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Life history strategies among soil bacteria—dichotomy for few, continuum for many

Study of life history strategies may help predict the performance of microorganisms in nature by organizing the complexity of microbial communities into groups of organisms with similar strategies. Here, we tested the extent that one common application of life history theory, the copiotroph-oligotro...

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Autores principales: Stone, Bram W. G., Dijkstra, Paul, Finley, Brianna K., Fitzpatrick, Raina, Foley, Megan M., Hayer, Michaela, Hofmockel, Kirsten S., Koch, Benjamin J., Li, Junhui, Liu, Xiao Jun A., Martinez, Ayla, Mau, Rebecca L., Marks, Jane, Monsaint-Queeney, Victoria, Morrissey, Ember M., Propster, Jeffrey, Pett-Ridge, Jennifer, Purcell, Alicia M., Schwartz, Egbert, Hungate, Bruce A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030646/
https://www.ncbi.nlm.nih.gov/pubmed/36732614
http://dx.doi.org/10.1038/s41396-022-01354-0
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author Stone, Bram W. G.
Dijkstra, Paul
Finley, Brianna K.
Fitzpatrick, Raina
Foley, Megan M.
Hayer, Michaela
Hofmockel, Kirsten S.
Koch, Benjamin J.
Li, Junhui
Liu, Xiao Jun A.
Martinez, Ayla
Mau, Rebecca L.
Marks, Jane
Monsaint-Queeney, Victoria
Morrissey, Ember M.
Propster, Jeffrey
Pett-Ridge, Jennifer
Purcell, Alicia M.
Schwartz, Egbert
Hungate, Bruce A.
author_facet Stone, Bram W. G.
Dijkstra, Paul
Finley, Brianna K.
Fitzpatrick, Raina
Foley, Megan M.
Hayer, Michaela
Hofmockel, Kirsten S.
Koch, Benjamin J.
Li, Junhui
Liu, Xiao Jun A.
Martinez, Ayla
Mau, Rebecca L.
Marks, Jane
Monsaint-Queeney, Victoria
Morrissey, Ember M.
Propster, Jeffrey
Pett-Ridge, Jennifer
Purcell, Alicia M.
Schwartz, Egbert
Hungate, Bruce A.
author_sort Stone, Bram W. G.
collection PubMed
description Study of life history strategies may help predict the performance of microorganisms in nature by organizing the complexity of microbial communities into groups of organisms with similar strategies. Here, we tested the extent that one common application of life history theory, the copiotroph-oligotroph framework, could predict the relative population growth rate of bacterial taxa in soils from four different ecosystems. We measured the change of in situ relative growth rate to added glucose and ammonium using both (18)O–H(2)O and (13)C quantitative stable isotope probing to test whether bacterial taxa sorted into copiotrophic and oligotrophic groups. We saw considerable overlap in nutrient responses across most bacteria regardless of phyla, with many taxa growing slowly and few taxa that grew quickly. To define plausible life history boundaries based on in situ relative growth rates, we applied Gaussian mixture models to organisms’ joint (18)O–(13)C signatures and found that across experimental replicates, few taxa could consistently be assigned as copiotrophs, despite their potential for fast growth. When life history classifications were assigned based on average relative growth rate at varying taxonomic levels, finer resolutions (e.g., genus level) were significantly more effective in capturing changes in nutrient response than broad taxonomic resolution (e.g., phylum level). Our results demonstrate the difficulty in generalizing bacterial life history strategies to broad lineages, and even to single organisms across a range of soils and experimental conditions. We conclude that there is a continued need for the direct measurement of microbial communities in soil to advance ecologically realistic frameworks.
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spelling pubmed-100306462023-03-23 Life history strategies among soil bacteria—dichotomy for few, continuum for many Stone, Bram W. G. Dijkstra, Paul Finley, Brianna K. Fitzpatrick, Raina Foley, Megan M. Hayer, Michaela Hofmockel, Kirsten S. Koch, Benjamin J. Li, Junhui Liu, Xiao Jun A. Martinez, Ayla Mau, Rebecca L. Marks, Jane Monsaint-Queeney, Victoria Morrissey, Ember M. Propster, Jeffrey Pett-Ridge, Jennifer Purcell, Alicia M. Schwartz, Egbert Hungate, Bruce A. ISME J Article Study of life history strategies may help predict the performance of microorganisms in nature by organizing the complexity of microbial communities into groups of organisms with similar strategies. Here, we tested the extent that one common application of life history theory, the copiotroph-oligotroph framework, could predict the relative population growth rate of bacterial taxa in soils from four different ecosystems. We measured the change of in situ relative growth rate to added glucose and ammonium using both (18)O–H(2)O and (13)C quantitative stable isotope probing to test whether bacterial taxa sorted into copiotrophic and oligotrophic groups. We saw considerable overlap in nutrient responses across most bacteria regardless of phyla, with many taxa growing slowly and few taxa that grew quickly. To define plausible life history boundaries based on in situ relative growth rates, we applied Gaussian mixture models to organisms’ joint (18)O–(13)C signatures and found that across experimental replicates, few taxa could consistently be assigned as copiotrophs, despite their potential for fast growth. When life history classifications were assigned based on average relative growth rate at varying taxonomic levels, finer resolutions (e.g., genus level) were significantly more effective in capturing changes in nutrient response than broad taxonomic resolution (e.g., phylum level). Our results demonstrate the difficulty in generalizing bacterial life history strategies to broad lineages, and even to single organisms across a range of soils and experimental conditions. We conclude that there is a continued need for the direct measurement of microbial communities in soil to advance ecologically realistic frameworks. Nature Publishing Group UK 2023-02-02 2023-04 /pmc/articles/PMC10030646/ /pubmed/36732614 http://dx.doi.org/10.1038/s41396-022-01354-0 Text en © Battelle Memorial Institute 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Stone, Bram W. G.
Dijkstra, Paul
Finley, Brianna K.
Fitzpatrick, Raina
Foley, Megan M.
Hayer, Michaela
Hofmockel, Kirsten S.
Koch, Benjamin J.
Li, Junhui
Liu, Xiao Jun A.
Martinez, Ayla
Mau, Rebecca L.
Marks, Jane
Monsaint-Queeney, Victoria
Morrissey, Ember M.
Propster, Jeffrey
Pett-Ridge, Jennifer
Purcell, Alicia M.
Schwartz, Egbert
Hungate, Bruce A.
Life history strategies among soil bacteria—dichotomy for few, continuum for many
title Life history strategies among soil bacteria—dichotomy for few, continuum for many
title_full Life history strategies among soil bacteria—dichotomy for few, continuum for many
title_fullStr Life history strategies among soil bacteria—dichotomy for few, continuum for many
title_full_unstemmed Life history strategies among soil bacteria—dichotomy for few, continuum for many
title_short Life history strategies among soil bacteria—dichotomy for few, continuum for many
title_sort life history strategies among soil bacteria—dichotomy for few, continuum for many
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030646/
https://www.ncbi.nlm.nih.gov/pubmed/36732614
http://dx.doi.org/10.1038/s41396-022-01354-0
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