The predictive power of phylogeny on growth rates in soil bacterial communities
Abstract
Abstract Predicting ecosystem function is critical to assess and mitigate the impacts of climate change. Quantitative predictions of microbially mediated ecosystem processes are typically uninformed by microbial biodiversity. Yet new tools allow the measurement of taxon-specific traits within natural microbial communities. There is mounting evidence of a phylogenetic signal in these traits, which may support prediction and microbiome management frameworks. We investigated phylogeny-based trait prediction using bacterial growth rates from soil communities in Arctic, boreal, temperate, and tropical ecosystems. Here we show that phylogeny predicts growth rates of soil bacteria, explaining an average of 31%, and up to 58%, of the variation within ecosystems. Despite limited overlap in community composition across these ecosystems, shared nodes in the phylogeny enabled ancestral trait reconstruction and cross-ecosystem predictions. Phylogenetic relationships could explain up to 38% (averaging 14%) of the variation in growth rates across the highly disparate ecosystems studied. Our results suggest that shared evolutionary history contributes to similarity in the relative growth rates of related bacteria in the wild, allowing phylogeny-based predictions to explain a substantial amount of the variation in taxon-specific functional traits, within and across ecosystems.
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1989748
- Grant/Contract Number:
- SC0020172; SC0016207; SCW1679; SCW1632
- Resource Type:
- Published Article
- Journal Name:
- ISME Communications
- Additional Journal Information:
- Journal Name: ISME Communications Journal Volume: 3 Journal Issue: 1; Journal ID: ISSN 2730-6151
- Publisher:
- Oxford University Press
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Walkup, Jeth, Dang, Chansotheary, Mau, Rebecca L., Hayer, Michaela, Schwartz, Egbert, Stone, Bram W., Hofmockel, Kirsten S., Koch, Benjamin J., Purcell, Alicia M., Pett-Ridge, Jennifer, Wang, Chao, Hungate, Bruce A., and Morrissey, Ember M. The predictive power of phylogeny on growth rates in soil bacterial communities. United States: N. p., 2023.
Web. doi:10.1038/s43705-023-00281-1.
Walkup, Jeth, Dang, Chansotheary, Mau, Rebecca L., Hayer, Michaela, Schwartz, Egbert, Stone, Bram W., Hofmockel, Kirsten S., Koch, Benjamin J., Purcell, Alicia M., Pett-Ridge, Jennifer, Wang, Chao, Hungate, Bruce A., & Morrissey, Ember M. The predictive power of phylogeny on growth rates in soil bacterial communities. United States. https://doi.org/10.1038/s43705-023-00281-1
Walkup, Jeth, Dang, Chansotheary, Mau, Rebecca L., Hayer, Michaela, Schwartz, Egbert, Stone, Bram W., Hofmockel, Kirsten S., Koch, Benjamin J., Purcell, Alicia M., Pett-Ridge, Jennifer, Wang, Chao, Hungate, Bruce A., and Morrissey, Ember M. Sat .
"The predictive power of phylogeny on growth rates in soil bacterial communities". United States. https://doi.org/10.1038/s43705-023-00281-1.
@article{osti_1989748,
title = {The predictive power of phylogeny on growth rates in soil bacterial communities},
author = {Walkup, Jeth and Dang, Chansotheary and Mau, Rebecca L. and Hayer, Michaela and Schwartz, Egbert and Stone, Bram W. and Hofmockel, Kirsten S. and Koch, Benjamin J. and Purcell, Alicia M. and Pett-Ridge, Jennifer and Wang, Chao and Hungate, Bruce A. and Morrissey, Ember M.},
abstractNote = {Abstract Predicting ecosystem function is critical to assess and mitigate the impacts of climate change. Quantitative predictions of microbially mediated ecosystem processes are typically uninformed by microbial biodiversity. Yet new tools allow the measurement of taxon-specific traits within natural microbial communities. There is mounting evidence of a phylogenetic signal in these traits, which may support prediction and microbiome management frameworks. We investigated phylogeny-based trait prediction using bacterial growth rates from soil communities in Arctic, boreal, temperate, and tropical ecosystems. Here we show that phylogeny predicts growth rates of soil bacteria, explaining an average of 31%, and up to 58%, of the variation within ecosystems. Despite limited overlap in community composition across these ecosystems, shared nodes in the phylogeny enabled ancestral trait reconstruction and cross-ecosystem predictions. Phylogenetic relationships could explain up to 38% (averaging 14%) of the variation in growth rates across the highly disparate ecosystems studied. Our results suggest that shared evolutionary history contributes to similarity in the relative growth rates of related bacteria in the wild, allowing phylogeny-based predictions to explain a substantial amount of the variation in taxon-specific functional traits, within and across ecosystems.},
doi = {10.1038/s43705-023-00281-1},
journal = {ISME Communications},
number = 1,
volume = 3,
place = {United States},
year = {Sat Jul 15 00:00:00 EDT 2023},
month = {Sat Jul 15 00:00:00 EDT 2023}
}
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