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    No evidence for long-range male sex pheromones in two malaria mosquitoes

    Alexander, R. D., Marshall, D. C. & Cooley, J. R. in The Evolution of Mating Systems in Insects and Arachnids (eds. Choe, J. C. & Crespi, B. J.) 4–31 (Cambridge Univ. Press, 1997).Clements, A. N. The Biology of Mosquitoes. Volume 2: Sensory, Reception and Behaviour (CABI Publishing, 1999).Downes, J. A. The swarming and mating flight of Diptera. Annu. Rev. Entomol. 14, 271–298 (1969).Article 

    Google Scholar 
    Gibson, N. H. E. On the mating swarms of certain Chironomidae (Diptera). Trans. R. Entomol. Soc. Lond. 95, 263–294 (1945).Article 

    Google Scholar 
    Sivinski, J. M. & Petersson, E. in The Evolution of Mating Systems in Insects and Arachnids (eds. Choe, J. A. & Crespi, J. B.) 294–309 (Cambridge Univ. Press, 1997).Shelly, T. E. & Whittier, T. S. in The Evolution of Mating Systems in Insects and Arachnids (eds. Choe, J. A. & Crespi, J. B.) 273–293 (Cambridge Univ. Press, 1997).Savolainen, E. Swarming in Ephemeroptera: the mechanism of swarming and the effects of illumination and weather. Ann. Zool. Fennici 15, 17–52 (1978).
    Google Scholar 
    Howell, P. I. & Knols, B. G. J. J. Male mating biology. Malar. J. 8, S8 (2009).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Charlwood, J. D. & Jones, M. D. R. Mating in the mosquito, Anopheles gambiae s.l. II. Swarming behaviour. Physiol. Entomol. 5, 315–320 (1980).Article 

    Google Scholar 
    Marchand, R. P. Field observations on swarming and mating in Anopheles gambiae mosquitoes in Tanzania. Neth. J. Zool. 34, 367–387 (1984).Article 

    Google Scholar 
    Charlwood, J. D. et al. The swarming and mating behaviour of Anopheles gambiae s.s. (Diptera: Culicidae) from São Tomé Island. J. Vector Ecol. 27, 178–183 (2002).CAS 
    PubMed 

    Google Scholar 
    Diabaté, A. et al. Natural swarming behaviour of the molecular M form of Anopheles gambiae. Trans. R. Soc. Trop. Med. Hyg. 97, 713–716 (2003).Article 
    PubMed 

    Google Scholar 
    Diabaté, A. et al. Spatial swarm segregation and reproductive isolation between the molecular forms of Anopheles gambiae. Proc. R. Soc. B Biol. Sci. 276, 4215–4222 (2009).Article 

    Google Scholar 
    Sawadogo, P. S. et al. Swarming behaviour in natural populations of Anopheles gambiae and An. coluzzii: review of 4 years survey in rural areas of sympatry, Burkina Faso (West Africa). Acta Trop. 130, 24–34 (2014).Article 

    Google Scholar 
    della Torre, A. et al. Molecular evidence of incipient speciation within Anopheles gambiae s.s. in West Africa. Insect Mol. Biol. 10, 9–18 (2001).Article 
    PubMed 

    Google Scholar 
    della Torre, A., Tu, Z. & Petrarca, V. On the distribution and genetic differentiation of Anopheles gambiae s.s. molecular forms. Insect Biochem. Mol. Biol. 35, 755–769 (2005).Article 
    CAS 
    PubMed 

    Google Scholar 
    Tripet, F. et al. DNA analysis of transferred sperm reveals significant levels of gene flow between molecular forms of Anopheles gambiae. Mol. Ecol. 10, 1725–1732 (2001).CAS 
    Article 
    PubMed 

    Google Scholar 
    Diabaté, A. et al. Mixed swarms of the molecular M and S forms of Anopheles gambiae (Diptera: Culicidae) in sympatric area from Burkina Faso. J. Med. Entomol. 43, 480–483 (2006).Article 
    PubMed 

    Google Scholar 
    Costantini, C. et al. Living at the edge: biogeographic patterns of habitat segregation conform to speciation by niche expansion in Anopheles gambiae. BMC Ecol. 9, 16 (2009).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Sawadogo, P. S. et al. Differences in timing of mating swarms in sympatric populations of Anopheles coluzzii and Anopheles gambiae s.s. (formerly An. gambiae M and S molecular forms) in Burkina Faso, West Africa. Parasit. Vectors 6, 275 (2013).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Persiani, A., Dideco, M. A. & Petrangeli, G. Osservzioni di laboratorio su polimorfismi da inversione originati da incroci tra popolazioni diverse di Anopheles gambiae s.s. Ann. Dell’Istituto Super. Di Sanita 22, 221–224 (1986).CAS 

    Google Scholar 
    Diabaté, A. et al. Larval development of the molecular forms of Anopheles gambiae (Diptera: Culicidae) in different habitats: a transplantation experiment. J. Med. Entomol. 42, 548–553 (2005).Article 
    PubMed 

    Google Scholar 
    Diabaté, A., Dabiré, K. R., Millogo, N. & Lehmann, T. Evaluating the effect of postmating isolation between molecular forms of Anopheles gambiae (Diptera: Culicidae). J. Med. Entomol. 44, 60–64 (2007).Article 
    PubMed 

    Google Scholar 
    Hahn, M. W., White, B. J., Muir, C. D. & Besansky, N. J. No evidence for biased co-transmission of speciation Islands in Anopheles gambiae. Philos. Trans. R. Soc. B Biol. Sci. 367, 374–384 (2012).Article 

    Google Scholar 
    Pombi, M. et al. Dissecting functional components of reproductive isolation among closely related sympatric species of the Anopheles gambiae complex. Evol. Appl. 00, 1–19 (2017).
    Google Scholar 
    Lehmann, T. & Diabaté, A. The molecular forms of Anopheles gambiae: a phenotypic perspective. Infect. Genet. Evol. 8, 737–746 (2008).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Clements, A. N. The Biology of Mosquitoes: Development, Nutrition and Reproduction (Chapman & Hall, 1992).Gibson, G., Warren, B. & Russell, I. J. Humming in tune: sex and species recognition by mosquitoes on the wing. J. Assoc. Res. Otolaryngol. 11, 527–540 (2010).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Pennetier, C., Warren, B., Dabiré, K. R., Russell, I. J. & Gibson, G. ‘Singing on the wing’ as a mechanism for species recognition in the malarial mosquito Anopheles gambiae. Curr. Biol. 20, 131–136 (2010).CAS 
    Article 
    PubMed 

    Google Scholar 
    Feugère, L., Gibson, G., Manoukis, N. C. & Roux, O. Mosquito sound communication: are male swarms loud enough to attract females? J. R. Soc. Interface 18, 20210121 (2021).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Poda, S. B. et al. Sex aggregation and species segregation cues in swarming mosquitoes: role of ground visual markers. Parasit. Vectors 12, 589 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wang, G. et al. Clock genes and environmental cues coordinate Anopheles pheromone synthesis, swarming, and mating. Science 371, 411–415 (2021).CAS 
    Article 
    PubMed 

    Google Scholar 
    Dao, A. et al. Assessment of alternative mating strategies in Anopheles gambiae: does mating occur indoors? J. Med. Entomol. 45, 643–652 (2008).PubMed 

    Google Scholar 
    Gomulski, L. Aspects of Mosquito Mating Behaviour. PhD thesis, Univ. London (1988).Kelly, D. W. & Dye, C. Pheromones, kairomones and the aggregation dynamics of the sandfly Lutzomyia longipalpis. Anim. Behav. 53, 721–731 (1997).Article 

    Google Scholar 
    Bray, D. P., Alves, G. B., Dorval, M. E., Brazil, R. P. & Hamilton, J. G. C. Synthetic sex pheromone attracts the leishmaniasis vector Lutzomyia longipalpis to experimental chicken sheds treated with insecticide. Parasit. Vectors 3, 16 (2010).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Diabaté, A. et al. Spatial distribution and male mating success of Anopheles gambiae swarms. BMC Evol. Biol. 11, 184 (2011).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Levi-Zada, A. et al. Diel periodicity of pheromone release by females of Planococcus citri and Planococcus ficus and the temporal flight activity of their conspecific males. Naturwissenschaften 101, 671–678 (2014).CAS 
    Article 
    PubMed 

    Google Scholar 
    Bjostad, L. B., Gaston, L. K. & Shorey, H. H. Temporal pattern of sex pheromone release by female Trichoplusia ni. J. Insect Physiol. 26, 493–498 (1980).Article 

    Google Scholar 
    Merlin, C. et al. An antennal circadian clock and circadian rhythms in peripheral pheromone reception in the moth Spodoptera littoralis. J. Biol. Rhythms 22, 502–514 (2007).CAS 
    Article 
    PubMed 

    Google Scholar 
    Rund, S. S. C. et al. Daily rhythms in antennal protein and olfactory sensitivity in the malaria mosquito Anopheles gambiae. Sci. Rep. 3, 2494 (2013).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Robledo, N. & Arzuffi, R. Influence of host fruit and conspecifics on the release of the sex pheromone by Toxotrypana curvicauda males (Diptera: Tephritidae). Environ. Entomol. 41, 387–391 (2012).CAS 
    Article 
    PubMed 

    Google Scholar 
    Andersson, J. et al. Male sex pheromone release and female mate choice in a butterfly. J. Exp. Biol. 210, 964–970 (2007).CAS 
    Article 
    PubMed 

    Google Scholar 
    Mozūraitis, R. et al. Male swarming aggregation pheromones increase female attraction and mating success among multiple African malaria vector mosquito species. Nat. Ecol. Evol. 4, 1395–1401 (2020).Article 
    PubMed 

    Google Scholar 
    Poda, S. B. et al. No evidence for long-range male sex pheromones in two malaria mosquitoes. Preprint at bioRxiv https://doi.org/10.1101/2020.07.05.187542 (2021).Verhulst, N. O. et al. Differential attraction of malaria mosquitoes to volatile blends produced by human skin bacteria. PLoS ONE 5, e15829 (2010).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Pandey, S. K. & Kim, K. Human body-odor components and their determination. Trends Anal. Chem. 30, 784–796 (2011).CAS 
    Article 

    Google Scholar 
    Dormont, L., Bessiere, J. M., McKey, D. & Cohuet, A. New methods for field collection of human skin volatiles and perspectives for their application in the chemical ecology of human-pathogen-vector interactions. J. Exp. Biol. 216, 2783–2788 (2013).CAS 
    PubMed 

    Google Scholar 
    Dormont, L., Bessière, J. M. & Cohuet, A. Human skin volatiles: a review. J. Chem. Ecol. 39, 569–578 (2013).CAS 
    Article 
    PubMed 

    Google Scholar 
    Tchouassi, D. P. et al. Common host-derived chemicals increase catches of disease-transmitting mosquitoes and can improve early warning systems for rift valley fever virus. PLoS Negl. Trop. Dis. 7, e2007 (2013).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    McBride, C. S. et al. Evolution of mosquito preference for humans linked to an odorant receptor. Nature 515, 222–227 (2014).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Poli, D. et al. Determination of aldehydes in exhaled breath of patients with lung cancer by means of on-fiber-derivatisation SPME-GC/MS. J. Chromatogr. B. 878, 2643–2651 (2010).CAS 
    Article 

    Google Scholar 
    Filipiak, W. et al. Comparative analyses of volatile organic compounds (VOCs) from patients, tumors and transformed cell lines for the validation of lung cancer-derived breath markers. J. Breath. Res. 8, 027111 (2014).CAS 
    Article 
    PubMed 

    Google Scholar 
    Calenic, B. & Amann, A. Detection of volatile malodorous compounds in breath: current analytical techniques and implications in human disease. Bioanalysis 6, 357–376 (2014).CAS 
    Article 
    PubMed 

    Google Scholar 
    Cainap, C., Pop, L. A., Balacescu, O. & Cainap, S. S. Early diagnosis and screening in lung cancer. Am. J. Cancer Res. 10, 1993–2009 (2020).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Dekel, A., Yakir, E. & Bohbot, J. D. The sulcatone receptor of the strict nectar-feeding mosquito Toxorhynchites amboinensis. Insect Biochem. Mol. Biol. 111, 103174 (2019).CAS 
    Article 
    PubMed 

    Google Scholar 
    Nyasembe, V. O. et al. Development and assessment of plant-based synthetic odor baits for surveillance and control of malaria vectors. PLoS Negl. Trop. Dis. 9, e89818 (2014).
    Google Scholar 
    Wondwosen, B. et al. Sweet attraction: sugarcane pollen-associated volatiles attract gravid Anopheles arabiensis. Malar. J. 17, 90 (2018).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wondwosen, B. et al. Rice volatiles lure gravid malaria mosquitoes, Anopheles arabiensis. Sci. Rep. 6, 37930 (2016).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Suh, E., Choe, D., Saveer, A. M. & Zwiebel, L. J. Suboptimal larval habitats modulate oviposition of the malaria vector mosquito Anopheles coluzzii. PLoS ONE 11, e0149800 (2016).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Kostiainen, R. Volatile organic compounds in the indoor air of normal and sick houses. Atmos. Environ. 29, 693–702 (1995).CAS 
    Article 

    Google Scholar 
    Kruza, M., Lewis, A. C., Morrison, C. G. & Carslaw, N. Impact of surface ozone interactions on indoor air chemistry: a modeling study. Indoor Air 27, 1001–1011 (2017).CAS 
    Article 
    PubMed 

    Google Scholar 
    Tripet, F., Dolo, G., Traoré, S. & Lanzaro, G. C. The ‘wingbeat hypothesis’ of reproductive isolation between members of the Anopheles gambiae complex (Diptera: Culicidae) does not fly. J. Med. Entomol. 41, 375–384 (2004).Article 
    PubMed 

    Google Scholar 
    Facchinelli, L. et al. Stimulating Anopheles gambiae swarms in the laboratory: application for behavioural and fitness studies. Malar. J. 14, 271 (2015).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Niang, A. et al. Semi-field and indoor setups to study malaria mosquito swarming behavior. Parasit. Vectors 12, 446 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gibson, G. Swarming behaviour of the mosquito Culex pipiens quinquefasciatus: a quantitative analysis. Physiol. Entomol. 10, 283–296 (1985).Article 

    Google Scholar 
    Bimbilé Somda, N. S. et al. Ecology of reproduction of Anopheles arabiensis in an urban area of Bobo-Dioulasso, Burkina Faso (West Africa): monthly swarming and mating frequency and their relation to environmental factors. PLoS ONE 13, e0205966 (2018).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Maïga, H., Dabiré, R. K., Lehmann, T., Tripet, F. & Diabaté, A. Variation in energy reserves and role of body size in the mating system of Anopheles gambiae. J. Vector Ecol. 37, 289–297 (2012).Article 
    PubMed 

    Google Scholar 
    Maïga, H. et al. Role of nutritional reserves and body size in Anopheles gambiae males mating success. Acta Trop. 132S, S102–S107 (2014).Article 

    Google Scholar 
    Schiestl, F. P. The evolution of floral scent and insect chemical communication. Ecol. Lett. 13, 643–656 (2010).Article 
    PubMed 

    Google Scholar 
    Goodrich, K. R., Zjhra, M. L., Ley, C. A. & Raguso, R. A. When flowers smell fermented: the chemistry and ontogeny of yeasty floral scent in Pawpaw (Asimina triloba: Annonaceae). Int. J. Plant Sci. 167, 33–46 (2006).CAS 
    Article 

    Google Scholar 
    Iatrou, K. & Biessmann, H. Sex-biased expression of odorant receptors in antennae and palps of the African malaria vector Anopheles gambiae. Insect Biochem. Mol. Biol. 38, 268–274 (2008).CAS 
    Article 
    PubMed 

    Google Scholar 
    Pitts, R. J., Rinker, D. C., Jones, P. L., Rokas, A. & Zwiebel, L. J. Transcriptome profiling of chemosensory appendages in the malaria vector Anopheles gambiae reveals tissue- and sex-specific signatures of odor coding. BMC Genomics 12, 271 (2011).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Lu, T. et al. Odor coding in the maxillary palp of the malaria vector mosquito Anopheles gambiae. Curr. Biol. 17, 1533–1544 (2007).CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Guidobaldi, F., May-Concha, I. J. & Guerenstein, P. G. Morphology and physiology of the olfactory system of blood-feeding insects. J. Physiol. Paris 108, 96–111 (2014).CAS 
    Article 
    PubMed 

    Google Scholar 
    Mosqueira, B. et al. Pilot study on the combination of an organophosphate-based insecticide paint and pyrethroid-treated long lasting nets against pyrethroid resistant malaria vectors in Burkina Faso. Acta Trop. 148, 162–169 (2015).CAS 
    Article 
    PubMed 

    Google Scholar 
    Poda, S. B. et al. Targeted application of an organophosphate-based paint applied on windows and doors against Anopheles coluzzii resistant to pyrethroids under real life conditions in Vallée du Kou, Burkina Faso (West Africa). Malar. J. 17, 136 (2018).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Diabaté, A. et al. The spread of the Leu-Phe kdr mutation through Anopheles gambiae complex in Burkina Faso: genetic introgression and de novo phenomena. Trop. Med. Int. Heal. 9, 1267–1273 (2004).Article 

    Google Scholar 
    Santolamazza, F. et al. Insertion polymorphisms of SINE200 retrotransposons within speciation islands of Anopheles gambiae molecular forms. Malar. J. 7, 163 (2008).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Lefèvre, T. et al. Evolutionary lability of odour-mediated host preference by the malaria vector Anopheles gambiae. Trop. Med. Int. Heal. 14, 228–236 (2009).Article 

    Google Scholar 
    Lefèvre, T. et al. Beer consumption increases human attractiveness to malaria mosquitoes. PLoS ONE 5, e9546 (2010).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Vantaux, A. et al. Host-seeking behaviors of mosquitoes experimentally infected with sympatric field isolates of the human malaria parasite Plasmodium falciparum: no evidence for host manipulation. Front. Ecol. Evol. 3, 86 (2015).Article 

    Google Scholar 
    Nguyen, P. L. et al. No evidence for manipulation of Anopheles gambiae, An. coluzzii and An. arabiensis host preference by Plasmodium falciparum. Sci. Rep. 7, 9415 (2017).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Tienpont, B., David, F., Bicchi, C. & Sandra, P. High capacity headspace sorptive extraction. J. Microcolumn Sep. 12, 577–584 (2000).CAS 
    Article 

    Google Scholar 
    Bicchi, C., Cordero, C., Iori, C., Rubiolo, P. & Sandra, P. Headspace Sorptive Extraction (HSSE) in the headspace analysis of aromatic and medicinal plants. J. High. Resolut. Chromatogr. 23, 539–546 (2000).CAS 
    Article 

    Google Scholar 
    Souto-Vilarós, D. et al. Pollination along an elevational gradient mediated both by floral scent and pollinator compatibility in the fig and fig-wasp mutualism. J. Ecol. 106, 2256–2273 (2018).Article 

    Google Scholar 
    Zellner, Bd’Acampora et al. Linear retention indices in gas chromatographic analysis: a review. Flavour Fragr. J. 23, 297–314 (2008).Article 
    CAS 

    Google Scholar 
    Charpentier, M. J. E., Barthes, N., Proffit, M., Bessière, J. M. & Grison, C. Critical thinking in the chemical ecology of mammalian communication: roadmap for future studies. Funct. Ecol. 26, 769–774 (2012).Article 

    Google Scholar  More

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    No evidence that mandatory open data policies increase error correction

    Hardwicke, T. E. et al. Analytic reproducibility in articles receiving open data badges at the journal Psychological Science: an observational study. R. Soc. Open Sci. 8, 201494 (2021).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Enserink, M. Sea of doubts. Science 372, 560–565 (2021).CAS 
    PubMed 
    Article 

    Google Scholar 
    Buxton, R. T. et al. Avoiding wasted research resources in conservation science. Conserv. Sci. Pract. 3, 1–11 (2021).
    Google Scholar 
    Tai, T. C. & Robinson, J. P. W. Enhancing climate change research with open science. Front. Environ. Sci. 6, 1–5 (2018).Article 

    Google Scholar 
    Popkin, G. Data sharing and how it can benefit your scientific career. Nature 569, 445–447 (2019).CAS 
    PubMed 
    Article 

    Google Scholar 
    Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3, 160018 (2016).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Roche, D. G. et al. Slow improvement to the archiving quality of open datasets shared by researchers in ecology and evolution. Proc. R. Soc. B Biol. Sci. 289, 20212780 (2022).Article 

    Google Scholar 
    Tedersoo, L., Küngas, R., Oras, E., Köster, K. & Helen, E. Data sharing practices and data availability upon request differ across scientific disciplines. Sci. Data 8, 1–11 (2021).Article 

    Google Scholar 
    Christian, T. M., Gooch, A., Vision, T. & Hull, E. Journal data policies: exploring how the understanding of editors and authors corresponds to the policies themselves. PLoS ONE 15, 1–15 (2020).
    Google Scholar 
    Sholler, D., Ram, K., Boettiger, C. & Katz, D. S. Enforcing public data archiving policies in academic publishing: a study of ecology journals. Big Data Soc. 6, 1–18 (2019).Article 

    Google Scholar 
    Postma, E., Gonzalez‐Voyer, A. & Holman, L. A comment on The adaptive value of gluttony: predators mediate the life history trade‐offs of satiation threshold by Pruitt & Krauel (2010). J. Evol. Biol. 34, 1989–1993 (2021).PubMed 
    Article 

    Google Scholar 
    Stodden, V., Seiler, J. & Ma, Z. An empirical analysis of journal policy effectiveness for computational reproducibility. Proc. Natl Acad. Sci. USA 115, 2584–2589 (2018).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Rohrer, J. M. et al. Putting the self in self-correction: findings from the Loss-of-Confidence Project. Perspect. Psychol. Sci. 16, 1255–1269 (2021).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Vazire, S. A toast to the error detectors. Nature 577, 9 (2020).CAS 
    PubMed 
    Article 

    Google Scholar 
    Culina, A., van den Berg, I., Evans, S. & Sánchez-Tójar, A. Low availability of code in ecology: a call for urgent action. PLoS Biol. 18, e3000763 (2020).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Roche, D. G. et al. Paths towards greater consensus building in experimental biology. J. Exp. Biol. 225, jeb243559 (2022).PubMed 
    Article 

    Google Scholar 
    Laurinavichyute, A., Yadav, H. & Vasishth, S. Share the code, not just the data: a case study of the reproducibility of articles published in the Journal of Memory and Language under the open data policy. J. Mem. Lang. 125, 104332 (2022).Article 

    Google Scholar 
    Roche, D. G., Kruuk, L. E. B., Lanfear, R. & Binning, S. A. Public data archiving in ecology and evolution: how well are we doing? PLoS Biol. 13, e1002295 (2015).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Besançon, L., Bik, E., Heathers, J. & Meyerowitz-Katz, G. Correction of scientific literature: too little, too late! PLoS Biol. 20, e3001572 (2022).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Holmes, N. P. I critiqued my past papers on social media—here’s what I learnt. Nature 595, 333 (2021).CAS 
    PubMed 
    Article 

    Google Scholar 
    Teixeira da Silva, J. A. & Al-Khatib, A. Ending the retraction stigma: encouraging the reporting of errors in the biomedical record. Res. Ethics 17, 251–259 (2021).Article 

    Google Scholar 
    Minocher, R., Atmaca, S., Bavero, C., McElreath, R. & Beheim, B. Estimating the reproducibility of social learning research published between 1955 and 2018. R. Soc. Open Sci. 8, 210450 (2021).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Montgomerie, R. From the Editor’s desk of The American Naturalist: data transparency 2020. The American Naturalist http://comments.amnat.org/2021/01/note-since-fall-2020-robert-montgomerie.html (2021).R Project. R version 4.0.3 https://cran.r-project.org/bin/windows/base/old/4.0.3/ (2020). More

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    Gut bacteria induce oviposition preference through ovipositor recognition in fruit fly

    Insect rearingThe B. dorsalis strain collected from a carambola (Averrhoa carambola) orchard in Guangzhou, Guangdong Province, was reared under laboratory conditions (27 ± 1 °C, 12:12 h light:dark cycle, 70–80% RH). A maize-based artificial diet containing 150 g of corn flour, 150 g of banana, 0.6 g of sodium benzoate, 30 g of yeast, 30 g of sucrose, 30 g of paper towel, 1.2 mL of hydrochloric acid and 300 mL of water was used to feed the larvae. Adults were fed a solid diet (consisting of 50 g yeast and 50 g sugar) and 50 mL sterile water in a 35 cm × 35 cm × 35 cm wooden cage. For B. dorsalis, the female will start laying eggs once mated and the female will start mating 7 days after emergence. To make sure all females used in our study were gravid females, females were selected 10 day after emergence.Visualization of CF-BD with FISH and PCRFISH was carried out on dissected gut and ovary samples from B. dorsalis. The hybridization protocol for the gut and ovary was performed according to a previously described method32. Briefly, the gut and ovary were collected and immediately soaked in Carnoy’s fixative for 12 h. After sample fixation, proteinase K (2 mg/mL) treatment for 20 min at 37 °C and HCl (0.2 mol/L) treatment for 15 min at room temperature were performed successively. Then, followed by dehydration in ethanol, the samples were incubated in buffer (20 mM Tris-HCl (pH 8.0), 0.9 M NaCl, 0.01% sodium dodecyl sulfate, 30% formamide) containing 50 nM CF-BD specific probe (5′-AATGGCGTACACAAAGAG-3′) labeled with cy3 at the 5′ end for 90 min. After incubation, the samples were washed with buffer (0.1 M NaCl, 20 mM Tris/HCl (pH 8.0), 5 mM ethylenediaminetetraacetic acid (pH 8.0), 0.01% SDS) and observed under an epifluorescence microscope (Axiophot, Carl Zeiss, Shinjuku-ku, Japan).To further confirm CF-BD in rectum and ovary of mature females, rectums and ovaries of mature females were dissected and fixed in formalin fixation for 24 h. After soaking in graded alcohols and xylene, all samples were embedded in paraffin for section preparation. Samples were sliced into 4 µm each before pasting on the glass slide and then sent for FISH with the same probe (labeled with cy3 at the 5′ end) used above. Moreover, nested PCR was applied to detect CF-BD in 19 ovaries of mature females according to the method of Guo et al., 201733. Briefly, a 1149 bp region of gyrB gene of CF-BD was amplified by the specific outer primer gyrBP1-F (5′-CAGCCCACTCTGAACTGTAT-3′) and gyrBP1-R (5′-TCAGGGCGTTTTCTTCGATA-3′) under a temperature profile of 95 °C for 1 min, which was followed by 25 cycles of 95 °C for 30 s, 52 °C for 30 s, 72 °C for 90 s, and 72 °C for 5 min. Then, a 371 bp region of the gyrB gene of CF-BD was amplified by the specific inner primer gyrBP4-F (5′-ACGCTGGCTGAAGACTGCC-3′) and gyrBP4-R (5′-TGGATAGCGAGACCACGACG-3′) under a temperature profile of 95 °C for 2 min, which was followed by 35 cycles of 95 °C for 30 s, 57 °C for 30 s, 72 °C for 30 s, and 72 °C for 5 min.Influence of CF-BD on B. dorsalis ovary developmentTo evaluate the effect of CF-BD on ovary development, newly emerged B. dorsalis females were injected with streptomycin and CF-BD suspension (both dilute in sterile water). Specifically, 10 µL 25% glycerol solution containing CF-BD was added into 100 mL Luria-Bertani (LB) liquid medium and culturing for 1 day by shaking (180 rpm) in 30 °C incubator. After culturing, CF-BD was collected by centrifuging (3000 rpm, 15 min) the medium in a 50 mL centrifuge tube. Then collected CF-BD was re-suspended with 5 mL sterile water. CF-BD concentration was measured on a hemocytometer and CF-BD concentrations used in the following assays were prepared by diluting the original concentration with sterile water. A 0.5 mm inside diameter capillary needle with 1 μL streptomycin or CF-BD suspension was used for injection. The injection operation was carried out on a microinjector (Eppendorf FemtoJet), and every female was injected in the abdomen near the ovipositor. The concentrations of streptomycin used were 20 mg/mL, 10 mg/mL and 5 mg/mL, respectively. And CF-BD suspension concentrations were 3 × 107 cfu/mL, 1.5 × 107 cfu/mL and 7.5 × 106 cfu/mL, respectively. For control, the female fly was injected with 1 μL sterile water in the abdomen near the ovipositor. Then the development level of the ovary was assessed by comparing the width and length of ovary between streptomycin (or CF-BD suspension) injection flies and control. For CF-BD injected flies, developmental facilitation was observed for ovaries 2 days before the flies reached sexual maturity (flies will reach sexual maturity after 7 days). For antibiotic injected flies, ovaries were dissected after 7 days.Oviposition assaysThe method reported in previous studies was followed for the oviposition experiments17. Briefly, a 2-choice apparatus was assembled in a cage made up of wood and wire gauze (length: width: height = 60 cm: 60 cm: 60 cm) with two petri dishes (diameter: 3 cm) at the bottom of the cage (Fig. 2a). All devices were sterilized before each experiment. Fresh fruits of guava (Psidium guajava Linn.) and mango (Mangifera indica L.) were sourced from the local market in Guangzhou, China. These fruits were sterilized on the surface with ethanol and ground into puree with a sterilized grinder, and puree (2 g) was added to the sterilized Petri dishes of the cages (one dish with puree containing 100 μL CF-BD (0.8*108 cfu/mL) in sterile water, and one dish with puree containing 100 μL sterile water). Then the prepared cages were divided into two groups for different assays. Group 1: At 0 h, 50 gravid females of B. dorsalis were placed in the cages and egg numbers in the petri dishes were recorded after 2 h. Group 2: At 4 h, 50 gravid females of B. dorsalis were placed in the cages and egg numbers in the petri dishes were recorded after 2 h.To test the oviposition attraction of 3-HA, a 4-choice apparatus was assembled in a cage made up of wood and wire gauze (length: width: height = 60 cm: 60 cm: 60 cm) with four petri dishes (diameter: 3 cm) at the bottom of the cage. In the Petri dishes, 2 g puree, 2 g puree + 0.2 mg 3-HA, 2 g puree + 2 mg 3-HA and 2 g puree + 20 mg 3-HA were added. Then, the egg-laying behavior was observed31.To test the oviposition attraction of 3-HA to flies with genes knocked down, 20 females injected with dsRNA were placed into the above cage with two Petri dishes. In the Petri dishes, 2 g guava puree and 2 g guava puree + 20 mg 3-HA were added. Then, the egg-laying behavior was observed using the above method. Oviposition of normally reared females was performed as a control. The oviposition index was calculated using the following formula:Oviposition index = (O − C)/(O + C), where O is the number of eggs in the treatment and C is the number of eggs in the control.Volatile analysisThe volatile compounds in guava and mango purees were analyzed by GC–MS according to the method described in a previous study17. Briefly, 2 g puree mixed with sterile water or CF-BD was added into a 20 ml bottle, and then a 100-μm polydimethylsiloxane (PDMS) SPME fiber (Supelco) was used to extract the headspace volatiles for 30 min. GC–MS was performed with an Agilent 7890B Series GC system coupled to a quadruple-type-mass-selective detector (Agilent 5977B; transfer line 250 °C, source 230 °C, ionization potential 70 eV). The 3-HA concentrations in puree mixed with sterile water and CF-BD were measured with the standard curve drawn by the authentic standards of 3-HA. And 3-HA concentration in puree mixed with sterile water and CF-BD was compared with a paired sample Student’s t-test.Olfactometer bioassaysAn olfactometer consisting of a Y-shaped glass tube with a main arm (20 cm length*5 cm diameter) and two lateral arms (20 cm length, 5 cm diameter) was used. The lateral arms were connected to glass chambers (20 cm diameter, 45 cm height) in which the odor sources were placed. To ensure a supply of odor-free air, both arms of the olfactometer received charcoal-purified and humidified air at a rate of 1.3 L/min.To test the attraction effect of puree supplemented with CF-BD or 3-HA for females, puree mixed with CF-BD was prepared and placed in one odor glass chamber. In the control odor glass chamber, puree mixed with sterile water was placed. After 4 h, gravid females were individually released at the base of the olfactometer and allowed 5 min to show a selective response. The response was recorded when a female moved >3 cm into one arm and stayed for >1 min. Females that did not leave the base of the olfactometer were recorded as nonresponders. Only females that responded were included in the data analysis. Odor sources were randomly placed in one arm or the other at the beginning of the bioassay, and the experiment was repeated ten times. The system was washed with ethanol after every experiment. More than 100 females were selected for testing, and each female was used only once for each odor. A chi-square test was performed to compare the attraction difference between puree mixed with sterile water and CF-BD.Olfactory trap assaysThe attraction of purees supplemented with CF-BD to mature females was also tested. The test chamber was assembled with a plastic cylinder (120 × 30 cm) covered by a ventilated lid. The test chamber contained an odor-baited trap (2 g puree + 100 μL CF-BD (0.8*108 cfu/mL)) and a control trap (2 g puree + 100 μL sterile water). The traps were made of transparent plastic vials (20 × 6 cm) and were sealed with a yellow lid on which small entrances were present to let the flies in (Fig. 3a). After 0 h or 4 h of fermentation, 100 gravid females were released in the cage. The fly number in each trap bottle was recorded after 2 h. The number of flies was compared with a paired sample Student’s t-test.The attraction effect of puree supplemented with 3-HA on mature females was tested by placing four traps (2 g puree, 2 g puree + 0.2 mg 3-HA, 2 g puree + 2 mg 3-HA and 2 g puree + 20 mg 3-HA) in the test chamber. Then, the attraction effect was observed31.Video observation of egg-laying behaviorEgg-laying behavior was observed in a Petri dish. Briefly, guava puree was added to a centrifuge tube on which a hole was made. Then, one gravid female was placed into the petri dish, and the lid was closed. Above the petri dish, a camera was placed to record the behavior of the female before laying eggs.EAG analysisEAG analysis was performed to determine whether 3-HA could elicit electrogram responses in the ovipositors of gravid females and Obps knocked down gravid females. For EAG preparations, the ovipositor of a gravid female was cut off and mounted between two glass electrodes (one electrode connected with the ovipositor tip). The ovipositor tip was cut slightly to facilitate electrical contact. Dilution of 3-HA in ethanol (0.1, 1 and 10 mg/mL) was used as a stimulant. Ethanol was used as control. For each ovipositor, ethanol and 3-HA diluted in ethanol were used as stimulants. The signals from the ovipositors were analyzed with GC-EAD 2014 software (version 4.6, Syntech).Transcriptome sequencing and gene identificationTo identify the olfactory genes that contribute to B. dorsalis oviposition preference, the transcriptome sequencing results of the female ovipositors at different developmental times (0 day, 3 days, 6 days, 9 days and 12 days) were compared. For each time, 5 ovipositors were dissected for RNA extraction. In addition, five replicates were included for each time. In the next step, paired-end RNA-seq libraries were prepared by following Illumina’s library construction protocol. The libraries were sequenced on an Illumina HiSeq2000 platform (Illumina, USA). FASTQ files of raw reads were produced and sorted by barcodes for further analysis. Prior to assembly, paired-end raw reads (uploaded to National Genomics Data Center, Accession number: PRJCA004790) from each cDNA library were processed to remove adapters, low-quality sequences (Q  More

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    Role of saltmarsh systems in estuarine trapping of microplastics

    Coffaro, G. & Bocci, M. Resources competition between Ulva rigida and Zostera marina: A quantitative approach applied to the Lagoon of Venice. Ecol. Model. 102(1), 81–95 (1997).CAS 
    Article 

    Google Scholar 
    Araújo, C. V. et al. Feeding niche preference of the mudsnail Peringia ulvae. Mar. Freshw. Res. 66(7), 573–581 (2015).Article 

    Google Scholar 
    Whitfield, A. K. The role of seagrass meadows, mangrove forests, salt marshes and reed beds as nursery areas and food sources for fishes in estuaries. Rev. Fish Biol. Fish. 27(1), 75–110 (2017).Article 

    Google Scholar 
    Su, L. et al. The occurrence of microplastic in specific organs in commercially caught fishes from coast and estuary area of east China. J. Hazard. Mater. 365, 716–724 (2019).CAS 
    PubMed 
    Article 

    Google Scholar 
    Benassai, G. Introduction to Coastal Dynamics and Shoreline Protection (Wit Press, 2006).
    Google Scholar 
    Decho, A. W. Microbial biofilms in intertidal systems: An overview. Cont. Shelf Res. 20(10–11), 1257–1273 (2000).ADS 
    Article 

    Google Scholar 
    Thompson, C. E., Amos, C. L. & Umgiesser, G. A comparison between fluid shear stress reduction by halophytic plants in Venice Lagoon, Italy and Rustico Bay, Canada—Analyses of in situ measurements. J. Mar. Syst. 51(1–4), 293–308 (2004).Article 

    Google Scholar 
    Neumeier, U. & Amos, C. L. Turbulence reduction by the canopy of coastal Spartina salt-marshes. J. Coast. Res. 53, 433–439 (2006).
    Google Scholar 
    Black, K. S., Tolhurst, T. J., Paterson, D. M. & Hagerthey, S. E. Working with natural cohesive sediments. J. Hydraul. Eng. 128(1), 2–8 (2002).Article 

    Google Scholar 
    Paterson, D. M. Short-term changes in the erodibility of intertidal cohesive sediments related to the migratory behavior of epipelic diatoms. Limnol. Oceanogr. 34(1), 223–234 (1989).ADS 
    Article 

    Google Scholar 
    Tolhurst, T.J., Jesus, B., Brotas, V. & Paterson, D.M. Diatom migration and sediment armouring—An example from the Tagus Estuary, Portugal. in Migrations and Dispersal of Marine Organisms. 183–193. (Springer, 2003).Tinoco, R. O. & Coco, G. Observations of the effect of emergent vegetation on sediment resuspension under unidirectional currents and waves. Earth Surf. Dyn. 2(1), 83 (2014).ADS 
    Article 

    Google Scholar 
    Chen, Y. et al. Differential sediment trapping abilities of mangrove and saltmarsh vegetation in a subtropical estuary. Geomorphology 318, 270–282 (2018).ADS 
    Article 

    Google Scholar 
    Cozzolino, L., Nicastro, K. R., Zardi, G. I. & Carmen, B. Species-specific plastic accumulation in the sediment and canopy of coastal vegetated habitats. Sci. Total Environ. 723, 138018 (2020).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Widdows, J., Pope, N. D. & Brinsley, M. D. Effect of Spartina anglica stems on near-bed hydrodynamics, sediment erodability and morphological changes on an intertidal mudflat. Mar. Ecol. Prog. Ser. 362, 45–57 (2008).ADS 
    Article 

    Google Scholar 
    Marion, C., Anthony, E. J. & Trentesaux, A. Short-term (≤ 2 yrs) estuarine mudflat and saltmarsh sedimentation: High-resolution data from ultrasonic altimetery, rod surface-elevation table, and filter traps. Estuar. Coast. Shelf Sci. 83(4), 475–484 (2009).ADS 
    Article 

    Google Scholar 
    Coulombier, T., Neumeier, U. & Bernatchez, P. Sediment transport in a cold climate salt marsh (St. Lawrence Estuary, Canada), the importance of vegetation and waves. Estuar. Coast. Shelf Sci. 101, 64–75 (2012).ADS 
    Article 

    Google Scholar 
    Neumeier, U. & Ciavola, P. Flow resistance and associated sedimentary processes in a Spartina maritima salt-marsh. J. Coast. Res. 20(2), 435–447 (2002).
    Google Scholar 
    Yao, W. et al. Micro-and macroplastic accumulation in a newly formed Spartina alterniflora colonized estuarine saltmarsh in southeast China. Mar. Pollut. Bull. 149, 110636 (2019).CAS 
    Article 

    Google Scholar 
    Fok, L. & Cheung, P. K. Hong Kong at the Pearl River Estuary: A hotspot of microplastic pollution. Mar. Pollut. Bull. 99(1–2), 112–118 (2015).CAS 
    PubMed 
    Article 

    Google Scholar 
    Weinstein, J. E., Crocker, B. K. & Gray, A. D. From macroplastic to microplastic: Degradation of high-density polyethylene, polypropylene, and polystyrene in a salt marsh habitat. Environ. Toxicol. Chem. 35(7), 1632–1640 (2016).CAS 
    PubMed 
    Article 

    Google Scholar 
    Willis, K. A., Eriksen, R., Wilcox, C. & Hardesty, B. D. Microplastic distribution at different sediment depths in an urban estuary. Front. Mar. Sci. 4, 419 (2017).Article 

    Google Scholar 
    Stead, J. L. et al. Identification of tidal trapping of microplastics in a temperate salt marsh system using sea surface microlayer sampling. Sci. Rep. 10(1), 1–10 (2020).Article 
    CAS 

    Google Scholar 
    Friend, P. L., Ciavola, P., Cappucci, S. & Santos, R. Bio-dependent bed parameters as a proxy tool for sediment stability in mixed habitat intertidal areas. Cont. Shelf Res. 23(17–19), 1899–1917 (2003).ADS 
    Article 

    Google Scholar 
    Hurley, R., Woodward, J. & Rothwell, J. J. Microplastic contamination of river beds significantly reduced by catchment-wide flooding. Nat. Geosci. 11(4), 251–257 (2018).ADS 
    CAS 
    Article 

    Google Scholar 
    Ockelford, A., Cundy, A. & Ebdon, J. E. Storm response of fluvial sedimentary microplastics. Sci. Rep. 10(1), 1–10 (2020).Article 
    CAS 

    Google Scholar 
    Wang, J. Q. et al. Bioturbation of burrowing crabs promotes sediment turnover and carbon and nitrogen movements in an estuarine salt marsh. Ecosystems 13(4), 586–599 (2010).CAS 
    Article 

    Google Scholar 
    Soulsby, R.L.. The bottom boundary layer of shelf seas. in Elsevier Oceanography Series. Vol. 35. 189–266. (Elsevier, 1983).Thompson, C. E., Amos, C. L., Lecouturier, M. & Jones, T. E. R. Flow deceleration as a method of determining drag coefficient over roughened flat beds. J. Geophys. Res. Oceans 109, C3 (2004).
    Google Scholar 
    Chirol, C. et al. The influence of bed roughness on turbulence: Cabras Lagoon, Sardinia, Italy. J. Mar. Sci. Eng. 3(3), 935–956 (2015).Article 

    Google Scholar 
    Kassem, H., Sutherland, T. F. & Amos, C. L. Hydrodynamic controls on the particle size of resuspended sediment from sandy and muddy substrates in British Columbia, Canada. J. Coast. Res. 37, 691 (2021).CAS 
    Article 

    Google Scholar 
    Nepf, H. M. Flow and transport in regions with aquatic vegetation. Annu. Rev. Fluid Mech. 44, 123–142 (2012).ADS 
    MathSciNet 
    MATH 
    Article 

    Google Scholar 
    Bouma, T. J. et al. Density-dependent linkage of scale-dependent feedbacks: A flume study on the intertidal macrophyte Spartina anglica. Oikos 118(2), 260–268 (2009).Article 

    Google Scholar 
    Amos, C. L. et al. The stability of tidal flats in Venice Lagoon—The results of in-situ measurements using two benthic, annular flumes. J. Mar. Syst. 51(1–4), 211–241 (2004).Article 

    Google Scholar 
    Amos, C. L., Feeney, T., Sutherland, T. F. & Luternauer, J. L. The stability of fine-grained sediments from the Fraser River Delta. Estuar. Coast. Shelf Sci. 45(4), 507–524 (1997).ADS 
    CAS 
    Article 

    Google Scholar 
    Tolhurst, T.J., Gust, G., & Paterson, D.M. The influence of an extracellular polymeric substance (EPS) on cohesive sediment stability. in Proceedings in Marine Science. Vol. 5. 409–425. (Elsevier, 2002).Brückner, M. Z. et al. Benthic species as mud patrol-modelled effects of bioturbators and biofilms on large-scale estuarine mud and morphology. Earth Surf. Proc. Land. 46(6), 1128–1144 (2021).ADS 
    Article 

    Google Scholar 
    Ferdowsi, B., Ortiz, C. P., Houssais, M. & Jerolmack, D. J. River-bed armouring as a granular segregation phenomenon. Nat. Commun. 8(1), 1–10 (2017).CAS 
    Article 

    Google Scholar 
    Andersen, T. J., Jensen, K. T., Lund-Hansen, L., Mouritsen, K. N. & Pejrup, M. Enhanced erodibility of fine-grained marine sediments by Hydrobia ulvae. J. Sea Res. 48(1), 51–58 (2002).ADS 
    Article 

    Google Scholar 
    Orvain, F., Sauriau, P. G., Sygut, A., Joassard, L. & Le Hir, P. Interacting effects of Hydrobia ulvae bioturbation and microphytobenthos on the erodibility of mudflat sediments. Mar. Ecol. Prog. Ser. 278, 205–223 (2004).ADS 
    Article 

    Google Scholar 
    Orvain, F., Sauriau, P. G., Bacher, C. & Prineau, M. The influence of sediment cohesiveness on bioturbation effects due to Hydrobia ulvae on the initial erosion of intertidal sediments: A study combining flume and model approaches. J. Sea Res. 55(1), 54–73 (2006).ADS 
    Article 

    Google Scholar 
    Widdows, J. et al. Inter-comparison between five devices for determining erodability of intertidal sediments. Cont. Shelf Res. 27(8), 1174–1189 (2007).ADS 
    Article 

    Google Scholar 
    Amos, C. L. et al. The stability of a mudflat in the Humber estuary, South Yorkshire, UK. Geol. Soc. Lond. Spec. Publ. 139(1), 25–43 (1998).ADS 
    Article 

    Google Scholar 
    Tolhurst, T. J., Black, K. S. & Paterson, D. M. Muddy sediment erosion: Insights from field studies. J. Hydraul. Eng. 135(2), 73–87 (2009).Article 

    Google Scholar 
    Quaresma, V. D. S., Bastos, A. C. & Amos, C. L. Sedimentary processes over an intertidal flat: A field investigation at Hythe flats, Southampton Water (UK). Mar. Geol. 241(1–4), 117–136 (2007).ADS 
    Article 

    Google Scholar 
    Helcoski, R., Yonkos, L. T., Sanchez, A. & Baldwin, A. H. Wetland soil microplastics are negatively related to vegetation cover and stem density. Environ. Pollut. 256, 113391 (2020).CAS 
    PubMed 
    Article 

    Google Scholar 
    Rochman, C. M. et al. Classify plastic waste as hazardous. Nature 494(7436), 169–171 (2013).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Barboza, L. G. A., Vethaak, A. D., Lavorante, B. R., Lundebye, A. K. & Guilhermino, L. Marine microplastic debris: An emerging issue for food security, food safety and human health. Mar. Pollut. Bull. 133, 336–348 (2018).CAS 
    PubMed 
    Article 

    Google Scholar 
    de Barros, M. S. F., dos Santos Calado, T. C., Silva, A. S. & dos Santos, E. V. Ingestion of plastic debris affects feeding intensity in the rocky shore crab Pachygrapsus transversus Gibbes 1850 (Brachyura: Grapsidae). Int. J. Biodivers. Conserv. 12(1), 113–117 (2020).
    Google Scholar 
    Villagran, D. M., Truchet, D. M., Buzzi, N. S., Lopez, A. D. F. & Severini, M. D. F. A baseline study of microplastics in the burrowing crab (Neohelice granulata) from a temperate southwestern Atlantic estuary. Mar. Pollut. Bull. 150, 110686 (2020).CAS 
    PubMed 
    Article 

    Google Scholar 
    Townend, I. A Conceptual Model of Southampton Water. Vol 1. (Tech. Rep.). ABPmer report.. http://www.estuary-guide.net/pdfs/southampton_water_case_study.pdf. Accessed 21 May 2008 (ABP Marine Environmental Research Ltd., 2008).Amos, C. L., Grant, J., Daborn, G. R. & Black, K. Sea carousel—A benthic, annular flume. Estuar. Coast. Shelf Sci. 34(6), 557–577 (1992).ADS 
    Article 

    Google Scholar 
    Thompson, C. E., Amos, C. L., Jones, T. E. R. & Chaplin, J. The manifestation of fluid-transmitted bed shear stress in a smooth annular flume-a comparison of methods. J. Coast. Res. 1, 1094–1103 (2003).
    Google Scholar 
    Buls, T., Anderskouv, K., Friend, P. L., Thompson, C. E. & Stemmerik, L. Physical behaviour of Cretaceous calcareous nannofossil ooze: Insight from flume studies of disaggregated chalk. Sedimentology 64(2), 478–507 (2017).Article 

    Google Scholar 
    Tuprakay, S., Usahanunth, N. & Tuprakay, S. R. A study bakelite plastics waste from industrial process in concrete products as aggregate. Int. J. Struct. Civ. Eng. Res. 6(4), 7 (2017).
    Google Scholar 
    Thompson, C. E. L., Couceiro, F., Fones, G. R. & Amos, C. L. Shipboard measurements of sediment stability using a small annular flume—Core mini flume (CMF). Limnol. Oceanogr. Methods 11(11), 604–615 (2013).Article 

    Google Scholar 
    Kassem, H., Thompson, C. E., Amos, C. L. & Townend, I. H. Wave-induced coherent turbulence structures and sediment resuspension in the nearshore of a prototype-scale sandy barrier beach. Cont. Shelf Res. 109, 78–94 (2015).ADS 
    Article 

    Google Scholar 
    Kassem, H. et al. Observations of nearbed turbulence over mobile bedforms in combined, collinear wave-current flows. Water 12(12), 3515 (2020).CAS 
    Article 

    Google Scholar 
    Elgar, S., Raubenheimer, B. & Guza, R. T. Quality control of acoustic Doppler velocimeter data in the surfzone. Meas. Sci. Technol. 16(10), 1889 (2005).ADS 
    CAS 
    Article 

    Google Scholar 
    Goring, D. G. & Nikora, V. I. Despiking acoustic Doppler velocimeter data. J. Hydraul. Eng. 128(1), 117–126 (2002).Article 

    Google Scholar 
    Mori, N., Suzuki, T. & Kakuno, S. Noise of acoustic Doppler velocimeter data in bubbly flows. J. Eng. Mech. 133(1), 122–125 (2007).
    Google Scholar 
    Stapleton, K. R. & Huntley, D. A. Seabed stress determinations using the inertial dissipation method and the turbulent kinetic energy method. Earth Surf. Proc. Land. 20(9), 807–815 (1995).ADS 
    Article 

    Google Scholar 
    Dyer, K. Estuaries, A Physical Introduction. 2nd edn. https://doi.org/10.2307/1797104 (Wiley, 1997). More

  • in

    Long-term ecological and evolutionary dynamics in the gut microbiomes of carbapenemase-producing Enterobacteriaceae colonized subjects

    von Wintersdorff, C. J. et al. Dissemination of antimicrobial resistance in microbial ecosystems through horizontal gene transfer. Front. Microbiol. 7, 173 (2016).
    Google Scholar 
    Suay-García, B. & Pérez-Gracia, M. T. Present and future of carbapenem-resistant Enterobacteriaceae (CRE) infections. Antibiotics 8, 122 (2019).PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Blair, J. M., Webber, M. A., Baylay, A. J., Ogbolu, D. O. & Piddock, L. J. Molecular mechanisms of antibiotic resistance. Nat. Rev. Microbiol. 13, 42–51 (2015).CAS 
    PubMed 
    Article 

    Google Scholar 
    Codjoe, F. S. & Donkor, E. S. Carbapenem resistance: a review. Med Sci. 6, 1 (2017).
    Google Scholar 
    Schechner, V. et al. Asymptomatic rectal carriage of blaKPC producing carbapenem-resistant Enterobacteriaceae: who is prone to become clinically infected? Clin. Microbiol. Infect. 19, 451–456 (2013).CAS 
    PubMed 
    Article 

    Google Scholar 
    Penders, J., Stobberingh, E. E., Savelkoul, P. H. & Wolffs, P. F. The human microbiome as a reservoir of antimicrobial resistance. Front Microbiol. 4, 87 (2013).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Nordmann, P., Naas, T. & Poirel, L. Global spread of Carbapenemase-producing Enterobacteriaceae. Emerg. Infect. Dis. 17, 1791–1798 (2011).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Tooke, C. L. et al. β-Lactamases and β-lactamase inhibitors in the 21st century. J. Mol. Biol. 431, 3472–3500 (2019).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Sun, X. et al. Microbiota-derived metabolic factors reduce campylobacteriosis in mice. Gastroenterology 154, 1751–1763.e2 (2018).CAS 
    PubMed 
    Article 

    Google Scholar 
    Ichinohe, T. et al. Microbiota regulates immune defense against respiratory tract influenza A virus infection. Proc. Natl Acad. Sci. USA 108, 5354–5359 (2011).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Buffie, C. G. et al. Precision microbiome reconstitution restores bile acid mediated resistance to Clostridium difficile. Nature 517, 205–208 (2015).CAS 
    PubMed 
    Article 

    Google Scholar 
    Lieberman, T. D. et al. Parallel bacterial evolution within multiple patients identifies candidate pathogenicity genes. Nat. Genet. 43, 1275–1280 (2011).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Garud, N. R., Good, B. H., Hallatschek, O. & Pollard, K. S. Evolutionary dynamics of bacteria in the gut microbiome within and across hosts. PLoS Biol. 17, e3000102 (2019).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Chu, N. D., Smith, M. B., Perrotta, A. R., Kassam, Z. & Alm, E. J. Profiling living bacteria informs preparation of fecal microbiota transplantations. PLoS ONE 12, e0170922 (2017).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Ferreiro, A., Crook, N., Gasparrini, A. J. & Dantas, G. Multiscale evolutionary dynamics of host-associated microbiomes. Cell 172, 1216–1227 (2018).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Mo, Y. et al. Duration of carbapenemase-producing Enterobacteriaceae carriage in hospital patients. Emerg. Infect. Dis. 26, 2182–2185 (2020).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Haverkate, M. R. et al. Duration of colonization with Klebsiella pneumoniae carbapenemase-producing bacteria at long-term acute care hospitals in Chicago, Illinois. Open Forum Infect. Dis. 3, ofw178 (2016).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Korach-Rechtman, H. et al. Intestinal dysbiosis in carriers of carbapenem-resistant Enterobacteriaceae. mSphere 5, e00173–20 (2020).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Yoshida, N. et al. Bacteroides vulgatus and Bacteroides dorei reduce gut microbial lipopolysaccharide production and inhibit atherosclerosis. Circulation 138, 2486–2498 (2018).CAS 
    PubMed 
    Article 

    Google Scholar 
    Lenoir, M. et al. Butyrate mediates anti-inflammatory effects of. Gut Microbes 12, 1–16 (2020).PubMed 
    Article 
    CAS 

    Google Scholar 
    Riedel, C. U. et al. Anti-inflammatory effects of bifidobacteria by inhibition of LPS-induced NF-κB activation. World J. Gastroenterol. 12, 3729–3735 (2006).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Zeng, M. Y., Inohara, N. & Nuñez, G. Mechanisms of inflammation-driven bacterial dysbiosis in the gut. Mucosal Immunol. 10, 18–26 (2017).CAS 
    PubMed 
    Article 

    Google Scholar 
    Winter, S. E. & Bäumler, A. J. A breathtaking feat: to compete with the gut microbiota, Salmonella drives its host to provide a respiratory electron acceptor. Gut Microbes 2, 58–60 (2011).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Rivera-Chávez, F., Lopez, C. A. & Bäumler, A. J. Oxygen as a driver of gut dysbiosis. Free Radic. Biol. Med. 105, 93–101 (2017).PubMed 
    Article 
    CAS 

    Google Scholar 
    Chng, K. R. et al. Metagenome-wide association analysis identifies microbial determinants of post-antibiotic ecological recovery in the gut. Nat. Ecol. Evol. 4, 1256–1267 (2020).PubMed 
    Article 

    Google Scholar 
    Tenaillon, O., Skurnik, D., Picard, B. & Denamur, E. The population genetics of commensal Escherichia coli. Nat. Rev. Microbiol. 8, 207–217 (2010).CAS 
    PubMed 
    Article 

    Google Scholar 
    Stacy, A. et al. Infection trains the host for microbiota-enhanced resistance to pathogens. Cell 184, 615–627.e17 (2021).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Barreto, H. C., Sousa, A. & Gordo, I. The landscape of adaptive evolution of a gut commensal bacteria in aging mice. Curr. Biol. 30, 1102–1109.e5 (2020).CAS 
    PubMed 
    Article 

    Google Scholar 
    Ernst, C. M. et al. Adaptive evolution of virulence and persistence in carbapenem-resistant Klebsiella pneumoniae. Nat. Med. 26, 705–711 (2020).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Zhao, S. et al. Adaptive evolution within gut microbiomes of healthy people. Cell Host Microbe 25, 656–667.e8 (2019).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Warsi, O. M., Andersson, D. I. & Dykhuizen, D. E. Different adaptive strategies in E. coli populations evolving under macronutrient limitation and metal ion limitation. BMC Evol. Biol. 18, 72 (2018).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Hickman, R. A., Munck, C. & Sommer, M. O. A. Time-resolved tracking of mutations reveals diverse allele dynamics during Escherichia coli antimicrobial adaptive evolution to single drugs and drug pairs. Front. Microbiol. 8, 893 (2017).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Auriol, C., Bestel-Corre, G., Claude, J. B., Soucaille, P. & Meynial-Salles, I. Stress-induced evolution of Escherichia coli points to original concepts in respiratory cofactor selectivity. Proc. Natl Acad. Sci. USA 108, 1278–1283 (2011).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Juers, D. H., Matthews, B. W. & Huber, R. E. LacZ β-galactosidase: structure and function of an enzyme of historical and molecular biological importance. Protein Sci. 21, 1792–1807 (2012).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Rogers, A. W. L., Tsolis, R. M. & Bäumler, A. J. Salmonella versus the microbiome. Microbiol. Mol. Biol. Rev. 85, e00027–19 (2021).CAS 
    PubMed 
    Article 

    Google Scholar 
    Hughes, E. R. et al. Microbial respiration and formate oxidation as metabolic signatures of inflammation-associated dysbiosis. Cell Host Microbe 21, 208–219 (2017).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Gupta, S., Allen-Vercoe, E. & Petrof, E. O. Fecal microbiota transplantation: in perspective. Ther. Adv. Gastroenterol. 9, 229–239 (2016).Article 

    Google Scholar 
    Wortelboer, K., Nieuwdorp, M. & Herrema, H. Fecal microbiota transplantation beyond Clostridioides difficile infections. EBioMedicine 44, 716–729 (2019).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Lee, S. M. et al. Bacterial colonization factors control specificity and stability of the gut microbiota. Nature 501, 426–429 (2013).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Martinson, J. N. V. et al. Rethinking gut microbiome residency and the Enterobacteriaceae in healthy human adults. ISME J. 13, 2306–2318 (2019).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Woyke, T., Doud, D. F. R. & Schulz, F. The trajectory of microbial single-cell sequencing. Nat. Methods 14, 1045–1054 (2017).CAS 
    PubMed 
    Article 

    Google Scholar 
    Domingo, E. & Perales, C. Viral quasispecies. PLoS Genet. 15, e1008271 (2019).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Yamada, C. et al. Molecular insight into evolution of symbiosis between breast-fed infants and a member of the human gut microbiome Bifidobacterium longum. Cell Chem. Biol. 24, 515–524.e5 (2017).CAS 
    PubMed 
    Article 

    Google Scholar 
    Zerbino, D. R. & Birney, E. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 18, 821–829 (2008).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Gao, S., Bertrand, D., Chia, B. K. & Nagarajan, N. OPERA-LG: efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees. Genome Biol. 17, 102 (2016).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Gao, S., Bertrand, D. & Nagarajan, N. FinIS: improved in silico finishing using an exact quadratic programming formulation. Lect. Notes Comput. Sci. 7534, 314–325 (2012).Article 

    Google Scholar 
    Li H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv 1303.3997v2 (2013).Segata, N. et al. Metagenomic microbial community profiling using unique clade-specific marker genes. Nat. Methods 9, 811–814 (2012).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Franzosa, E. A. et al. Species-level functional profiling of metagenomes and metatranscriptomes. Nat. Methods 15, 962–968 (2018).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Salter, S. J. et al. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses. BMC Biol. 12, 87 (2014).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Segata, N. et al. Metagenomic biomarker discovery and explanation. Genome Biol. 12, R60 (2011).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Hawinkel, S., Mattiello, F., Bijnens, L. & Thas, O. A broken promise: microbiome differential abundance methods do not control the false discovery rate. Brief. Bioinformatics 20, 210–221 (2019).PubMed 
    Article 

    Google Scholar 
    Morton, J. T. et al. Establishing microbial composition measurement standards with reference frames. Nat. Commun. 10, 2719 (2019).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Inouye, M. et al. SRST2: rapid genomic surveillance for public health and hospital microbiology labs. Genome Med. 6, 90 (2014).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Alcock, B. P. et al. CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database. Nucleic Acids Res. 48, D517–D525 (2020).CAS 
    PubMed 
    Article 

    Google Scholar 
    Kurtz, S. et al. Versatile and open software for comparing large genomes. Genome Biol. 5, R12 (2004).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Wilm, A. et al. LoFreq: a sequence-quality aware, ultra-sensitive variant caller for uncovering cell-population heterogeneity from high-throughput sequencing datasets. Nucleic Acids Res. 40, 11189–11201 (2012).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Hinrichs, A. S. et al. The UCSC Genome Browser Database: update 2006. Nucleic Acids Res. 34, D590–D598 (2006).CAS 
    PubMed 
    Article 

    Google Scholar 
    Pracana, R., Priyam, A., Levantis, I., Nichols, R. A. & Wurm, Y. The fire ant social chromosome supergene variant Sb shows low diversity but high divergence from SB. Mol. Ecol. 26, 2864–2879 (2017).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Quinlan, A. R. BEDTools: the Swiss-Army tool for genome feature analysis. Curr. Protoc. Bioinformatics 47, 11.12.1–34 (2014).Article 

    Google Scholar 
    Spedicato, G. Discrete time Markov chains with R. R J. 9.2, 84 (2017).Article 

    Google Scholar 
    Cingolani, P. et al. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly 6, 80–92 (2012).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Hahsler, M., Piekenbrock, M. & Doran, D. dbscan: fast density-based clustering with R. J. Stat. Softw. 91, 1–30 (2019).Article 

    Google Scholar 
    Galata, V., Fehlmann, T., Backes, C. & Keller, A. PLSDB: a resource of complete bacterial plasmids. Nucleic Acids Res. 47, D195–D202 (2019).CAS 
    PubMed 
    Article 

    Google Scholar 
    Ondov, B. D. et al. Mash: fast genome and metagenome distance estimation using MinHash. Genome Biol. 17, 132 (2016).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Quan, S. et al. Adaptive evolution of the lactose utilization network in experimentally evolved populations of Escherichia coli. PLoS Genet. 8, e1002444 (2012).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Tsuchido, T., VanBogelen, R. A. & Neidhardt, F. C. Heat shock response in Escherichia coli influences cell division. Proc. Natl Acad. Sci. USA 83, 6959–6963 (1986).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Trubetskoy, D., Proux, F., Allemand, F., Dreyfus, M. & Iost, I. SrmB, a DEAD-box helicase involved in Escherichia coli ribosome assembly, is specifically targeted to 23S rRNA in vivo. Nucleic Acids Res. 37, 6540–6549 (2009).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Garoff, L., Huseby, D. L., Praski Alzrigat, L. & Hughes, D. Effect of aminoacyl-tRNA synthetase mutations on susceptibility to ciprofloxacin in Escherichia coli. J. Antimicrob. Chemother. 73, 3285–3292 (2018).CAS 
    PubMed 
    Article 

    Google Scholar 
    Aponte, R. A., Zimmermann, S. & Reinstein, J. Directed evolution of the DnaK chaperone: mutations in the lid domain result in enhanced chaperone activity. J. Mol. Biol. 399, 154–167 (2010).CAS 
    PubMed 
    Article 

    Google Scholar 
    Mundhada, H. et al. Increased production of l-serine in Escherichia coli through adaptive laboratory evolution. Metab. Eng. 39, 141–150 (2017).CAS 
    PubMed 
    Article 

    Google Scholar 
    Conrad, T. M. et al. RNA polymerase mutants found through adaptive evolution reprogram Escherichia coli for optimal growth in minimal media. Proc. Natl Acad. Sci. USA 107, 20500–20505 (2010).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Li, Y. et al. LPS remodeling is an evolved survival strategy for bacteria. Proc. Natl Acad. Sci. USA 109, 8716–8721 (2012).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar  More

  • in

    Exploring plant volatile-mediated interactions between native and introduced plants and insects

    Mack, R. N. et al. Biotic invasions: Causes, epidemiology, global consequences, and control. Ecol. Appl. 10, 689–710 (2000).
    Google Scholar 
    Turbelin, A. J., Malamud, B. D. & Francis, R. A. Mapping the global state of invasive alien species: Patterns of invasion and policy responses. Glob. Ecol. Biogeogr. 26, 78–92 (2017).
    Google Scholar 
    Jackson, M. C. Interactions among multiple invasive animals. Ecology 96, 2035–2041 (2015).CAS 
    PubMed 

    Google Scholar 
    Rodriguez, L. F. Can invasive species facilitate native species? Evidence of how, when, and why these impacts occur. Biol. Invasions 8, 927–939 (2006).
    Google Scholar 
    Duenas, M. A. et al. The role played by invasive species in interactions with endangered and threatened species in the United States: A systematic review. Biodivers. Conserv. 27, 3171–3183 (2018).
    Google Scholar 
    Weidenhamer, J. D. & Callaway, R. M. Direct and indirect effects of invasive plants on soil chemistry and ecosystem function. J. Chem. Ecol. 36, 59–69 (2010).CAS 
    PubMed 

    Google Scholar 
    Bajwa, A. A., Chauhan, B. S., Farooq, M., Shabbir, A. & Adkins, S. W. What do we really know about alien plant invasion? A review of the invasion mechanism of one of the world’s worst weeds. Planta 244, 39–57 (2016).CAS 
    PubMed 

    Google Scholar 
    Tallamy, D. W., Narango, D. L. & Mitchell, A. B. Do non-native plants contribute to insect declines?. Ecol. Entomol. 46, 729–742. https://doi.org/10.1111/een.12973 (2021).Article 

    Google Scholar 
    Bezemer, T. M., Harvey, J. A. & Cronin, J. T. Response of native insect communities to invasive plants. Annu. Rev. Entomol. 59, 119 (2014).CAS 
    PubMed 

    Google Scholar 
    Cheng, F. & Cheng, Z. Research progress on the use of plant allelopathy in agriculture and the physiological and ecological mechanisms of allelopathy. Front. Plant Sci. 6, 1020 (2015).PubMed 
    PubMed Central 

    Google Scholar 
    Kalisz, S., Kivlin, S. N. & Bialic-Murphy, L. Allelopathy is pervasive in invasive plants. Biol. Invasions 23, 367–371 (2021).
    Google Scholar 
    Pyšek, P. et al. A global assessment of invasive plant impacts on resident species, communities and ecosystems: The interaction of impact measures, invading species’ traits and environment. Glob. Change Biol. 18, 1725–1737 (2012).ADS 

    Google Scholar 
    Zhang, P., Li, B., Wu, J. & Hu, S. Invasive plants differentially affect soil biota through litter and rhizosphere pathways: A meta-analysis. Ecol. Lett. 22, 200–210 (2019).ADS 
    PubMed 

    Google Scholar 
    Dudareva, N., Klempien, A., Muhlemann, J. K. & Kaplan, I. Biosynthesis, function and metabolic engineering of plant volatile organic compounds. New Phytol. 198, 16–32 (2013).CAS 
    PubMed 

    Google Scholar 
    Clavijo McCormick, A. Can plant–natural enemy communication withstand disruption by biotic and abiotic factors?. Ecol. Evol. 6, 8569–8582 (2016).PubMed 
    PubMed Central 

    Google Scholar 
    Bruce, T. J., Wadhams, L. J. & Woodcock, C. M. Insect host location: A volatile situation. Trends Plant Sci. 10, 269–274 (2005).CAS 
    PubMed 

    Google Scholar 
    Clavijo McCormick, A., Unsicker, S. B. & Gershenzon, J. The specificity of herbivore-induced plant volatiles in attracting herbivore enemies. Trends Plant Sci. 17, 303–310 (2012).CAS 
    PubMed 

    Google Scholar 
    Baldwin, I. T., Halitschke, R., Paschold, A., Von Dahl, C. C. & Preston, C. A. Volatile signaling in plant–plant interactions: “Talking trees” in the genomics era. Science 311, 812–815 (2006).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Kegge, W. & Pierik, R. Biogenic volatile organic compounds and plant competition. Trends Plant Sci. 15, 126–132 (2010).CAS 
    PubMed 

    Google Scholar 
    Effah, E., Holopainen, J. K. & Clavijo McCormick, A. Potential roles of volatile organic compounds in plant competition. Perspect. Plant Ecol. Evol. Syst. 38, 58–63 (2019).
    Google Scholar 
    Kigathi, R. N., Weisser, W. W., Reichelt, M., Gershenzon, J. & Unsicker, S. B. Plant volatile emission depends on the species composition of the neighboring plant community. BMC Plant Biol. 19, 1–17 (2019).
    Google Scholar 
    Karban, R., Wetzel, W. C., Shiojiri, K., Pezzola, E. & Blande, J. D. Geographic dialects in volatile communication between sagebrush individuals. Ecology 97, 2917–2924 (2016).PubMed 

    Google Scholar 
    Wheeler, G. S., David, A. S. & Lake, E. C. Volatile chemistry, not phylogeny, predicts host range of a biological control agent of Old-World climbing fern. Biol. Control 159, 104636 (2021).CAS 

    Google Scholar 
    Li, N. et al. Manipulating two olfactory cues causes a biological control beetle to shift to non-target plant species. J. Ecol. 105, 1534–1546 (2017).CAS 

    Google Scholar 
    Buddenhagen, C. E. Broom Control Monitoring at Tongariro National Park (Department of Conservation Wellington, 2000).
    Google Scholar 
    Hayes, L. et al. Biocontrol of Weeds: Achievements to Date and Future Outlook. Ecosystem services in New Zealand-conditions and trends Vol. 2, 375–385 (Manaaki Whenua Press, 2013).
    Google Scholar 
    Bagnall, A. Heather at Tongariro. A study of a weed introduction. Tussock Grasslands Mt. Lands Inst. Rev 41, 17–21 (1982).
    Google Scholar 
    Chapman, H. M. & Bannister, P. The spread of heather, Calluna vulgaris (L.) Hull, into indigenous plant communities of Tongariro National Park. N. Z. J. Ecol. 7–16 (1990).Effah, E. et al. Effects of two invasive weeds on arthropod community structure on the Central Plateau of New Zealand. Plants 9, 919 (2020).CAS 
    PubMed Central 

    Google Scholar 
    Keesing, V. F. Impacts of invasion on community structure: habitat and invertebrate assemblage responses to Calluna vulgaris (L.) Hull invasion, in Tongariro National Park, New Zealand, Massey University Palmerston North, New Zealand, (1995).Peterson, P. G., Fowler, S. V. & Barrett, P. Is the poor establishment and performance of heather beetle in Tongariro National Park due to the impact of parasitoids predators or disease. N. Z. Plant Prot. 57, 89–93. https://doi.org/10.30843/nzpp.2004.57.6977 (2004).Article 

    Google Scholar 
    Ajpark. The brands and the bees: trade marks and the mānuka challenge for honey businesses, https://www.ajpark.com/insights/the-brands-and-the-bees-trade-marks-and-the-manuka-challenge-for-honey-businesses/#:~:text=M%C4%81nuka%20is%20a%20taonga%20species,may%20be%20offensive%20to%20M%C4%81ori (2021).Effah, E. et al. Seasonal and environmental variation in volatile emissions of the New Zealand native plant Leptospermum scoparium in weed-invaded and non-invaded sites. Sci. Rep. 10, 1–11 (2020).
    Google Scholar 
    Effah, E., Min Tun, K., Rangiwananga, N. & Clavijo McCormick, A. Mānuka clones differ in their volatile profiles: Potential implications for plant defence, pollinator attraction and bee products. Agronomy 12, 169 (2022).CAS 

    Google Scholar 
    Effah, E. et al. Natural variation in volatile emissions of the invasive weed Calluna vulgaris in New Zealand. Plants 9, 283 (2020).CAS 
    PubMed Central 

    Google Scholar 
    Team, R. C. R: A language and environment for statistical computing (R Foundation for Statistical Computing, 2021).Ripley, B. et al. Package ‘mass’. Cran r 538, 113–120 (2013).
    Google Scholar 
    Chen, B. M., Liao, H. X., Chen, W. B., Wei, H. J. & Peng, S. L. Role of allelopathy in plant invasion and control of invasive plants. Allelopathy J 41, 155–166 (2017).
    Google Scholar 
    Ninkovic, V., Markovic, D. & Rensing, M. Plant volatiles as cues and signals in plant communication. Plant Cell Environ. 44, 1030–1043 (2021).CAS 
    PubMed 

    Google Scholar 
    Holopainen, J. K. Multiple functions of inducible plant volatiles. Trends Plant Sci. 9, 529–533 (2004).CAS 
    PubMed 

    Google Scholar 
    Rhoades, D. F. Responses of alder and willow to attack by tent caterpillars and webworms: evidence for pheromonal sensitivity of willows. In Plant Resistance to Insects (ed. Hedin, P. A.) 55–68 (American Chemical Society, 1983).
    Google Scholar 
    Hedin, P. A. Plant Resistance to Insects (American Chemical Society, 1983).
    Google Scholar 
    Heil, M. & Karban, R. Explaining evolution of plant communication by airborne signals. Trends Ecol. Evol. 25, 137–144 (2010).PubMed 

    Google Scholar 
    Barbosa, P. et al. Associational resistance and associational susceptibility: Having right or wrong neighbors. Annu. Rev. Ecol. Evol. Syst. 40, 1 (2009).
    Google Scholar 
    Kigathi, R. N., Weisser, W. W., Veit, D., Gershenzon, J. & Unsicker, S. B. Plants suppress their emission of volatiles when growing with conspecifics. J. Chem. Ecol. 39, 537–545 (2013).CAS 
    PubMed 

    Google Scholar 
    Peñuelas, J. & Llusià, J. Influence of intra-and inter-specific interference on terpene emission by Pinus halepensis and Quercus ilex seedlings. Biol. Plant. 41, 139–143 (1998).
    Google Scholar 
    Ormeno, E., Fernandez, C. & Mévy, J.-P. Plant coexistence alters terpene emission and content of Mediterranean species. Phytochemistry 68, 840–852 (2007).CAS 
    PubMed 

    Google Scholar 
    Himanen, S. J. et al. Birch (Betula spp.) leaves adsorb and re-release volatiles specific to neighbouring plants—A mechanism for associational herbivore resistance?. New Phytol. 186, 722–732 (2010).CAS 
    PubMed 

    Google Scholar 
    Kessler, A. & Kalske, A. Plant secondary metabolite diversity and species interactions. Annu. Rev. Ecol. Evol. Syst. 49, 115–138 (2018).
    Google Scholar 
    Quintana-Rodriguez, E. et al. Plant volatiles cause direct, induced and associational resistance in common bean to the fungal pathogen Colletotrichum lindemuthianum. J. Ecol. 103, 250–260 (2015).CAS 

    Google Scholar 
    Loreto, F. & D’Auria, S. How do plants sense volatiles sent by other plants? Trends Plant Sci. (2021).Giordano, D., Facchiano, A., D’Auria, S. & Loreto, F. A hypothesis on the capacity of plant odorant-binding proteins to bind volatile isoprenoids based on in silico evidences. Elife 10, e66741 (2021).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Ninkovic, V., Markovic, D. & Dahlin, I. Decoding neighbour volatiles in preparation for future competition and implications for tritrophic interactions. Perspect. Plant Ecol. Evol. Syst. 23, 11–17 (2016).
    Google Scholar 
    Kegge, W. et al. Red: far-red light conditions affect the emission of volatile organic compounds from barley (Hordeum vulgare), leading to altered biomass allocation in neighbouring plants. Ann. Bot. 115, 961–970 (2015).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gershenzon, J. Metabolic costs of terpenoid accumulation in higher plants. J. Chem. Ecol. 20, 1281–1328 (1994).CAS 
    PubMed 

    Google Scholar 
    Anderson, P., Sadek, M., Larsson, M., Hansson, B. & Thöming, G. Larval host plant experience modulates both mate finding and oviposition choice in a moth. Anim. Behav. 85, 1169–1175 (2013).
    Google Scholar 
    Cunningham, J. P., Moore, C. J., Zalucki, M. P. & West, S. A. Learning, odour preference and flower foraging in moths. J. Exp. Biol. 207, 87–94 (2004).PubMed 

    Google Scholar 
    McCormick, A. C., Reinecke, A., Gershenzon, J. & Unsicker, S. B. Feeding experience affects the behavioral response of polyphagous gypsy moth caterpillars to herbivore-induced poplar volatiles. J. Chem. Ecol. 42, 382–393 (2016).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Proffit, M., Khallaf, M. A., Carrasco, D., Larsson, M. C. & Anderson, P. ‘Do you remember the first time?’ Host plant preference in a moth is modulated by experiences during larval feeding and adult mating. Ecol. Lett. 18, 365–374 (2015).PubMed 

    Google Scholar 
    Mayhew, P. J. Herbivore host choice and optimal bad motherhood. Trends Ecol. Evol. 16, 165–167 (2001).PubMed 

    Google Scholar 
    Jackson, T. et al. Anticipating the unexpected–managing pasture pest outbreaks after large-scale land conversion (New Zealand Grassland Association, 2012).Townsend, R. J., Dunbar, J. E. & Jackson, T. A. Flight behaviour of the manuka chafers, Pyronota festiva (Fabricius) and Pyronota setosa (Given) (Coleoptera: Melolonthinae), on the flipped soils of Cape Foulwind on the West Coast of New Zealand. N. Z. Plant Prot. 71, 255–261. https://doi.org/10.30843/nzpp.2018.71.175 (2018).Article 

    Google Scholar 
    Ferguson, C. M. et al. Quantifying the economic cost of invertebrate pests to New Zealand’s pastoral industry. N. Z. J. Agric. Res. 62, 255–315 (2019).
    Google Scholar 
    Cunningham, J. Can mechanism help explain insect host choice?. J. Evol. Biol. 25, 244–251 (2012).CAS 
    PubMed 

    Google Scholar 
    Syrett, P., Smith, L. A., Bourner, T. C., Fowler, S. V. & Wilcox, A. A European pest to control a New Zealand weed: Investigating the safety of heather beetle, Lochmaea suturalis (Coleoptera: Chrysomelidae) for biological control of heather, Calluna vulgaris. Bull. Entomol. Res. 90, 169–178. https://doi.org/10.1017/S0007485300000286 (2000).CAS 
    Article 
    PubMed 

    Google Scholar 
    Fowler, S., Harman, H., Memmott, J., Peterson, P. & Smith, L. In Proceedings of the XII International Symposium on Biological Control of Weeds (eds Julien, M. H. et al.) 495–502.Fowler, S. V. et al. Investigating the poor performance of heather beetle, Lochmaea suturalis (Thompson) (Coleoptera: Chrysomelidae), as a weed biocontrol agent in New Zealand: Has genetic bottlenecking resulted in small body size and poor winter survival?. Biol. Control 87, 32–38 (2015).
    Google Scholar 
    Effah, E. et al. Herbivory and attenuated UV radiation affect volatile emissions of the invasive weed Calluna vulgaris. Molecules 25, 3200 (2020).CAS 
    PubMed Central 

    Google Scholar 
    Pearson, D. E. & Callaway, R. M. Indirect nontarget effects of host-specific biological control agents: Implications for biological control. Biol. Control 35, 288–298 (2005).
    Google Scholar 
    Rand, T. A. & Louda, S. M. Exotic weed invasion increases the susceptibility of native plants to attack by a biocontrol herbivore. Ecology 85, 1548–1554. https://doi.org/10.1890/03-3067 (2004).Article 

    Google Scholar  More

  • in

    Effects of Chlorella extracts on growth of Capsicum annuum L. seedlings

    Deli, J., Matus, Z. & Tóth, G. Carotenoid composition in the fruits of asparagus officinalis. J. Agric. Food Chem. 48, 2793–2796 (2000).CAS 
    PubMed 

    Google Scholar 
    Howard, L. R., Talcott, S. T., Brenes, C. H. & Villalon, B. Changes in phytochemical and antioxidant activity of selected pepper cultivars (Capsicum species) as influenced by maturity. J. Agric. Food Chem. 48, 1713–1720 (2000).CAS 
    PubMed 

    Google Scholar 
    Odgerel, B. & Tserendulam, D. Effect of Chlorella as a biofertilizer on germination of wheat and barley grains. P. Mongolian Acad. Sci. 56(4), 26–31 (2016).
    Google Scholar 
    Sun, R. B., Guo, X. S., Wang, D. Z. & Chua, H. Y. Effects of long-term application of chemical and organic fertilizers on the abundance of microbial communities involved in the nitrogen cycle. Appl. Soil Ecol. 95(6), 171–178 (2015).
    Google Scholar 
    Yu, Y. Q., Luo, Z. B., Fu, H. & Jin, Y. Effect of balanced nutrient fertilizer: A case study in Pinggu District, Beijing China. Sci. Total Environ. 754, 1–8 (2021).
    Google Scholar 
    Ahmad, P. et al. Role of transgenic plants in agriculture and biopharming. Biotech. Adv. 30, 524–540 (2012).CAS 

    Google Scholar 
    Sherlock, R. & Morrey, J. D. Ethical Issues in Biotechnology (Rowman and Littlefield. Publishers, Inc., 2002).
    Google Scholar 
    Schiavon, M., Ertani, A. & Nardi, S. Effects of an alfalfa protein hydrolysate on the gene expression and activity of enzymes of TCA cycle and N metabolism in Zea mays L. J. Agric. Food Chem. 56, 11800–11808 (2008).CAS 
    PubMed 

    Google Scholar 
    Muscolo, A., Sidari, M. & Nardi, S. Humic substance: relationship between structure and activity. Deeper information suggests univocal findings. J. Geochem. Explor. 129, 57–63 (2013).CAS 

    Google Scholar 
    Nardi, S., Carletti, P., Pizzeghello, D., Muscolo, A. Biological activities of humic substances. In Biophysico-Chemical Processes Involving Natural Nonliving Organic Matter in Environmental Systems. PART I. Fundamentals and Impact of Mineral-Organic-Biota Interactions on the Formation, Transformation, Turnover, and Storage of Natural Nonliving Organic Matter (NOM). (Ed. Senesi, N., Xing, B., Huang, P.M.) 301–335 (John Wiley and Sons, Hoboken, 2009).Ertani, A., Nardi, S. & Altissimo, A. Review: long-term research activity on the biostimulant properties of natural origin compounds. Acta Hort. 1009, 181–188 (2013).
    Google Scholar 
    Ertani, A. et al. Biostimulant activity of two protein hydrolysates on the growth and nitrogen metabolism in maize seedlings. J. Plant Nutr. Soil Sci. 172, 237–244 (2009).CAS 

    Google Scholar 
    Vaccaro, S. et al. Effect of a compost and its water-soluble fractions on key enzymes of nitrogen metabolism in maize seedlings. J. Agric. Food Chem. 57, 11267–11276 (2009).CAS 
    PubMed 

    Google Scholar 
    Azcona, I. et al. Growth and development of pepper are affected by humic substances derived from composted sludge. J. Plant Nutr. Soil Sci. 174, 916–924 (2011).CAS 

    Google Scholar 
    Schiavon, M. et al. High molecular size humic substances enhance phenylpropanoid metabolism in maize (Zea mays L.). J. Chem. Ecol. 36, 662–669 (2010).CAS 
    PubMed 

    Google Scholar 
    Ertani, A., Schiavon, M., Muscolo, A. & Nardi, S. Alfalfa plant-derived biostimulant stimulates short-term growth of salt stressed Zea mays L. plants. Plant Soil 364, 145–158 (2013).CAS 

    Google Scholar 
    Pascual, I., Azcona, I., Morales, F., Aguirreolea, J. & Sanchez-Diaz, M. Growth, yield and physiology of verticillium-inoculated pepper plants treated with ATAD and composted sewage sludge. Plant Soil 319, 291–306 (2009).CAS 

    Google Scholar 
    Pascual, I. et al. Growth, yield and fruit quality of pepper plants amended with two sanitized sewage sludges. J. Agric. Food Chem. 58, 6951–6959 (2010).CAS 
    PubMed 

    Google Scholar 
    Kim, M. J., Shim, C. K., Kim, Y. K., Ko, B. G. & Kim, B. H. Effect of Biostimulator Chlorella fusca on improving growth and qualities of Chinese Chives and Spinach in organic farm. Plant Pathol. J. 34(6), 567–574 (2018).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Pulz, O. & Gross, W. Valuable products from biotechnology of microalgae. Appl. Microbiol. Biot. 65, 635–648 (2004).CAS 

    Google Scholar 
    Kim, S. J., Ko, E. J., Hong, J. K. & Jeun, Y. C. Ultrastructures of Colletotrichum orbiculare in cucumber leaves expressing systemic acquired resistance mediated by Chlorella fusca. Plant Pathol. J. 34(2), 113–120 (2018).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Faheed, F. A. & Abd-El Fattah, Z. Effect of Chlorella vulgaris as bio-fertilizer on growth parameters and metabolic aspects of Lettuce Plant. J. Agri. Soc. Sci. 4, 165–169 (2008).
    Google Scholar 
    Agwa, O. K., Ogugbue, C. J. & Williams, E. E. Field evidence of Chlorella vulgaris potentials as a biofertilizer for Hibiscus esculentus. Int. J. Agric. Res. 12(4), 181–189 (2017).CAS 

    Google Scholar 
    Ördög, V. et al. Screening microalgae for some potentially useful agricultural and pharmaceutical secondary metabolites. J. Appl. Physicol. 16, 309–401 (2004).
    Google Scholar 
    Stirk, W. A., Novák, O., Strnad, M. & van Staden, J. Cytokinins in macroalgae. Plant Growth Regul. 41, 13–24 (2003).CAS 

    Google Scholar 
    Kholssi, R., Marks, E. A. N., Montero, J. M. O., Debdoubi, A. & Rad, C. Biofertilizing effect of Chlorella sorokiniana suspensions on wheat growth. J. Plant Growth Regul. 38, 644–649 (2019).CAS 

    Google Scholar 
    Stirk, W. A., Ördög, V., Van Staden, J. & Jäger, K. Cytokinin-and auxin-like activity in Cyanophyta and microalgae. J. Appl. Phycol. 14, 215–221 (2002).CAS 

    Google Scholar 
    Park, E. R., Jo, J. O., Kim, S. M., Lee, M. Y. & Kim, K. S. Volatile flavor component of leek (Allium tuberosum Rotter). J. Korean Soc. Food Sci. Nutr. 27, 563–567 (1998) ((in Korean)).CAS 

    Google Scholar 
    Jin, H. et al. Ultrahigh-cell-density heterotrophic cultivation of the unicellular green microalga Scenedesmus acuminatus and application of the cells to photoautotrophic culture enhance biomass and lipid production. Biotechnol. Bioeng. 117, 96–108 (2020).CAS 
    PubMed 

    Google Scholar 
    Kim, M. J., Shim, C. K., Kim, Y. K., Hong, S. J. & Kim, S. C. Isolation and morphological identification of fresh water green algae from organic farming habitats in Korea. Korean J. Org. Agric. 22, 743–760 (2014).
    Google Scholar 
    Li, L., Tian, S. L., Jiang, J. & Wang, Y. Regulation of nitric oxide to Capsicum under lower light intensities. S. Afr. J. Bot. 132, 268–276 (2020).CAS 

    Google Scholar 
    Cho, Y. Y., Oh, S. B., Oh, M. M. & Son, J. E. Estimation of individual leaf area, fresh weight, and dry weight of hydroponically grown cucumbers (Cucumis sativus L.) using leaf length, width, and SPAD value. Sci. Hortic-Amst. 111, 330–334 (2007).
    Google Scholar 
    Oster, U., Tanaka, R., Tanaka, A. & Rudiger, W. Cloning and functional expression of gene encoding the key enzyme for chlorophyll b biosynthesis (CAO) from Arabidopsis thaliana. Plant J. 21(3), 305–310 (2000).CAS 
    PubMed 

    Google Scholar 
    Bradford, M. M. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem. 72(1–2), 248–254 (1976).CAS 
    PubMed 

    Google Scholar  More

  • in

    Microbial invasion of a toxic medium is facilitated by a resident community but inhibited as the community co-evolves

    Thakur MP, van der Putten WH, Cobben MMP, van Kleunen M, Geisen S. Microbial invasions in terrestrial ecosystems. Nat Rev Microbiol. 2019;17:621–31.CAS 
    PubMed 
    Article 

    Google Scholar 
    Mooney HA, Cleland EE. The evolutionary impact of invasive species. Proc Natl Acad Sci USA. 2001;98:5446–51.CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Mallon CA, Elsas JDV, Salles JF. Microbial invasions: the process, patterns, and mechanisms. Trends Microbiol. 2015;23:719–29.CAS 
    PubMed 
    Article 

    Google Scholar 
    O’Brien S, Hodgson DJ, Buckling A. Social evolution of toxic metal bioremediation in Pseudomonas aeruginosa. Proc R Soc B Biol Sci. 2014;281:20140858.Walter J, Maldonado-Gómez MX, Martínez I. To engraft or not to engraft: an ecological framework for gut microbiome modulation with live microbes. Curr Opin Biotechnol. 2018;49:129–39.CAS 
    PubMed 
    Article 

    Google Scholar 
    van der Goot E, van Spronsen FJ, Falcão Salles J, van der Zee EA. A microbial community ecology perspective on the gut-microbiome-brain axis. Front Endocrinol. 2020;11:611.Article 

    Google Scholar 
    Williamson M, Fitter A. The varying success of invaders. Ecology. 1996;77:1661–6.Article 

    Google Scholar 
    Catford JA, Jansson R, Nilsson C. Reducing redundancy in invasion ecology by integrating hypotheses into a single theoretical framework. Divers Distrib. 2009;15:22–40.Article 

    Google Scholar 
    Simberloff D. The role of propagule pressure in biological invasions. Annu Rev Ecol Evol Syst. 2009;40:81–102.Article 

    Google Scholar 
    Acosta F, Zamor RM, Najar FZ, Roe BA, Hambright KD. Dynamics of an experimental microbial invasion. Proc Natl Acad Sci USA. 2015;112:11594–9.CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Barney JN, Ho MW, Atwater DZ. Propagule pressure cannot always overcome biotic resistance: the role of density-dependent establishment in four invasive species. Weed Res. 2016;56:208–18.Article 

    Google Scholar 
    Ketola T, Saarinen K, Lindström L. Propagule pressure increase and phylogenetic diversity decrease community’s susceptibility to invasion. BMC Ecol. 2017;17:1–7.Article 

    Google Scholar 
    Vila JCC, Jones ML, Patel M, Bell T, Rosindell J. Uncovering the rules of microbial community invasions. Nat Ecol Evol. 2019;3:1162–71.PubMed 
    Article 

    Google Scholar 
    Dressler MD, Conde J, Eldakar OT, Smith RP. Timing between successive introduction events determines establishment success in bacteria with an Allee effect. Proc R Soc B Biol Sci. 2019;286:20190598.CAS 
    Article 

    Google Scholar 
    Jones ML, Rivett DW, Pascual-Garria A, Bell T. Relationships between community composition, productivity and invasion resistance in semi-natural bacterial microcosms. eLife. 2021;10:e71811.CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Rivett DW, Jones ML, Ramoneda J, Mombrikotb SB, Ransome E, Bell T. Elevated success of multispecies bacterial invasions impacts community composition during ecological succession. Ecol Lett. 2018;21:516–24.PubMed 
    Article 

    Google Scholar 
    Case TJ. Invasion resistance arises in strongly interacting species-rich model competition communities. Proc Natl Acad Sci USA. 1990;87:9610–4.CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Jousset A, Schulz W, Scheu S, Eisenhauer N. Intraspecific genotypic richness and relatedness predict the invasibility of microbial communities. ISME J. 2011;5:1108–14.PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Eisenhauer N, Scheu S, Jousset A. Bacterial diversity stabilizes community productivity. PLoS ONE. 2012;7:e34517.Wei Z, Yang T, Friman VP, Xu Y, Shen Q, Jousset A. Trophic network architecture of root-associated bacterial communities determines pathogen invasion and plant health. Nat Comm. 2015;6:8413.CAS 
    Article 

    Google Scholar 
    Amalfitano S, Coci M, Corno G, Luna GM. A microbial perspective on biological invasions in aquatic ecosystems. Hydrobiologia. 2015;746:13–22.Article 

    Google Scholar 
    Li SP, Tan J, Yang X, Ma C, Jiang L. Niche and fitness differences determine invasion success and impact in laboratory bacterial communities. ISME J. 2019;13:402–12.PubMed 
    Article 

    Google Scholar 
    Baumgartner M, Pfrunder-Cardozo KR, Hall AR. Microbial community composition interacts with local abiotic conditions to drive colonization resistance in human gut microbiome samples. Proc R Soc B Biol Sci. 2021;288:20203106.CAS 
    Article 

    Google Scholar 
    Kurkjian HM, Akbari MJ, Momeni B. The impact of interactions on invasion and colonization resistance in microbial communities. PLoS Comp Biol. 2021;17:e1008643.CAS 
    Article 

    Google Scholar 
    Tilman D. Niche tradeoffs, neutrality, and community structure: a stochastic theory of resource competition, invasion, and community assembly. Proc Natl Acad Sci USA. 2004;101:10854–61.CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    van Elsas JD, Chiurazzi M, Mallon CA, Elhottova D, Kristufek V, Salles JF. Microbial diversity determines the invasion of soil by a bacterial pathogen. Proc Natl Acad Sci USA. 2012;109:1159–64.PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Foster KR, Bell T. Competition, not cooperation, dominates interactions among culturable microbial species. Curr Biol. 2012;22:1845–50.CAS 
    PubMed 
    Article 

    Google Scholar 
    Mitri S, Foster KR. The genotypic view of social interactions in microbial communities. Annu Rev Microbiol. 2013;43:247–73.
    Google Scholar 
    Kehe J, Ortiz A, Kulesa A, Gore J, Blainey PC, Friedman J. Positive interactions are common among culturable bacteria. Sci Adv. 2021;7:7159.Article 
    CAS 

    Google Scholar 
    Connell JH, Slatyer RO. Mechanisms of succession in natural communities and their role in community stability and organization. Am Nat. 1977;111:1119–44.Article 

    Google Scholar 
    Debray R, Socolar Y, Kaulbach G, Guzman A, Hernandez CA, Curley R, et al. Priority effects in microbiome assembly. Nat Rev Microbiol. 2022;20:109–21.CAS 
    PubMed 
    Article 

    Google Scholar 
    Datta MS, Sliwerska E, Gore J, Polz MF, Cordero OX. Microbial interactions lead to rapid micro-scale successions on model marine particles. Nat Commun. 2016;7:11965.CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Enke TN, Datta MS, Schwartzman J, Cermak N, Schmitz D, Barrere J, et al. Modular assembly of polysaccharide-degrading marine microbial communities. Curr Biol. 2019;29:1528–35.e6.CAS 
    PubMed 
    Article 

    Google Scholar 
    Mazumdar V, Amar S, Segrè D. Metabolic proximity in the order of colonization of a microbial community. PLoS ONE. 2013;8:e77617.CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Gralka M, Szabo R, Stocker R, Cordero OX. Trophic interactions and the drivers of microbial community assembly. Curr Biol. 2020;30:R1176–88.CAS 
    PubMed 
    Article 

    Google Scholar 
    Rickard AH, Gilbert P, High NJ, Kolenbrander PE, Handley PS. Bacterial coaggregation: an integral process in the development of multi-species biofilms. Trends Microbiol. 2003;11:94–100.CAS 
    PubMed 
    Article 

    Google Scholar 
    Kolenbrander PE, Palmer RJ, Periasamy S, Jakubovics NS. Oral multispecies biofilm development and the key role of cell–cell distance. Nat Rev Microbiol. 2010;8:471–80.CAS 
    PubMed 
    Article 

    Google Scholar 
    Monier JM, Lindow SE. Aggregates of resident bacteria facilitate survival of immigrant bacteria on leaf surfaces. Micro Ecol. 2005;49:343–52.Article 

    Google Scholar 
    Poza-Carrion C, Suslow T, Lindow S. Resident bacteria on leaves enhance survival of immigrant cells of Salmonella enterica. Phytopathology. 2013;103:341–51.PubMed 
    Article 

    Google Scholar 
    Li M, Wei Z, Wang J, Jousset A, Friman V, Xu Y, et al. Facilitation promotes invasions in plant-associated microbial communities. Ecol Lett. 2019;22:149–58.PubMed 
    Article 

    Google Scholar 
    Estrela S, Vila JCC, Lu N, Bajić D, Rebolleda-Gómez M, Chang CY, et al. Functional attractors in microbial community assembly. Cell Syst. 2022;13:29–42.e7.CAS 
    PubMed 
    Article 

    Google Scholar 
    Bertness MD, Callaway R. Positive interactions in communities. Trends Ecol Evol. 1994;9:191–3.CAS 
    PubMed 
    Article 

    Google Scholar 
    Zaneveld JR, McMinds R, Thurber RV. Stress and stability: applying the Anna Karenina principle to animal microbiomes. Nat Microbiol. 2017;2:1–8.Article 
    CAS 

    Google Scholar 
    de Vries FT, Griffiths RI, Bailey M, Craig H, Girlanda M, Gweon HS, et al. Soil bacterial networks are less stable under drought than fungal networks. Nat Commun. 2018;9:3033.PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Goldford JE, Lu N, Bajić D, Estrela S, Tikhonov M, Sanchez-Gorostiaga A, et al. Emergent simplicity in microbial community assembly. Science. 2018;361:469–74.CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Nguyen LTT, Broughton K, Osanai Y, Anderson IC, Bange MP, Tissue DT, et al. Effects of elevated temperature and elevated CO2 on soil nitrification and ammonia-oxidizing microbial communities in field-grown crop. Sci Total Environ. 2019;675:81–9.CAS 
    PubMed 
    Article 

    Google Scholar 
    Piccardi P, Vessman B, Mitri S. Toxicity drives facilitation between 4 bacterial species. Proc Natl Acad Sci USA. 2019;116:15979–84.CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Hernandez DJ, David AS, Menges ES, Searcy CA, Afkhami ME. Environmental stress destabilizes microbial networks. ISME J. 2021;15:1722–34.PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Urban MC, De Meester L. Community monopolization: Local adaptation enhances priority effects in an evolving metacommunity. Proc R Soc B Biol Sci. 2009;276:4129–38.Article 

    Google Scholar 
    Vanoverbeke J, Urban MC, De Meester L. Community assembly is a race between immigration and adaptation: eco-evolutionary interactions across spatial scales. Ecography. 2016;39:858–70.Article 

    Google Scholar 
    De Meester L, Vanoverbeke J, Kilsdonk LJ, Urban MC. Evolving perspectives on monopolization and priority effects. Trends Ecol Evol. 2016;31:136–46.PubMed 
    Article 

    Google Scholar 
    Loeuille N, Leibold MA. Evolution in metacommunities: on the relative importance of species sorting and monopolization in structuring communities. Am Nat. 2008;171:788–99.PubMed 
    Article 

    Google Scholar 
    Nadeau CP, Farkas TE, Makkay AM, Papke RT, Urban MC. Adaptation reduces competitive dominance and alters community assembly. Proc R Soc B Biol Sci. 2021;288:20203133.Article 

    Google Scholar 
    Faillace CA, Morin PJ. Evolution alters the consequences of invasions in experimental communities. Nat Ecol Evol. 2017;1:0013.Article 

    Google Scholar 
    Castledine M, Sierocinski P, Padfield D, Buckling A. Community coalescence: an eco-evolutionary perspective. Philos Trans R Soc B Biol Sci. 2020;375:20190252.Article 

    Google Scholar 
    Amor DR, Ratzke C, Gore J. Transient invaders can induce shifts between alternative stable states of microbial communities. Sci Adv. 2020;6:eaay8676.CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    van der Gast CJ, Thompson IP. Effects of pH amendment on metal working fluid wastewater biological treatment using a defined bacterial consortium. Biotechnol Bioeng. 2005;89:357–66.PubMed 
    Article 
    CAS 

    Google Scholar 
    Saha R, Donofrio RS. The microbiology of metalworking fluids. Appl Microbiol Biotechnol. 2012;94:1119–30.CAS 
    PubMed 
    Article 

    Google Scholar 
    Ratzke C, Barrere J, Gore J. Strength of species interactions determines biodiversity and stability in microbial communities. Nat Ecol Evol. 2020;4:376–83.PubMed 
    Article 

    Google Scholar 
    Estrela S, Libby E, Van Cleve J, Débarre F, Deforet M, Harcombe WR, et al. Environmentally mediated social eilemmas. Trends Ecol Evol. 2019;34:6–18.PubMed 
    Article 

    Google Scholar 
    Enke TN, Leventhal GE, Metzger M, Saavedra JT, Cordero OX. Microscale ecology regulates particulate organic matter turnover in model marine microbial communities. Nat Commun. 2018;9:2743.PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Furman O, Shenhav L, Sasson G, Kokou F, Honig H, Jacoby S, et al. Stochasticity constrained by deterministic effects of diet and age drive rumen microbiome assembly dynamics. Nat Commun. 2020;11:1–13.Article 
    CAS 

    Google Scholar 
    Coyte KZ, Rao C, Rakoff-Nahoum S, Foster KR. Ecological rules for the assembly of microbiome communities. PLoS Biol. 2021;19:e3001116.CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Molinero N, Ruiz L, Sánchez B, Margolles A, Delgado S. Intestinal bacteria interplay with bile and cholesterol metabolism: implications on host physiology. Front Physiol. 2019;10:185.PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Ruiz L, Margolles A, Sánchez B. Bile resistance mechanisms in Lactobacillus and Bifidobacterium. Front Microbiol. 2013;4:396.PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Gérard P. Metabolism of cholesterol and bile acids by the gut microbiota. Pathogens. 2013;3:14–24.PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Amarnath K, Narla AV, Pontrelli S, Dong J, Caglar T, Taylor BR, et al. Stress-induced cross-feeding of internal metabolites provides a dynamic mechanism of microbial cooperation. bioRxiv. 2021. https://doi.org/10.1101/2021.06.24.449802.Fukami T, Beaumont HJ, Zhang XX, Rainey PB. Immigration history controls diversification in experimental adaptive radiation. Nature. 2007;446:436–9.CAS 
    PubMed 
    Article 

    Google Scholar 
    Bell T, Newman JA, Silverman BW, Turner SL, Lilley AK. The contribution of species richness and composition to bacterial services. Nature. 2005;436:1157–60.CAS 
    PubMed 
    Article 

    Google Scholar 
    Ghoul M, Mitri S. The ecology and evolution of microbial competition. Trends Microbiol. 2016;24:833–45.CAS 
    PubMed 
    Article 

    Google Scholar 
    Fukami T. Historical contingency in community assembly: integrating niches, species pools, and priority effects. Annu Rev Ecol Evol Syst. 2015;46:1–23.Article 

    Google Scholar  More