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    Mechanisms of woody-plant mortality under rising drought, CO2 and vapour pressure deficit

    van Mantgem, P. J. et al. Widespread increase of tree mortality rates in the western United States. Science 323, 521–524 (2009).
    Google Scholar 
    Peng, C. et al. A drought-induced pervasive increase in tree mortality across Canada’s boreal forests. Nat. Clim. Chang. 1, 467–471 (2011).
    Google Scholar 
    Brienen, R. J. et al. Long-term decline of the Amazon carbon sink. Nature 519, 344–348 (2015).
    Google Scholar 
    Klein, T., Cahanovitc, R., Sprintsin, M., Herr, N. & Schiller, G. A nation-wide analysis of tree mortality under climate change: forest loss and its causes in Israel 1948–2017. For. Ecol. Manag. 432, 840–849 (2019).
    Google Scholar 
    Yu, K. et al. Pervasive decreases in living vegetation carbon turnover time across forest climate zones. Proc. Natl Acad. Sci. USA 116, 24662–24667 (2019).
    Google Scholar 
    Hubau, W. et al. Asynchronous carbon sink saturation in African and Amazonian tropical forests. Nature 579, 80–87 (2020).
    Google Scholar 
    Kharuk, V. I. et al. Climate-driven conifer mortality in Siberia. Glob. Ecol. Biogeogr. 30, 543–556 (2021).
    Google Scholar 
    Breshears, D. D. et al. Regional vegetation die-off in response to global-change-type drought. Proc. Natl Acad. Sci. USA 102, 15144–15148 (2005).
    Google Scholar 
    Lewis, S. L., Brando, P. M., Phillips, O. L., van der Heijden, G. M. & Nepstad, D. The 2010 amazon drought. Science 331, 554 (2011).
    Google Scholar 
    Ruthrof, K. X. et al. Subcontinental heat wave triggers terrestrial and marine, multi-taxa responses. Sci. Rep. 8, 13094 (2018).
    Google Scholar 
    Senf, C. et al. Canopy mortality has doubled in Europe’s temperate forests over the last three decades. Nat. Commun. 9, 4978 (2018).
    Google Scholar 
    Schuldt, B. et al. A first assessment of the impact of the extreme 2018 summer drought on Central European forests. Basic Appl. Ecol. 45, 86–103 (2020).
    Google Scholar 
    Kannenberg, S. A., Driscoll, A. W., Malesky, D. & Anderegg, W. R. Rapid and surprising dieback of Utah juniper in the southwestern USA due to acute drought stress. For. Ecol. Manag. 480, 118639 (2021).
    Google Scholar 
    Allen, C. D., Breshears, D. D. & McDowell, N. G. On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene. Ecosphere 6, 1–55 (2015).
    Google Scholar 
    Powers, J. S. et al. A catastrophic tropical drought kills hydraulically vulnerable tree species. Glob. Change Biol. 26, 3122–3133 (2020).
    Google Scholar 
    Werner, W. L. Canopy dieback in the upper montane rain forests of Sri Lanka. GeoJournal 17, 245–248 (1988).
    Google Scholar 
    Feldpausch, T. R. et al. Amazon forest response to repeated droughts. Glob. Biogeochem. Cycles 30, 964–982 (2016).
    Google Scholar 
    Esquivel-Muelbert, A. et al. Tree mode of death and mortality risk factors across Amazon forests. Nat. Commun. 11, 5515 (2020).
    Google Scholar 
    Werner, R. A. & Holsten, E. H. Mortality of white spruce during a spruce beetle outbreak on the Kenai Peninsula in Alaska. Can. J. For. Res. 13, 96–101 (1983).
    Google Scholar 
    Suarez, M. L., Ghermandi, L. & Kitzberger, T. Factors predisposing episodic drought-induced tree mortality in Nothofagus: site, climatic sensitivity and growth trends. J. Ecol. 92, 954–966 (2004).
    Google Scholar 
    Swemmer, A. M. Locally high, but regionally low: the impact of the 2014–2016 drought on the trees of semi-arid savannas, South Africa. Afr. J. Range Forage Sci. 37, 31–42 (2020).
    Google Scholar 
    Michaelian, M., Hogg, E. H., Hall, R. J. & Arsenault, E. Massive mortality of aspen following severe drought along the southern edge of the Canadian boreal forest. Glob. Chang Biol. 17, 2084–2094 (2011).
    Google Scholar 
    Kharuk, V. I. et al. Climate-induced mortality of Siberian pine and fir in the Lake Baikal Watershed, Siberia. For. Ecol. Manag. 384, 191–199 (2017).
    Google Scholar 
    Kharuk, V. I., Ranson, K. J., Oskorbin, P. A., Im, S. T. & Dvinskaya, M. L. Climate induced birch mortality in Trans-Baikal lake region, Siberia. For. Ecol. Manag. 289, 385–392 (2013).
    Google Scholar 
    Crouchet, S. E., Jensen, J., Schwartz, B. F. & Schwinning, S. Tree mortality after a hot drought: distinguishing density-dependent and -independent drivers and why it matters. Front. For. Glob. Change 2, 21 (2019).
    Google Scholar 
    Breshears, D. D. et al. The critical amplifying role of increasing atmospheric moisture demand on tree mortality and associated regional die-off. Front. Plant Sci. 4, 266 (2013).
    Google Scholar 
    Grossiord, C. et al. Plant responses to rising vapor pressure deficit. New Phytol. 226, 1550–1566 (2020).
    Google Scholar 
    Trenberth, K. E. et al. Global warming and changes in drought. Nat. Clim. Chang. 4, 17–22 (2014).
    Google Scholar 
    Williams, A. P. et al. Temperature as a potent driver of regional forest drought stress and tree mortality. Nat. Clim. Chang. 3, 292–297 (2013).
    Google Scholar 
    Xu, C. et al. Increasing impacts of extreme droughts on vegetation productivity under climate change. Nat. Clim. Chang. 9, 948–953 (2019).
    Google Scholar 
    Dore, M. H. Climate change and changes in global precipitation patterns: what do we know? Environ. Int. 31, 1167–1181 (2005).
    Google Scholar 
    Ukkola, A. M., De Kauwe, M. G., Roderick, M. L., Abramowitz, G. & Pitman, A. J. Robust future changes in meteorological drought in CMIP6 projections despite uncertainty in precipitation. Geophys. Res. Lett. 31, e2020GL087820 (2020).
    Google Scholar 
    Breshears, D. D. et al. Underappreciated plant vulnerabilities to heat waves. New Phytol. 231, 32–39 (2021).
    Google Scholar 
    Adams, H. D. et al. Temperature response surfaces for mortality risk of tree species with future drought. Environ. Res. Lett. 12, 115014 (2017).
    Google Scholar 
    McDowell, N. G. et al. Multi-scale predictions of massive conifer mortality due to chronic temperature rise. Nat. Clim. Chang. 6, 295–300 (2016).
    Google Scholar 
    Keenan, T. F. et al. Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations rise. Nature 499, 324–327 (2013).
    Google Scholar 
    Walker, A. P. et al. Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO2. New Phytol. 229, 2413–2445 (2020).
    Google Scholar 
    Long, S. P. Modification of the response of photosynthetic productivity to rising temperature by atmospheric CO2 concentrations: has its importance been underestimated? Plant Cell Environ. 14, 729–739 (1991).
    Google Scholar 
    Hickler, T. et al. CO2 fertilization in temperate FACE experiments not representative of boreal and tropical forests. Glob. Change Biol. 14, 1531–1542 (2008).
    Google Scholar 
    Baig, S., Medlyn, B. E., Mercado, L. & Zaehle, S. Does the growth response of woody plants to elevated CO2 increase with temperature? A model-oriented meta-analysis. Glob. Change Biol. 21, 4303–4319 (2015).
    Google Scholar 
    Peñuelas, J. et al. Shifting from a fertilization-dominated to a warming-dominated period. Nat. Ecol. Evol. 1, 1438–1445 (2017).
    Google Scholar 
    Belmecheri, S. et al. Precipitation alters the CO2 effect on water-use efficiency of temperate forests. Glob. Change Biol. 27, 1560–1571 (2021).
    Google Scholar 
    Duffy, K. A. et al. How close are we to the temperature tipping point of the terrestrial biosphere? Sci. Adv. 7, eaay1052 (2021).
    Google Scholar 
    De Kauwe, M. G., Medlyn, B. E. & Tissue, D. T. To what extent can rising [CO2] ameliorate plant drought stress? New Phytol. 231, 2118–2124 (2021).
    Google Scholar 
    Martınez-Vilalta, J., Piñol, J. & Beven, K. A hydraulic model to predict drought-induced mortality in woody plants: an application to climate change in the Mediterranean. Ecol. Model. 155, 127–147 (2002).
    Google Scholar 
    McDowell, N. et al. Mechanisms of plant survival and mortality during drought: why do some plants survive while others succumb to drought? New Phytol. 178, 719–739 (2008).
    Google Scholar 
    McDowell, N. G. et al. The interdependence of mechanisms underlying climate-driven vegetation mortality. Trends Ecol. Evol. 26, 523–532 (2011).
    Google Scholar 
    Adams, H. D. et al. A multi-species synthesis of physiological mechanisms in drought-induced tree mortality. Nat. Ecol. Evol. 1, 1285–1291 (2017).
    Google Scholar 
    Fisher, R. et al. Assessing uncertainties in a second-generation dynamic vegetation model caused by ecological scale limitations. New Phytol. 187, 666–681 (2010).
    Google Scholar 
    McDowell, N. G. et al. Evaluating theories of drought-induced vegetation mortality using a multimodel–experiment framework. New Phytol. 200, 304–321 (2013).
    Google Scholar 
    Anderegg, W. R. L. et al. Hydraulic diversity of forests regulates ecosystem resilience during drought. Nature 561, 538–541 (2018).
    Google Scholar 
    Christoffersen, B. O. et al. Linking hydraulic traits to tropical forest function in a size-structured and trait-driven model (TFS v. 1-Hydro). Geosci. Model Dev. 9, 4227–4255 (2016).
    Google Scholar 
    Kennedy, D. et al. Implementing plant hydraulics in the community land model, version 5. J. Adv. Model. Earth Syst. 11, 485–513 (2019).
    Google Scholar 
    Koven, C. D. et al. Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado Island, Panama. Biogeosciences 17, 3017–3044 (2020).
    Google Scholar 
    Anderegg, W. R., Kane, J. M. & Anderegg, L. D. Consequences of widespread tree mortality triggered by drought and temperature stress. Nat. Clim. Chang. 3, 30–36 (2013).
    Google Scholar 
    Hartmann, H. et al. Research frontiers for improving our understanding of drought-induced tree and forest mortality. New Phytol. 218, 15–28 (2018).
    Google Scholar 
    Adams, H. D. et al. Ecohydrological consequences of drought- and infestation-triggered tree die-off: insights and hypotheses. Ecohydrology 5, 145–159 (2012).
    Google Scholar 
    Bearup, L. A., Maxwell, R. M., Clow, D. W. & McCray, J. E. Hydrological effects of forest transpiration loss in bark beetle-impacted watersheds. Nat. Clim. Chang. 4, 481–486 (2014).
    Google Scholar 
    Bennett, K. E. et al. Climate-driven disturbances in the San Juan River sub-basin of the Colorado River. Hydrol. Earth Syst. Sci. 22, 709–725 (2018).
    Google Scholar 
    Lutz, J. A. & Halpern, C. B. Tree mortality during early forest development: a long-term study of rates, causes, and consequences. Ecol. Monogr. 76, 257–275 (2006).
    Google Scholar 
    Clark, J. S. et al. The impacts of increasing drought on forest dynamics, structure, and biodiversity in the United States. Glob. Change Biol. 22, 2329–2352 (2016).
    Google Scholar 
    McDowell, N. G. et al. Pervasive shifts in forest dynamics in a changing world. Science 368, eaaz9463 (2020).
    Google Scholar 
    Waring, K. M. et al. Modeling the impacts of two bark beetle species under a warming climate in the southwestern USA: ecological and economic consequences. Environ. Manag. 44, 824–835 (2009).
    Google Scholar 
    Barigah, T. S. et al. Water stress-induced xylem hydraulic failure is a causal factor of tree mortality in beech and poplar. Ann. Bot. 112, 1431–1437 (2013).
    Google Scholar 
    Guadagno, C. R. et al. Dead or alive? Using membrane failure and chlorophyll a fluorescence to predict plant mortality from drought. Plant Physiol. 175, 223–234 (2017).
    Google Scholar 
    Hammond, W. M. et al. Dead or dying? Quantifying the point of no return from hydraulic failure in drought-induced tree mortality. New Phytol. 223, 1834–1843 (2019).
    Google Scholar 
    Sapes, G. et al. Plant water content integrates hydraulics and carbon depletion to predict drought-induced seedling mortality. Tree Physiol. 39, 1300–1312 (2019).
    Google Scholar 
    Mantova, M., Menezes-Silva, P. E., Badel, E., Cochard, H. & Torres-Ruiz, J. M. The interplay of hydraulic failure and cell vitality explains tree capacity to recover from drought. Physiol. Plant. 172, 247–257 (2021).
    Google Scholar 
    Kono, Y. et al. Initial hydraulic failure followed by late-stage carbon starvation leads to drought-induced death in the tree Trema orientalis. Commun. Biol. 2, 8 (2019).
    Google Scholar 
    Preisler, Y. et al. Seeking the “point of no return” in the sequence of events leading to mortality of mature trees. Plant Cell Environ. 44, 1315–1328 (2020).
    Google Scholar 
    Allen, C. D. et al. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. For. Ecol. Manag. 259, 660–684 (2010).
    Google Scholar 
    Bennett, A. C. et al. Resistance of African tropical forests to an extreme climate anomaly. Proc. Natl Acad. Sci. USA 118, e2003169118 (2021).
    Google Scholar 
    McDowell, N. G. & Allen, C. D. Darcy’s law predicts widespread forest mortality under climate warming. Nat. Clim. Chang. 5, 669–672 (2015).
    Google Scholar 
    Stephenson, N. L. & van Mantgem, P. J. Forest turnover rates follow global and regional patterns of productivity. Ecol. Lett. 8, 524–531 (2005).
    Google Scholar 
    Zhu, K. C. et al. Dual impacts of climate change: forest migration and turnover through life history. Glob. Change Biol. 20, 251–264 (2014).
    Google Scholar 
    Jump, A. S. et al. Structural overshoot of tree growth with climate variability and the global spectrum of drought-induced forest dieback. Glob. Change Biol. 23, 3742–3757 (2017).
    Google Scholar 
    Trugman, A. T. et al. Tree carbon allocation explains forest drought-kill and recovery patterns. Ecol. Lett. 21, 1552–1560 (2018).
    Google Scholar 
    Hartmann, H. et al. Climate change risks to global forest health – emergence of unexpected events of elevated tree mortality world-wide. Annu. Rev. Plant Biol. https://doi.org/10.1146/annurev-arplant-102820-012804 (2022).Article 

    Google Scholar 
    Manion, P. D. Tree Disease Concepts (Prentice-Hall, 1981)Brodribb, T. J. Learning from a century of droughts. Nat. Ecol. Evol. 4, 1007–1008 (2020).
    Google Scholar 
    Anderegg, W. R. et al. Tree mortality from drought, insects, and their interactions in a changing climate. New Phytol. 208, 674–683 (2015).
    Google Scholar 
    Huang, J. et al. Tree defence and bark beetles in a drying world: carbon partitioning, functioning and modelling. New Phytol. 225, 26–36 (2019).
    Google Scholar 
    Martinez-Vilalta, J., Anderegg, W. R., Sapes, G. & Sala, A. Greater focus on water pools may improve our ability to understand and anticipate drought-induced mortality in plants. New Phytol. 223, 22–32 (2019).
    Google Scholar 
    Cuneo, I. F., Knipfer, T., Brodersen, C. R. & McElrone, A. J. Mechanical failure of fine root cortical cells initiates plant hydraulic decline during drought. Plant Physiol. 172, 1669–1678 (2016).
    Google Scholar 
    Johnson, D. M. et al. Co-occurring woody species have diverse hydraulic strategies and mortality rates during an extreme drought. Plant Cell Environ. 41, 576–588 (2018).
    Google Scholar 
    Cochard, H. A new mechanism for tree mortality due to drought and heatwaves. Peer Community J. 1, e36 (2021).
    Google Scholar 
    Duursma, R. A. et al. On the minimum leaf conductance: its role in models of plant water use, and ecological and environmental controls. New Phytol. 221, 693–705 (2019).
    Google Scholar 
    Beckett, R. P. Pressure–volume analysis of a range of poikilohydric plants implies the existence of negative turgor in vegetative cells. Ann. Bot. 79, 145–152 (1997).
    Google Scholar 
    Ding, Y., Zhang, Y., Zheng, Q. S. & Tyree, M. T. Pressure–volume curves: revisiting the impact of negative turgor during cell collapse by literature review and simulations of cell micromechanics. New Phytol. 203, 378–387 (2014).
    Google Scholar 
    Sperry, J. S., Adler, F. R., Campbell, G. S. & Comstock, J. P. Limitation of plant water use by rhizosphere and xylem conductance: results from a model. Plant Cell Environ. 21, 347–359 (1998).
    Google Scholar 
    Rodriguez-Dominguez, C. M. & Brodribb, T. J. Declining root water transport drives stomatal closure in olive under moderate water stress. New Phytol. 225, 126–134 (2020).
    Google Scholar 
    Carminati, A. & Javaux, M. Soil rather than xylem vulnerability controls stomatal response to drought. Trends Plant Sci. 25, 868–880 (2020).
    Google Scholar 
    Maseda, P. H. & Fernandez, R. J. Stay wet or else: three ways in which plants can adjust hydraulically to their environment. J. Exp. Bot. 57, 3963–3977 (2006).
    Google Scholar 
    Plaut, J. A. et al. Hydraulic limits preceding mortality in a piñon–juniper woodland under experimental drought. Plant Cell Environ. 35, 1601–1617 (2012).
    Google Scholar 
    Creek, D. et al. Xylem embolism in leaves does not occur with open stomata: evidence from direct observations using the optical visualization technique. J. Exp. Bot. 71, 1151–1159 (2020).
    Google Scholar 
    Choat, B. et al. Triggers of tree mortality under drought. Nature 558, 531–539 (2018).
    Google Scholar 
    Hammond, W. M. & Adams, H. D. Dying on time: traits influencing the dynamics of tree mortality risk from drought. Tree Physiol. 39, 906–909 (2019).
    Google Scholar 
    Körner, C. No need for pipes when the well is dry — a comment on hydraulic failure in trees. Tree Physiol. 39, 695–700 (2019).
    Google Scholar 
    Machado, R. et al. Where do leaf water leaks come from? Trade-offs underlying the variability in minimum conductance across tropical savanna species with contrasting growth strategies. New Phytol. 229, 1415–1430 (2021).
    Google Scholar 
    Burghardt, M. & Riederer, M. in Biology of the Plant Cuticle (eds Riederer, M. & Müller, C.) 292–311 (Blackwell, 2006).Billon, L. M. et al. The DroughtBox: a new tool for phenotyping residual branch conductance and its temperature dependence during drought. Plant Cell Environ. 43, 1584–1594 (2020).
    Google Scholar 
    Wolfe, B. T. Bark water vapour conductance is associated with drought performance in tropical trees. Biol. Lett. 16, 20200263 (2020).
    Google Scholar 
    Martín-Gómez, P., Serrano, L. & Ferrio, J. P. Short-term dynamics of evaporative enrichment of xylem water in woody stems: implications for ecohydrology. Tree Physiol. 37, 511–522 (2017).
    Google Scholar 
    Arend, M. et al. Rapid hydraulic collapse as cause of drought-induced mortality in conifers. Proc. Natl Acad. Sci. USA 118, e2025251118 (2021).
    Google Scholar 
    Wang, W. et al. Mortality predispositions of conifers across western USA. New Phytol. 229, 831–844 (2020).
    Google Scholar 
    Christiansen, E., Waring, R. H. & Berryman, A. A. Resistance of conifers to bark beetle attack: searching for general relationships. For. Ecol. Manag. 22, 89–106 (1987).
    Google Scholar 
    Bigler, C., Bräker, O. U., Bugmann, H., Dobbertin, M. & Rigling, A. Drought as an inciting mortality factor in Scots pine stands of the Valais, Switzerland. Ecosystems 9, 330–343 (2006).
    Google Scholar 
    Richardson, A. D. et al. Seasonal dynamics and age of stemwood nonstructural carbohydrates in temperate forest trees. New Phytol. 197, 850–861 (2013).
    Google Scholar 
    Meinzer, F. C. et al. Dynamics of water transport and storage in conifers studied with deuterium and heat tracing techniques. Plant Cell Environ. 29, 105–114 (2006).
    Google Scholar 
    McDowell, N. G., Allen, C. D. & Marshall, L. Growth, carbon-isotope discrimination, and drought-associated mortality across a Pinus ponderosa elevational transect. Glob. Change Biol. 16, 399–415 (2010).
    Google Scholar 
    Kane, J. M. & Kolb, T. E. Importance of resin ducts in reducing ponderosa pine mortality from bark beetle attack. Oecologia 164, 601–609 (2010).
    Google Scholar 
    Ferrenberg, S., Kane, J. M. & Mitton, J. B. Resin duct characteristics associated with tree resistance to bark beetles across lodgepole and limber pines. Oecologia 174, 1283–1292 (2014).
    Google Scholar 
    Cailleret, M. et al. A synthesis of radial growth patterns preceding tree mortality. Glob. Change Biol. 23, 1675–1690 (2017).
    Google Scholar 
    Muller, B., Pantin, F., Génard, M., Turc, O., Freixes, S., Piques, M. & Gibon, Y. Water deficits uncouple growth from photosynthesis, increase C content, and modify the relationships between C and growth in sink organs. J. Exp. Bot. 62, 1715–1729 (2011).
    Google Scholar 
    Yu, S. Cellular and genetic responses of plants to sugar starvation. Plant Physiol. 121, 687–693 (1999).
    Google Scholar 
    Koster, K. L. & Leopold, A. C. Sugars and desiccation tolerance in seeds. Plant Physiol. 88, 829–832 (1988).
    Google Scholar 
    Sapes, G., Demaree, P., Lekberg, Y. & Sala, A. Plant carbohydrate depletion impairs water relations and spreads via ectomycorrhizal networks. New Phytol. 229, 3172–3183 (2021).
    Google Scholar 
    Hoekstra, F. A., Golovina, E. A. & Buitink, J. Mechanisms of plant desiccation tolerance. Trends Plant Sci. 6, 431–438 (2001).
    Google Scholar 
    Van den Ende, W. & Valluru, R. Sucrose, sucrosyl oligosaccharides, and oxidative stress: scavenging and salvaging? J. Exp. Bot. 60, 9–18 (2009).
    Google Scholar 
    Matros, A., Peshev, D., Peukert, M., Mock, H.-P. & Ende, W. Vden Sugars as hydroxyl radical scavengers: proof-of-concept by studying the fate of sucralose in Arabidopsis. Plant J. 82, 822–839 (2015).
    Google Scholar 
    Rolland, F., Baena-González, E. & Sheen, J. Sugar sensing and signaling in plants: conserved and novel mechanisms. Annu. Rev. Plant Biol. 57, 675–709 (2006).
    Google Scholar 
    Ramel, F., Sulmon, C., Bogard, M., Couée, I. & Gouesbet, G. Differential patterns of reactive oxygen species and antioxidative mechanisms during atrazine injury and sucrose-induced tolerance in Arabidopsis thaliana plantlets. BMC Plant Biol. 9, 28 (2009).
    Google Scholar 
    Fine, P. V. A. et al. The growth–defense trade-off and habitat specialization by plants in Amazonian forests. Ecology 87, S150–S162 (2006).
    Google Scholar 
    Huot, B., Yao, J., Montgomery, B. L. & He, S. Y. Growth–defense tradeoffs in plants: a balancing act to optimize fitness. Mol. Plant 7, 1267–1287 (2014).
    Google Scholar 
    Ouédraogo, D.-Y., Mortier, F., Gourlet-Fleury, S., Freycon, V. & Picard, N. Slow-growing species cope best with drought: evidence from long-term measurements in a tropical semi-deciduous moist forest of Central Africa. J. Ecol. 101, 1459–1470 (2013).
    Google Scholar 
    de la Mata, R., Hood, S. & Sala, A. Insect outbreak shifts the direction of selection from fast to slow growth rates in the long-lived conifer Pinus ponderosa. Proc. Natl Acad. Sci. USA 114, 7391–7396 (2017).
    Google Scholar 
    Roskilly, B., Keeling, E., Hood, S., Giuggiola, A. & Sala, A. Conflicting functional effects of xylem pit structure relate to the growth-longevity trade-off in a conifer species. Proc. Natl Acad. Sci. USA 116, 15282–15287 (2019).
    Google Scholar 
    Snyder, K. A. & Williams, D. G. Defoliation alters water uptake by deep and shallow roots of Prosopis velutina (Velvet Mesquite). Funct. Ecol. 17, 363–374 (2003).
    Google Scholar 
    Eyles, A., Pinkard, E. A. & Mohammed, C. Shifts in biomass and resource allocation patterns following defoliation in Eucalyptus globulus growing with varying water and nutrient supplies. Tree Physiol. 29, 753–764 (2009).
    Google Scholar 
    Hillabrand, R. M., Hacke, U. G. & Lieffers, V. J. Defoliation constrains xylem and phloem functionality. Tree Physiol. 39, 1099–1108 (2019).
    Google Scholar 
    Landhäusser, S. M. & Lieffers, V. J. Defoliation increases risk of carbon starvation in root systems of mature aspen. Trees 26, 653–661 (2012).
    Google Scholar 
    Poyatos, R., Aguadé, D., Galiano, L., Mencuccini, M. & Martínez-Vilalta, J. Drought-induced defoliation and long periods of near-zero gas exchange play a key role in accentuating metabolic decline of Scots pine. New Phytol. 200, 388–401 (2013).
    Google Scholar 
    Cardoso, A. A., Batz, T. A. & McAdam, S. A. Xylem embolism resistance determines leaf mortality during drought in Persea americana. Plant Physiol. 182, 547–554 (2020).
    Google Scholar 
    Mencuccini, M. et al. Leaf economics and plant hydraulics drive leaf:wood area ratios. New Phytol. 224, 1544–1556 (2019).
    Google Scholar 
    Cochard, H., Pimont, F., Ruffault, J. & Martin-St Paul, N. SurEau: a mechanistic model of plant water relations under extreme drought. Ann. Forest Sci. 78, 1–23 (2021).
    Google Scholar 
    Yin, M. C. & Blaxter, J. H. S. Temperature, salinity tolerance, and buoyancy during early development and starvation of Clyde and North Sea herring, cod, and flounder larvae. J. Exp. Mar. Biol. Ecol 107, 279–290 (1987).
    Google Scholar 
    Cahill, G. F. Jr. Fuel metabolism in starvation. Annu. Rev. Nutr. 26, 1–22 (2006).
    Google Scholar 
    Yandi, I. & Altinok, I. Irreversible starvation using RNA/DNA on lab-grown larval anchovy, Engraulis encrasicolus, and evaluating starvation in the field-caught larval cohort. Fish. Res. 201, 32–37 (2018).
    Google Scholar 
    Smith, A. M. & Stitt, M. Coordination of carbon supply and plant growth. Plant Cell Environ. 30, 1126–1149 (2007).
    Google Scholar 
    Schädel, C., Richter, A., Blöchl, A. & Hoch, G. Hemicellulose concentration and composition in plant cell walls under extreme carbon source–sink imbalances. Physiol. Plant. 139, 241–255 (2010).
    Google Scholar 
    Tsamir-Rimon, M. et al. Rapid starch degradation in the wood of olive trees under heat and drought is permitted by three stress-specific beta amylases. New Phytol. 229, 1398–1414 (2020).
    Google Scholar 
    McLoughlin, F. et al. Autophagy plays prominent roles in amino acid, nucleotide, and carbohydrate metabolism during fixed-carbon starvation in maize. Plant Cell 32, 2699–2724 (2020).
    Google Scholar 
    Quirk, J., McDowell, N. G., Leake, J. R., Hudson, P. J. & Beerling, D. J. Increased susceptibility to drought-induced mortality in Sequoia sempervirens (Cupressaceae) trees under Cenozoic atmospheric carbon dioxide starvation. Am. J. Bot. 100, 582–591 (2013).
    Google Scholar 
    Sevanto, S., Mcdowell, N. G., Dickman, L. T., Pangle, R. & Pockman, W. T. How do trees die? A test of the hydraulic failure and carbon starvation hypotheses. Plant Cell Environ. 37, 153–161 (2014).
    Google Scholar 
    Tomasella, M., Petrussa, E., Petruzzellis, F., Nardini, A. & Casolo, V. The possible role of non-structural carbohydrates in the regulation of tree hydraulics. Int. J. Mol. Sci. 21, 144 (2020).
    Google Scholar 
    Gaylord, M. L. et al. Drought predisposes piñon–juniper woodlands to insect attacks and mortality. New Phytol. 198, 567–578 (2013).
    Google Scholar 
    Dickman, L. T., McDowell, N. G., Sevanto, S., Pangle, R. E. & Pockman, W. T. Carbohydrate dynamics and mortality in a piñon-juniper woodland under three future precipitation scenarios. Plant Cell Environ. 38, 729–739 (2015).
    Google Scholar 
    Ruehr, N. K. et al. Drought effects on allocation of recent carbon: from beech leaves to soil CO2 efflux. New Phytol. 184, 950–961 (2009).
    Google Scholar 
    Mencuccini, M., Minunno, F., Salmon, Y., Martínez-Vilalta, J. & Hölttä, T. Coordination of physiological traits involved in drought-induced mortality of woody plants. New Phytol. 208, 396–409 (2015).
    Google Scholar 
    Hagedorn, F. et al. Recovery of trees from drought depends on belowground sink control. Nat. Plants 2, 16111 (2016).
    Google Scholar 
    Hesse, B. D., Goisser, M., Hartmann, H. & Grams, T. E. E. Repeated summer drought delays sugar export from the leaf and impairs phloem transport in mature beech. Tree Physiol. 39, 192–200 (2019).
    Google Scholar 
    Wiley, E., Hoch, G. & Landhäusser, S. M. Dying piece by piece: carbohydrate dynamics in aspen (Populus tremuloides) seedlings under severe carbon stress. J. Exp. Bot. 68, 5221–5232 (2017).
    Google Scholar 
    Weber, R. et al. Living on next to nothing: tree seedlings can survive weeks with very low carbohydrate concentrations. New Phytol. 218, 107–118 (2018).
    Google Scholar 
    Hasanuzzaman, M. & Tanveer, M. (eds) Salt and Drought Stress Tolerance in Plants: Signaling Networks and Adaptive Mechanisms (Springer, 2020)O’Brien, M. J., Leuzinger, S., Philipson, C. D., Tay, J. & Hector, A. Drought survival of tropical tree seedlings enhanced by non-structural carbohydrate levels. Nat. Clim. Chang. 4, 710–714 (2014).
    Google Scholar 
    Nardini, A. et al. Rooting depth, water relations and non-structural carbohydrate dynamics in three woody angiosperms differentially affected by an extreme summer drought. Plant Cell Environ. 39, 618–627 (2016).
    Google Scholar 
    Zinselmeier, C., Westgate, M. E., Schussler, J. R. & Jones, R. J. Low water potential disrupts carbohydrate metabolism in maize (Zea mays L.) ovaries. Plant Physiol. 107, 385–391 (1995).
    Google Scholar 
    Desprez-Loustau, M.-L., Marçais, B., Nageleisen, L.-M., Piou, D. & Vannini, A. Interactive effects of drought and pathogens in forest trees. Ann. For. Sci. 63, 597–612 (2006).
    Google Scholar 
    Oliva, J., Stenlid, J. & Martínez-Vilalta, J. The effect of fungal pathogens on the water and carbon economy of trees: implications for drought-induced mortality. New Phytol. 203, 1028–1035 (2014).
    Google Scholar 
    Kolb, T. et al. Drought-mediated changes in tree physiological processes weaken tree defenses to bark beetle attack. J. Chem. Ecol. 45, 888–900 (2019).
    Google Scholar 
    Croize, L., Lieutier, F., Cochard, H. & Dreyer, E. Effects of drought stress and high density stem inoculations with Leptographium wingfieldii on hydraulic properties of young Scots pine trees. Tree Physiol. 21, 427–436 (2001).
    Google Scholar 
    Wullschleger, S. D., McLaughlin, S. B. & Ayres, M. P. High-resolution analysis of stem increment and sap flow for loblolly pine trees attacked by southern pine beetle. Can. J. For. Res. 34, 387–2393 (2004).
    Google Scholar 
    Hubbard, R. M., Rhoades, C. C., Elder, K. & Negron, J. Changes in transpiration and foliage growth in lodgepole pine trees following mountain pine beetle attack and mechanical girdling. For. Ecol. Manag. 289, 312–317 (2013).
    Google Scholar 
    Manter, D. K. & Kavanagh, K. L. Stomatal regulation in Douglas fir following a fungal-mediated chronic reduction in leaf area. Trees 17, 485–491 (2003).
    Google Scholar 
    Lahr, E. L. & Sala, A. Sapwood stored resources decline in whitebark and lodgepole pines attacked by mountain pine beetles (Coleoptera: Curculionidae). Environ. Entomol. 45, 1463–1475 (2016).
    Google Scholar 
    Marler, T. E. & Cascasan, A. N. Carbohydrate depletion during lethal infestation of Aulacaspis yasumatsui on Cycas revoluta. Int. J. Plant Sci. 179, 497–504 (2018).
    Google Scholar 
    Hood, S. & Sala, A. Ponderosa pine resin defenses and growth: metrics matter. Tree Physiol. 35, 1223–1235 (2015).
    Google Scholar 
    Roth, M., Hussain, A., Cale, J. A. & Erbilgin, N. Successful colonization of lodgepole pine trees by mountain pine beetle increased monoterpene production and exhausted carbohydrate reserves. J. Chem. Ecol. 44, 209–214 (2018).
    Google Scholar 
    Raffa, K. F. et al. Cross-scale drivers of natural disturbances prone to anthropogenic amplification: the dynamics of bark beetle eruptions. Bioscience 58, 501–517 (2008).
    Google Scholar 
    Seidl, R., Schelhaas, M. J., Rammer, W. & Verkerk, P. J. Increasing forest disturbances in Europe and their impact on carbon storage. Nat. Clim. Chang. 4, 806–810 (2014).
    Google Scholar 
    Ryan, M. G., Sapes, G., Sala, A. & Hood, S. M. Tree physiology and bark beetles. New Phytol. 205, 955–957 (2015).
    Google Scholar 
    Huang, J. et al. Tree defence and bark beetles in a drying world: carbon partitioning, functioning and modelling. New Phytol. 225, 26–36 (2020).
    Google Scholar 
    Goodsman, D. W., Lusebrink, I., Landhäusser, S. M., Erbilgin, N. & Lieffers, V. J. Variation in carbon availability, defense chemistry and susceptibility to fungal invasion along the stems of mature trees. New Phytol. 197, 586–594 (2013).
    Google Scholar 
    Wiley, E., Rogers, B. J., Hodgkinson, R. & Landhäusser, S. M. Nonstructural carbohydrate dynamics of lodgepole pine dying from mountain pine beetle attack. New Phytol. 209, 550–562 (2016).
    Google Scholar 
    Netherer, S. et al. Do water-limiting conditions predispose Norway spruce to bark beetle attack? New Phytol. 205, 1128–1141 (2015).
    Google Scholar 
    Rissanen, K. et al. Drought effects on carbon allocation to resin defences and on resin dynamics in old-grown Scots pine. Environ. Exp. Bot. 185, 104410 (2021).
    Google Scholar 
    Gershenzon, J. Metabolic costs of terpenoid accumulation in higher plants. J. Chem. Ecol. 20, 1281–1328 (1994).
    Google Scholar 
    Navarro, L. et al. DELLAs control plant immune responses by modulating the balance of jasmonic acid and salicylic acid signaling. Curr. Biol. 1, 650–655 (2008).
    Google Scholar 
    Fox, H. et al. Transcriptome analysis of Pinus halepensis under drought stress and during recovery. Tree Physiol. 38, 423–441 (2018).
    Google Scholar 
    Caretto, S., Linsalata, V., Colella, G., Mita, G. & Lattanzio, V. Carbon fluxes between primary metabolism and phenolic pathway in plant tissues under stress. Int. J. Mol. Sci. 16, 26378–26394 (2015).
    Google Scholar 
    Franceschi, V. R., Krokene, P., Christiansen, E. & Krekling, T. Anatomical and chemical defenses of conifer bark against bark beetles and other pests. New Phytol. 167, 353–376 (2005).
    Google Scholar 
    Suárez-Vidal, E. et al. Drought stress modifies early effective resistance and induced chemical defences of Aleppo pine against a chewing insect herbivore. Environ. Exp. Bot. 162, 550–559 (2019).
    Google Scholar 
    Hood, S., Sala, A., Heyerdahl, E. K. & Boutin, M. Low-severity fire increases tree defense against bark beetle attacks. Ecology 96, 1846–1855 (2015).
    Google Scholar 
    Zhao, S. & Erbilgin, N. Larger resin ducts are linked to the survival of lodgepole pine trees during mountain pine beetle outbreak. Front. Plant Sci. 10, 1459 (2019).
    Google Scholar 
    Kichas, N. E., Hood, S. M., Pederson, G. T., Everett, R. G. & McWethy, D. B. Whitebark pine (Pinus albicaulis) growth and defense in response to mountain pine beetle outbreaks. For. Ecol. Manag. 457, 117736 (2020).
    Google Scholar 
    Gaylord, M. L., Kolb, T. E. & McDowell, N. G. Mechanisms of piñon pine mortality after severe drought: a retrospective study of mature trees. Tree Physiol. 35, 806–816 (2015).
    Google Scholar 
    Anderegg, W. et al. Tree mortality predicted from drought-induced vascular damage. Nat. Geosci. 8, 367–371 (2015).
    Google Scholar 
    De Kauwe, M. G. et al. Identifying areas at risk of drought-induced tree mortality across South-Eastern Australia. Glob. Change Biol. 26, 5716–5733 (2020).
    Google Scholar 
    Sperry, J. S. et al. The impact of rising CO2 and acclimation on the response of US forests to global warming. Proc. Natl Acad. Sci. USA 116, 25734–25744 (2019).
    Google Scholar 
    Medlyn, B. E. et al. Stomatal conductance of forest species after long-term exposure to elevated CO2 concentration: a synthesis. New Phytol. 149, 247–264 (2001).
    Google Scholar 
    Klein, T. & Ramon, U. Stomatal sensitivity to CO2 diverges between angiosperm and gymnosperm tree species. Funct. Ecol. 33, 1411–1424 (2019).
    Google Scholar 
    Paudel, I. et al. Elevated CO2 compensates for drought effects in lemon saplings via stomatal downregulation, increased soil moisture, and increased wood carbon storage. Environ. Exp. Bot. 148, 117–127 (2018).
    Google Scholar 
    Bobich, E. G., Barron-Gafford, G. A., Rascher, K. G. & Murthy, R. Effects of drought and changes in vapour pressure deficit on water relations of Populus deltoides growing in ambient and elevated CO2. Tree Physiol. 30, 866–875 (2010).
    Google Scholar 
    Gimeno, T. E., McVicar, T. R., O’Grady, A. P., Tissue, D. T. & Ellsworth, D. S. Elevated CO2 did not affect the hydrological balance of a mature native Eucalyptus woodland. Glob. Change Biol. 24, 3010–3024 (2018).
    Google Scholar 
    Nowak, R. S. et al. Elevated atmospheric CO2 does not conserve soil water in the mojave desert. Ecology 85, 93–99 (2004).
    Google Scholar 
    Schäfer, K. V., Oren, R., Lai, C. T. & Katul, G. G. Hydrologic balance in an intact temperate forest ecosystem under ambient and elevated atmospheric CO2 concentration. Glob. Change Biol. 8, 895–911 (2002).
    Google Scholar 
    Novick, K. A., Katul, G. G., McCarthy, H. R. & Oren, R. Increased resin flow in mature pine trees growing under elevated CO2 and moderate soil fertility. Tree Physiol. 32, 752–763 (2012).
    Google Scholar 
    Li, X. M. et al. Temperature alters the response of hydraulic architecture to CO2 in cotton plants (Gossypium hirsutum). Environ. Exp. Bot. 172, 104004 (2020).
    Google Scholar 
    Li, W. et al. The sweet side of global change–dynamic responses of non-structural carbohydrates to drought, elevated CO2 and nitrogen fertilization in tree species. Tree Physiol. 38, 1706–1723 (2018).
    Google Scholar 
    Duan, H. et al. Elevated [CO2] does not ameliorate the negative effects of elevated temperature on drought-induced mortality in Eucalyptus radiata seedlings. Plant Cell Environ. 37, 1598–1613 (2014).
    Google Scholar 
    Duan, H. et al. CO2 and temperature effects on morphological and physiological traits affecting risk of drought-induced mortality. Tree Physiol. 38, 1138–1151 (2018).
    Google Scholar 
    Zavala, J. A., Nabity, P. D. & DeLucia, E. H. An emerging understanding of mechanisms governing insect herbivory under elevated CO2. Annu. Rev. Entomol. 58, 79–97 (2013).
    Google Scholar 
    Kazan, K. Plant-biotic interactions under elevated CO2: a molecular perspective. Environ. Exp. Bot. 153, 249–261 (2018).
    Google Scholar 
    Gessler, A., Schaub, M. & McDowell, N. G. The role of nutrients in drought-induced tree mortality and recovery. New Phytol. 214, 513–520 (2017).
    Google Scholar 
    Mackay, D. S. et al. Interdependence of chronic hydraulic dysfunction and canopy processes can improve integrated models of tree response to drought. Water Resour. Res. 51, 6156–6176 (2015).
    Google Scholar 
    Mackay, D. S. et al. Conifers depend on established roots during drought: results from a coupled model of carbon allocation and hydraulics. New Phytol. 225, 679–692 (2020).
    Google Scholar 
    Tai, X. et al. Plant hydraulic stress explained tree mortality and tree size explained beetle attack in a mixed conifer forest. J. Geophys. Res. Biogeosci. 124, 3555–3568 (2019).
    Google Scholar 
    Sala, A., Piper, F. & Hoch, G. Physiological mechanisms of drought-induced tree mortality are far from being resolved. New Phytol. 186, 274–281 (2010).
    Google Scholar 
    Limousin, J. M. et al. Regulation and acclimation of leaf gas exchange in a piñon–juniper woodland exposed to three different precipitation regimes. Plant Cell Environ. 36, 1812–1825 (2013).
    Google Scholar 
    Sorek, Y. et al. An increase in xylem embolism resistance of grapevine leaves during the growing season is coordinated with stomatal regulation, turgor loss point and intervessel pit membranes. New Phytol. 229, 1955–1969 (2021).
    Google Scholar 
    Hudson, P. J. et al. Impacts of long-term precipitation manipulation on hydraulic architecture and xylem anatomy of piñon and juniper in Southwest USA. Plant Cell Environ. 41, 421–435 (2018).
    Google Scholar 
    Warren, J. M., Norby, R. J. & Wullschleger, S. D. Elevated CO2 enhances leaf senescence during extreme drought in a temperate forest. Tree Physiol. 31, 117–130 (2011).
    Google Scholar 
    Matusick, G. et al. Chronic historical drought legacy exacerbates tree mortality and crown dieback during acute heatwave-compounded drought. Environ. Res. Lett. 13, 095002 (2018).
    Google Scholar 
    Shirley, H. L. Lethal high temperatures for conifers, and the cooling effect of transpiration. J. Agric. Res. 53, 239–258 (1936).
    Google Scholar 
    Fisher, R. A. & Koven, C. D. Perspectives on the future of land surface models and the challenges of representing complex terrestrial systems. J. Adv. Model. Earth Syst. 12, e2018MS001453 (2020).
    Google Scholar 
    Menzel, A., Sparks, T. H., Estrella, N. & Roy, D. B. Altered geographic and temporal variability in phenology in response to climate change. Glob. Ecol. Biogeogr. 15, 498–504 (2006).
    Google Scholar 
    Keenan, T. F. et al. Net carbon uptake has increased through warming-induced changes in temperate forest phenology. Nat. Clim. Chang. 4, 598–604 (2014).
    Google Scholar 
    Nakamura, T. et al. Tree hazards compounded by successive climate extremes after masting in a small endemic tree, Distylium lepidotum, on subtropical islands in Japan. Glob. Change Biol 27, 5094–5108 (2021).
    Google Scholar 
    Hummel, I. et al. Arabidopsis plants acclimate to water deficit at low cost through changes of carbon usage: an integrated perspective using growth, metabolite, enzyme, and gene expression analysis. Plant Physiol. 154, 357–372 (2010).
    Google Scholar 
    Jamieson, M. A., Trowbridge, A. M., Raffa, K. F. & Lindroth, R. L. Consequences of climate warming and altered precipitation patterns for plant-insect and multitrophic interactions. Plant Physiol. 160, 1719–1727 (2012).
    Google Scholar 
    Mithöfer, A. & Boland, W. Plant defense against herbivores: chemical aspects. Annu. Rev. Plant Biol. 63, 431–450 (2012).
    Google Scholar 
    Netherer, S. et al. Interactions among Norway spruce, the bark beetle Ips typographus and its fungal symbionts in times of drought. J. Pest Sci. 94, 591–614 (2021).
    Google Scholar 
    Love, D. M. et al. Dependence of aspen stands on a subsurface water subsidy: implications for climate change impacts. Water Resour. Res. 55, 1833–1848 (2019).
    Google Scholar 
    McDowell, N. G. et al. Mechanisms of a coniferous woodland persistence under drought and heat. Environ. Res. Lett. 14, 045014 (2019).
    Google Scholar 
    Rozendaal, D. M. et al. Competition influences tree growth, but not mortality, across environmental gradients in Amazonia and tropical Africa. Ecology 101, e03052 (2020).
    Google Scholar 
    Friedlingstein, P. et al. Uncertainties in CMIP5 climate projections due to carbon cycle feedbacks. J. Clim. 27, 511–526 (2014).
    Google Scholar 
    CH2018 Project Team. CH2018 — climate scenarios for Switzerland. NCCS https://doi.org/10.18751/Climate/Scenarios/CH2018/1.0 (2018).Article 

    Google Scholar 
    McMaster, G. S. & Wilhelm, W. W. Growing degree-days: one equation, two interpretations. Agric. For. Meteorol. 87, 291–300 (1997).
    Google Scholar 
    McDowell, N. G. Mechanisms linking drought, hydraulics, carbon metabolism, and vegetation mortality. Plant Physiol. 155, 1051–1059 (2011).
    Google Scholar  More

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    Dozens of unidentified bat species likely live in Asia — and could host new viruses

    NEWS
    29 March 2022

    Dozens of unidentified bat species likely live in Asia — and could host new viruses

    Study suggests some 40% of horseshoe bats in the region have yet to be formally described.

    Smriti Mallapaty

    Smriti Mallapaty

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    There could be more species of horseshoe bat than previously thought.Credit: Chien Lee/Nature Picture Library

    A genomic analysis suggests that there are probably dozens of unknown species of horseshoe bats in southeast Asia1. Horseshoe bats (Rhinolophidae) are considered the reservoir of many zoonotic viruses — which jump from animals to people — including the close relatives of the viruses that caused severe acute respiratory syndrome and COVID-19. Identifying bat species correctly might help pinpoint geographical hotspots with a high risk of zoonotic disease, says Shi Zhengli, a virologist at the Wuhan Institute of Virology in China. “This work is important,” she says. The study was published in Frontiers in Ecology and Evolution on 29 March.Better identification of unknown bat species could also support the search for the origins of SARS-CoV-2 by narrowing down where to look for bats that may harbour close relatives of the virus, says study co-author Alice Hughes, a conservation biologist at the University of Hong Kong. The closest known relatives of SARS-CoV-2 have been found in Rhinolophus affinis bats in Yunnan province, in southwestern China2, and in three species of horseshoe bat in Laos3.Cryptic speciesHughes wanted to better understand the diversity of bats in southeast Asia and find standardized ways of identifying them. So she and her colleagues captured bats in southern China and southeast Asia between 2015 and 2020. They took measurements and photographs of the bats’ wings and noseleaf — “the funky set of tissue around their nose”, as Hughes describes it — and recorded their echolocation calls. They also collected a tiny bit of tissue from the bats’ wings to extract genetic data.To map the bats’ genetic diversity, the team used mitochondrial DNA sequences from 205 of their captured animals, and another 655 sequences from online databases — representing a total of 11 species of Rhinolophidae. As a general rule, the greater the difference between two bats’ genomes, the more likely the animals represent genetically distinct groups, and therefore different species.The researchers found that each of the 11 species were probably actually multiple species, possibly including dozens of hidden species across the whole sample. Hidden, or ‘cryptic’, species are animals that seem to belong to the same species but are actually genetically distinct. For example, the genetic diversity of Rhinolophus sinicus suggests that the group could be six separate species. Overall, they estimated that some 40% of the species in Asia have not been formally described.“It’s a sobering number, but not terribly surprising,” says Nancy Simmons, a curator at the American Museum of Natural History in New York City. Rhinolophid bats are a complex group and there has been only a limited sampling of the animals, she says.However, relying on mitochondrial DNA could mean that the number of hidden species is an overestimate. That is because mitochondrial DNA is inherited only from the mother, so could be missing important genetic information, says Simmons. Still, the study could lead to a burst of research into naming new bat species in the region, she says.Further evidenceThe findings corroborate other genetic research suggesting that there are many cryptic species in southeast Asia, says Charles Francis, a biologist at the Canadian Wildlife Service, Environment and Climate Change Canada, in Ottawa, who studies bats in the region. But, he says, the estimates are based on a small number of samples.Hughes’ team used the morphological and acoustic data to do a more detailed analysis of 190 bats found in southern China and Vietnam and found that it supported their finding that many species had not been identified in those regions. The study makes a strong argument for “the use of multiple lines of evidence when delineating species”, says Simmons.Hughes says her team also found that the flap of tissue just above the bats’ nostrils, called the sella, could be used to identify species without the need for genetic data. Gábor Csorba, a taxonomist at the Hungarian Natural History Museum in Budapest, says this means that hidden species could be identified without doing intrusive morphology studies or expensive DNA analyses.

    doi: https://doi.org/10.1038/d41586-022-00776-2

    ReferencesChornelia, A., Jianmei, L. & Hughes, A. C. Front. Ecol. Evol. 10, 854509 (2022).Article 

    Google Scholar 
    Zhou, P. et al. Nature 579, 270–273 (2020).PubMed 
    Article 

    Google Scholar 
    Temmam, S. et al. Nature https://doi.org/10.1038/s41586-022-04532-4 (2022).PubMed 
    Article 

    Google Scholar 
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    Diel activity patterns of two distinct populations of Aedes aegypti in Miami, FL and Brownsville, TX

    Our results show that the average diel activity patterns of Ae. aegypti populations in both Miami, FL and in Brownsville, TX were very similar; they both had two peaks, one in the early morning and the other in the evening, and the average host-seeking peaks are between 7:00 and 8:00 and between 19:00 and 20:00 (Fig. 4). Similar observations were previously reported by several investigators3,4,10,11,12 and the bimodal diel activity pattern is the most frequently reported for Ae. aegypti populations worldwide. However, variations between peak activity have been detected between populations. In East Africa, for instance, Trpis et al.3 reported peak activity at 7:00 and at 19:00, whereas McClelland10 reported peak activity two or three hours after sunrise (9:00 or 10:00) and one or two hours before sunset (17:00 or 16:00). Similarly, in the United States, Smith et al.7 observed a bimodal diel activity pattern for Ae. aegypti, but the evening peak was earlier, between 17:00 and 19:00. Despite these variations, the spacing of the peaks is similar in all these studies despite the fact that these studies were conducted in ecologically and climatically diverse locations.The activity patterns observed at site 3 in Brownsville (Fig. 2) and at site 1 in Miami (Fig. 1) were trimodal. In Brownsville, the trimodal activity peaks were between 6:30 and 7:30, 9:30 and 10:30, and 18:30 and 19:30 (Fig. 2), and in Miami the trimodal peaks were between 7:00 and 8:00, 9:00 and 10:00 and between 19:00 and 20:00 (Fig. 1). Interestingly, the timing of the third peak was similar in both Brownsville site 3 and Miami site 1 suggesting similar underlying factors despite geographic distance, different ecology, and different climate. Brownsville, Texas, is in the Lower Rio Grande Alluvial Floodplain ecoregion. The climate is humid subtropical and urbanization has removed most of the indigenous palm trees and floodplain forests vegetation (https://www.epa.gov/sites/default/files/2018-05/documents/brownsvilletx.pdf). Miami is in the Tropical Florida Ecoregion. Similar to Brownsville, Texas, urbanization and agriculture has replaced most of the indigenous Pine Rockland vegetation. Trimodal biting patterns for Ae. aegypti have been observed before in Trinidad by Chadee and Martinez4, but the middle peak was observed at 11:00 which is half an hour to an hour later than what we observed in Miami and Brownsville, respectively (Figs. 1 and 2). While the morning and evening peaks coincide with human outdoor activity, the middle peak occurs during high heat conditions and the factors that lead to this peak or its importance in the epidemiology of Ae. aegypti-borne arboviral diseases are currently not known. The studies by McClelland13 observed multiple activity peaks in an East African population of Ae. aegypti. The significance of the different activity patterns to the epidemiology of Ae. aegypti-borne arboviral diseases are currently unknown and we think they need more investigation especially since Ae. aegypti-borne arboviral infections have been rising in the recent past14,15.We observed that the host-seeking activity peaks were consistent between 5:45 and 7:30 and between 18:00 and 20:45 (Figs. 1 and 2). These observations are important in planning and conducting control operations directed at the adult Ae. aegypti female populations. During the 2016 Zika outbreak, there was no specific information on the host-seeking activity patterns of Ae. aegypti in Miami Dade County and the adulticide treatment implemented as part of an integrated approach targeted the morning activity16. The integrated approach effectively reduced the vector population and interrupted the transmission of the Zika virus; however, it highlighted the need for site-specific information on the diel activity patterns of Ae. aegypti in Miami Dade County in particular and the CONUS in general. There have been sporadic Ae. aegypti-borne arboviral disease outbreaks in Miami Dade County, FL and the city of Brownsville, TX17,18,19,20,21, in the future we will be better prepared to conduct effective adulticide applications with the current knowledge of the diel activity patterns of Ae. aegypti in these areas. Furthermore, we are now better equipped to educate the public on how to minimize exposure to Ae. aegypti-borne arboviral diseases by avoiding outdoor activities during peak biting activity periods.In our studies, we used BG-Sentinel 2 traps and monitored them every hour, twenty-four hours a day over 96 h, a method with some similarities to that used by Smith et al.7. In the past, diel biting activity studies were carried out using human landing catches following the methods primarily established by Haddow22. To our knowledge, only two studies have previously used sampling procedures not based on human landing catches to study the biting activity patterns of Ae. aegypti; the study by Ortega-Lopez et al.6 used mosquito electrocuting traps, and the study by Smith et al.7 used a mechanical rotator mosquito trap. In the present study, the use of BG-Sentinel II traps had the advantage that it was specifically designed to capture female host-seeking Ae. aegypti8,9. In addition, attached BG-Counter devices can keep track of the number of mosquitoes captured per specified unit time and environmental conditions, and store the information in a cloud server. However, the BG-Sentinel 2 traps collected a wide variety of mosquito species, (Table 1), and to keep track of specific species captured each hour, we had to monitor them every hour.Overall, we present data on the diel activity of Ae. aegypti populations in two cities in the southern United States. In both cities the activity patterns were bimodal; there were peaks of activity in the mornings and the evenings. The significance of these observations is that these peaks can be targeted to improve the effectiveness of adulticide treatments aimed at controlling Ae. aegypti adult populations. Using BG-Sentinel 2 traps eliminates individual variations associated with human landing catches and the associated danger of infections from wild mosquitoes especially during ongoing outbreaks. More

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    Snake-like limb loss in a Carboniferous amniote

    Caldwell, M. W. “Without a leg to stand on”: on the evolution and development of axial elongation and limblessness in tetrapods. Can. J. Earth Sci. 40, 573–588 (2003).
    Google Scholar 
    Bejder, L. & Hall, B. K. Limbs in whales and limblessness in other vertebrates: mechanisms of evolutionary and developmental transformation and loss. Evol. Dev. 4, 445–458 (2002).PubMed 

    Google Scholar 
    Gans, C. Locomotion and burrowing in limbless vertebrates. Nature 242, 414–415 (1973).
    Google Scholar 
    Gans, C. Tetrapod limblessness: evolution and functional corollaries. Am. Zool. 15, 455–467 (1975).
    Google Scholar 
    Camaiti, M., Evans, A. R., Hipsley, C. A. & Chapple, D. G. A farewell to arms and legs: a review of limb reduction in squamates. Biol. Rev. 96, 1035–1050 (2021).PubMed 

    Google Scholar 
    Brandley, M. C., Huelsenbeck, J. P. & Wiens, J. J. Rates and patterns in the evolution of snake‐like body form in squamate reptiles: evidence for repeated re‐evolution of lost digits and long‐term persistence of intermediate body forms. Evol. Int. J. Org. Evol. 62, 2042–2064 (2008).
    Google Scholar 
    Skinner, A., Lee, M. S. & Hutchinson, M. N. Rapid and repeated limb loss in a clade of scincid lizards. BMC Evol. Biol. 8, 310 (2008).Marjanović, D. & Laurin, M. Phylogeny of Paleozoic limbed vertebrates reassessed through revision and expansion of the largest published relevant data matrix. PeerJ 6, e5565 (2019).PubMed 
    PubMed Central 

    Google Scholar 
    Woltering, J. M. et al. Axial patterning in snakes and caecilians: evidence for an alternative interpretation of the Hox code. Dev. Biol. 332, 82–89 (2009).CAS 
    PubMed 

    Google Scholar 
    Cohn, M. J. & Tickle, C. Developmental basis of limblessness and axial patterning in snakes. Nature 399, 474–479 (1999).CAS 
    PubMed 

    Google Scholar 
    Jaekel, O. Über die klassen der tetrapoden [About the classes of the tetrapods]. Zool. Anz. 34, 193–212 (1909).
    Google Scholar 
    Anderson J. S. in Major Transitions in Vertebrate Evolution (eds Anderson, J. S. & Sues, H.-D.) 182–227 (Indiana Univ. Press, 2007).Cope, E. D. Synopsis of the extinct Batrachia from the Coal Measures. Ohio Geol. Surv. 2, 349–411 (1875).
    Google Scholar 
    Farrell, Ú. Pyritization of soft tissues in the fossil record: an overview. Paleontol. Soc. Pap. 20, 35–58 (2014).
    Google Scholar 
    Mann, A. Cranial ornamentation of a large Brachydectes newberryi (Recumbirostra: Lysorophia) from Linton, Ohio. Vertebr. Anat. Morphol. Palaeontol. 6, 91–96 (2018).
    Google Scholar 
    Mann, A., Pardo, J. D. & Maddin, H. C. Infernovenator steenae, a new serpentine recumbirostran from the ‘Mazon Creek’ Lagerstätte further clarifies lysorophian origins. Zool. J. Linn. Soc. 187, 506–517 (2019).
    Google Scholar 
    Maisano, J. A. A survey of state of ossification in neonatal squamates. Herpetol. Monogr. 15, 135–157 (2001).Maisano, J. A. Terminal fusions of skeletal elements as indicators of maturity in squamates. J. Vertebr. Paleontol. 22, 268–275 (2002).
    Google Scholar 
    Maisano, J. A. Terminal fusions of skeletal elements as indicators of maturity in squamates. J. Vertebr. Paleontol. 22, 268–275 (2002).
    Google Scholar 
    Pardo, J. D. & Anderson, J. S. Cranial morphology of the Carboniferous–Permian tetrapod Brachydectes newberryi (Lepospondyli, Lysorophia): new data from µCT. PLoS ONE 11, e0161823 (2016).PubMed 
    PubMed Central 

    Google Scholar 
    Milner, A. R. Small temnospondyl amphibians from the Middle Pennsylvanian of Illinois. Paleontology 25, 635–664 (1982).
    Google Scholar 
    Godfrey, S. A diminutive temnospondyl amphibian from the Pennsylvanian of Illinois. Can. J. Earth Sci. 40, 507–514 (2003).
    Google Scholar 
    Mann, A. & Maddin, H. C. Diabloroter bolti, a short-bodied recumbirostran ‘microsaur’ from the Francis Creek Shale, Mazon Creek, Illinois. Zool. J. Linn. Soc. 187, 494–505 (2019).
    Google Scholar 
    Mann, A., McDaniel, E. J., McColville, E. R. & Maddin, H. C. Carbonodraco lundi gen et sp. nov., the oldest parareptile, from Linton, Ohio, and new insights into the early radiation of reptiles. R. Soc. Open Sci. 6, 191191 (2019).PubMed 
    PubMed Central 

    Google Scholar 
    Mann, A. & Gee, B. M. Lissamphibian-like toepads in an exceptionally preserved amphibamiform from Mazon Creek. J. Vertebr. Paleontol. 39, e1727490 (2020).
    Google Scholar 
    Wellstead, C. F. Taxonomic revision of the Lysorophia, Permo-Carboniferous lepospondyl amphibians. Bull. Am. Mus. Nat. Hist. 209, 1–90 (1991).
    Google Scholar 
    Sallan, L. C. & Coates, M. I. The long-rostrumed elasmobranch Bandringa Zangerl, 1969, and taphonomy within a Carboniferous shark nursery. J. Vertebr. Paleontol. 34, 22–33 (2014).
    Google Scholar 
    Allison, P. A. & Briggs, D. E. Exceptional fossil record: distribution of soft-tissue preservation through the Phanerozoic. Geology 21, 527–530 (1993).
    Google Scholar 
    Briggs, D. E. The role of decay and mineralization in the preservation of soft-bodied fossils. Annu. Rev. Earth Planet. Sci. 31, 275–301 (2003).CAS 

    Google Scholar 
    Rieppel, O. Studies on skeleton formation in reptiles. V. Patterns of ossification in the skeleton of Alligator mississippiensis Daudin (Reptilia, Crocodylia). Zool. J. Linn. Soc. 109, 301–325 (1993).
    Google Scholar 
    Sheil, C. A. Skeletal development of Macrochelys temminckii (Reptilia: Testudines: Chelydridae). J. Morphol. 263, 71–106 (2005).PubMed 

    Google Scholar 
    Roscito, J. G. & Rodrigues, M. T. Skeletal development in the fossorial gymnophthalmids Calyptommatus sinebrachiatus and Nothobachia ablephara. Zoology 115, 289–301 (2012).PubMed 

    Google Scholar 
    Boisvert, C. A. Vertebral development of modern salamanders provides insights into a unique event of their evolutionary history. J. Exp. Zool. B 312, 1–29 (2009).
    Google Scholar 
    Klembara, J. & Janiga, M. Variation in Discosauriscus austriacus (Makowsky, 1876) from the Lower Permian of the Boskovice Furrow (Czech Republic). Zool. J. Linn. Soc. 108, 247–270 (1993).
    Google Scholar 
    Pardo, J. D., Szostakiwskyj, M., Ahlberg, P. E. & Anderson, J. S. Hidden morphological diversity among early tetrapods. Nature 546, 642–645 (2017).CAS 
    PubMed 

    Google Scholar 
    Mann, A., Calthorpe, A. S. & Maddin, H. C. Joermungandr bolti, an exceptionally preserved ‘microsaur’ from the Mazon Creek Lagerstätte reveals patterns of integumentary evolution in Recumbirostra. R. Soc. Open Sci. 8, 210319 (2021).PubMed 
    PubMed Central 

    Google Scholar 
    Swofford, D. Phylogenetic analysis using parsimony (PAUP) v.4.0b10 (Sinauer Associates, 2002).Cohn, M. J. & Bright, P. E. Molecular control of vertebrate limb development, evolution and congenital malformations. Cell Tissue Res. 296, 3–17 (1999).CAS 
    PubMed 

    Google Scholar 
    Mizuhashi, K. et al. Resting zone of the growth plate houses a unique class of skeletal stem cells. Nature 563, 254–258 (2018).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Marchini, M. & Rolian, C. Artificial selection sheds light on developmental mechanisms of limb elongation. Evolution 72, 825–837 (2018).PubMed 

    Google Scholar 
    Rolian, C. Endochondral ossification and the evolution of limb proportions. WIREs Dev. Biol. 9, e373 (2020).Weir, E. C. et al. Targeted overexpression of parathyroid hormone-related peptide in chondrocytes causes chondrodysplasia and delayed endochondral bone formation. Proc. Natl Acad. Sci. USA 93, 10240–10245 (1996).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Terpstra, L. et al. Reduced chondrocyte proliferation and chondrodysplasia in mice lacking the integrin-linked kinase in chondrocytes. J. Cell Biol. 162, 139–148 (2003).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Marchini, M., Hernandez, E. S. & Rolian, C. Morphology and development of a novel murine skeletal dysplasia. PeerJ 7, e7180 (2019).PubMed 
    PubMed Central 

    Google Scholar 
    Shapiro, M. D., Hanken, J. & Rosenthal, N. Developmental basis of evolutionary digit loss in the Australian lizard Hemiergis. J. Exp. Zool. B 297, 48–56 (2003).
    Google Scholar 
    Leal, F. & Cohn, M. J. Loss and re-emergence of legs in snakes by modular evolution of Sonic hedgehog and HOXD enhancers. Curr. Biol. 26, 2966–2973 (2016).CAS 
    PubMed 

    Google Scholar 
    Leal, F. & Cohn, M. J. Developmental, genetic, and genomic insights into the evolutionary loss of limbs in snakes. Genesis 56, e23077 (2018).Lande, R. Evolutionary mechanisms of limb loss in tetrapods. Evolution 32, 73–92 (1978).PubMed 

    Google Scholar 
    Anderson, J. S. Revision of the aïstopod genus Phlegethontia (Tetrapoda: Lepospondyli). J. Paleontol. 76, 1029–1046 (2002).
    Google Scholar 
    Anderson, J. S. A new aïstopod (Tetrapoda: Lepospondyli) from Mazon Creek, Illinois. J. Vertebr. Paleontol. 23, 79–88 (2003).
    Google Scholar 
    Shapiro, M. D. Developmental morphology of limb reduction in Hemiergis (Squamata: Scincidae): chondrogenesis, osteogenesis, and heterochrony. J. Morphol. 254, 211–231 (2002).PubMed 

    Google Scholar 
    Herbst, E. C. & Hutchinson, J. R. New insights into the morphology of the Carboniferous tetrapod Crassigyrinus scoticus from computed tomography. Earth Environ. Sci. Trans. R. Soc. Edinb. 109, 157–175 (2019).CAS 

    Google Scholar 
    Carroll, R. L. & Gaskill, P. The order Microsauria. Mem. Am. Philos. Soc. 126, 1–211 (1978).
    Google Scholar 
    Tchernov, E., Rieppel, O., Zaher, H., Polcyn, M. J. & Jacobs, L. L. A fossil snake with limbs. Science 287, 2010–2012 (2000).CAS 
    PubMed 

    Google Scholar 
    Zaher, H., Apesteguia, S. & Scanferla, C. A. The anatomy of the Upper Cretaceous snake Najash rionegrina Apesteguía & Zaher, 2006, and the evolution of limblessness in snakes. Zool. J. Linn. Soc. 156, 801–826 (2009).
    Google Scholar 
    Jenkins, F. A., Walsh, D. M. & Carroll, R. L. Anatomy of Eocaecilia micropodia, a limbed caecilian of the Early Jurassic. Bull. Mus. Comp. Zool. 158, 285–365 (2007).
    Google Scholar 
    Camp, C. L. Classification of the lizards. Bull. Am. Mus. Nat. Hist. 48, 289–480 (1923).
    Google Scholar 
    Essex, R. Studies in reptilian degeneration. Proc. Zool. Soc. Lond. 97, 879–945 (1927).
    Google Scholar 
    Sewertzoff, A. N. Studien über die reduktion der organe der wirbeltiere. Zool. Jahrb. Abt. Anat. Ontog. Tiere 53, 611–699 (1931).
    Google Scholar  More

  • in

    Intra- and interpopulation transposition of mobile genetic elements driven by antibiotic selection

    Poirel, L. et al. Tn125-related acquisition of blaNDM-like genes in Acinetobacter baumannii. Antimicrob. Agents Chemother. 56, 1087–1089 (2012).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wang, R. et al. The global distribution and spread of the mobilized colistin resistance gene mcr-1. Nat. Commun. 9, 1179 (2018).PubMed 
    PubMed Central 

    Google Scholar 
    Clark, N. C., Weigel, L. M., Patel, J. B. & Tenover, F. C. Comparison of Tn1546-like elements in vancomycin-resistant Staphylococcus aureus isolates from Michigan and Pennsylvania. Antimicrob. Agents Chemother. 49, 470–472 (2005).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Partridge, S. R., Kwong, S. M., Firth, N. & Jensen, S. O. Mobile genetic elements associated with antimicrobial resistance. Clin. Microbiol. Rev. 31, e00088-17 (2018).PubMed 
    PubMed Central 

    Google Scholar 
    Stokes, H. W. & Gillings, M. R. Gene flow, mobile genetic elements and the recruitment of antibiotic resistance genes into Gram-negative pathogens. FEMS Microbiol. Rev. 35, 790–819 (2011).CAS 

    Google Scholar 
    Ghaly, T. M. & Gillings, M. R. Mobile DNAs as ecologically and evolutionarily independent units of life. Trends Microbiol. 26, 904–912 (2018).CAS 

    Google Scholar 
    Modi, S. R., Lee, H. H., Spina, C. S. & Collins, J. J. Antibiotic treatment expands the resistance reservoir and ecological network of the phage metagenome. Nature 499, 219–222 (2013).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Brown-Jaque, M., Calero-Cáceres, W. & Muniesa, M. Transfer of antibiotic-resistance genes via phage-related mobile elements. Plasmid https://doi.org/10.1016/j.plasmid.2015.01.001 (2015).Frantzeskakis, L. et al. Signatures of host specialization and a recent transposable element burst in the dynamic one-speed genome of the fungal barley powdery mildew pathogen. BMC Genomics 19, 381 (2018).Scott, K. P. The role of conjugative transposons in spreading antibiotic resistance between bacteria that inhabit the gastrointestinal tract. Cell. Mol. Life Sci. 59, 2071–2082 (2002).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Pezzella, C., Ricci, A., DiGiannatale, E., Luzzi, I. & Carattoli, A. Tetracycline and streptomycin resistance genes, transposons, and plasmids in Salmonella enterica isolates from animals in Italy. Antimicrob. Agents Chemother. 48, 903–908 (2004).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Bengtsson-Palme, J., Boulund, F., Fick, J., Kristiansson, E. & Larsson, D. G. Shotgun metagenomics reveals a wide array of antibiotic resistance genes and mobile elements in a polluted lake in India. Front. Microbiol. 5, 648 (2014).PubMed 
    PubMed Central 

    Google Scholar 
    Imchen, M. & Kumavath, R. Shotgun metagenomics reveals a heterogeneous prokaryotic community and a wide array of antibiotic resistance genes in mangrove sediment. FEMS Microbiol. Ecol. 96, fiaa173 (2020).CAS 

    Google Scholar 
    Zhang, T., Zhang, X.-X. & Ye, L. Plasmid metagenome reveals high levels of antibiotic resistance genes and mobile genetic elements in activated sludge. PLoS ONE 6, e26041 (2011).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Hu, H. et al. Novel plasmid and its variant harboring both a blaNDM-1 gene and type IV secretion system in clinical isolates of Acinetobacter lwoffii. Antimicrob. Agents Chemother. 56, 1698–1702 (2012).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Smet, A. et al. Complete nucleotide sequence of CTX-M-15-plasmids from clinical Escherichia coli isolates: insertional events of transposons and insertion sequences. PLoS ONE 5, e11202 (2010).PubMed 
    PubMed Central 

    Google Scholar 
    Revilla, C. et al. Different pathways to acquiring resistance genes illustrated by the recent evolution of IncW plasmids. Antimicrob. Agents Chemother. 52, 1472–1480 (2008).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Poirel, L., Dortet, L., Bernabeu, S. & Nordmann, P. Genetic features of blaNDM-1-positive Enterobacteriaceae. Antimicrob. Agents Chemother. 55, 5403–5407 (2011).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Toleman, M. A., Spencer, J., Jones, L. & Walsh, T. R. blaNDM-1 is a chimera likely constructed in Acinetobacter baumannii. Antimicrob. Agents Chemother. 56, 2773–2776 (2012).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Bonnin, R. A., Poirel, L. & Nordmann, P. New Delhi metallo-β-lactamase-producing Acinetobacter baumannii: a novel paradigm for spreading antibiotic resistance genes. Future Microbiol. 9, 33–41 (2014).CAS 

    Google Scholar 
    Waterman, P. E. et al. Bacterial peritonitis due to Acinetobacter baumannii sequence type 25 with plasmid-borne New Delhi metallo-β-lactamase in Honduras. Antimicrob. Agents Chemother. 57, 4584–4586 (2013).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    McGann, P. et al. Detection of New Delhi metallo-β-lactamase (encoded by blaNDM-1) in Acinetobacter schindleri during routine surveillance. J. Clin. Microbiol. 51, 1942–1944 (2013).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Forsberg, K. J. et al. The shared antibiotic resistome of soil bacteria and human pathogens. Science 337, 1107–1111 (2012).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Jiang, X. et al. Dissemination of antibiotic resistance genes from antibiotic producers to pathogens. Nat. Commun. 8, 15784 (2017).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Spanogiannopoulos, P., Waglechner, N., Koteva, K. & Wright, G. D. A rifamycin inactivating phosphotransferase family shared by environmental and pathogenic bacteria. Proc. Natl Acad. Sci. USA 111, 7102–7107 (2014).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Yang, J. et al. Marine sediment bacteria harbor antibiotic resistance genes highly similar to those found in human pathogens. Microb. Ecol. 65, 975–981 (2013).CAS 

    Google Scholar 
    D’Costa, V. M. et al. Antibiotic resistance is ancient. Nature 477, 457–461 (2011).PubMed 
    PubMed Central 

    Google Scholar 
    Van Goethem, M. W. et al. A reservoir of ‘historical’ antibiotic resistance genes in remote pristine Antarctic soils. Microbiome 6, 40 (2018).PubMed 
    PubMed Central 

    Google Scholar 
    Mindlin, S., Soina, V. S., Petrova, M. A. & Gorlenko, Zh. M. Isolation of antibiotic resistance bacterial strains from Eastern Siberia permafrost sediments. Genetika 44, 36–44 (2008).CAS 

    Google Scholar 
    Cohen, S. N. Transposable genetic elements and plasmid evolution. Nature 263, 731–738 (1976).CAS 

    Google Scholar 
    Wright, G. D. Environmental and clinical antibiotic resistomes, same only different. Curr. Opin. Microbiol. 51, 57–63 (2019).CAS 

    Google Scholar 
    von Wintersdorff, C. J. et al. Dissemination of antimicrobial resistance in microbial ecosystems through horizontal gene transfer. Front. Microbiol. 7, 173 (2016).PubMed 
    PubMed Central 

    Google Scholar 
    Rankin, D. J., Rocha, E. P. C. & Brown, S. P. What traits are carried on mobile genetic elements, and why? Heredity (Edinb) https://doi.org/10.1038/hdy.2010.24 (2011).Kottara, A., Hall, J. P., Harrison, E. & Brockhurst, M. A. Variable plasmid fitness effects and mobile genetic element dynamics across Pseudomonas species. FEMS Microbiol. Ecol. 94, fix172 (2018).
    Google Scholar 
    Hall, J. P., Wood, A. J., Harrison, E. & Brockhurst, M. A. Source–sink plasmid transfer dynamics maintain gene mobility in soil bacterial communities. Proc. Natl Acad. Sci. USA 113, 8260–8265 (2016).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Hall, J. P. J., Williams, D., Paterson, S., Harrison, E. & Brockhurst, M. A. Positive selection inhibits gene mobilisation and transfer in soil bacterial communities. Nat. Ecol. Evol. 1, 1348–1353 (2017).PubMed 
    PubMed Central 

    Google Scholar 
    Naumann, T. A. & Reznikoff, W. S. Tn5 transposase with an altered specificity for transposon ends. J. Bacteriol. 184, 233–240 (2002).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wang, H. et al. Increased plasmid copy number is essential for Yersinia T3SS function and virulence. Science 353, 492–495 (2016).CAS 

    Google Scholar 
    Sandegren, L. & Andersson, D. I. Bacterial gene amplification: implications for the evolution of antibiotic resistance. Nat. Rev. Microbiol. 7, 578–588 (2009).CAS 

    Google Scholar 
    Dimitriu, T., Mathews, A. C. & Buckling, A. Increased copy number couples the evolution of plasmid horizontal transmission and plasmid-encoded antibiotic resistance. Proc. Natl Acad. Sci. USA 118, e2107818118 (2021).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    De Lorenzo, V., Herrero, M., Jakubzik, U. & Timmis, K. N. Mini-Tn5 transposon derivatives for insertion mutagenesis, promoter probing, and chromosomal insertion of cloned DNA in gram-negative eubacteria. J. Bacteriol. 172, 6568–6572 (1990).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Lichtenstein, C. & Brenner, S. Site-specific properties of Tn7 transposition into the E. coli chromosome. Mol. Gen. Genet. 183, 380–387 (1981).CAS 

    Google Scholar 
    Bethke, J. H. et al. Environmental and genetic determinants of plasmid mobility in pathogenic Escherichia coli. Sci. Adv. 6, eaax3173 (2020).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Mahillon, J. & Chandler, M. Insertion sequences. Microbiol. Mol. Biol. Rev. 62, 725–774 (1998).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Siguier, P., Perochon, J., Lestrade, L., Mahillon, J. & Chandler, M. ISfinder: the reference centre for bacterial insertion sequences. Nucleic Acids Res. 34, D32–D36 (2006).CAS 

    Google Scholar 
    Seelke, R. W., Kline, B. C., Trawick, J. D. & Ritts, G. D. Genetic studies of F plasmid maintenance genes involved in copy number control, incompatability, and partitioning. Plasmid 7, 163–179 (1982).CAS 

    Google Scholar 
    Baba, T. et al. Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection. Mol. Syst. Biol. 2, 2006.0008 (2006).PubMed 
    PubMed Central 

    Google Scholar 
    Watve, M. M., Dahanukar, N. & Watve, M. G. Sociobiological control of plasmid copy number in bacteria. PLoS ONE 5, e9328 (2010).PubMed 
    PubMed Central 

    Google Scholar 
    Lehtinen, S. et al. Horizontal gene transfer rate is not the primary determinant of observed antibiotic resistance frequencies in Streptococcus pneumoniae. Sci. Adv. 6, eaaz6137 (2020).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Ubeda, C. et al. Antibiotic-induced SOS response promotes horizontal dissemination of pathogenicity island-encoded virulence factors in staphylococci. Mol. Microbiol. 56, 836–844 (2005).CAS 

    Google Scholar 
    Beaber, J. W., Hochhut, B. & Waldor, M. K. SOS response promotes horizontal dissemination of antibiotic resistance genes. Nature 427, 72–74 (2004).CAS 

    Google Scholar 
    al‐Masaudi, S. B., Day, M. & Russell, A. D. Effect of some antibiotics and biocides on plasmid transfer in Staphylococcus aureus. J. Appl. Bacteriol. 71, 239–243 (1991).
    Google Scholar 
    Nichols, B. P. & Guay, G. G. Gene amplification contributes to sulfonamide resistance in Escherichia coli. Antimicrob. Agents Chemother. 33, 2042–2048 (1989).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Normark, S., Edlund, T., Grundström, T., Bergström, S. & Wolf-Watz, H. Escherichia coli K-12 mutants hyperproducing chromosomal beta-lactamase by gene repetitions. J. Bacteriol. 132, 912–922 (1977).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Zienkiewicz, M., Kern-Zdanowicz, I., Carattoli, A., Gniadkowski, M. & Cegłowski, P. Tandem multiplication of the IS 26-flanked amplicon with the blaSHV-5 gene within plasmid p1658/97. FEMS Microbiol. Lett. 341, 27–36 (2013).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Matthews, P. R. & Stewart, P. R. Amplification of a section of chromosomal DNA in methicillin-resistant Staphylococcus aureus following growth in high concentrations of methicillin. J. Gen. Microbiol. 134, 1455–1464 (1988).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Sun, S., Berg, O. G., Roth, J. R. & Andersson, D. I. Contribution of gene amplification to evolution of increased antibiotic resistance in Salmonella typhimurium. Genetics 182, 1183–1195 (2009).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Andersson, D. I. & Hughes, D. Gene amplification and adaptive evolution in bacteria. Annu. Rev. Genet. 43, 167–195 (2009).CAS 

    Google Scholar 
    Nicoloff, H., Perreten, V. & Levy, S. B. Increased genome instability in Escherichia coli lon mutants: relation to emergence of multiple-antibiotic-resistant (Mar) mutants caused by insertion sequence elements and large tandem genomic amplifications. Antimicrob. Agents Chemother. 51, 1293–1303 (2007).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Bertini, A. et al. Multicopy blaOXA-58 gene as a source of high-level resistance to carbapenems in Acinetobacter baumannii. Antimicrob. Agents Chemother. 51, 2324–2328 (2007).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Knapp, C. W. et al. Indirect evidence of transposon-mediated selection of antibiotic resistance genes in aquatic systems at low-level oxytetracycline exposures. Environ. Sci. Technol. 42, 5348–5353 (2008).CAS 

    Google Scholar 
    San Millan, A., Escudero, J. A., Gifford, D. R., Mazel, D. & MacLean, R. C. Multicopy plasmids potentiate the evolution of antibiotic resistance in bacteria. Nat. Ecol. Evol. 1, 10 (2016).
    Google Scholar 
    Rodriguez-Beltran, J. et al. Multicopy plasmids allow bacteria to escape from fitness trade-offs during evolutionary innovation. Nat. Ecol. Evol. 2, 873–881 (2018).PubMed 
    PubMed Central 

    Google Scholar 
    Rodríguez-Beltrán, J., DelaFuente, J., León-Sampedro, R., MacLean, R. C. & San Millán, Á. Beyond horizontal gene transfer: the role of plasmids in bacterial evolution. Nat. Rev. Microbiol. 19, 347–359 (2021).
    Google Scholar 
    Frost, L. S., Leplae, R., Summers, A. O. & Toussaint, A. Mobile genetic elements: the agents of open source evolution. Nat. Rev. Microbiol. 3, 722–732 (2005).CAS 

    Google Scholar 
    You, L., Hoonlor, A. & Yin, J. Modeling biological systems using Dynetica—a simulator of dynamic networks. Bioinformatics 19, 435–436 (2003).CAS 

    Google Scholar 
    Afgan, E. et al. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. Nucleic Acids Res. 46, W537–W544 (2018).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wingett, S. W. & Andrews, S. FastQ Screen: a tool for multi-genome mapping and quality control. F1000Res. 7, 1338 (2018).PubMed 
    PubMed Central 

    Google Scholar 
    Blankenberg, D. et al. Manipulation of FASTQ data with Galaxy. Bioinformatics 26, 1783–1785 (2010).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Magoč, T. & Salzberg, S. L. FLASH: fast length adjustment of short reads to improve genome assemblies. Bioinformatics 27, 2957–2963 (2011).PubMed 
    PubMed Central 

    Google Scholar 
    Smith, T., Heger, A. & Sudbery, I. UMI-tools: modeling sequencing errors in unique molecular identifiers to improve quantification accuracy. Genome Res. 27, 491–499 (2017).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Langmead, B., Trapnell, C., Pop, M. & Salzberg, S. L. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol. 10, R25 (2009).Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359 (2012).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Li, H. et al. The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078–2079 (2009).PubMed 
    PubMed Central 

    Google Scholar  More

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    Up for crabs: making a home for red-clawed crustaceans in Taiwan

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    This picture was taken at night in the coastal community of Dakenggu in Yilan County, which is just southeast of Taipei in Taiwan. I’m on the left, working with two other researchers to measure the body size of a red-clawed crab (Chiromantes haematocheir).An old man from the local community told me that years ago, during the breeding season, you could barely cross the road because of all the crabs. He said nobody knows where they all went. They’re an important memory for the local people, and part of the culture here.Habitat loss — especially resulting from the widespread use of concrete — seems to be driving the decline. I’m working with local people to create rocky microhabitats and artificial wetlands for the red-clawed crabs to live in. They’re important scavengers — eating dead animals and other organic matter, breaking it down and playing a key part in the nutrient cycle.Small organisms need our help — they can’t stand up for themselves. But in Taiwan, a lot of people think a coastal villa is more important than a few crabs. Corporations want to build luxury developments in our national parks, and authorities often approve them. I’ve seen so many intact habitats destroyed or covered in concrete.Crabs caught my interest because they were frequent visitors to my dormitory. National Sun Yat-sen University in Kaohsiung sits in a coastal buffer zone between a mountain and the ocean, and land hermit crabs (Coenobita cavipes) have to scurry through it on their way to breed.After watching habitat after habitat destroyed by overdevelopment, I’ve realized that just doing the science is not enough. It doesn’t matter how many papers you publish: you need to connect with people through education and communication. That’s why I decided to do my PhD in social science. And it’s why I believe conservation will be my life’s work.

    Nature 603, 962 (2022)
    doi: https://doi.org/10.1038/d41586-022-00810-3

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    Water shifts the balance of coexistence

    van der Putten, W. H. et al. J. Ecol. 101, 265–276 (2013).Article 

    Google Scholar 
    Smith-Ramesh, L. M. & Reynolds, H. L. J. Veg. Sci. 28, 484–494 (2017).Article 

    Google Scholar 
    De Long, J. R., Fry, E. L., Veen, G. & Kardol, P. Funct. Ecol. 33, 118–128 (2019).Article 

    Google Scholar 
    Pugnaire, F. I. et al. Sci. Adv. 5, eaaz1834 (2019).CAS 
    Article 

    Google Scholar 
    Dudenhöffer, J.-H., Luecke, N. C. & Crawford, K. M. Nat. Ecol. Evol. https://doi.org/10.1038/s41559-022-01700-7 (2022).Article 

    Google Scholar 
    Bever, J. D., Westover, K. M. & Antonovics, J. J. Ecol. 85, 561–573 (1997).Article 

    Google Scholar 
    Crawford, K. M. et al. Ecol. Lett. 22, 1274–1284 (2019).Article 

    Google Scholar 
    Dudenhöffer, J., Ebeling, A., Klein, A., Wagg, C. & Farrer, E. J. Ecol. 106, 230–241 (2018).Article 

    Google Scholar 
    Kandlikar, G. S., Johnson, C. A., Yan, X., Kraft, N. J. B. & Levine, J. M. Ecol. Lett. 22, 1178–1191 (2019).PubMed 

    Google Scholar 
    Nguyen, N. H. et al. Fungal Ecol. 20, 241–248 (2016).Article 

    Google Scholar 
    Rudgers, J. A. et al. Annu. Rev. Ecol. Evol. Syst. 51, 561–586 (2020).Article 

    Google Scholar 
    Ke, P.-J., Zee, P. C. & Fukami, T. New Phytol. 231, 1546–1558 (2021).CAS 
    Article 

    Google Scholar  More

  • in

    Reactive nitrogen restructures and weakens microbial controls of soil N2O emissions

    Steffen, W. et al. Planetary boundaries: guiding human development on a changing planet. Science 347, 1259855 (2015).PubMed 
    PubMed Central 

    Google Scholar 
    Kanter, D. R. et al. Nitrogen pollution policy beyond the farm. Nat. Food 1, 27–32 (2020).
    Google Scholar 
    Tian, H. Q. et al. A comprehensive quantification of global nitrous oxide sources and sinks. Nature 586, 248–256 (2020).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Thompson, R. L. et al. Acceleration of global N2O emissions seen from two decades of atmospheric inversion. Nat. Clim. Change 9, 993–998 (2019).CAS 

    Google Scholar 
    Isobe, K., Allison, S. D., Khalili, B., Martiny, A. C. & Martiny, J. B. H. Phylogenetic conservation of bacterial responses to soil nitrogen addition across continents. Nat. Commun. 10, 2499 (2019).PubMed 
    PubMed Central 

    Google Scholar 
    Dai, Z. M. et al. Long-term nitrogen fertilization decreases bacterial diversity and favors the growth of Actinobacteria and Proteobacteria in agro-ecosystems across the globe. Glob. Change Biol. 24, 3452–3461 (2018).
    Google Scholar 
    Wallenstein, M., Myrold, D., Firestone, M. & Voytek, M. Environmental controls on denitrifying communities and denitrification rates: insights from molecular methods. Ecol. Appl 16, 2143–2152 (2006).PubMed 
    PubMed Central 

    Google Scholar 
    Scheer, C., Fuchs, K., Pelster, D. E. & Butterbach-Bahl, K. Estimating global terrestrial denitrification from measured N2O:(N2O + N2) product ratios. Curr. Opin. Enviro 47, 72–80 (2020).
    Google Scholar 
    Inatomi, M., Hajima, T. & Ito, A. Fraction of nitrous oxide production in nitrification and its effect on total soil emission: a meta-analysis and global-scale sensitivity analysis using a process-based model. PLoS One 14, e0219159 (2019).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Liang, D. & Robertson, G. P. Nitrification is a minor source of nitrous oxide (N2O) in an agricultural landscape and declines with increasing management intensity. Glob. Change Biol. 27, 5599–5613 (2021).
    Google Scholar 
    Zumft, W. G. Cell biology and molecular basis of denitrification. Microbiol Mol. Biol. R. 61, 533–616 (1997).CAS 

    Google Scholar 
    Graf, D. R. H., Jones, C. M. & Hallin, S. Intergenomic comparisons highlight modularity of the denitrification pathway and underpin the importance of community structure for N2O emissions. PLoS One 9, e114118 (2014).PubMed 
    PubMed Central 

    Google Scholar 
    Lycus, P. et al. Phenotypic and genotypic richness of denitrifiers revealed by a novel isolation strategy. ISME J. 11, 2219–2232 (2017).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Roco, C. A., Bergaust, L. L., Bakken, L. R., Yavitt, J. B. & Shapleigh, J. P. Modularity of nitrogen-oxide reducing soil bacteria: linking phenotype to genotype. Environ. Microbiol 19, 2507–2519 (2017).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Hallin, S., Philippot, L., Loffler, F. E., Sanford, R. A. & Jones, C. M. Genomics and ecology of novel N2O-reducing microorganisms. Trends Microbiol 26, 43–55 (2018).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Philippot, L., Andert, J., Jones, C. M., Bru, D. & Hallin, S. Importance of denitrifiers lacking the genes encoding the nitrous oxide reductase for N2O emissions from soil. Glob. Change Biol. 17, 1497–1504 (2011).
    Google Scholar 
    Domeignoz-Horta, L. A. et al. Non-denitrifying nitrous oxide-reducing bacteria—an effective N2O sink in soil. Soil Biol. Biochem 103, 376–379 (2016).CAS 

    Google Scholar 
    Ramirez, K. S., Craine, J. M. & Fierer, N. Consistent effects of nitrogen amendments on soil microbial communities and processes across biomes. Glob. Change Biol. 18, 1918–1927 (2012).
    Google Scholar 
    Leff, J. W. et al. Consistent responses of soil microbial communities to elevated nutrient inputs in grasslands across the globe. Proc. Natl. Acad. Sci. USA 112, 10967–10972 (2015).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Shi, S. et al. The interconnected rhizosphere: high network complexity dominates rhizosphere assemblages. Ecol. Lett. 19, 926–936 (2016).PubMed 
    PubMed Central 

    Google Scholar 
    Huang, R. L. et al. Plant-microbe networks in soil are weakened by century-long use of inorganic fertilizers. Micro. Biotechnol. 12, 1464–1475 (2019).CAS 

    Google Scholar 
    Tylianakis, J. M. & Morris, R. J. Ecological networks across environmental gradients. Annu. Rev. Ecol. Evol. S 48, 25–48 (2017).
    Google Scholar 
    Geisseler, D. & Scow, K. M. Long-term effects of mineral fertilizers on soil microorganisms—a review. Soil Biol. Biochem 75, 54–63 (2014).CAS 

    Google Scholar 
    Simek, M. & Cooper, J. The influence of soil pH on denitrification: progress towards the understanding of this interaction over the last 50 years. Eur. J. Soil Sci. 53, 345–354 (2002).CAS 

    Google Scholar 
    Klemedtsson, L., von Arnold, K., Weslien, P. & Gundersen, P. Soil CN ratio as a scalar parameter to predict nitrous oxide emissions. Glob. Change Biol. 11, 1142–1147 (2005).
    Google Scholar 
    Parn, J. et al. Nitrogen-rich organic soils under warm well-drained conditions are global nitrous oxide emission hotspots. Nat. Commun. 9, 1135 (2018).PubMed 
    PubMed Central 

    Google Scholar 
    Maeda, K. et al. Relative contribution of nirK-and nirS-bacterial denitrifiers as well as fungal denitrifiers to nitrous oxide production from dairy manure compost. Environ. Sci. Technol. 51, 14083–14091 (2017).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Coyotzi, S. et al. Agricultural soil denitrifiers possess extensive nitrite reductase gene diversity. Environ. Microbiol 19, 1189–1208 (2017).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Nadeau, S. A. et al. Metagenomic analysis reveals distinct patterns of denitrification gene abundance across soil moisture, nitrate gradients. Environ. Microbiol 21, 1255–1266 (2019).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Enwall, K., Throbäck, I. N., Stenberg, M., Söderström, M. & Hallin, S. Soil resources influence spatial patterns of denitrifying communities at scales compatible with land management. Appl Environ. Microbiol 76, 2243–2250 (2010).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Jones, C. M. & Hallin, S. Ecological and evolutionary factors underlying global and local assembly of denitrifier communities. ISME J. 4, 633–641 (2010).PubMed 

    Google Scholar 
    Silverman, J. D., Washburne, A. D., Mukherjee, S. & David, L. A. A phylogenetic transform enhances analysis of compositional microbiota data. eLife 6, 5721 (2017).
    Google Scholar 
    Magurran, A. E. & Henderson, P. A. Explaining the excess of rare species in natural species abundance distributions. Nature 422, 714–716 (2003).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Dai, Z. et al. Long-term nitrogen fertilization decreases bacterial diversity and favors the growth of Actinobacteria and Proteobacteriain agro-ecosystems across the globe. Glob. Change Biol. 24, 3452–3461 (2018).
    Google Scholar 
    Fierer, N. et al. Comparative metagenomic, phylogenetic and physiological analyses of soil microbial communities across nitrogen gradients. ISME J. 6, 1007–1017 (2011).PubMed 
    PubMed Central 

    Google Scholar 
    Naether, A. et al. Environmental factors affect acidobacterial communities below the subgroup level in grassland and forest soils. Appl Environ. Microbiol. 78, 7398–7406 (2012).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Navarrete, A. A. et al. Differential response of Acidobacteria subgroups to forest-to-pasture conversion and their biogeographic patterns in the Western Brazilian Amazon. Front. Microbiol. 6, 1443 (2015).PubMed 
    PubMed Central 

    Google Scholar 
    Jones, C. M., Stres, B., Rosenquist, M. & Hallin, S. Phylogenetic analysis of nitrite, nitric oxide, and nitrous oxide respiratory enzymes reveal a complex evolutionary history for denitrification. Mol. Biol. Evol. 25, 1955–1966 (2008).CAS 
    PubMed 

    Google Scholar 
    Kuypers, M. M. M., Marchant, H. K. & Kartal, B. The microbial nitrogen-cycling network. Nat. Rev. Microbiol 16, 263–274 (2018).CAS 
    PubMed 

    Google Scholar 
    Zhou, J., Deng, Y., Luo, F., He, Z. & Yang, Y. Phylogenetic molecular ecological network of soil microbial communities in response to elevated CO2. MBio 2, e00122-00111–e00122-00111 (2011).
    Google Scholar 
    Huang, R. et al. Plant–microbe networks in soil are weakened by century‐long use of inorganic fertilizers. Micro. Biotechnol. 12, 1464–1475 (2019).CAS 

    Google Scholar 
    Bar-Massada, A. Complex relationships between species niches and environmental heterogeneity affect species co-occurrence patterns in modelled and real communities. Proc. Royal Soc. B 282, 20150927 (2015).
    Google Scholar 
    Boccaletti, S., Latora, V., Moreno, Y., Chavez, M. & Hwang, D. U. Complex networks: structure and dynamics. Phys. Rep. 424, 175–308 (2006).
    Google Scholar 
    Yuan, M. M. et al. Climate warming enhances microbial network complexity and stability. Nat. Clim. Change 11, 343–U100 (2021).
    Google Scholar 
    Freilich, S. et al. The large-scale organization of the bacterial network of ecological co-occurrence interactions. Nucleic Acids Res. 38, 3857–3868 (2010).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Samad, M. D. S. et al. Phylogenetic and functional potential links pH and N2O emissions in pasture soils. Sci. Rep. 6, 35990 (2016).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wang, Y. et al. Soil pH as the chief modifier for regional nitrous oxide emissions: new evidence and implications for global estimates and mitigation. Glob. Change Biol. 24, E617–E626 (2018).
    Google Scholar 
    Jones, C. M. et al. Recently identified microbial guild mediates soil N2O sink capacity. Nat. Clim. Change 4, 801–805 (2014).CAS 

    Google Scholar 
    Dorsch, P., Braker, G. & Bakken, L. R. Community-specific pH response of denitrification: experiments with cells extracted from organic soils. FEMS Microbiol Ecol. 79, 530–541 (2012).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Linton, N. F., Machado, P. V. F., Deen, B., Wagner-Riddle, C. & Dunfield, K. E. Long-term diverse rotation alters nitrogen cycling bacterial groups and nitrous oxide emissions after nitrogen fertilization. Soil Biol. Biochem 149, 107917 (2020).CAS 

    Google Scholar 
    Xu, X. Y. et al. nosZ clade II rather than clade I determine in situ N2O emissions with different fertilizer types under simulated climate change and its legacy. Soil Biol. Biochem 150, 107974 (2020).CAS 

    Google Scholar 
    Philippot, L. et al. Loss in microbial diversity affects nitrogen cycling in soil. ISME J. 7, 1609–1619 (2013).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Delgado-Baquerizo, M., Grinyer, J., Reich, P. B. & Singh, B. K. Relative importance of soil properties and microbial community for soil functionality: insights from a microbial swap experiment. Funct. Ecol. 30, 1862–1873 (2016).
    Google Scholar 
    Kottek, M., Grieser, J., Beck, C., Rudolf, B. & Rubel, F. World map of the Köppen–Geiger climate classification updated. Meteorol. Z. 15, 259–263 (2006).
    Google Scholar 
    Lu, C. Q. & Tian, H. Q. Global nitrogen and phosphorus fertilizer use for agriculture production in the past half century: shifted hot spots and nutrient imbalance. Earth Syst. Sci. Data 9, 181–192 (2017).
    Google Scholar 
    Van Meter, K. J., Basu, N. B., Veenstra, J. J. & Burras, C. L. The nitrogen legacy: emerging evidence of nitrogen accumulation in anthropogenic landscapes. Environ. Res. Lett. 11, 035014–035013 (2016).
    Google Scholar 
    Takahashi, S., Tomita, J., Nishioka, K., Hisada, T. & Nishijima, M. Development of a prokaryotic universal primer for simultaneous analysis of bacteria and archaea using next-generation sequencing. PLoS One 9, e105592 (2014).PubMed 
    PubMed Central 

    Google Scholar 
    Zhang, J., Kobert, K., Flouri, T. & Stamatakis, A. PEAR: a fast and accurate illumina paired-end reAd mergeR. Bioinformatics 30, 614–620 (2014).CAS 
    PubMed 

    Google Scholar 
    Rognes, T., Flouri, T., Nichols, B., Quince, C. & Mahé, F. VSEARCH: a versatile open source tool for metagenomics. PeerJ 4, e2584 (2016).PubMed 
    PubMed Central 

    Google Scholar 
    Pruesse, E., Peplies, J. & Glöckner, F. O. SINA: accurate high-throughput multiple sequence alignment of ribosomal RNA genes. Bioinformatics 28, 1823–1829 (2012).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Ludwig, W. et al. ARB: a software environment for sequence data. Nucleic Acids Res. 32, 1363–1371 (2004).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Oksanen J. vegan: Community Ecology Package version 1.8–5 (Semantic Scholar, 2007).McMurdie, P. J. & Holmes, S. phyloseq: An R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One 8, e61217 (2013).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Kembel, S. W. et al. Picante: R tools for integrating phylogenies and ecology. Bioinformatics 26, 1463–1464 (2010).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Palarea-Albaladejo, J. & Martin-Fernandez, J. A. zCompositions—R package for multivariate imputation of left-censored data under a compositional approach. Chemom. Intell. Lab 143, 85–96 (2015).CAS 

    Google Scholar 
    Kuznetsova, A., Brockhoff, P. B. & Christensen, R. H. B. lmerTest package: tests in linear mixed effects models. J. Stat. Softw. 82, 1–26 (2017).
    Google Scholar 
    Csardi, G. & Nepusz, T. The igraph software package for complex network research. Int. J. Complex Syst. 1695, 1–9 (2006).
    Google Scholar 
    Menzel, U. RMThreshold: Signal-Noise Separation in Random Matrices by Using Eigenvalue. R Package Version 1.1 edn. https://rdrr.io/cran/RMThreshold/man/RMThreshold-package.html (2016).Gu, Z. G., Gu, L., Eils, R., Schlesner, M. & Brors, B. circlize implements and enhances circular visualization in R. Bioinformatics 30, 2811–2812 (2014).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Goenawan, I. H., Bryan, K. & Lynn, D. J. DyNet: visualization and analysis of dynamic molecular interaction networks. Bioinformatics 32, 2713–2715 (2016).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Jones, C. M. & Hallin, S. Geospatial variation in co-occurrence networks of nitrifying microbial guilds. Mol. Ecol. 28, 293–306 (2019).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Newman, M. E. J. & Girvan, M. Finding and evaluating community structure in networks. Phys. Rev. E 69, 268–215 (2004).
    Google Scholar 
    Deng, Y. et al. Molecular ecological network analyses. BMC Bioinform. 13, 113 (2012).
    Google Scholar 
    Elith, J., Leathwick, J. R. & Hastie, T. A working guide to boosted regression trees. J. Anim. Ecol. 77, 802–813 (2008).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Dormann, C. F. et al. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36, 27–46 (2012).
    Google Scholar 
    Kuhn, M. Building predictive models in R using the caret package. J. Stat. Softw. 28, 1–26 (2008).
    Google Scholar 
    Greenwell, B. M. & Boehmke, B. C. Variable importance plots-an introduction to the vip package. R. J. 12, 343–366 (2020).
    Google Scholar 
    Molnar, C. iml: An R package for Interpretable. Mach. Learn. J. Open Source Softw. 3, 786 (2018).
    Google Scholar  More