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dc.contributor.authorCampbell, T.P.
dc.contributor.authorUlrich, D.E.M.
dc.contributor.authorToyoda, J.
dc.contributor.authorThompson, J.
dc.contributor.authorMunsky, B.
dc.contributor.authorAlbright, M.B.N.
dc.contributor.authorBailey, V.L.
dc.contributor.authorTfaily, M.M.
dc.contributor.authorDunbar, J.
dc.date.accessioned2022-03-17T01:57:04Z
dc.date.available2022-03-17T01:57:04Z
dc.date.issued2022
dc.identifier.citationCampbell, T. P., Ulrich, D. E. M., Toyoda, J., Thompson, J., Munsky, B., Albright, M. B. N., Bailey, V. L., Tfaily, M. M., & Dunbar, J. (2022). Microbial Communities Influence Soil Dissolved Organic Carbon Concentration by Altering Metabolite Composition. Frontiers in Microbiology.
dc.identifier.issn1664-302X
dc.identifier.doi10.3389/fmicb.2021.799014
dc.identifier.urihttp://hdl.handle.net/10150/663589
dc.description.abstractRapid microbial growth in the early phase of plant litter decomposition is viewed as an important component of soil organic matter (SOM) formation. However, the microbial taxa and chemical substrates that correlate with carbon storage are not well resolved. The complexity of microbial communities and diverse substrate chemistries that occur in natural soils make it difficult to identify links between community membership and decomposition processes in the soil environment. To identify potential relationships between microbes, soil organic matter, and their impact on carbon storage, we used sand microcosms to control for external environmental factors such as changes in temperature and moisture as well as the variability in available carbon that exist in soil cores. Using Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) on microcosm samples from early phase litter decomposition, we found that protein- and tannin-like compounds exhibited the strongest correlation to dissolved organic carbon (DOC) concentration. Proteins correlated positively with DOC concentration, while tannins correlated negatively with DOC. Through random forest, neural network, and indicator species analyses, we identified 42 bacterial and 9 fungal taxa associated with DOC concentration. The majority of bacterial taxa (26 out of 42 taxa) belonged to the phylum Proteobacteria while all fungal taxa belonged to the phylum Ascomycota. Additionally, we identified significant connections between microorganisms and protein-like compounds and found that most taxa (12/14) correlated negatively with proteins indicating that microbial consumption of proteins is likely a significant driver of DOC concentration. This research links DOC concentration with microbial production and/or decomposition of specific metabolites to improve our understanding of microbial metabolism and carbon persistence. Copyright © 2022 Campbell, Ulrich, Toyoda, Thompson, Munsky, Albright, Bailey, Tfaily and Dunbar.
dc.language.isoen
dc.publisherFrontiers Media S.A.
dc.rightsCopyright © 2022 Campbell, Ulrich, Toyoda, Thompson, Munsky, Albright, Bailey, Tfaily and Dunbar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectbacteria
dc.subjectDOC
dc.subjectFTICR mass spectrometry
dc.subjectfungi
dc.subjectmetabolites
dc.subjectmicrobial communities
dc.titleMicrobial Communities Influence Soil Dissolved Organic Carbon Concentration by Altering Metabolite Composition
dc.typeArticle
dc.typetext
dc.contributor.departmentDepartment of Environmental Science, The University of Arizona
dc.identifier.journalFrontiers in Microbiology
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal published version
dc.source.journaltitleFrontiers in Microbiology
refterms.dateFOA2022-03-17T01:57:04Z


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Copyright © 2022 Campbell, Ulrich, Toyoda, Thompson, Munsky, Albright, Bailey, Tfaily and Dunbar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Except where otherwise noted, this item's license is described as Copyright © 2022 Campbell, Ulrich, Toyoda, Thompson, Munsky, Albright, Bailey, Tfaily and Dunbar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).