Genetic structure and phenotypic plasticity of yellow perch (<i>Perca flavescens</i>) populations influenced by habitat, predation, and contamination gradients

Tremblay, Ashley; Lesbarrères, David; Merritt, Thomas J. S.; Wilson, Chris; Gunn, John M.

doi:10.1002/ieam.5630040218

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…In light of new kinds of evolutionary behavior, it reframes the original questions about underlying mechanisms and extends their scope to phenomena that exhibit memory in the sampling process or that derive from structure in populations. Examples of the latter include niche construction [41], the effects of environmental toxins [42], changes in predation [43], and socio-political factors [44] where memory lies in the spatial distribution of populations. In addition to these, several applications to areas beyond population genetics proper suggest themselves.…”

Section: Discussionmentioning

confidence: 99%

Structural Drift: The Population Dynamics of Sequential Learning

Crutchfield

Whalen

2012

PLoS Comput Biol

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We introduce a theory of sequential causal inference in which learners in a chain estimate a structural model from their upstream “teacher” and then pass samples from the model to their downstream “student”. It extends the population dynamics of genetic drift, recasting Kimura's selectively neutral theory as a special case of a generalized drift process using structured populations with memory. We examine the diffusion and fixation properties of several drift processes and propose applications to learning, inference, and evolution. We also demonstrate how the organization of drift process space controls fidelity, facilitates innovations, and leads to information loss in sequential learning with and without memory.

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Section: Discussionmentioning

confidence: 99%

Structural Drift: The Population Dynamics of Sequential Learning

Crutchfield

Whalen

2012

PLoS Comput Biol

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Sexual Dimorphism in Body Size and Form in Yellow Perch

Liang

Wang

Meng

et al. 2018

Sex Control in Aquaculture

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Genetic Structure and Diversity of Animal Populations Exposed to Metal Pollution

Mussali-Galante

Tovar-Sánchez

Valverde³

et al. 2013

Reviews of Environmental Contamination and Toxicology

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Studying the genetic diversity of wild populations that are affected by pollution provides a basis for estimating the risks of environmental contamination to both wildlife, and indirectly to humans. Such research strives to produce both a better understanding of the underlying mechanisms by which genetic diversity is affected,and the long-term effects of the pollutants involved.In this review, we summarize key aspects of the field of genetic ecotoxicology that encompasses using genetic patterns to examine metal pollutants as environmental stressors of natural animal populations. We address genetic changes that result from xenobiotic exposure versus genetic alterations that result from natural ecological processes. We also describe the relationship between metal exposure and changes in the genetic diversity of chronically exposed populations, and how the affected populations respond to environmental stress. Further, we assess the genetic diversity of animal populations that were exposed to metals, focusing on the literature that has been published since the year 2000.Our review disclosed that the most common metals found in aquatic and terrestrial ecosystems were Cd, Zn, Cu and Pb; however, differences in the occurrence between aquatic (Cd=Zn>Cu>Pb>Hg) and terrestrial (Cu>Cd>Pb>Zn>Ni)environments were observed. Several molecular markers were used to assess genetic diversity in impacted populations, the order of the most common ones of which were SSR's > allozyme > RAPD's > mtDNA sequencing> other molecular markers.Genetic diversity was reduced for nearly all animal populations that were exposed to a single metal, or a mixture of metals in aquatic ecosystems (except in Hyalella azteca, Littorina littorea, Salmo trutta, and Gobio gobio); however, the pattern was less clear when terrestrial ecosystems were analyzed.We propose that future research in the topic area of this paper emphasizes seven key areas of activity that pertain to the methodological design of genetic ecotoxicological studies. Collectively, these points are designed to provide more accurate data and a deeper understanding of the relationship between alterations in genetic diversity of impacted populations and metal exposures. In particular, we believe that the exact nature of all tested chemical pollutants be clearly described, biomarkers be included, sentinel organisms be used, testing be performed at multiple experimental sites, reference populations be sampled in close geographical proximity to where pollution occurs, and genetic structure parameters and high-throughput technology be more actively employed. Furthermore, we propose a new class of biomarkers,termed "biomarkers of permanent effect," which may include measures of genetic variability in impacted populations.

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Genetic structure and phenotypic plasticity of yellow perch (Perca flavescens) populations influenced by habitat, predation, and contamination gradients

Cited by 5 publications

References 6 publications

Structural Drift: The Population Dynamics of Sequential Learning

Structural Drift: The Population Dynamics of Sequential Learning

Sexual Dimorphism in Body Size and Form in Yellow Perch

Genetic Structure and Diversity of Animal Populations Exposed to Metal Pollution

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