Distinct Assembly Processes and Microbial Communities Constrain Soil Organic Carbon Formation

土壤碳 环境科学 碳纤维 碳循环 环境化学 总有机碳 微生物种群生物学 地球科学 生态学 土壤科学 化学 土壤水分 生物 生态系统 地质学 材料科学 古生物学 细菌 复合材料 复合数
作者
Mark Anthony,Thomas W. Crowther,Daniel S. Maynard,Johan van den Hoogen,Colin Averill
出处
期刊:One earth [Elsevier BV]
卷期号:2 (4): 349-360 被引量:131
标识
DOI:10.1016/j.oneear.2020.03.006
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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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. 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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. Trait-based approach to bacterial growth efficiency.BioRxiv. 2018; (427161)https://doi.org/10.1101/427161Crossref Google Scholar Species that grow quickly must produce ample ATP to fuel growth, which is not an efficient biosynthetic process,53Pfeiffer T. Bonhoeffer S. Evolutionary consequences of tradeoffs between yield and rate of ATP production.Z. Phys. Chem. 2002; 216: 51Crossref Google Scholar and species in culture are generally selected for fast rather than efficient growth.50Novak M. Pfeiffer T. Lenski R.E. Sauer U. Bonhoeffer S. Experimental tests for an evolutionary trade-off between growth rate and yield in E. coli.Am. Nat. 2006; 168: 242-251Crossref PubMed Scopus (0) Google Scholar,53Pfeiffer T. Bonhoeffer S. Evolutionary consequences of tradeoffs between yield and rate of ATP production.Z. Phys. 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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
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Encyclopedia of Mathematical Physics 2nd edition 888
Technologies supporting mass customization of apparel: A pilot project 600
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Political Ideologies Their Origins and Impact 13 edition 240
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