Abstract
Generalists can survive in many environments, whereas specialists are restricted to a single environment. Although a classical concept in ecology, niche breadth has remained challenging to quantify for microorganisms because it depends on an objective definition of the environment. Here, by defining the environment of a microorganism as the community it resides in, we integrated information from over 22,000 environmental sequencing samples to derive a quantitative measure of the niche, which we call social niche breadth. At the level of genera, we explored niche range strategies throughout the prokaryotic tree of life. We found that social generalists include opportunists that stochastically dominate local communities, whereas social specialists are stable but low in abundance. Social generalists have a more diverse and open pan-genome than social specialists, but we found no global correlation between social niche breadth and genome size. Instead, we observed two distinct evolutionary strategies, whereby specialists have relatively small genomes in habitats with low local diversity, but relatively large genomes in habitats with high local diversity. Together, our analysis shines data-driven light on microbial niche range strategies.
Original language | English |
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Pages (from-to) | 768-781 |
Number of pages | 14 |
Journal | Nature Ecology & Evolution |
Volume | 7 |
Issue number | 5 |
DOIs | |
Publication status | Published - May 2023 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s).
Funding
We thank J. K. van Amerongen for technical support. This work is funded/supported by the European Research Council (Consolidator Grant 865694: DiversiPHI to B.E.D.), the Deutsche Forschungsgemeinschaft under Germany’s Excellence Strategy (EXC 2051; Project-ID 390713860 to B.E.D.) and the Alexander von Humboldt Foundation in the context of an Alexander von Humboldt Professorship founded by the German Federal Ministry of Education and Research (to B.E.D.).
Funders | Funder number |
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Alexander von Humboldt-Stiftung | |
European Research Council | 865694 |
Deutsche Forschungsgemeinschaft | 390713860 |
Bundesministerium für Bildung und Forschung |
Keywords
- Abundant
- Divergence
- Diversity
- Dominant
- Evolution
- Genome size
- Habitat generalists
- Patterns
- Prokaryotes
- Resource