Literature DB >> 30185639

Temperature drives diversification in a model adaptive radiation.

Quan-Guo Zhang1, Han-Shu Lu2, Angus Buckling3.   

Abstract

The warmer regions harbour more species, attributable to accelerated speciation and increased ecological opportunities for coexistence. While correlations between temperature and energy availability and habitat area have been suggested as major drivers of these biodiversity patterns, temperature can theoretically also have direct effects on the evolution of diversity. Here, we experimentally studied the evolution of diversity in a model adaptive radiation of the bacterium Pseudomonas fluorescens across a temperature gradient. Diversification increased at higher temperatures, driven by both faster generation of genetic variation and stronger diversifying selection. Specifically, low temperatures could limit the generation of diversity, suggested by the observation that supply of genetic variation through immigration increased diversity at low, but not high temperatures. The two major determinants of mutation supply, population size and mutation rate, both showed a positive temperature dependence. Stronger diversifying selection in warmer environments was suggested by promoted coexistence, and further explicitly inferred by the ability of evolved phenotypes to invade the ancestral type from rare. We discuss possible physiological and environmental mechanisms underlying the findings, most of which are likely to be general.
© 2018 The Author(s).

Entities:  

Keywords:  diversifying selection; evolutionary speed; experimental evolution; latitudinal diversity gradient; mutation rate; niche differentiation

Mesh:

Year:  2018        PMID: 30185639      PMCID: PMC6158518          DOI: 10.1098/rspb.2018.1515

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  33 in total

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  3 in total

1.  Temperature drives diversification in a model adaptive radiation.

Authors:  Quan-Guo Zhang; Han-Shu Lu; Angus Buckling
Journal:  Proc Biol Sci       Date:  2018-09-05       Impact factor: 5.349

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