Literature DB >> 25674697

The evolution of transgenerational integration of information in heterogeneous environments.

Olof Leimar1, John M McNamara.   

Abstract

An organism's phenotype can be influenced by maternal cues and directly perceived environmental cues, as well as by its genotype at polymorphic loci, which can be interpreted as a genetic cue. In fluctuating environments, natural selection favors organisms that efficiently integrate different sources of information about the likely success of phenotypic alternatives. In such situations, it can be beneficial to pass on maternal cues that offspring can respond to. A maternal cue could be based on environmental cues directly perceived by the mother but also partly on cues that were passed on by the grandmother. We have used a mathematical model to investigate how the passing of maternal cues and the integration of different sources of information evolve in response to qualitatively different kinds of temporal and spatial environmental fluctuations. The model shows that the passing of maternal cues and the transgenerational integration of sources of information readily evolve. Factors such as the degree of temporal autocorrelation, the predictive accuracy of different environmental cues, and the level of gene flow strongly influence the expression of adaptive maternal cues and the relative weights given to different sources of information. We outline the main features of the relation between the characteristics of environmental fluctuations and the adaptive systems of phenotype determination and compare these predictions with empirical studies on cue integration.

Mesh:

Year:  2015        PMID: 25674697     DOI: 10.1086/679575

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  42 in total

1.  Local adaptation in transgenerational responses to predators.

Authors:  Matthew R Walsh; Todd Castoe; Julian Holmes; Michelle Packer; Kelsey Biles; Melissa Walsh; Stephan B Munch; David M Post
Journal:  Proc Biol Sci       Date:  2016-01-27       Impact factor: 5.349

2.  A Laterally Transferred Viral Gene Modifies Aphid Wing Plasticity.

Authors:  Benjamin J Parker; Jennifer A Brisson
Journal:  Curr Biol       Date:  2019-06-06       Impact factor: 10.834

Review 3.  Adaptive developmental plasticity: what is it, how can we recognize it and when can it evolve?

Authors:  Daniel Nettle; Melissa Bateson
Journal:  Proc Biol Sci       Date:  2015-08-07       Impact factor: 5.349

4.  When is incomplete epigenetic resetting in germ cells favoured by natural selection?

Authors:  Tobias Uller; Sinead English; Ido Pen
Journal:  Proc Biol Sci       Date:  2015-07-22       Impact factor: 5.349

5.  Developing differences: early-life effects and evolutionary medicine.

Authors:  Bram Kuijper; Mark A Hanson; Emma I K Vitikainen; Harry H Marshall; Susan E Ozanne; Michael A Cant
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-04-15       Impact factor: 6.237

Review 6.  Quantitative epigenetics and evolution.

Authors:  Joshua A Banta; Christina L Richards
Journal:  Heredity (Edinb)       Date:  2018-07-06       Impact factor: 3.821

Review 7.  The hierarchically mechanistic mind: an evolutionary systems theory of the human brain, cognition, and behavior.

Authors:  Paul B Badcock; Karl J Friston; Maxwell J D Ramstead; Annemie Ploeger; Jakob Hohwy
Journal:  Cogn Affect Behav Neurosci       Date:  2019-12       Impact factor: 3.282

8.  DNA methylation mediates genetic variation for adaptive transgenerational plasticity.

Authors:  Jacob J Herman; Sonia E Sultan
Journal:  Proc Biol Sci       Date:  2016-09-14       Impact factor: 5.349

Review 9.  The information provided by the absence of cues: insights from Bayesian models of within and transgenerational plasticity.

Authors:  Judy A Stamps; Alison M Bell
Journal:  Oecologia       Date:  2020-10-30       Impact factor: 3.225

10.  Early-life and parental predation risk shape fear acquisition in adult minnows.

Authors:  Adam L Crane; Denis Meuthen; Himal Thapa; Maud C O Ferrari; Grant E Brown
Journal:  Anim Cogn       Date:  2020-10-30       Impact factor: 3.084

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