Change in spring snowmelt timing in Eurasian Arctic rivers. J. Geophys. Rese. Atmos. 116(D3), 1–12 (2011).St. Jacques, J. M., & Sauchyn, D. J. Increasing winter baseflow and mean annual streamflow from possible permafrost thawing in the Northwest Territories, Canada. Geophys. Res. Lett. 36(1), 1–6 (2009).Liljedahl, A. K. et al. Pan-Arctic ice-wedge degradation in warming permafrost and its influence on tundra hydrology. Nat. Geosci. 9(4), 312–318 (2016).ADS 
    CAS 
    Article 

    Google Scholar 
    Farquharson, L. M. et al. Climate change drives widespread and rapid thermokarst development in very cold permafrost in the Canadian High Arctic. Geophys. Res. Lett. 46(12), 6681–6689 (2019).ADS 
    Article 

    Google Scholar 
    Nitze, I. et al. Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. Nat. Commun. 9(1), 1–11 (2018).Article 

    Google Scholar 
    Lewkowicz, A. G. & Way, R. G. Extremes of summer climate trigger thousands of thermokarst landslides in a High Arctic environment. Nat. Commun. 10(1), 1–11 (2019).CAS 
    Article 

    Google Scholar 
    Jones, M. K. W., Pollard, W. H. & Jones, B. M. Rapid initialization of retrogressive thaw slumps in the Canadian high Arctic and their response to climate and terrain factors. Environ. Res. Lett. 14(5), 055006 (2019).ADS 
    Article 

    Google Scholar 
    Schuur, E. A. G. et al. Climate change and the permafrost carbon feedback. Nature 520(7546), 171–179 (2015).ADS 
    CAS 
    Article 

    Google Scholar 
    Sturm, M., Racine, C. & Tape, K. D. Increasing shrub abundance in the Arctic. Nature 411(6837), 546–547 (2001).ADS 
    CAS 
    Article 

    Google Scholar 
    Berner, L. T. et al. Summer warming explains widespread but not uniform greening in the Arctic tundra biome. Nat. Commun. 11(1), 1–12 (2020).ADS 
    MathSciNet 
    Article 

    Google Scholar 
    Tape, K. D. et al. Range expansion of moose in Arctic Alaska linked to warming and increased shrub habitat. PLoS ONE 11(4), e0152636 (2016).Article 

    Google Scholar 
    Ward, D. H. et al. Multi-decadal trends in spring arrival of avian migrants to the central Arctic coast of Alaska: Effects of environmental and ecological factors. J. Avian Biol. 47(2), 197–207 (2016).Article 

    Google Scholar 
    Tape, K. D. et al. Tundra be dammed: beaver colonization of the Arctic. Glob. Change Biol. 24(10), 4478–4488 (2018).ADS 
    Article 

    Google Scholar 
    Whitfield, C. J. et al. Beaver-mediated methane emission: the effects of population growth in Eurasia and the Americas. Ambio 44(1), 7–15 (2015).CAS 
    Article 

    Google Scholar 
    Westbrook, C. J., Cooper, D. J., & Baker, B. W. Beaver dams and overbank floods influence groundwater–surface water interactions of a Rocky Mountain riparian area. Water Resour. Res. 42(6), 1–12 (2006).
    Bunn, S. E. & Arthington, A. H. Basic principles and ecological consequences of altered flow regimes for aquatic biodiversity. Environ. Manage 30(4), 492–507 (2002).Article 

    Google Scholar 
    Naiman, R. J. & Rogers, K. H. Large animals and system-level characteristics in river corridors. Bioscience 47(8), 521–529 (1997).Article 

    Google Scholar 
    Kemp, P. S. et al. Qualitative and quantitative effects of reintroduced beavers on stream fish. Fish Fish. 13(2), 158–181 (2012).Article 

    Google Scholar 
    Furbearer Reports, various authors. Alaska Department of Fish & Game, Division of Wildlife Conservation. Juneau, Alaska (1965–2017)Young, S.B., et al. The Environment of the Noatak River basin, Alaska. Center For Northern Studies. Wolcott, VT (1974)Melchior, H. R. ed. Terrestrial Mammals of the Chukchi-Imuruk Area. In Biological Survey of the Bering Land Bridge National Monument: Revised Final Report. Biology and Resource Management Program, Alaska Cooperative Park Studies Unit, University of Alaska (1979)Georgette, S. & Shiedt, A. Whitefish: traditional ecological knowledge and subsistence fishing in the Kotzebue Sound Region, Alaska. No. 290. Alaska Department of Fish and Game, Division of Subsistence (2005).Brubaker, M. et al. Climate change and health effects in Northwest Alaska. Glob. Health Action 4(1), 8445 (2011).MathSciNet 
    Article 

    Google Scholar 
    Rabung, S. & Norton sound bering straight regional planning team. Norton Sound Bering Straight Regional Comprehensive Salmon Plan: Phase II. Alaska Department of Fish & Game, 1–217 (2015)Jones, B. M. et al. Increase in beaver dams controls surface water and thermokarst dynamics in an Arctic tundra region, Baldwin Peninsula, northwestern Alaska. Environ. Res. Lett. 15(7), 075005 (2020).ADS 
    Article 

    Google Scholar 
    Brewer, M. C. The thermal regime of an arctic lake. EOS Trans. Am. Geophys. Union 39(2), 278–284 (1958).Article 

    Google Scholar 
    Jorgenson, M. T. et al. Resilience and vulnerability of permafrost to climate change. Can. J. For. Res. 40(7), 1219–1236 (2010).Article 

    Google Scholar 
    Lachenbruch, A. H. et al. Temperatures in permafrost. Temp. Meas. Control Sci. Ind. 1, 791 (1962).
    Google Scholar 
    Smith, M. W. Microclimatic influences on ground temperatures and permafrost distribution, Mackenzie Delta, Northwest Territories. Can. J. Earth Sci. 12(8), 1421–1438 (1975).ADS 
    Article 

    Google Scholar 
    Langer, M. et al. Rapid degradation of permafrost underneath waterbodies in tundra landscapes—toward a representation of thermokarst in land surface models. J. Geophys. Res. Earth Surf. 121(12), 2446–2470 (2016).ADS 
    Article 

    Google Scholar 
    Jones, B. M. et al. Identification of unrecognized tundra fire events on the north slope of Alaska. J. Geophys. Res. Biogeosci. 118(3), 1334–1344 (2013).Article 

    Google Scholar 
    Kantner, S. Swallowed by the Great Land: And Other Dispatches from Alaska’s Frontier. Mountaineers Books (2015)Pastick, N. J. et al. Distribution of near-surface permafrost in Alaska: Estimates of present and future conditions. Remote Sens. Environ. 168, 301–315 (2015).ADS 
    Article 

    Google Scholar 
    Obu, J. et al. Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale. Earth Sci. Rev. 193, 299–316 (2019).ADS 
    Article 

    Google Scholar 
    Willby, N. J. et al. Rewilding wetlands: beaver as agents of within-habitat heterogeneity and the responses of contrasting biota. Philos. Trans. R. Soc. B Biol. Sci. 373(1761), 20170444 (2018).Article 

    Google Scholar 
    Kivinen, S., Nummi, P. & Kumpula, T. Beaver-induced spatiotemporal patch dynamics affect landscape-level environmental heterogeneity. Environ. Res. Lett. 15(9), 094065 (2020).ADS 
    Article 

    Google Scholar 
    Pollock, M. M. et al. The importance of beaver ponds to coho salmon production in the Stillaguamish River basin, Washington, USA. North Am. J. Fish. Manag. 24(3), 749–760 (2004).Article 

    Google Scholar 
    Weber, N. et al. Alteration of stream temperature by natural and artificial beaver dams. PLoS ONE 12(5), e0176313 (2017).Article 

    Google Scholar 
    Nicieza, A. G. & Metcalfe, N. B. Growth compensation in juvenile Atlantic salmon: responses to depressed temperature and food availability. Ecology 78(8), 2385–2400 (1997).Article 

    Google Scholar 
    Deegan, L. A. et al. Influence of environmental variability on the growth of age-0 and adult Arctic grayling. Trans. Am. Fish. Soc. 128(6), 1163–1175 (1999).Article 

    Google Scholar 
    Jones, B. M. et al. Multi-dimensional remote sensing analysis documents beaver-induced permafrost degradation, Seward Peninsula, Alaska. Remote Sens. 13(23), 4863 (2021).ADS 
    Article 

    Google Scholar 
    Turetsky, M. R. et al. Permafrost collapse is accelerating carbon release. Nature 569, 32–34 (2019).ADS 
    CAS 
    Article 

    Google Scholar 
    Jung, T. S. et al. Colonization of the Beaufort coastal plain by Beaver (Castor canadensis): a response to shrubification of the Tundra?. Can. Field-Naturalist 130(4), 332–335 (2016).Article 

    Google Scholar 
    Halley, D. J., Saveljev, A. P. & Rosell, F. Population and distribution of beavers Castor fiber and Castor canadensis in Eurasia. Mammal Rev. 51(1), 1–24 (2021).Article 

    Google Scholar 
    Ecke, F. et al. Meta-analysis of environmental effects of beaver in relation to artificial dams. Environ. Res. Lett. 12(11), 113002 (2017).ADS 
    Article 

    Google Scholar 
    Raynolds, M. K. et al. A raster version of the Circumpolar Arctic Vegetation Map (CAVM). Remote Sens. Environ. 232, 111297 (2019).ADS 
    Article 

    Google Scholar  More

  • in

    Governing sustainable transformations of urban social-ecological-technological systems

    While rapid urbanization has been an engine of economic growth, it has also resulted in the encroachment on agricultural land and ecologically sensitive areas. In many places, it has also resulted in unequal access to opportunities and the inadequate provision of public services. Furthermore, climate change, biodiversity loss, economic crises, and other global processes are increasing the frequency and severity of disturbances, such as floods, droughts, storms, heatwaves, and sea level rise1, as well as the spread of epidemics and economic volatility. These shocks, in conjunction with unsustainable urban developments, pose challenges for cities, exposing their vulnerabilities and inadequate management paradigms2,3. For example, extreme water shortages in São Paulo have resulted from a confluence of increasing water demand, encroachment on urban watersheds, and deforestation in the Amazon4,5. These shortages have different impacts on urban dwellers in central and peripheral neighborhoods, disproportionately affecting already marginalized communities6. They are also a harbinger of future climate impacts on the city as a whole7.The functioning of cities depends on complex and interdependent social, ecological and technological systems. Citizens access water, electricity, food, health, and other services through complex networks of technological infrastructure and institutional arrangements that obscure the relationship between urban resource provision and the ecosystems that sustain them. The interdependencies in these systems mean that shocks can reverberate broadly, creating unanticipated and cascading crises. Shocks can propagate along supply chains, mobility networks, and across sectors, such as finance and health, and from local to global and back to local levels through non-linear feedback mechanisms8. For example, hurricanes hitting cities on the southern US coastline reveal the interdependencies between extreme weather events exacerbated by climate change and critical infrastructure systems and the sensitive ecological context in which they are situated. New Orleans has repeatedly seen the simultaneous breakdown of water supply, drainage services, and transportation networks, due to electricity system interruptions in response to coastal and riverine flooding or other storm impacts9. Furthermore, the poisoning of soil, water, and air from flooded and damaged oil refineries and other heavy industries disproportionally impacts marginalized communities because of pre-existing housing and insurance regulations10, as well as the region’s ecosystems. Similarly, the Covid-19 pandemic left cities scrambling to respond to an unprecedented health crisis, but also knock-on economic effects that led to shortages of jobs, affordable housing, and food11. These multi-hazard events and cascading crises, and their intersection with systemic racism and other environmental justice issues, highlight the need for coordination across sectors and scales. Furthermore, cities are embedded into international trade networks that deliver goods and services from around the globe12. Decision-making at the local scale therefore has the potential to influence resilience and sustainability both locally and globally13,14,15.Coordination across complex and interdependent urban systems requires adequate forms of governance. Since almost all future population growth is projected to be in urban areas, identifying which governance arrangements allow for inclusive decision-making, management, and planning, while allowing for system-wide transformations, is crucial not only for the well-being of urban dwellers but also for achieving climate goals and maintaining the biosphere16. Despite the urgent need for governance aimed at increasing urban sustainability1, there is limited research on the complexities of governing urban systems across sectors and scales17. Adequate frameworks and guidelines for how to govern such systems could help close the gap between the normative goal of urban sustainability across scales and the need to ensure resilience to shocks with on-the-ground practices18,19.While the concepts of resilience and sustainability are often used interchangeably, it is important to make the distinction between the two3,15,20. Resilience describes the perseverance of a system and its functions, especially its ability to recover from and reorganize in response to disturbances3,21. Resilience can therefore also describe systems in an undesirable regime (e.g., resource-intensive or socially unjust), where overcoming unsustainable practices is impeded due to the system’s resilience. Resilience approaches focus on the process of responding to disturbances, and building adaptive capacity to cope with unknown shocks and stressors22,23. Sustainability, on the other hand, is grounded in the maintenance of the biosphere, which is critical for human well-being and societal development3, and the equitable distribution of resources and services for current and future generations. Sustainability requires balancing societal and ecological goals across scales and over time20,24. It also requires transformative capacity—the ability to create fundamentally different human-environment interactions when a current system becomes untenable25. Sustainability approaches integrate normative values and anticipatory thinking to identify desirable future options and strategies to attain those options24,26,27.Governance refers to the ways in which individuals and organizations, public and private, manage their common affairs28. The process of governance (or the act of ‘governing’) encompasses “the activities of social, political, and administrative actors that can be seen as purposeful efforts to guide, steer, control, or manage the pursuance of public goods”29. The governance process is not limited to public goods and services, but also private goods, common-pool resources, and club goods. Governance of sustainability transformations must combine resilience and sustainability approaches24. This requires identifying and setting sustainability goals, facilitating the process of achieving these goals through proactive planning, learning, unlocking, and overcoming undesirable system states and path-dependencies30, while also anticipating and responding to unknown shocks and stressors22,23. Under certain conditions, socio-political shocks and natural disasters may provide a window of opportunity for transformative change31,32. Proactive governance may be able to harness these opportunities by responding to changing pressures and steering urban transformations towards sustainability31.In this review, we synthesize recent literature on the governance of urban sustainability transformations from a social-ecological-technological systems (SETS) perspective33,34. The conceptualization of cities as urban SETS highlights their complex and interdependent nature, the particular governance challenges this poses, and the importance of identifying governance structures that are able to coordinate across distinct sectors, spatial areas, and time. We bring together literature on sustainable resource management and service provision, social processes and transformative capacity, and governance and power relations among actors. The academic fields that this literature review integrates typically operate in isolation. However, their integration is crucial for enabling a deeper understanding of systemic urban sustainability transformations, as they provide insights into different aspects of the transformation of urban SETS.The remainder of this article is organized according to the elements of Fig. 1. In section 2, we introduce the concept of interdependent urban SETS across scales (Fig. 1a), and the role of governance in determining the evolution of urban SETS. Sections 3-5 represent the three elements in the outer circle of Fig. 1b: In section 3, we review innovations in sustainable resource management and service provision, which are fundamental to urban livelihoods, and require effective coordination across sectors and scales. In section 4, we turn to the role of ‘bottom-up’ experimentation for building sustainable and resilient communities, and the interplay between bottom-up and top-down efforts in initiating and enabling transformation processes. In section 5, we discuss the role of polycentric and multilevel governance arrangements, power-relations among governance actors, and the importance of governance ‘embeddedness’ in sustainability transformations. We summarize the elements of Fig. 1 and how they relate to the sustainable functioning and transformation of urban SETS in section 6. We conclude in section 7.Fig. 1: Governance of Urban Social-Ecological-Technological Systems.a Dependencies across time and space. Shocks and stressors have the potential to impact one or all elements of the SETS across spatial scales, and determine the evolution of the urban system (arrow ‘Temporal Dynamics’). Figure adapted from175. b Embedded Governance: Embedded actors and SETS elements interact to shape the governance of urban SETS, negotiate the interfaces of the SETS elements, and coordinate transformation processes towards sustainability across spatial and temporal scales. We focus on three interacting elements of particular importance: (1) Equitable and reliable access to resources in urban areas (‘Provision of goods and services’). These are an important basis for urban livelihoods and for inclusive social, economic, and political processes to take place. (2) The interactions of bottom-up processes and economic activities with top-down efforts by government actors (‘Bottom-up and top-down processes’). A balance between ‘top-down’ and ‘bottom-up’ dynamics can enable local innovation and experimentation to result in systemic transformations. (3) ‘Power-relations among actors’ determine the choice of policies, the distribution of resources and social influence, and thus, the trajectories of urban SETS. Arrows in (a) and (b) represent the embeddedness of governance.Full size imageUrban social-ecological-technological systems across scalesOur definition of ‘urban’ includes formal and informal settlements within a metropolitan area, as well as the footprints that an urban area produces through its supply chains and emissions. Thus, the spatial and institutional boundaries of ‘urban’ vary depending on the particular governance issue being considered. For example, the planning of bicycle lanes in a city has different boundaries than the issue of urban food security, which includes regional and global trade networks.Considering cities as SETS, and governance as embedded within these SETS, foregrounds the interdependencies, tradeoffs, and feedbacks across system elements at different scales and the implications of these dynamics for sustainability transformations16,34,35, as depicted in Fig. 1. Ecosystems include forests, oceans, rivers, lakes, groundwater, soils, and the atmosphere, which provide resources, including water, food, fuel, fiber, and other ecosystem services. The ecosystem dimension of SETS also includes the space or land that support urban economies and on which cities are built. The social system represents relevant actors and their interactions, including state authorities and agencies, individuals and civil society organizations, academics, business actors, and others, who gather information and make decisions over how to access and distribute resources, manage ecosystems, organize SETS in space, and consume or utilize the goods and services provided by ecosystems. The interactions among actors are mediated not only by norms, rules, culture, and power dynamics, but also by their ecological and technological environment. The technological system, or physical infrastructure, includes buildings, facilities, and infrastructure networks, which transport flows of resources, people, and information, and which mediate the interaction between ecosystems and social actors.One example of social-ecological-technological interactions is flood protection infrastructure (technological), which is planned and designed by decision-makers and built to protect urban populations (social) from storm surges, riverine flooding, and rising sea levels in coastal and riparian areas (ecological). Another example of SETS interactions that highlights the broad spatial dependencies are food supply chains. These include soils, water, plants, animals, and energy from the sun (ecological system), infrastructure deployed for planting and harvesting, for processing and storage, and for transportation and sale (technological), as well as the people involved along the supply chains and the citizens who depend on the delivery of food into urban areas (social system). Sustainable governance of these systems must ensure the inclusivity of the design and planning process, as well as the equitable and ecologically viable production and distribution of these goods and services.Governance, as defined here, determines the evolution of the SETS as a whole: how people live together and how they live within their social-ecological-technological environment, or, to take the specific examples from above: what types of flood protection measures are chosen, who is involved in the decision-making process, what type of food is grown where, for and by whom, using what technologies. Governance tools extend beyond formal laws and regulations to include informal and collective action mechanisms, such as access to reliable information, effective communication, monitoring and sanctioning of rule-breakers, and processes for resolving conflicts36,37. They also include nudges or messaging to promote more sustainable behaviors, the creation of ‘enabling environments’ for bottom-up processes and social movements, the building of adaptive capacities, and participatory mechanisms of co-production and management24,38,39,40,41,42,43, among others.Governance is also highly context- and path-dependent44,45, which is reflected in the diversity of sociopolitical and governance regimes around the world, the way in which cities are planned and built, the inclusiveness of the political process, and the distribution of resources, rights and services to citizens. That said, quantitative research has also identified regularities in how cities evolve across scales. This body of work has identified a set of scaling relations that can be used to predict the social, spatial and infrastructural properties of cities of different size and at different levels of development, and to inform urban planning strategies46,47,48.A sustainable governance system is able to anticipate and buffer temporal dynamics that arise from internal change processes or external pressures, and can adapt the urban system to ensure inclusive processes in determining how goods and services, such as transportation and health49, are provided. When critical links within the governance system and essential mechanisms of governance are missing, or when shocks are unanticipated, they can lead to catastrophic and cascading effects. For example, adequate anticipation, proactive and inclusive planning, and learning could make coastal cities, such as New Orleans, more prepared to respond to repeated hurricane threats. Tighter cross-scale and cross-level feedback loops, for example, between different cities, countries, and sectors, as well as anticipatory planning could have avoided some of the detrimental impacts of the Covid-19 pandemic and measures introduced to mitigate its spread50.Furthermore, efforts that do not take a holistic, cross-scale, and cross-level view but endeavor to transform one part of the system, may meet resistance, tradeoffs or unexpected responses from other system elements and scales35. For example, decisions by governments and private actors to reduce greenhouse gas (GHG) emissions has led to remarkable technological developments along the entire supply chain of production. As a case in point, in 2015, Apple partnered with its suppliers in China to install two gigawatts of renewable energy, reducing its supply-chain GHG emissions51. This shift in energy supply may entail other externalities. For example, the mineral resources required for a renewable energy transition are unevenly spread across the globe and require intensive, disruptive, and often exploitative mining practices52. The company, while improving its carbon footprint, has also been criticized for massive human rights abuses, including labor forces drawn from so-called ‘re-education camps’ for Uyghur people53. So, while a more conscious (urban) customer base is pushing powerful actors to address climate pressures through technological innovations, the abuse of labor rights and the existence of low labor standards remain unaddressed due to the disconnect between urban consumption and the production processes occurring in distant locations.The imbalance across different domains and dimensions of sustainability goals can be exacerbated by policies or incentives that are narrowly focused on one of the SETS elements rather than simultaneously considering sustainability across social, ecological, and technological systems. Therefore, sustainability transformation goals and processes should consider all of the SETS elements, including how they are embedded across sectors and scales.Sustainable urban resource management and service provisionHome to the majority of the global population, cities are the largest consumers of natural resources, and the largest producers of CO2 emissions and other environmental pollutants54. Thus, the way in which cities manage their resource demands and flows is decisive for the sustainability of urban areas, including the global ecosystems they rely on for the delivery of their goods and services. Conventional urban systems operate linearly: resources are extracted, used, and released as waste into the environment55. For example, cities access energy through extensive networks56; extract industrial and construction materials, such as metals and sand57,58; import food from across the globe59; reach hundreds of miles to extract water from distant rivers, lakes, and groundwater bodies60; and release pollution, such as domestic and industrial wastewater (with limited treatment) back into the environment61,62. These linear urban supply systems lack the necessary feedback between ecosystems and consumers to signal when ecosystems are being degraded or overexploited63,64.In contrast, cross-sectoral approaches focus on the synergies between the inputs and outputs of different sectors65. Systems of reuse and recycling66,67 have been deployed to address the problem of scarcity, such as implemented for Windhoek’s water supply system (Namibia)68, and in Singapore’s NEWater recycling system, both of which redistribute treated wastewater to customers69. Networked systems of water, energy, and food (WEF) can produce mutual benefits from their coordinated management17,70. WEF nexus approaches link the wastewater sector with agriculture through treated wastewater used in irrigation and recovered nutrients for the fertilization of crops71. Wastewater-energy co-benefits occur, for example, through the methane released from sewage sludge, which can be used for electricity production, such as implemented in Berlin (Germany), Melbourne (Australia)72,73 and urban China74. Food-energy co-benefits include the biodiesel produced from used cooking oil75 by several companies in North Carolina (USA)76. These cross-sector systems require intense coordination among social actors, ecosystems, and technologies16,35. For example, water suppliers and wastewater managers need to coordinate to ensure that water brought to the city and turned into wastewater can be adequately treated and discharged, and that the nutrients and biosolids extracted from sewage sludge adhere to quality standards to avoid soil and crop contamination (e.g., heavy metals contained in wastewater can contaminate agricultural soils, rivers, and groundwater).The circular economy (CE) and related concepts, such as urban metabolism, industrial ecology, cradle-to-cradle, material flows and life-cycle analysis, are recurring themes in the urban sustainability literature that stand in contrast to conventional, linear systems17,77,78. These CE approaches are gaining attention in both Global North and Global South cities79,80,81. Narrowly defined, the CE describes systems that reduce, recover, reuse, and recycle resources and materials across sectors19, similar to the networked WEF nexus. Other interpretations of the CE include well-being and inclusiveness as goals, and the need for a radical transformation of society, including shifts in mindsets and norms, policy-making, and business models, in order to decouple economic growth from resource consumption18. Safe and just operating space models15,82,83 combine ecological limits (i.e., the Planetary Boundaries84) with societal well-being. These approaches recognize that climate change and degrading ecosystems have disproportionate impacts on the urban poor, and, like other shocks, have the potential to increase existing inequalities85. Thus, building transformative capacity for climate adaptation planning and implementation must address existing inequities, unmet needs and the adaptive capacity of the urban poor86.Different social and political contexts take different approaches to addressing sustainability challenges. For example, China and Europe are leading the way regarding the adoption of circular city concepts, albeit with different drivers (i.e., governmental or ‘top-down’ in China vs. societal or ‘bottom-up’ in Europe) and implementation strategies (i.e., technological innovation vs. socio-technological and socio-ecological approaches)67. In China, the introduction of laws and financial incentives related to the CE and the resulting implementation of streamlined technological processes increased resource efficiency by 35% and reduced waste intensity by 47% between 2005-201387. European strategies have developed from increasing material efficiency, similar to those implemented in China and elsewhere87, to broader and more diverse efforts initiated at the sub-city and other levels of governance. These include urban living lab initiatives, social and industrial start-ups promoting and implementing CE approaches in various domains, including urban agri-food, textiles, plastics, recycling of building materials, water, mobility, and others, supported by civil society organizations that provide advice about the CE67. European CE efforts and related discourse thus extend beyond material flows to include the development of social, inclusive and collaborative values, green identities, sharing economies, and community gardens and spaces for creative exchange88. Such initiatives involve actors across levels, including businesses, non-governmental organizations (NGOs), state-level actors, and civil society, and, depending on the specific goals of resource flow efficiencies or community development88, are characterized by different levels of integration of SETS elements.Different approaches to the CE also reflect distinct origins, with some approaches emerging from the natural/engineering sciences and others from the social sciences. There is an ongoing convergence of CE concepts across different disciplines. Thus, much of the recent academic literature adopts holistic and transformational concepts of circularity, which include material flows, equity, justice, inclusion, and a balanced distribution of power in their definitions18. In contrast, governments and practitioners often define CE in technocratic terms. In both interpretations, the ability of the CE to achieve sustainability goals faces several fundamental challenges, such as the decoupling of economic development from consumption; rebound effects resulting from increased resource efficiency;89 and resource tradeoffs in the bioeconomy, such as the use of biofuels, which in some cases can be more environmentally damaging than fossil fuels18,90.Many urban sustainability efforts focus on local improvements in ecosystem protection, which are often achieved through the outsourcing of production and polluting industrial processes to other regions or countries, such as the case for feed crop production and heavy industry59,91, or focus on only one aspect of sustainability (e.g. GHG emissions) at the expense of others, as in the example of Apple discussed in Section 2. However, goods also flow into urban areas as indirect resources. Water is embedded in imported energy, and water and energy are embedded in imported food14,92, resulting in large ecological and water footprints15 and climate impacts. CE and WEF nexus approaches can lead to certain efficiency improvements, and recent, high-level policy developments, such as the European Green Deal and the US Green New Deal, contain elements of the CE, with implications for urban resource management. However, many practical challenges remain, including social and technological barriers and a dearth of legal and political frameworks to guide implementation of the CE19,93. Furthermore, reducing the footprints of consumption will ultimately require behavioral changes, such as shifts from meat- to plant-based diets94,95,96. These will in turn require carefully and holistically designed policy and governance interventions, such as the realignment of subsidies, price floors, trade regulations, and pricing of externalities to favor plant-based diets, as well as efforts to emphasize the link between food production and consumption97. Governance mechanisms that prioritize inclusive policy and decision-making arrangements can bridge bottom-up behavioral changes with top-down incentive structures and regulations. Broader definitions of sustainability goals that account for cross-scale and cross-sector interactions are needed to avoid externalities resulting from outsourcing and problem-shifting.Bottom-up and top-down processes in urban sustainability transformationsDifferent governance contexts will favor technocratic or social innovations, and will determine whether these are implemented through top-down control, emerge from bottom-up initiatives98, or result from a mix of the two. Urban SETS planning influences not only the efficiency of land and resource use, CO2 emissions, public health outcomes99, and the resilience of cities to climate impacts100; it also has major implications for socio-political processes, such as the emergence of local interest groups and social movements, and the equity and inclusiveness of urban development101. Both spatial planning and large-scale technology implementation in the urban context, often top-down processes, can enable or suppress transformative forces in urban settings. Throughout history, this has been demonstrated by the important function of physical urban spaces as places for congregations and the voicing of public demands, but also for the suppression and segregation of social groups101. For example, the restructuring of Paris after the French Revolution aimed to make it easier to control the urban population and quench potential uprisings101. Similarly, after the demonstrations and political upheavals during the ‘Arab Spring’, Cairo’s Tahrir square went from being the main square for public congregation to a camera- and police-patrolled, traffic-regulated space in which gatherings are prohibited. Online media platforms (new technological systems) have also had a critical role in the emergence of socio-political movements, but also the control of political opinions102,103. This has been demonstrated by the role of the Facebook and Twitter platforms in the mobilization of civil society in the Arab Spring movements and global Black-Lives-Matter protests, as well as right-wing supporters of former US president Trump. The role of space (‘ecological systems’) and technology in mediating social relations is critical for understanding the emergence of bottom-up processes, as well as the interaction between bottom-up and top-down processes, in overcoming the status quo and driving sustainability transformations.Lock-in is often related to the durability of urban infrastructure systems and the legacy effects of the built environment, including buildings, facilities, roads, and water and electricity supply networks; but it can also characterize entrenched political systems, formal and informal institutions, and social discourse104. This observation has prompted renewed attention to the question of which social dynamics can lead to transformative change, and the relationship between social tipping and ecological Earth system processes40,105. Social tipping points describe abrupt shifts in social norms or patterns of behavior40. The tendency for social conformity106 means that, under certain circumstances, localized policy interventions, messaging by formal institutions38, or bottom-up experimentation and innovations can trigger widespread changes in values or behaviors40,105,107. However, it must be recognized that social conformity can also work to undermine collective benefits, as was demonstrated in the fascist era during the first half of the twentieth century.One focus of the urban sustainability transformations literature is on identifying enabling environments for local experimentation as a potential way to overcome path-dependencies and lock-ins that rigidify the status-quo108. This ‘urban tinkering’ approach emphasizes the role of bottom-up, distributed change and the need to engage a range of social actors in the continuously unfolding process of urban SETS transformations. This perspective of the urban transformations and sustainability science literature24 has parallels with adaptive ecological systems, which are characterized by diversity, open exchange, modular organization and redundancy109—features that can increase adaptive capacity. Bottom-up initiatives generate these characteristics by building on the creativity and diverse knowledge of unique sets of local actors working together to develop context-specific approaches and solutions. These local initiatives and institutions create modular structures, which can operate separately, but work best when they are interlinked to a moderate degree to facilitate coordination and exchange110. Diversity, redundancy and modularity contribute to general resilience by enhancing buffering capacity; that is, by dampening the spread of disturbances across modules111,112.Different capacities are needed during distinct phases of an urban transformation, including, among others, the ability to dismantle drivers of unsustainable practices (‘unlocking’), and the ability to create innovations that contribute to sustainability and resilience, and to embed these innovations in governance structures, practices and discourse (‘transforming’)113. Furthermore, social learning and reflexive stakeholder action are important to ensure that transformative processes remain adaptive and aligned with evolving sustainability goals114. Social or collective learning is particularly important for managing the multidimensional contingencies of urban SETS, which require the integration of knowledge across scales and sectors, and are difficult for any single actor or entity to grasp115.Enabling conditions and capacities for local governance at the urban scale vary vastly, even under seemingly similar democratic regimes. For example, cities in India, Brazil, and South Africa, the three largest democracies in the Global South, had strikingly similar spatial and social forms in the 1980’s, marked by high levels of inequality and state-sanctioned differentiated citizenship with unequal access to formal housing and basic services116. In the 1990’s, all three countries implemented reforms aimed at decentralization, which shifted power from the central state to the municipal level, in order to promote more participatory forms of governance116. The degree of state-civil society embeddedness and different dynamics between top-down and bottom-up processes have led to significantly diverging developmental outcomes. India remains largely elite-dominated and controlled by the central state with very weak local capacity for governance and autonomy, and unequal and often poor outcomes for basic service provision, including access to housing. South Africa is characterized by strong capacities of local government, but remains technocratic, centrally controlled and fragmented by design of the apartheid regime, including only certain segments of the population in governance processes. In contrast, Brazil is characterized by strong, autonomous local capacity and broad-based, participatory governance processes. While not without challenges, and with significant heterogeneity across cities, more inclusive and empowering policies, such as new legal instruments that regularize ‘squatted’ land in informal settlements, have enabled the extension of infrastructure services and the improvement of living conditions in historically neglected neighborhoods116.Certain environments or junctures in time may create enabling conditions for the emergence of small-scale experimentation or interventions. These may, incrementally or abruptly, alter established paths and act as building blocks towards transformative change40,117,118. The existence of public spaces as meeting points, including community gardens, public parks and squares, such as the Tahrir Square prior to its closure to the public, and central Paris until its transformation after the French Revolution, may stimulate sociopolitical debate creating new narratives and ideas for change, and, through a sense of shared concern or interest, promote the emergence of community organizations and a local public sphere119,120. Resulting efforts, locally adapted, socially inclusive, decentralized initiatives can play a key role in urban sustainability transformations121.The COVID-19 pandemic has shown that rapid and large scale reorganization of daily life is possible, at least in the short-term. Many governments worldwide enforced social distancing measures, and closed their borders and ‘non-essential’ parts of their economies to mitigate the spread of the virus. These were enforced as top-down measures. While economic activities and associated carbon emissions are quickly returning to normal, such shocks can temporarily destabilize entrenched practices and narratives, potentially creating a critical juncture or ‘window of opportunity’ for institutional reform and systems change32,122. For example, COVID-19 drew heightened attention to many pre-existing social inequities and the inadequacy of existing social welfare, as well as the lack of preparedness by many urban areas to address a crisis on this scale. This, as well as compounding pressures from extreme weather events, have led to calls for improved healthcare, social safety nets, and broader sustainability transformations123,124. At the same time, the pandemic itself has also created growing inequality within countries and globally125. Unfortunately, systemic shocks can result in increased inequality, unless specific governance structures and mechanisms for reducing inequality are in place before and during such ‘windows of opportunity’85. Whether disruptions such as the pandemic become critical junctures for positive systemic transformations or instead accelerate existing unsustainable trends depends critically on proactive governance responses, and the structures that allow or prevent those responses from effecting wholistic change8,31,126 and avoiding maladaptation31,127. In contrast, transformational change can also be continuous, rather than spontaneous and disruptive, but requires a transformation of the governance system itself128. This relates back to the discussion of capacities and enabling conditions for sustainability transformations discussed above. Rather than transformed through an outside force, such as an epidemic, or through technical interventions, transformational change from within the governance system is achieved through deliberative acts that focus on changing the governance process that enables emergence, adaptation, and implementation of new paradigms, i.e., how things are done, rather than what is done128.Theories about the enabling conditions for urban transformation often depart from the on-the-ground reality of urban governance. Sectors are often managed by siloed entities, disconnected across sectors and spatial scales113; local sustainability initiatives (bottom-up) are often fragmented, lack funding, and rely on engaged individuals, which creates obstacles for lasting impacts and system-wide transformations119; and government initiatives (top-down) are typically short-term and responsive rather than long-term and mitigative, anticipatory or preparatory113. In the following section, we discuss the importance of governance structures that are able to create bridges across sectors, spatial scales, and institutional levels.Power relations and embeddedness of governance in urban SETSPower relations and embeddedness can be critical factors in determining whether bottom-up and top-down initiatives are able to transform urban SETS116,119,129. In this section, we focus on the relationship between the embeddedness of governance, power relations among actors and the sustainability of urban systems. The scholarly literature describes embeddedness as the interdependence and relations among societal actors, and links the concept of embeddedness with those of capacity and agency in governance processes116,130. Embeddedness forms the basis for coordination, conflict resolution and addressing collective action problems. The degree of embeddedness and the connectivity of actor relationships across sectors and levels of governance can be crucial for ensuring an inclusive political process in urban settings116.The relational quality of embeddedness is tightly connected to the relational concept of power130. Relational power is understood to be incorporated in social practices, embedded in social-ecological-technological relations, and productive, meaning that it “shapes, creates and transforms social relationships, practices and institutional arrangements”130,131. Recent scholarly work integrating complex adaptive systems thinking with the governance of sustainability transitions recognizes the need for a concept of power-relations that is based not only in the interactions among social agents, but also in SETS interactions130. We use the term embeddedness to refer to the relations among governance actors across levels and sectors and their relationship with ecological and technological elements in the urban system.Governance can be structured in diverse ways. Polycentric (PG) and multi-level governance (MLG) structures have received substantial attention in climate governance discourses29,37,110. Both PG and MLG are used to describe the interdependent, multi-level and multi-scalar nature of governance and the overlapping decision-making authority of relevant actors. The focus of these approaches on the interdependence between stakeholders at different levels and scales is particularly important for the conception of cities as dynamic SETS. Locally embedded, self-organizing structures are emphasized in PG. Bottom-up, modular PG systems with cross-level and cross-unit linkages can benefit sustainable and equitable resource management by increasing institutional fit, and enabling mechanisms of mutual monitoring, learning, accountability and conflict resolution, and increasing adaptive capacity37,110. Thus, PG is particularly important in the context of resilience and sustainability of urban SETS due to its focus on interactions across units of governance and on local contexts, which enables anticipation, learning and adaptation. MLG accounts for the increasingly international context of policy and administration, and emphasizes the redistribution of power and control away from the state. This redistribution occurs in three directions: (1) upwards to international actors and organizations, (2) downwards to cities, regions, and communities, and (3) outwards to civil society and non-state actors29. The process of globalization contributes to the redistribution of power, a change in the focal scale of governance from local to global, and can lead to a disconnect between policy design and implementation and the local context. Thus, the relationship between MLG and PG is especially relevant for urban governance, which must take into consideration both local and global sustainability issues.Governance of urban sustainability transformations is often associated with democratic, inclusive, multi-level, and multi-scale characteristics132. The degree of embeddedness varies across contexts. In Europe local initiatives and authorities collaborate with state, business, non-governmental, and academic actors and organizations at the local, sub-national, national, and European scale88, ensuring a certain extent of governance embeddedness at horizontal and vertical scales. In the federal system of the U.S., states are important actors in the design of environmental policies, some of which can be implemented and enforced at the local level. States with large enough markets can also shape industries and drive national standards, as in the case of California leading automobile emissions standards, as well as pioneering air pollution and plastic waste policies133,134. In India, cities have limited capacity for local self-governance in part due to a lack of cross-level embeddedness between the central state, municipalities and civil society and a highly skewed distribution of power concentrated in the central state116,135.Embedding governance vertically, from within the city up to the regional and global levels, and horizontally, across sectors, cities and regions, can help ensure that local sustainability improvements are not achieved at the cost of global sustainability15,136. Furthermore, voluntary coalitions—such as international city networks like ICLEI, C40, or the World Mayors Council on Climate Change—enable the sharing of information, the spread of innovations, and strengthen governance capacity and the potential impact of bottom-up or decentralized efforts137. City networks have existed since the early 1900s, but have proliferated in the past 30 years into a broad ecosystem of over 200 global partnerships between local authorities138,139. These range from publicly to privately initiated and from public membership networks to ones that include multiple types of stakeholders. In recent years, they have begun to play a pivotal role in defining and making progress towards global sustainability agendas, in part due to the increasing acknowledgment that decisions at the urban scale drive many global change processes140,141. Theory based on model analyses also predicts that these voluntary coalitions will be more successful in addressing climate change and other global sustainability challenges than efforts to achieve global consensus among national players142,143. These networked urban governance systems support sustainability initiatives through mutual efforts towards agreed upon goals, such as emissions reductions, but also by facilitating knowledge co-creation and dissemination through the systematic organization of learning across locales, and by offering institutional support144,145. In general, decentralized initiatives that are embedded in broader coalitions can generate a diversity of responses to sustainability challenges, allowing those that are most successful to spread to other locations41,119,146. However, disconnects between civil society initiatives and the local state or other municipalities can limit the potential for the diffusion of innovation across locations119.Shifts in power and decision-making authority from public to non-public actors147, typical of multilevel governance settings148, can both strengthen and undermine the agency of citizens and cities to influence sustainability149,150. For instance, critical infrastructure systems around the world have been transferred from public authorities to private actors. This has often compromised social inclusion, for example, by limiting access to healthcare for lower income groups in Europe and South America151,152,153. Similarly, the management of local infrastructure services, such as water supply, by transnational corporations has increased social inequities and negative ecological impacts154,155,156,157. Thus, while diverse public and private governance actors have the ability to usher in sustainable change51,158, shifting decision-making authority can also result in the concentration of power in private, political and economic elites at different scales. This can lead to policy capture and vested interests, which entrench high-carbon trajectories, instead of enabling transformations through participation and inclusion24,129. Strengthening governance embeddedness between the state, civil society and private entities can help maintain the balance of power among actors that is needed for sustainable urban development and transformations116.While governance interventions may aim to address climate risk, the sustainable management of natural resources, and social inclusion, their effectiveness depends on the vertical embeddedness of local governments with civil society and with higher level authorities at sub-national, national and international levels. For example, local actors in the Aburra Valley (Colombia) created an inter-city risk response network to address the increasing vulnerability of growing numbers of urban dwellers in areas at high risk of flooding and landslides. This horizontally and vertically embedded PG structure includes civil society, local and national government, international city networks, and international organizations and requires high levels of trust among these actors159.Governance inevitably requires attention to multiple issues and constituencies, and the prioritization of certain goals and values over others160. Inclusive, deliberative decision-making processes, such as multi-criteria decision approaches, can be used to explore synergies and tradeoffs between technological, social and ecological objectives161. A critique of such decision-making processes is that addressing climate change requires urgency and pragmatism. In addition, accounting for multiple interest groups increases the complexity of decision-making, increasing the time-, resource- and data-intensity as well as delays due to contested (political) interests that must be addressed by more transparent processes161. However, attention to power dynamics and measures that increase accountability and protect vulnerable populations are crucial. Participatory governance approaches aim to redistribute power by equitably involving diverse actors in the planning, decision-making and implementation of policies162. For such inclusive systems of governance to be successful, the incorporation of a range of judicial, popular, and political safeguards are needed to ensure lasting cooperation among actors and avoid opportunism and power imbalances163. For example, New York City’s water supply system relies on a set of institutions that ensure the balance of power among diverse actors, including local civil society, municipal, state, and federal government actors. Within this institutional framework the involved actors must continuously negotiate their various interests163.The sustainability of urban SETS requires the social actors involved, including state and non-state actors, to assume critical roles of governance164. Central to the role of the state and other actors in a regulatory or management position is the ability to manage uncertainty, maintain the rule of law and order, coordinate policies, and redistribute wealth, resources and opportunities165. To ensure that this ‘state power’ remains within certain limits, non-state actors and civil society need to monitor and check the state and elites through political and public action, which creates feedbacks between civil society and the state116,164. When this state-society embeddedness is lost, power concentrated at the national or state level can lead to hollow local states, even in democratic contexts116. This can result in (and be reinforced by) inequitable public services, including water, transport, and public health, and the degradation of natural resources and the built environment, despite significant economic growth116,166. Indian cities, such as Chennai, are typical examples, in which only half of the urban population has access to water on their premises, soil and water pollution and resource decline are accelerating, leaving taps dry and rivers contaminated167. In US cities, too, such as East Chicago (IL) and Flint (MI), out-of-balance power relations and the lack of response to feedback between SETS elements have exacerbated social inequalities168. In Flint (MI), sustained lead poisoning resulted from corroding lead water pipes after the change of the water source. One the other hand, efforts that promote sustainability locally, such as investments in public transit, bike- and pedestrian-friendly neighborhoods, and urban green space, can drive up property values and lead to gentrification through private property investment. This can, again, have major implications for low-income residents169,170,171. In such cases, state regulation (top-down) can help maintain the social cohesion of neighborhoods undergoing sustainability transformations. The urban governance cycle shown in Fig. 1b illustrates the two-way links between the equitable provision of urban services, top-down and bottom-up processes, and the power relations of the governance system.The provisioning of critical infrastructure services produces and maintains human well-being. It also conditions the ability of the state to provide legitimate order, facilitate effective economic development, and promote social inclusion165. In contrast, mistrust in the state and a rejection of state power and government can impede sustainability efforts51. In extreme cases, fragmentation of state-civil society contact can lead to the emergence of competing sovereignties, which can weaken the legitimacy of a central state172. For example, in many of the informal settlements housing the urban poor in Mexico City, a flourishing informal sector has replaced the state in providing sources of income, as well as basic infrastructure services, such as water and electricity. The state, focused on rapid macroeconomic growth rather than socio-political inclusion, tolerated the rise of the informal sector, whose leaders gained support and power by providing the services that the state failed to provide. Accelerated by increased violence and coercion emanating from the informal sector, the loss of legitimacy and erosion of the formal state has created a parallel rule by drug cartels172. Once eroded, regaining an inclusive governance system is a steep, uphill struggle. In contexts where trust, consent and reciprocity have been eroded, and ‘relational tipping points’ have been reached, governance must balance the urgency of ecological sustainability transformations with the slow process of rebuilding social relations173. These are crucial for sustainability efforts that are inclusive of marginalized populations, such as indigenous people173.In all of these examples, it is the governance context, its embeddedness with SETS interactions, and power dynamics, which provide the enabling (or disabling) environment for sustainability transformations to take place from local to global scales.SETS transformations and the urban governance cycleThe growing gap between the normative goals and responsibilities of urban governance systems described in sustainability narratives and on-the-ground practice highlights the need for a more systematic understanding of how urban governance can facilitate coordination and transformation of urban SETS. In this last section, we discuss how the literature included in this review contributes to understanding the interplay of sustainable resource management and service provision, bottom-up processes and top-down interventions, and power relations among actors in the transformation pathways of urban SETS.Sustainable provision of urban services. The way in which social actors employ technologies to interact with ecosystems and to extract and allocate resources are the basis for the provision of basic services, including water, energy, food, health, transportation, etc. As discussed in section 3, much of the empirical literature on the sustainable provision of services and resource management in linear, circular and nexus approaches is focused on achieving either environmental or social goals. Combining these goals requires addressing the pressures and stressors on natural ecosystems, including climate change and the degradation of global ecosystems, as well as the need for adequate access and just distribution of resources and services. Sustainable service provision is therefore not merely a question of circular material flows and the protection of ecological systems, but must also address social equity issues and cross-scale impacts on social, ecological, and technological system dynamics174. The multiple, entangled resource inflows and outflows of the urban metabolism, as well as various stakeholder interests, make defining and achieving sustainability goals a political challenge for SETS governance.Bottom-up and top-down processes. Identifying promising paths for sustainability transformations requires processes of experimentation in the social, ecological and technological spheres. Bottom-up processes are particularly relevant in this context as they generate diverse and locally adapted responses. Embedded governance allows successful experimentation to be transmitted through social learning dynamics. As such, these bottom-up initiatives and voluntary coalitions can be crucial for overcoming lock-in and breaking path-dependencies. Local initiatives can engender widespread behavioral shifts and norm dynamics, which can in turn spread along horizontally interlinked city networks. Furthermore, as modular building blocks of polycentric governance structures, local, bottom-up initiatives that are interlinked across scales also provide system-wide redundancies and buffering capacities that are crucial during periods of change, including the recovery from shocks and transformation processes.Governmental and other forms of top-down support are crucial for ensuring that adequate spaces for social exchange are maintained, and for promoting and upscaling promising local innovations that may help the transition to sustainability. Governments must also develop and uphold regulations to constrain power imbalances among actors and ensure the separation of legislative, judicial and executive powers. The built environment and (digital) technologies interact with these social processes, both through bottom-up movements and through top-down control. Widespread sustainability transformations can be triggered from the bottom-up if they are embedded in a SETS governance context and supported by structures that are built through bottom-up, top-down and multilevel interactions.Power Relations among actors. Urban SETS are complex, cross-boundary, multi-scale systems, whose governance is best described as multilevel. The diverse ecology of actors in multilevel governance creates power dynamics that can easily become unbalanced if they are not safeguarded and protected in an anticipatory manner. The authority of cities in determining how to best adapt or transform in response to the diverse pressures resulting from internal change and external shocks depends on the distribution of power and the degree of embeddedness into several levels of vertical governance, including international, national, and sub-national levels. Within cities, vertical embeddedness and power relations describe the inclusivity of decision-making processes, which affects the degree of trust, consent, and the wellbeing of residents. How SETS interactions, service provision, and social processes evolve thus depends on the embeddedness of governance across the SETS elements and from local to global levels. More

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    Outdoor malaria vector species profile in dryland ecosystems of Kenya

    Study sites, sample collection and preparationAdult female mosquitoes used in this study had previously been collected from three areas: Kerio Valley (Baringo county), Rabai (Kilifi county) and Nguruman (Kajiado county) (Fig. 1), as part of vector-borne disease surveillance project and stored at – 80 °C at the International Centre of Insect Physiology and Ecology (icipe). The mosquitoes were surveyed between August 2019 and May 2020. Nguruman is an agropastoral area located in Kajiado county at the southern end of the Kenyan Rift Valley bordering Tanzania. The area has a semi-arid climate characterized by erratic rains, extreme temperatures, and cyclic and prolonged droughts30. The vegetation is dominated by bushland, grassland and open woodlands along seasonal river valleys. Specific indicator data for malaria is not available for Nguruman except for estimates pertaining to the larger Kajiado county which as of 2019 indicates a malaria incidence rate of 5 per 1000 population31. Collections in Kerio Valley (Baringo county within the Rift Valley) were conducted in Kapluk and Barwesa, both agro-pastoral areas with arid and semi-arid ecology. Malaria is a major vector-borne disease in the areas with report of perennially occurrence in neighboring riverine areas32. Rabai is one of the seven administrative sub-counties of Kilifi county in the coastal region of Kenya where malaria is endemic. The main economic activities in the area include subsistence agriculture, casual labor, crafts and petty trading. The weather patterns at the sites during the sampling period were as follows: Kerio Valley (mean daily temperature: 21.2 °C, mean daily rainfall: 4.1 mm, mean relative humidity: 73.4%); Rabai (mean daily temperature: 26.4 °C, mean daily rainfall: 2.1 mm; mean relative humidity: 78.1%) and Nguruman (mean daily temperature: 22.5 °C, mean daily rainfall: 0.9 mm, mean relative humidity: 61.2%).Mosquito survey and processingHost seeking mosquitoes were trapped using CDC light traps baited with dry ice (carbon dioxide) attractive to several mosquitoes. Traps were set outdoors about 10–15 m away from randomly selected homesteads from 18:00 h to 06:00 h. After collection, the mosquitoes were anesthetized with trimethylamine and temporarily stored in liquid nitrogen before transportation to the Emerging Infectious Disease (EID) laboratory at icipe and later stored at − 80 °C. Anopheline mosquitoes were morphologically identified to species level using published taxonomic keys15,33.DNA extraction and Anopheles species discriminationDNA was extracted from the head/thorax of individual mosquitoes using ISOLATE II Genomic DNA Extraction kit (Bioline, UK) following the manufacturer’s instructions and used for species discrimination and screening for P. falciparum infection and Gste2 mutations (described below).Cryptic sibling species of the Anopheles funestus and Anopheles gambiae complexes were identified using conventional PCR34,35 and/or sequencing. PCR for An. funestus complex in a 15 µl reaction volume comprised 0.5 µM of each primer targeting: Anopheles funestus s.s, Anopheles vaneedeni, Anopheles rivulorum, Anopheles parensis, Anopheles leesoni, Anopheles longipalpis A and Anopheles longipalpis C, 3 µl of 5X HOT FIREPol Blend Master Mix Ready to Load (Solis BioDyne, Estonia) and 2 µl of DNA template. The cycling conditions were initial denaturation at 95 °C for 15 min, and then 30 cycles of denaturation at 95 °C for 30 s, annealing at 46 °C for 30 s and extension at 72 °C for 40 s and final extension at 72 °C for 10 min. Size fragments of each species were scored after separation in 1.5% agarose gel electrophoresis stained with ethidium bromide against a 1 Kb DNA ladder (HyperLadder, Bioline, London, UK).For An. gambiae s.l., PCR in a 10 µl volume consisted of 2 µl of 5X Evagreen HRM Master Mix (Solis BioDyne, Estonia), 1 µl of DNA template and 10 µM concentration of each primer targeting An. gambiae s.s and An. arabiensis. The thermal cycling conditions included initial denaturation for 15 min at 95 °C followed by 40 cycles of denaturation at 95 °C for 20 s, annealing at 61 °C for 15 s and extension at 72 °C for 20 s followed by final extension at 72 °C for 7 min.A subset of An. funestus s.l. samples that failed to amplify using the established protocol, was further amplified and sequenced targeting the internal transcribed spacer 2 (ITS2) region of the ribosomal DNA (rDNA)36. This target has shown utility in discriminating closely related mosquito species including anophelines12 and sequences from diverse species for this marker are well represented in reference databases (e.g. GenBank). PCR volumes for rDNA ITS2 were 15 µl containing 0.5 µM of the forward and reverse primers, 3 µl of 5X HOT FIREPol Blend Master Mix Ready to Load (Solis BioDyne, Estonia) and 2 µl of DNA template. The cycling conditions were initial denaturation at 95 °C for 15 min, followed by 40 cycles of denaturation at 95 °C for 30 s, annealing at 60 °C for 30 s and extension at 72 °C for 45 s and final extension at 72 °C for 7 min. ExoSAP IT rapid cleanup kit (Affymetrix Inc., Santa Clara, CA, USA) was used to clean the PCR product as per the manufacturer’s guideline, and then outsourced for bidirectional Sanger sequencing to Macrogen, South Korea.Detection of malaria parasitesPlasmodium falciparum sporozoites in individual mosquitoes (head/thorax) were detected by analyzing high resolution melting (HRM) profiles generated from real time PCR products of non-coding mitochondrial sequence (ncMS)37. A P. falciparum DNA from National Institute for Biological Standards and Control (NIBSC; London, UK) was used as a reference positive control. PCR was carried out in a 10 µl volume consisting of 2 µl of 5X Evagreen HRM Master Mix (Solis BioDyne, Estonia), 1 µl of DNA template and 10 µM of each primer. PCR cycling conditions were initial denaturation for 15 min at 95 °C followed by 40 cycles of denaturation at 95 °C for 20 s, annealing at 61 °C for 15 s and extension at 72 °C for 20 s followed by final extension at 72 °C for 7 min. A fraction of RT-PCR-HRM positive samples were further analyzed using conventional PCR in a 10 µl volume consisting of 2 µl of 5X HOT FIREPol Blend Master Mix Ready to Load (Solis BioDyne, Estonia), 1 µl of DNA template and 10 µM of each primer. The cycling conditions comprised initial denaturation for 15 min at 95 °C followed by 40 cycles of denaturation at 95 °C for 20 s, annealing at 61 °C for 15 s and extension at 72 °C for 20 s followed by final extension at 72 °C for 7 min. PCR product of samples positive by RT-PCR were purified using ExoSAP- IT (USB Corporation, Cleveland, OH, USA) and outsourced for sequencing to Macrogen, South Korea. All sporozoite-positive mosquitoes were molecularly identified to species by PCR of the ITS2 region as described above.Genotyping for L119F-GSTe2 mutation and sequencingTwo outer and two inner primers in a PCR assay were used to genotype the L119F-GSTe2 mutations that confer resistance of An. funestus mosquitoes to pyrethroids/DDT19 as described previously28. Thus, only An. funestus s.l. was screened using this assay. Briefly, PCR in a 15 µl reaction volume consisted of 10 µM of each primer, 3 µl of 5X HOT FIREPol Blend Master Mix Ready to Load (Solis BioDyne, Estonia), and 2 µl of DNA template. The cycling conditions were initial denaturation at 95 °C for 15 min, followed by 40 cycles of denaturation at 95 °C for 30 s, annealing at 59 °C for 30 s and extension at 72 °C for 40 s and final extension at 72 °C for 7 min. Amplicons were resolved in a 1.5% agarose gel stained with ethidium bromide (Sigma-Aldrich, GmbH, Germany) against a 1 Kb DNA ladder (HyperLadder, Bioline, London, UK). The amplicons were scored as either homozygous susceptible (SS) at 312 bp, homozygous resistant (RR) at 523 bp or heterozygous (RS) when both bands were visualized.Representative GSTe2 allele positive samples were sequenced for the GSTe2 gene using the Gste2F and Gste2R primers as described previously38. PCR comprised a reaction volume of 15 µl in MyTaq DNA Polymerase Kit (Bioline, London, UK) containing 10 µM of each primer, 5X My Taq reaction buffer, 2 µl of My taq DNA polymerase and 1 µl of DNA template. PCR conditions were: initial denaturation of 5 min at 95 °C, followed by 30 cycles of 94 °C for 30 s, 58 °C for 30 s and 72 °C for 1 min, with a final extension at 72 °C for 10 min. Cleaning and sequencing of amplicons were performed as described above.Sequence and polymorphism analysisSequences (mosquito, P. falciparum, GSTe2) were viewed and cleaned in Geneious Prime39 and queried in GenBank using Basic Local Alignment Search Tool (BLastn). Parasite sequences were assigned as P. falciparum after  > 98% percentage identity. MAFFT in Geneious Prime39 was used to perform multiple sequence alignments with default parameters. Maximum likelihood (ML) trees were inferred for mosquito ITS2 sequences using the best fit model of sequence evolution with nodal support for different groupings evaluated through 1000 bootstrap replications. GSTe2 gene polymorphism analysis was performed in Geneious Prime and ML tree reconstructed from MAFFT alignment using PhyML v. 2.2.4. Haplotype distribution network was constructed using Templeton-Crandall Sing (TCS) program v. 1.2140.Statistical analysisRelative abundance was used to estimate the outdoor composition of the anopheline mosquitoes. Daily counts of female mosquito/trap/night for An. funestus s.l. and An. gambiae s.l. were compared for each area using generalized linear models (GLM) with negative binomial error structure based on best-fit model residuals. The mean catches/trap/night was computed for each of the species complexes. The P. falciparum sporozoite infection rates (Pfsp) were expressed as the number of positive specimens of the total number of specimens examined. The distribution of L119F-GSTe2 mutations was assessed by determining allelic frequencies in different species. Infection status among the resistant mosquitoes was compared using the Fisher’s Exact Test. Data were analyzed using R v 4.1.0 software at 95% confidence limit.Ethical considerationsEthical review and approval of the study was granted by the Scientific and Ethical Review Unit (SERU) of the Kenya Medical Research Institute (KEMRI) (Protocol No. SSC 2787). Prior to data collection, the purpose of the study, procedures and associated benefits/risks were provided to the local leadership at county and community levels. Additionally, informed verbal consent to trap mosquitoes around homesteads was obtained from household heads. More