Literature DB >> 32203249

Larger bacterial populations evolve heavier fitness trade-offs and undergo greater ecological specialization.

Yashraj Chavhan1, Sarthak Malusare1,2, Sutirth Dey3.   

Abstract

Evolutionary studies over the last several decades have invoked fitness trade-offs to explain why species prefer some environments to others. However, the effects of population size on trade-offs and ecological specialization remain largely unknown. To complicate matters, trade-offs themselves have been visualized in multiple ways in the literature. Thus, it is not clear how population size can affect the various aspects of trade-offs. To address these issues, we conducted experimental evolution with Escherichia coli populations of two different sizes in two nutritionally limited environments, and studied fitness trade-offs from three different perspectives. We found that larger populations evolved greater fitness trade-offs, regardless of how trade-offs are conceptualized. Moreover, although larger populations adapted more to their selection conditions, they also became more maladapted to other environments, ultimately paying heavier costs of adaptation. To enhance the generalizability of our results, we further investigated the evolution of ecological specialization across six different environmental pairs, and found that larger populations specialized more frequently and evolved consistently steeper reaction norms of fitness. This is the first study to demonstrate a relationship between population size and fitness trade-offs, and the results are important in understanding the population genetics of ecological specialization and vulnerability to environmental changes.

Entities:  

Year:  2020        PMID: 32203249      PMCID: PMC7239931          DOI: 10.1038/s41437-020-0308-x

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  59 in total

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Authors:  Thomas Bataillon; Tianyi Zhang; Rees Kassen
Journal:  Genetics       Date:  2011-08-25       Impact factor: 4.562

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5.  Genetic trade-offs and conditional neutrality contribute to local adaptation.

Authors:  Jill T Anderson; Cheng-Ruei Lee; Catherine A Rushworth; Robert I Colautti; Thomas Mitchell-Olds
Journal:  Mol Ecol       Date:  2012-03-15       Impact factor: 6.185

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Review 7.  Carbon catabolite repression in bacteria: choice of the carbon source and autoregulatory limitation of sugar utilization.

Authors:  Reinhold Brückner; Fritz Titgemeyer
Journal:  FEMS Microbiol Lett       Date:  2002-04-09       Impact factor: 2.742

8.  Adapting in larger numbers can increase the vulnerability of Escherichia coli populations to environmental changes.

Authors:  Yashraj Chavhan; Shraddha Karve; Sutirth Dey
Journal:  Evolution       Date:  2019-02-28       Impact factor: 3.694

9.  The origins of specialization: insights from bacteria held 25 years in captivity.

Authors:  Vaughn S Cooper
Journal:  PLoS Biol       Date:  2014-02-18       Impact factor: 8.029

10.  Inactivation of metabolic genes causes short- and long-range dys-regulation in Escherichia coli metabolic network.

Authors:  Dinesh Kumar Barupal; Sang Jun Lee; Edward D Karoly; Sankar Adhya
Journal:  PLoS One       Date:  2013-12-05       Impact factor: 3.240

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  3 in total

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Journal:  Elife       Date:  2020-12-02       Impact factor: 8.140

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Authors:  Matthew L Aardema; Nina V Bates; Qiana E Archer; Friederike D von Loewenich
Journal:  Appl Environ Microbiol       Date:  2022-07-11       Impact factor: 5.005

3.  Experimental Evolution Expands the Breadth of Adaptation to an Environmental Gradient Correlated With Genome Reduction.

Authors:  Masaomi Kurokawa; Issei Nishimura; Bei-Wen Ying
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  3 in total

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