Literature DB >> 22269082

Monitoring adaptive genetic responses to environmental change.

Michael M Hansen1, Isabelle Olivieri, Donald M Waller, Einar E Nielsen.   

Abstract

Widespread environmental changes including climate change, selective harvesting and landscape alterations now greatly affect selection regimes for most organisms. How animals and plants can adapt to these altered environments via contemporary evolution is thus of strong interest. We discuss how to use genetic monitoring to study adaptive responses via repeated analysis of the same populations over time, distinguishing between phenotypic and molecular genetics approaches. After describing monitoring designs, we develop explicit criteria for demonstrating adaptive responses, which include testing for selection and establishing clear links between genetic and environmental change. We then review a few exemplary studies that explore adaptive responses to climate change in Drosophila, selective responses to hunting and fishing, and contemporary evolution in Daphnia using resurrected resting eggs. We further review a broader set of 44 studies to assess how well they meet the proposed criteria, and conclude that only 23% fulfill all criteria. Approximately half (43%) of these studies failed to rule out the alternative hypothesis of replacement by a different, better-adapted population. Likewise, 34% of the studies based on phenotypic variation did not test for selection as opposed to drift. These shortcomings can be addressed via improved experimental designs and statistical testing. We foresee monitoring of adaptive responses as a future valuable tool in conservation biology, for identifying populations unable to evolve at sufficiently high rates and for identifying possible donor populations for genetic rescue. Technological advances will further augment the realization of this potential, especially next-generation sequencing technologies that allow for monitoring at the level of whole genomes.
© 2012 Blackwell Publishing Ltd.

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Year:  2012        PMID: 22269082     DOI: 10.1111/j.1365-294X.2011.05463.x

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  62 in total

1.  Genetic change for earlier migration timing in a pink salmon population.

Authors:  Ryan P Kovach; Anthony J Gharrett; David A Tallmon
Journal:  Proc Biol Sci       Date:  2012-07-11       Impact factor: 5.349

2.  Evolutionary rescue: an emerging focus at the intersection between ecology and evolution.

Authors:  Andrew Gonzalez; Ophélie Ronce; Regis Ferriere; Michael E Hochberg
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-01-19       Impact factor: 6.237

Review 3.  Evolutionary rescue in vertebrates: evidence, applications and uncertainty.

Authors:  E Vander Wal; D Garant; M Festa-Bianchet; F Pelletier
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-01-19       Impact factor: 6.237

Review 4.  Evolutionary and ecological responses to anthropogenic climate change: update on anthropogenic climate change.

Authors:  Jill T Anderson; Anne Marie Panetta; Thomas Mitchell-Olds
Journal:  Plant Physiol       Date:  2012-10-05       Impact factor: 8.340

Review 5.  The life aquatic: advances in marine vertebrate genomics.

Authors:  Joanna L Kelley; Anthony P Brown; Nina Overgaard Therkildsen; Andrew D Foote
Journal:  Nat Rev Genet       Date:  2016-07-04       Impact factor: 53.242

6.  Predictable allele frequency changes due to habitat fragmentation in the Glanville fritillary butterfly.

Authors:  Toby Fountain; Marko Nieminen; Jukka Sirén; Swee Chong Wong; Rainer Lehtonen; Ilkka Hanski
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-22       Impact factor: 11.205

7.  Evolutionary Toxicology-An Informational Tool for Chemical Regulation?

Authors:  Elias M Oziolor; Karel DeSchamphelaere; Delina Lyon; Diane Nacci; Helen Poynton
Journal:  Environ Toxicol Chem       Date:  2020-02       Impact factor: 3.742

8.  Genetic architecture of gene transcription in two Atlantic salmon (Salmo salar) populations.

Authors:  X He; A L S Houde; T E Pitcher; D D Heath
Journal:  Heredity (Edinb)       Date:  2017-05-03       Impact factor: 3.821

9.  Intraspecific variability in the parasitoid wasp Trichogramma chilonis: can we predict the outcome of hybridization?

Authors:  Chiara Benvenuto; Elisabeth Tabone; Elodie Vercken; Nathalie Sorbier; Etty Colombel; Sylvie Warot; Xavier Fauvergue; Nicolas Ris
Journal:  Evol Appl       Date:  2012-06-08       Impact factor: 5.183

10.  Earlier migration timing, decreasing phenotypic variation, and biocomplexity in multiple salmonid species.

Authors:  Ryan P Kovach; John E Joyce; Jesse D Echave; Mark S Lindberg; David A Tallmon
Journal:  PLoS One       Date:  2013-01-10       Impact factor: 3.240

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