Literature DB >> 18707473

Genetic tools for studying adaptation and the evolution of behavior.

Christine R B Boake1, Stevan J Arnold, Felix Breden, Lisa M Meffert, Michael G Ritchie, Barbara J Taylor, Jason B Wolf, Allen J Moore.   

Abstract

The rapid expansion of genomic and molecular genetic techniques in model organisms, and the application of these techniques to organisms that are less well studied genetically, make it possible to understand the genetic control of many behavioral phenotypes. However, many behavioral ecologists are uncertain about the value of including a genetic component in their studies. In this article, we review how genetic analyses of behavior are central to topics ranging from understanding past selection and predicting future evolution to explaining the neural and hormonal control of behavior. Furthermore, we review both new and old techniques for studying evolutionary behavior genetics and highlight how the choice of approach depends on both the question and the organism. Topics discussed include genetic architecture, detecting the past history of selection, and genotype-by-environment interactions. We show how these questions are being addressed with techniques including statistical genetics, QTL analyses, transgenic analyses, and microarrays. Many of the techniques were first applied to the behavior of genetic model organisms such as laboratory mice and flies. Two recent developments serve to expand the relevance of such studies to behavioral ecology. The first is to use model organisms for studies of the genetic basis of evolutionarily relevant behavior and the second is to apply methods developed in model genetic systems to species that have not previously been examined genetically. These conceptual advances, along with the rapid diversification of genetic tools and the recognition of widespread genetic homology, suggest a bright outlook for evolutionary genetic studies. This review provides access to tools through references to the recent literature and shows the great promise for evolutionary behavioral genetics.

Entities:  

Year:  2002        PMID: 18707473     DOI: 10.1086/342902

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


  31 in total

1.  A test for selection employing quantitative trait locus and mutation accumulation data.

Authors:  Daniel P Rice; Jeffrey P Townsend
Journal:  Genetics       Date:  2012-01-31       Impact factor: 4.562

2.  Behavioral degradation under mutation accumulation in Caenorhabditis elegans.

Authors:  Beverly C Ajie; Suzanne Estes; Michael Lynch; Patrick C Phillips
Journal:  Genetics       Date:  2005-04-16       Impact factor: 4.562

3.  Genetically regulated temporal variation of novel courtship elements in the Hawaiian cricket genus Laupala.

Authors:  Daniel J Fergus; Tagide N Decarvalho; Kerry L Shaw
Journal:  Behav Genet       Date:  2010-09-28       Impact factor: 2.805

4.  Evolution of Schooling Behavior in Threespine Sticklebacks Is Shaped by the Eda Gene.

Authors:  Anna K Greenwood; Margaret G Mills; Abigail R Wark; Sophie L Archambeault; Catherine L Peichel
Journal:  Genetics       Date:  2016-04-06       Impact factor: 4.562

5.  Clutch identity and predator-induced hatching affect behavior and development in a leaf-breeding treefrog.

Authors:  Megan E Gibbons; M Patricia George
Journal:  Oecologia       Date:  2012-09-26       Impact factor: 3.225

6.  Relating quantitative variation within a behavior to variation in transcription.

Authors:  Kyle M Benowitz; Elizabeth C McKinney; Christopher B Cunningham; Allen J Moore
Journal:  Evolution       Date:  2017-06-08       Impact factor: 3.694

7.  Discrete genetic modules are responsible for complex burrow evolution in Peromyscus mice.

Authors:  Jesse N Weber; Brant K Peterson; Hopi E Hoekstra
Journal:  Nature       Date:  2013-01-17       Impact factor: 49.962

8.  Applying Quantitative Genetic Methods to Primate Social Behavior.

Authors:  Gregory E Blomquist; Lauren J N Brent
Journal:  Int J Primatol       Date:  2014-02-01       Impact factor: 2.264

9.  Indirect genetic effects and the genetic bases of social dominance: evidence from cattle.

Authors:  C Sartori; R Mantovani
Journal:  Heredity (Edinb)       Date:  2012-09-12       Impact factor: 3.821

10.  Failure to replicate two mate preference QTLs across multiple strains of Drosophila pseudoobscura.

Authors:  Callie V Barnwell; Mohamed A F Noor
Journal:  J Hered       Date:  2008-08-26       Impact factor: 2.645

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