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ZENODO
Dataset . 2023
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2023
License: CC 0
Data sources: Datacite
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Data for: Colonization persistence trade-offs in natural bacterial communities

Authors: J. Ontiveros, Vicente; Capitan, Jose; Casamayor, Emilio; Alonso, David;

Data for: Colonization persistence trade-offs in natural bacterial communities

Abstract

Fitness equalizing mechanisms, such as trade-offs, are recognized as one of the main factors promoting species coexistence in community ecology. However, they have rarely been explored in microbial communities. Although microbial communities are highly diverse, the coexistence of their multiple taxa is largely attributed to niche differences and high dispersal rates, following the principle “everything is everywhere, but the environment selects”. We use a dynamical stochastic model based on the Theory of Island Biogeography to study highly diverse microbial communities over time across three different systems (soils, alpine lakes, and shallow saline lakes). Assuming fitness equalization mechanisms, here we newly analytically derive colonization-persistence trade-offs, and report a signal of such trade-offs in natural microbial communities. Moreover, we show that different subsets of species in the community drive this trade-off. Rare taxa, which are occasional and more likely to follow independent colonization/extinction dynamics, drive this trade-off in the aquatic communities, while the core sub-community did it in the soils. We conclude that equalizing mechanisms may be more important than previously recognized in microbial communities. Our work also emphasizes the fundamental value of dynamical models for understanding temporal patterns and processes in highly diverse communities.

Keywords

Colonization-extinction dynamics, FOS: Biological sciences, Fitness equalization, Colonization-Persistence trade-off, Species coexistence, Neutral theory, Natural microbial communities

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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