The predictive power of phylogeny on growth rates in soil bacterial communities
© 2023. The Author(s)..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:3 |
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| Enthalten in: |
ISME communications - 3(2023), 1 vom: 15. Juli, Seite 73 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Walkup, Jeth [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Revised 08.11.2023 published: Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1038/s43705-023-00281-1 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM359548741 |
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| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © 2023. The Author(s). | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Dang, Chansotheary |e verfasserin |4 aut | |
| 700 | 1 | |a Mau, Rebecca L |e verfasserin |4 aut | |
| 700 | 1 | |a Hayer, Michaela |e verfasserin |4 aut | |
| 700 | 1 | |a Schwartz, Egbert |e verfasserin |4 aut | |
| 700 | 1 | |a Stone, Bram W |e verfasserin |4 aut | |
| 700 | 1 | |a Hofmockel, Kirsten S |e verfasserin |4 aut | |
| 700 | 1 | |a Koch, Benjamin J |e verfasserin |4 aut | |
| 700 | 1 | |a Purcell, Alicia M |e verfasserin |4 aut | |
| 700 | 1 | |a Pett-Ridge, Jennifer |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Chao |e verfasserin |4 aut | |
| 700 | 1 | |a Hungate, Bruce A |e verfasserin |4 aut | |
| 700 | 1 | |a Morrissey, Ember M |e verfasserin |4 aut | |
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