Show simple item record

dc.contributor.authorHunt, Kristopher A.
dc.contributor.authorJennings, Ryan deM.
dc.contributor.authorInskeep, William P.
dc.contributor.authorCarlson, Ross P.
dc.date.accessioned2019-04-04T19:14:35Z
dc.date.available2019-04-04T19:14:35Z
dc.date.issued2018-09
dc.identifier.citationHunt, Kristopher A., Ryan M. Jennings, William P. Inskeep, and Ross P. Carlson. "Multiscale analysis of autotroph-heterotroph interactions in a high-temperature microbial community." PLoS Computational Biology 14, no. 9 (September 2018). DOI:10.1371/journal.pcbi.1006431.en_US
dc.identifier.issn1553-734X
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/15400
dc.description.abstractInteractions among microbial community members can lead to emergent properties, such as enhanced productivity, stability, and robustness. Iron-oxide mats in acidic (pH 2–4), high-temperature (> 65 °C) springs of Yellowstone National Park contain relatively simple microbial communities and are well-characterized geochemically. Consequently, these communities are excellent model systems for studying the metabolic activity of individual populations and key microbial interactions. The primary goals of the current study were to integrate data collected in situ with in silico calculations across process-scales encompassing enzymatic activity, cellular metabolism, community interactions, and ecosystem biogeochemistry, as well as to predict and quantify the functional limits of autotroph-heterotroph interactions. Metagenomic and transcriptomic data were used to reconstruct carbon and energy metabolisms of an important autotroph (Metallosphaera yellowstonensis) and heterotroph (Geoarchaeum sp. OSPB) from the studied Fe(III)-oxide mat communities. Standard and hybrid elementary flux mode and flux balance analyses of metabolic models predicted cellular- and community-level metabolic acclimations to simulated environmental stresses, respectively. In situ geochemical analyses, including oxygen depth-profiles, Fe(III)-oxide deposition rates, stable carbon isotopes and mat biomass concentrations, were combined with cellular models to explore autotroph-heterotroph interactions important to community structure-function. Integration of metabolic modeling with in situ measurements, including the relative population abundance of autotrophs to heterotrophs, demonstrated that Fe(III)-oxide mat communities operate at their maximum total community growth rate (i.e. sum of autotroph and heterotroph growth rates), as opposed to net community growth rate (i.e. total community growth rate subtracting autotroph consumed by heterotroph), as predicted from the maximum power principle. Integration of multiscale data with ecological theory provides a basis for predicting autotroph-heterotroph interactions and community-level cellular organization.en_US
dc.description.sponsorshipNational Science Foundation Integrative Graduate Education and Research Training Program (DGE 0654336); National Institutes of Health (U01EB019416); Army Research Office (W911NF-16-1-0463); National Science Foundation (award number 1413321); WPIen_US
dc.language.isoenen_US
dc.rightsCC BY: This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and useen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcodeen_US
dc.titleMultiscale analysis of autotroph-heterotroph interactions in a high-temperature microbial communityen_US
dc.typeArticleen_US
mus.citation.issue9en_US
mus.citation.journaltitlePLoS Computational Biologyen_US
mus.citation.volume14en_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.identifier.doi10.1371/journal.pcbi.1006431en_US
mus.relation.collegeCollege of Agricultureen_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentCenter for Biofilm Engineering.en_US
mus.relation.departmentChemical & Biological Engineering.en_US
mus.relation.departmentLand Resources & Environmental Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.relation.researchgroupCenter for Biofilm Engineering.en_US
mus.relation.researchgroupThermal Biology Institute (TBI).en_US
mus.data.thumbpage5en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

CC BY: This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use
Except where otherwise noted, this item's license is described as CC BY: This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use

MSU uses DSpace software, copyright © 2002-2017  Duraspace. For library collections that are not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material.