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Mixed evidence for adaptation to environmental pollution

Adaptation to pollution has been studied since the first observations of heavy metal tolerance in plants decades ago. To document micro‐evolutionary responses to pollution, researchers have used phenotypic, molecular genetics, and demographic approaches. We reviewed 258 articles and evaluated the ev...

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Autores principales: Loria, Alessandra, Cristescu, Melania E., Gonzalez, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691217/
https://www.ncbi.nlm.nih.gov/pubmed/31417613
http://dx.doi.org/10.1111/eva.12782
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author Loria, Alessandra
Cristescu, Melania E.
Gonzalez, Andrew
author_facet Loria, Alessandra
Cristescu, Melania E.
Gonzalez, Andrew
author_sort Loria, Alessandra
collection PubMed
description Adaptation to pollution has been studied since the first observations of heavy metal tolerance in plants decades ago. To document micro‐evolutionary responses to pollution, researchers have used phenotypic, molecular genetics, and demographic approaches. We reviewed 258 articles and evaluated the evidence for adaptive responses following exposure to a wide range of pollutants, across multiple taxonomic groups. We also conducted a meta‐analysis to calculate the magnitude of phenotypic change in invertebrates in response to metal pollution. The majority of studies that reported differences in responses to pollution were focused on phenotypic responses at the individual level. Most of the studies that used demographic assays in their investigations found that negative effects induced by pollution often worsened over multiple generations. Our meta‐analysis did not reveal a significant relationship between metal pollution intensity and changes in the traits studied, and this was probably due to differences in coping responses among different species, the broad array of abiotic and biotic factors, and the weak statistical power of the analysis. We found it difficult to make broad statements about how likely or how common adaptation is in the presence of environmental contamination. Ecological and evolutionary responses to contamination are complex, and difficult to interpret in the context of taxonomic, and methodological biases, and the inconsistent set of approaches that have been used to study adaptation to pollution in the laboratory and in the field. This review emphasizes the need for: (a) long‐term monitoring programs on exposed populations that link demography to phenotypic, genetic, and selection assays; (b) the use of standardized protocols across studies especially for similar taxa. Approaches that combine field and laboratory studies offer the greatest opportunity to reveal the complex eco‐evolutionary feedback that can occur under selection imposed by pollution.
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spelling pubmed-66912172019-08-15 Mixed evidence for adaptation to environmental pollution Loria, Alessandra Cristescu, Melania E. Gonzalez, Andrew Evol Appl Special Issue Review and Syntheses Adaptation to pollution has been studied since the first observations of heavy metal tolerance in plants decades ago. To document micro‐evolutionary responses to pollution, researchers have used phenotypic, molecular genetics, and demographic approaches. We reviewed 258 articles and evaluated the evidence for adaptive responses following exposure to a wide range of pollutants, across multiple taxonomic groups. We also conducted a meta‐analysis to calculate the magnitude of phenotypic change in invertebrates in response to metal pollution. The majority of studies that reported differences in responses to pollution were focused on phenotypic responses at the individual level. Most of the studies that used demographic assays in their investigations found that negative effects induced by pollution often worsened over multiple generations. Our meta‐analysis did not reveal a significant relationship between metal pollution intensity and changes in the traits studied, and this was probably due to differences in coping responses among different species, the broad array of abiotic and biotic factors, and the weak statistical power of the analysis. We found it difficult to make broad statements about how likely or how common adaptation is in the presence of environmental contamination. Ecological and evolutionary responses to contamination are complex, and difficult to interpret in the context of taxonomic, and methodological biases, and the inconsistent set of approaches that have been used to study adaptation to pollution in the laboratory and in the field. This review emphasizes the need for: (a) long‐term monitoring programs on exposed populations that link demography to phenotypic, genetic, and selection assays; (b) the use of standardized protocols across studies especially for similar taxa. Approaches that combine field and laboratory studies offer the greatest opportunity to reveal the complex eco‐evolutionary feedback that can occur under selection imposed by pollution. John Wiley and Sons Inc. 2019-04-09 /pmc/articles/PMC6691217/ /pubmed/31417613 http://dx.doi.org/10.1111/eva.12782 Text en © 2019 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Issue Review and Syntheses
Loria, Alessandra
Cristescu, Melania E.
Gonzalez, Andrew
Mixed evidence for adaptation to environmental pollution
title Mixed evidence for adaptation to environmental pollution
title_full Mixed evidence for adaptation to environmental pollution
title_fullStr Mixed evidence for adaptation to environmental pollution
title_full_unstemmed Mixed evidence for adaptation to environmental pollution
title_short Mixed evidence for adaptation to environmental pollution
title_sort mixed evidence for adaptation to environmental pollution
topic Special Issue Review and Syntheses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691217/
https://www.ncbi.nlm.nih.gov/pubmed/31417613
http://dx.doi.org/10.1111/eva.12782
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