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dc.contributor.authorLui, Lauren M.
dc.contributor.authorMajumder, Erica L.-W.
dc.contributor.authorSmith, Heidi J.
dc.contributor.authorCarlson, Hans K.
dc.contributor.authorvon Netzer, Frederick
dc.contributor.authorFields, Matthew W.
dc.contributor.authorStahl, David A.
dc.contributor.authorZhou, Jizhong
dc.contributor.authorHazen, Terry C.
dc.contributor.authorBaliga, Nitin S.
dc.contributor.authorAdams, Paul D.
dc.contributor.authorArkin, Adam P.
dc.identifier.citationLui LM, Majumder EL-W, Smith HJ, Carlson HK, von Netzer F, Fields MW, Stahl DA, Zhou J, Hazen TC, Baliga NS, Adams PD and Arkin AP (2021) Mechanism Across Scales: A Holistic Modeling Framework Integrating Laboratory and Field Studies for Microbial Ecology. Front. Microbiol. 12:642422. doi: 10.3389/fmicb.2021.642422en_US
dc.description.abstractOver the last century, leaps in technology for imaging, sampling, detection, high-throughput sequencing, and -omics analyses have revolutionized microbial ecology to enable rapid acquisition of extensive datasets for microbial communities across the ever-increasing temporal and spatial scales. The present challenge is capitalizing on our enhanced abilities of observation and integrating diverse data types from different scales, resolutions, and disciplines to reach a causal and mechanistic understanding of how microbial communities transform and respond to perturbations in the environment. This type of causal and mechanistic understanding will make predictions of microbial community behavior more robust and actionable in addressing microbially mediated global problems. To discern drivers of microbial community assembly and function, we recognize the need for a conceptual, quantitative framework that connects measurements of genomic potential, the environment, and ecological and physical forces to rates of microbial growth at specific locations. We describe the Framework for Integrated, Conceptual, and Systematic Microbial Ecology (FICSME), an experimental design framework for conducting process-focused microbial ecology studies that incorporates biological, chemical, and physical drivers of a microbial system into a conceptual model. Through iterative cycles that advance our understanding of the coupling across scales and processes, we can reliably predict how perturbations to microbial systems impact ecosystem-scale processes or vice versa. We describe an approach and potential applications for using the FICSME to elucidate the mechanisms of globally important ecological and physical processes, toward attaining the goal of predicting the structure and function of microbial communities in chemically complex natural environments.en_US
dc.publisherFrontiers Media SAen_US
dc.rightsCreative Commons Attribution License (CC BY)en_US
dc.titleMechanism Across Scales: A Holistic Modeling Framework Integrating Laboratory and Field Studies for Microbial Ecologyen_US
mus.citation.journaltitleFrontiers in Microbiologyen_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentCenter for Biofilm Engineering.en_US
mus.relation.departmentMicrobiology & Cell Biology.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.relation.researchgroupCenter for Biofilm Engineering.en_US

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