Literature DB >> 27647895

Evolutionary learning of adaptation to varying environments through a transgenerational feedback.

BingKan Xue1, Stanislas Leibler2.   

Abstract

Organisms can adapt to a randomly varying environment by creating phenotypic diversity in their population, a phenomenon often referred to as "bet hedging." The favorable level of phenotypic diversity depends on the statistics of environmental variations over timescales of many generations. Could organisms gather such long-term environmental information to adjust their phenotypic diversity? We show that this process can be achieved through a simple and general learning mechanism based on a transgenerational feedback: The phenotype of the parent is progressively reinforced in the distribution of phenotypes among the offspring. The molecular basis of this learning mechanism could be searched for in model organisms showing epigenetic inheritance.

Keywords:  bet hedging; environmental fluctuations; epigenetic inheritance; evolution; population growth

Mesh:

Year:  2016        PMID: 27647895      PMCID: PMC5056115          DOI: 10.1073/pnas.1608756113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  19 in total

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Authors:  Avihu H Yona; Idan Frumkin; Yitzhak Pilpel
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3.  Phenotypic diversity, population growth, and information in fluctuating environments.

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Journal:  Science       Date:  2005-08-25       Impact factor: 47.728

Review 4.  Timescales of genetic and epigenetic inheritance.

Authors:  Oliver J Rando; Kevin J Verstrepen
Journal:  Cell       Date:  2007-02-23       Impact factor: 41.582

Review 5.  Modes of response to environmental change and the elusive empirical evidence for bet hedging.

Authors:  Andrew M Simons
Journal:  Proc Biol Sci       Date:  2011-03-16       Impact factor: 5.349

6.  The evolution of bet hedging in response to local ecological conditions.

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Journal:  Am Nat       Date:  2014-05-23       Impact factor: 3.926

7.  Optimizing reproduction in a randomly varying environment.

Authors:  D Cohen
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Review 8.  Microbial bet-hedging: the power of being different.

Authors:  Ard Jan Grimbergen; Jeroen Siebring; Ana Solopova; Oscar P Kuipers
Journal:  Curr Opin Microbiol       Date:  2015-05-27       Impact factor: 7.934

9.  Dynamic reprogramming of DNA methylation at an epigenetically sensitive allele in mice.

Authors:  Marnie E Blewitt; Nicola K Vickaryous; Andras Paldi; Haruhiko Koseki; Emma Whitelaw
Journal:  PLoS Genet       Date:  2006-04-07       Impact factor: 5.917

10.  Memory and fitness optimization of bacteria under fluctuating environments.

Authors:  Guillaume Lambert; Edo Kussell; Edo Kussel
Journal:  PLoS Genet       Date:  2014-09-25       Impact factor: 5.917

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  11 in total

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4.  Tuning environmental timescales to evolve and maintain generalists.

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Review 5.  Protein self-assembly: A new frontier in cell signaling.

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6.  Evolution of vertical and oblique transmission under fluctuating selection.

Authors:  Yoav Ram; Uri Liberman; Marcus W Feldman
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7.  Aberrant clones: Birth order generates life history diversity in Greater Duckweed, Spirodela polyrhiza.

Authors:  Hebah S Mejbel; Andrew M Simons
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8.  Bet-hedging strategies in expanding populations.

Authors:  Paula Villa Martín; Miguel A Muñoz; Simone Pigolotti
Journal:  PLoS Comput Biol       Date:  2019-04-18       Impact factor: 4.475

Review 9.  Life in fluctuating environments.

Authors:  Joey R Bernhardt; Mary I O'Connor; Jennifer M Sunday; Andrew Gonzalez
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10.  How to fit in: The learning principles of cell differentiation.

Authors:  Miguel Brun-Usan; Christoph Thies; Richard A Watson
Journal:  PLoS Comput Biol       Date:  2020-04-13       Impact factor: 4.475

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