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Assessing mechanisms for microbial taxa and community dynamics using process models

mLife 2023年第3期2卷 239-252页

作者： Linwei Wu Yunfeng Yang Daliang Ning Qun Gao Huaqun Yin Naija Xiao benjamin yzhou Si Chen Qiang He Jizhong Zhou Institute of Ecology Key Laboratory for Earth Surface Processes of the Ministry of EducationCollege of Urban and Environmental SciencesPeking UniversityBeijingChina Institute for Environmental Genomics University of OklahomaNormanOKUSA Department of Microbiology and Plant Biology University of OklahomaNormanOKUSA State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijingChina School of Minerals Processing and Bioengineering Central South UniversityChangshaChina Department of Mathematics Lunt HallNorthwestern UniversityEvanstonIllinoisUSA Department of Civil and Environmental Engineering The University of TennesseeKnoxvilleTennesseeUSA Institute for a Secure and Sustainable Environment The University of TennesseeKnoxvilleTennesseeUSA School of Civil Engineering and Environmental Sciences University of OklahomaNormanOklahomaUSA Earth and Environmental Sciences Lawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA School of Computer Science University of OklahomaNormanOKUSA

Disentangling the assembly mechanisms controlling community composition,structure,distribution,functions,and dynamics is a central issue in *** various approaches have been proposed to examine community assembly mechanisms,quanti-tative characterization is challenging,particularly in microbial ***,we present a novel approach for quantitatively delineating community assembly mechanisms by combining the consumer–resource model with a neutral model in stochastic differential *** time-series data from anaerobic bioreactors that target microbial 16S rRNA genes,we tested the applicability of three ecological models:the consumer–resource model,the neutral model,and the combined *** results revealed that model performances varied substantially as a function of population abundance and/or process *** combined model performed best for abundant taxa in the treatment bioreactors where process conditions were *** contrast,the neutral model showed the best performance for rare *** analysis further indicated that immigration rates decreased with taxa abundance and com-petitions between taxa were strongly correlated with phylogeny,but within a certain phylogenetic distance *** determinism underlying taxa and community dynamics were quantitatively assessed,showing greater determinism in the treatment bioreactors that aligned with the subsequent abnormal system *** its mechanistic basis,the framework developed here is expected to be potentially applicable beyond microbial ecology.

关键词： community assembly mechanisms consumer-resource model neutral model species dynamics

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