Literature DB >> 27401229

Genomic Response to Selection for Predatory Behavior in a Mammalian Model of Adaptive Radiation.

Mateusz Konczal1, Paweł Koteja2, Patrycja Orlowska-Feuer3, Jacek Radwan4, Edyta T Sadowska2, Wiesław Babik2.   

Abstract

If genetic architectures of various quantitative traits are similar, as studies on model organisms suggest, comparable selection pressures should produce similar molecular patterns for various traits. To test this prediction, we used a laboratory model of vertebrate adaptive radiation to investigate the genetic basis of the response to selection for predatory behavior and compare it with evolution of aerobic capacity reported in an earlier work. After 13 generations of selection, the proportion of bank voles (Myodes [=Clethrionomys] glareolus) showing predatory behavior was five times higher in selected lines than in controls. We analyzed the hippocampus and liver transcriptomes and found repeatable changes in allele frequencies and gene expression. Genes with the largest differences between predatory and control lines are associated with hunger, aggression, biological rhythms, and functioning of the nervous system. Evolution of predatory behavior could be meaningfully compared with evolution of high aerobic capacity, because the experiments and analyses were performed in the same methodological framework. The number of genes that changed expression was much smaller in predatory lines, and allele frequencies changed repeatably in predatory but not in aerobic lines. This suggests that more variants of smaller effects underlie variation in aerobic performance, whereas fewer variants of larger effects underlie variation in predatory behavior. Our results thus contradict the view that comparable selection pressures for different quantitative traits produce similar molecular patterns. Therefore, to gain knowledge about molecular-level response to selection for complex traits, we need to investigate not only multiple replicate populations but also multiple quantitative traits.
© The Author 2016. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  RNA-Seq; genetic architecture; mammals.; predatory behavior; quantitative traits; selection experiment

Mesh:

Year:  2016        PMID: 27401229     DOI: 10.1093/molbev/msw121

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  13 in total

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Authors:  Shizhong Xu; Theodore Garland
Journal:  Genetics       Date:  2017-08-03       Impact factor: 4.562

2.  De novo transcriptome assembly facilitates characterisation of fast-evolving gene families, MHC class I in the bank vole (Myodes glareolus).

Authors:  M Migalska; A Sebastian; M Konczal; P Kotlík; J Radwan
Journal:  Heredity (Edinb)       Date:  2016-10-26       Impact factor: 3.821

3.  Artificial selection for predatory behaviour results in dietary niche differentiation in an omnivorous mammal.

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4.  Evolutionary Divergence and Radula Diversification in Two Ecomorphs from an Adaptive Radiation of Freshwater Snails.

Authors:  Leon Hilgers; Stefanie Hartmann; Jobst Pfaender; Nora Lentge-Maaß; Ristiyanti M Marwoto; Thomas von Rintelen; Michael Hofreiter
Journal:  Genes (Basel)       Date:  2022-06-08       Impact factor: 4.141

5.  On the evolution of trophic position.

Authors:  Marvin Moosmann; Maria Cuenca-Cambronero; Stephen De Lisle; Ryan Greenway; Cameron M Hudson; Moritz D Lürig; Blake Matthews
Journal:  Ecol Lett       Date:  2021-09-22       Impact factor: 11.274

6.  Flexibility and rigidity in hunting behaviour in rodents: is there room for cognition?

Authors:  Zhanna Reznikova; Sofia Panteleeva; Anna Novikovskaya; Jan Levenets; Natalya Lopatina; Yuri Litvinov
Journal:  Anim Cogn       Date:  2022-01-07       Impact factor: 2.899

7.  Genetic Basis of Aerobically Supported Voluntary Exercise: Results from a Selection Experiment with House Mice.

Authors:  David A Hillis; Liran Yadgary; George M Weinstock; Fernando Pardo-Manuel de Villena; Daniel Pomp; Alexandra S Fowler; Shizhong Xu; Frank Chan; Theodore Garland
Journal:  Genetics       Date:  2020-09-25       Impact factor: 4.562

8.  Accuracy of RNAseq based SNP discovery and genotyping in Populusnigra.

Authors:  Odile Rogier; Aurélien Chateigner; Souhila Amanzougarene; Marie-Claude Lesage-Descauses; Sandrine Balzergue; Véronique Brunaud; José Caius; Ludivine Soubigou-Taconnat; Véronique Jorge; Vincent Segura
Journal:  BMC Genomics       Date:  2018-12-12       Impact factor: 3.969

9.  Preliminary insights into the genetics of bank vole tolerance to Puumala hantavirus in Sweden.

Authors:  Audrey Rohfritsch; Maxime Galan; Mathieu Gautier; Karim Gharbi; Gert Olsson; Bernhard Gschloessl; Caroline Zeimes; Sophie VanWambeke; Renaud Vitalis; Nathalie Charbonnel
Journal:  Ecol Evol       Date:  2018-10-26       Impact factor: 2.912

10.  Profiling of the TCRβ repertoire in non-model species using high-throughput sequencing.

Authors:  Magdalena Migalska; Alvaro Sebastian; Jacek Radwan
Journal:  Sci Rep       Date:  2018-08-02       Impact factor: 4.379

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