Literature DB >> 25973520

Commentary: When does understanding phenotypic evolution require identification of the underlying genes?

Mark D Rausher1, Lynda F Delph2.   

Abstract

Adaptive evolution is fundamentally a genetic process. Over the past three decades, characterizing the genes underlying adaptive phenotypic change has revealed many important aspects of evolutionary change. At the same time, natural selection is often fundamentally an ecological process that can often be studied without identifying the genes underlying the variation on which it acts. This duality has given rise to disagreement about whether, and under what circumstances, it is necessary to identify specific genes associated with phenotypic change. This issue is of practical concern, especially for researchers who study nonmodel organisms, because of the often enormous cost and labor required to "go for the genes." We here consider a number of situations and questions commonly addressed by researchers. Our conclusion is that although gene identification can be crucial for answering some questions, there are others for which definitive answers can be obtained without finding underlying genes. It should thus not be assumed that considerations of "empirical completeness" dictate that gene identification is always desirable.
© 2015 The Author(s). Evolution © 2015 The Society for the Study of Evolution.

Entities:  

Keywords:  Adaptation; Mendelian traits; evolutionary processes; gene identification; phenotype; quantitative traits

Mesh:

Year:  2015        PMID: 25973520     DOI: 10.1111/evo.12687

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  20 in total

1.  The genetic basis and enigmatic origin of melanic polymorphism in pomarine skuas (Stercorarius pomarinus).

Authors:  Kirstin Janssen; Nicholas I Mundy
Journal:  Proc Biol Sci       Date:  2017-12-13       Impact factor: 5.349

2.  Novel Candidate Genes Underlying Extreme Trophic Specialization in Caribbean Pupfishes.

Authors:  Joseph A McGirr; Christopher H Martin
Journal:  Mol Biol Evol       Date:  2017-04-01       Impact factor: 16.240

3.  Genetics of Cerebellar and Neocortical Expansion in Anthropoid Primates: A Comparative Approach.

Authors:  Peter W Harrison; Stephen H Montgomery
Journal:  Brain Behav Evol       Date:  2017-07-06       Impact factor: 1.808

4.  UNVEILing connections between genotype, phenotype, and fitness in natural populations.

Authors:  Thomas C Nelson; Matthew R Jones; Jonathan P Velotta; Abhilesh S Dhawanjewar; Rena M Schweizer
Journal:  Mol Ecol       Date:  2019-05-05       Impact factor: 6.185

5.  Integrating molecular mechanisms into quantitative genetics to understand consistent individual differences in behavior.

Authors:  Alison M Bell; Ned A Dochtermann
Journal:  Curr Opin Behav Sci       Date:  2015-12-01

6.  Ecological genomics of mutualism decline in nitrogen-fixing bacteria.

Authors:  Christie R Klinger; Jennifer A Lau; Katy D Heath
Journal:  Proc Biol Sci       Date:  2016-03-16       Impact factor: 5.349

7.  Breaking RAD: an evaluation of the utility of restriction site-associated DNA sequencing for genome scans of adaptation.

Authors:  David B Lowry; Sean Hoban; Joanna L Kelley; Katie E Lotterhos; Laura K Reed; Michael F Antolin; Andrew Storfer
Journal:  Mol Ecol Resour       Date:  2016-12-16       Impact factor: 7.090

Review 8.  Divergence and gene flow among Darwin's finches: A genome-wide view of adaptive radiation driven by interspecies allele sharing.

Authors:  Daniela H Palmer; Marcus R Kronforst
Journal:  Bioessays       Date:  2015-07-22       Impact factor: 4.345

Review 9.  Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions.

Authors:  Sean Hoban; Joanna L Kelley; Katie E Lotterhos; Michael F Antolin; Gideon Bradburd; David B Lowry; Mary L Poss; Laura K Reed; Andrew Storfer; Michael C Whitlock
Journal:  Am Nat       Date:  2016-08-15       Impact factor: 3.926

Review 10.  Genomic tools for behavioural ecologists to understand repeatable individual differences in behaviour.

Authors:  Sarah E Bengston; Romain A Dahan; Zoe Donaldson; Steven M Phelps; Kees van Oers; Andrew Sih; Alison M Bell
Journal:  Nat Ecol Evol       Date:  2018-02-12       Impact factor: 19.100

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