摘要
Soil stores more carbon (C) than all vegetation and the atmosphere combined. Soil C stocks are broadly shaped by temperature, moisture, soil physical characteristics, vegetation, and microbial-mediated metabolic processes. The efficiency with which microorganisms use soil C regulates the balance between C storage in soil and the atmosphere. In this review, we discuss how microbial physiology and community assembly processes determine microbial growth rate and efficiency and, in turn, soil organic C cycling through the lens of community ecology. We introduce a conceptual framework cataloging life history (i.e., growth rate, resource acquisition, and stress tolerance) and assembly traits (i.e., competition, facilitation, and dispersal) that correspond with different growth efficiencies. We also compare how dominant mycorrhizal fungal type affects growth efficiency. We propose that further development and inclusion of specific community parameters in microbial-explicit Earth system models are needed for accurately predicting soil organic C responses to global change. Soil stores more carbon (C) than all vegetation and the atmosphere combined. Soil C stocks are broadly shaped by temperature, moisture, soil physical characteristics, vegetation, and microbial-mediated metabolic processes. The efficiency with which microorganisms use soil C regulates the balance between C storage in soil and the atmosphere. In this review, we discuss how microbial physiology and community assembly processes determine microbial growth rate and efficiency and, in turn, soil organic C cycling through the lens of community ecology. We introduce a conceptual framework cataloging life history (i.e., growth rate, resource acquisition, and stress tolerance) and assembly traits (i.e., competition, facilitation, and dispersal) that correspond with different growth efficiencies. We also compare how dominant mycorrhizal fungal type affects growth efficiency. We propose that further development and inclusion of specific community parameters in microbial-explicit Earth system models are needed for accurately predicting soil organic C responses to global change. Globally, the top two meters of soil store ∼2,500 Pg of soil organic carbon (SOC),1Köchy M. Hiederer R. Freibauer A. Global distribution of soil organic carbon—Part 1: masses and frequency distributions of SOC stocks for the tropics, permafrost regions, wetlands, and the world.Soil. 2015; 1: 351-365Crossref Scopus (107) Google Scholar whereas vegetation only holds ∼600 Pg of carbon (C).2Ciais P. Sabine C. Bala G. Bopp L. Brovkin V. Canadell J. Chhabra A. DeFries R. 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Wieder W.R. et al.Multiple models and experiments underscore large uncertainty in soil carbon dynamics.Biogeochemistry. 2018; 141: 109-123Crossref Scopus (28) Google Scholar Soil microorganisms govern the balance of C between soil organic matter (SOM) and atmospheric C pools. In each handful of soil there are thousands of microbial species,7Locey K.J. Lennon J.T. Scaling laws predict global microbial diversity.Proc. Natl. Acad. Sci. USA. 2016; 113: 5970Crossref PubMed Google Scholar,8Larsen B.B. Miller E.C. Rhodes M.K. Wiens J.J. Inordinate fondness multiplied and redistributed: the number of species on earth and the new pie of life.Q. Rev. Biol. 2017; 92: 229-265Crossref Scopus (48) Google Scholar and their growth and death drive the formation of SOC.9Kallenbach C.M. Frey S.D. Grandy A.S. Direct evidence for microbial-derived soil organic matter formation and its ecophysiological controls.Nat. 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Evidence from chronosequence studies for a low carbon-storage potential of soils.Nature. 1990; 348: 232-234Crossref Scopus (537) Google Scholar microbial compounds can stabilize in soil upon immediate introduction13Creamer C.A. Foster A.L. Lawrence C. McFarland J. Schulz M. Waldrop M.P. Mineralogy dictates the initial mechanism of microbial necromass association.Geochim. Cosmochim. Acta. 2019; 260: 161-176Crossref Scopus (0) Google Scholar and advance C sequestration.9Kallenbach C.M. Frey S.D. Grandy A.S. Direct evidence for microbial-derived soil organic matter formation and its ecophysiological controls.Nat. Commun. 2016; 7: 13630Crossref PubMed Scopus (228) Google Scholar,14Kravchenko A.N. Guber A.K. Razavi B.S. Koestel J. Quigely M.Y. Robertson G.P. Kuzyakov Y. Microbial spatial footprint as a driver of soil carbon stabilization.Nat. Commun. 2019; 10: 3121Crossref PubMed Scopus (8) Google Scholar Since most microbial-derived SOM is in the form of small, charged compounds, it adsorbs to active sites on clays and metal precipitates.15Jilling A. Keiluweit M. Contosta A.R. Frey S. Schimel J. Schnecker J. Smith R.G. Tiemann L. Grandy A.S. Minerals in the rhizosphere: overlooked mediators of soil nitrogen availability to plants and microbes.Biogeochemistry. 2018; 139: 103-122Crossref Scopus (27) Google Scholar,16Liang C. Amelung W. Lehmann J. Kästner M. Quantitative assessment of microbial necromass contribution to soil organic matter.Glob. Change Biol. 2019; 25: 3578-3590Crossref PubMed Scopus (5) Google Scholar These organo-mineral complexes can remain bound for millennia and are thus critical to soil C sequestration.17Lal R. Negassa W. Lorenz K. Carbon sequestration in soil.Curr. Opin. Environ. 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Integrating microbial physiology and physio-chemical principles in soils with the MIcrobial-MIneral Carbon Stabilization (MIMICS) model.Biogeosciences. 2014; 11: 3899-3917Crossref Scopus (101) Google Scholar Controls over microbial metabolism and, in turn, the production of microbial-derived SOM are at the frontier of C-cycling research.6Sulman B.N. Moore J.A.M. Abramoff R. Averill C. Kivlin S. Georgiou K. Sridhar B. Hartman M.D. Wang G. Wieder W.R. et al.Multiple models and experiments underscore large uncertainty in soil carbon dynamics.Biogeochemistry. 2018; 141: 109-123Crossref Scopus (28) Google Scholar Plant polymers that resist decomposition were previously thought to comprise most of SOM due to chemical recalcitrance.28Kögel I. Estimation and decomposition pattern of the lignin component in forest humus layers.Soil Biol. 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Conceptualizing soil organic matter into particulate and mineral-associated forms to address global change in the 21st century.Glob. Change Biol. 2019; 26: 261-273Crossref PubMed Scopus (4) Google Scholar The slow turnover of mineral-associated organic matter has created a paradigm shift in SOM research, which inspired investigations into understanding constraints over microbial metabolism and, specifically, biomass production.25Manzoni S. Taylor P. Richter A. Porporato A. Ågren G.I. Environmental and stoichiometric controls on microbial carbon-use efficiency in soils.New Phytol. 2012; 196: 79-91Crossref PubMed Scopus (477) Google Scholar Recent estimates suggest that >50% of SOM is derived from microbial exudates and necromass,29Simpson A.J. Song G. Smith E. Lam B. Novotny E.H. Hayes M.H.B. Unraveling the structural components of soil humin by use of solution-state nuclear magnetic resonance spectroscopy.Environ. Sci. 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Microbial growth rate varies by orders of magnitude across lineages,34Roller B.R.K. Stoddard S.F. Schmidt T.M. Exploiting rRNA operon copy number to investigate bacterial reproductive strategies.Nat. Microbiol. 2016; 1: e16160Crossref PubMed Scopus (0) Google Scholar and some species respire nearly all of the energy they metabolize (low growth efficiency) while others allocate the majority of their energy to biomass production (high growth efficiency).35Saifuddin M. Bhatnagar J.M. Segrè D. Finzi A.C. Microbial carbon use efficiency predicted from genome-scale metabolic models.Nat. Commun. 2019; 10: 1-10Crossref PubMed Scopus (2) Google Scholar,36Pold G. Domeignoz-Horta L.A. Morrison E.W. Frey S.D. Sistla S.A. DeAngelis K.M. Carbon use efficiency and its temperature sensitivity covary in soil bacteria.mBio. 2020; 11https://doi.org/10.1128/mBio.02293-19Crossref PubMed Scopus (0) Google Scholar The accumulation of large-scale microbial biogeography, as assessed using molecular techniques based on ribosomal DNA, has clearly shown that species and ecological guilds are organized via hierarchical assembly processes.37Nemergut D.R. Schmidt S.K. Fukami T. O"Neill S.P. Bilinski T.M. Stanish L.F. Knelman J.E. Darcy J.L. Lynch R.C. Wickey P. Ferrenberg S. Patterns and processes of microbial community assembly.Microbiol. Mol. Biol. Rev. 2013; 77: 342-356Crossref PubMed Scopus (418) Google Scholar This suggests that knowing where organisms live could help to predict SOC cycling.38Crowther T.W. van den Hoogen J. Wan J. Mayes M.A. Keiser A.D. Mo L. Averill C. Maynard D.S. 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Microbiol. 2010; 8: 15-25Crossref PubMed Scopus (0) Google Scholar Since species must balance investment into growth, dispersal, stress tolerance, resource acquisition, and competitive and facilitative abilities, tradeoffs among these investments affect microbial metabolism and, in turn, SOC cycling (Figure 1). In this review, we synthesize how the assembly and life-history composition of soil microbial communities influence the production of necromass and by-products that become SOM. Since SOM is the repository for SOC, we primarily discuss SOM but address SOM and SOC throughout. Recent insights into SOM chemistry via spectroscopy and microbial assembly via molecular analyses—much of which are context specific—have not been well integrated. We argue that it is essential to better merge these areas of research in order to guide cohesive development in SOC research. At a time of unprecedented global change, it is critical to have a solid conceptual basis upon which we can predict SOC responses to different global change scenarios. Fundamentally, microbial SOM formation is an outcome of microbial growth, which is frequently represented by growth rate and efficiency. Whole soil growth efficiency is primarily modeled as the proportion of C that is incorporated into biomass versus respiration (i.e., C use efficiency), with this value ranging between <0.1 and >0.9 for individual organisms and typically between 0.25 and 0.8 for whole communities depending on community structure, substrate type, and environmental conditions.25Manzoni S. Taylor P. Richter A. Porporato A. Ågren G.I. Environmental and stoichiometric controls on microbial carbon-use efficiency in soils.New Phytol. 2012; 196: 79-91Crossref PubMed Scopus (477) Google Scholar,43Qiao Y. Wang J. Liang G. Du Z. Zhou J. Zhu C. Huang K. Zhou X. Luo Y. 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Promising new strategies incorporate microbial life-history traits that constrain microbial growth efficiency (see conceptual outline in Figure 1), and we build upon these frameworks in this review to include more specific elements based on community assembly, in addition to critiquing particular assumptions that are not supported by new data. A number of different frameworks broadly consider tradeoffs among growth rate, resource acquisition, and stress tolerance.27Wieder W.R. Grandy A.S. Kallenbach C.M. Bonan G.B. Integrating microbial physiology and physio-chemical principles in soils with the MIcrobial-MIneral Carbon Stabilization (MIMICS) model.Biogeosciences. 2014; 11: 3899-3917Crossref Scopus (101) Google Scholar,47Chagnon P.-L. Bradley R.L. Maherali H. Klironomos J.N. A trait-based framework to understand life history of mycorrhizal fungi.Trends Plant Sci. 2013; 18: 484-491Abstract Full Text Full Text PDF PubMed Scopus (0) Google Scholar, 48Malik A.A. Puissant J. 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Integrating microbial physiology and physio-chemical principles in soils with the MIcrobial-MIneral Carbon Stabilization (MIMICS) model.Biogeosciences. 2014; 11: 3899-3917Crossref Scopus (101) Google Scholar In culture studies there is mixed evidence for growth-rate-efficiency tradeoffs as represented in MIMICS.34Roller B.R.K. Stoddard S.F. Schmidt T.M. Exploiting rRNA operon copy number to investigate bacterial reproductive strategies.Nat. Microbiol. 2016; 1: e16160Crossref PubMed Scopus (0) Google Scholar,36Pold G. Domeignoz-Horta L.A. Morrison E.W. Frey S.D. Sistla S.A. DeAngelis K.M. Carbon use efficiency and its temperature sensitivity covary in soil bacteria.mBio. 2020; 11https://doi.org/10.1128/mBio.02293-19Crossref PubMed Scopus (0) Google Scholar,52Muscarella M.E. Lennon J.T. 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MSc thesis (University of New Hampshire).Google Scholar Across heterotrophic bacterial and fungal culture lines, growth rate and efficiency can be positively correlated,36Pold G. Domeignoz-Horta L.A. Morrison E.W. Frey S.D. Sistla S.A. DeAngelis K.M. Carbon use efficiency and its temperature sensitivity covary in soil bacteria.mBio. 2020; 11https://doi.org/10.1128/mBio.02293-19Crossref PubMed Scopus (0) Google Scholar,49Whit