Literature DB >> 25739734

Initial Molecular-Level Response to Artificial Selection for Increased Aerobic Metabolism Occurs Primarily through Changes in Gene Expression.

Mateusz Konczal1, Wiesław Babik2, Jacek Radwan3, Edyta T Sadowska2, Paweł Koteja2.   

Abstract

Experimental evolution combined with genome or transcriptome resequencing (Evolve and Resequence) represents a promising approach for advancing our understanding of the genetic basis of adaptation. Here, we applied this strategy to investigate the effect of selection on a complex trait in lines derived from a natural population of a small mammal. We analyzed the liver and heart transcriptomes of bank voles (Myodes [=Clethrionomys] glareolus) that had been selected for increased aerobic metabolism. The organs were sampled from 13th generation voles; at that point, the voles from four replicate selected lines had 48% higher maximum rates of oxygen consumption than those from four control lines. At the molecular level, the response to selection was primarily observed in gene expression: Over 300 genes were found to be differentially expressed between the selected and control lines and the transcriptome-wide pattern of expression distinguished selected lines from controls. No evidence for selection-driven changes of allele frequencies at coding sites was found: No single nucleotide polymorphism (SNP) changed frequency more than expected under drift alone and frequency changes aggregated over all SNPs did not separate selected and control lines. Nevertheless, among genes which showed highest differentiation in allele frequencies between selected and control lines we identified, using information about gene functions and the biology of the selected phenotype, plausible targets of selection; these genes, together with those identified in expression analysis, have been prioritized for further studies. Because our selection lines were derived from a natural population, the amount and the spectrum of variation available for selection probably closely approximated that typically found in populations of small mammals. Therefore, our results are relevant to the understanding of the molecular basis of complex adaptations occurring in natural vertebrate populations.
© The Author 2015. 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; bank vole; mammals; maximum metabolic rate; selection experiment; standing genetic variation

Mesh:

Year:  2015        PMID: 25739734     DOI: 10.1093/molbev/msv038

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


  12 in total

1.  Evolution of basal metabolic rate in bank voles from a multidirectional selection experiment.

Authors:  Edyta T Sadowska; Clare Stawski; Agata Rudolf; Geoffrey Dheyongera; Katarzyna M Chrząścik; Katarzyna Baliga-Klimczyk; Paweł Koteja
Journal:  Proc Biol Sci       Date:  2015-05-07       Impact factor: 5.349

Review 2.  Genetic approaches in comparative and evolutionary physiology.

Authors:  Jay F Storz; Jamie T Bridgham; Scott A Kelly; Theodore Garland
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2015-06-03       Impact factor: 3.619

3.  Genetic and Genomic Response to Selection for Food Consumption in Drosophila melanogaster.

Authors:  Megan E Garlapow; Logan J Everett; Shanshan Zhou; Alexander W Gearhart; Kairsten A Fay; Wen Huang; Tatiana V Morozova; Gunjan H Arya; Lavanya Turlapati; Genevieve St Armour; Yasmeen N Hussain; Sarah E McAdams; Sophia Fochler; Trudy F C Mackay
Journal:  Behav Genet       Date:  2016-10-05       Impact factor: 2.805

4.  A Shift in the Thermoregulatory Curve as a Result of Selection for High Activity-Related Aerobic Metabolism.

Authors:  Clare Stawski; Paweł Koteja; Edyta T Sadowska
Journal:  Front Physiol       Date:  2017-12-18       Impact factor: 4.566

5.  A dopamine and noradrenaline reuptake inhibitor (bupropion) does not alter exercise performance of bank voles.

Authors:  Ewa Jaromin; Edyta Teresa Sadowska; Paweł Koteja
Journal:  Curr Zool       Date:  2016-03-24       Impact factor: 2.624

6.  The Genomic Basis of Tumor Regression in Tasmanian Devils (Sarcophilus harrisii).

Authors:  Mark J Margres; Manuel Ruiz-Aravena; Rodrigo Hamede; Menna E Jones; Matthew F Lawrance; Sarah A Hendricks; Austin Patton; Brian W Davis; Elaine A Ostrander; Hamish McCallum; Paul A Hohenlohe; Andrew Storfer
Journal:  Genome Biol Evol       Date:  2018-11-01       Impact factor: 3.416

7.  Regulatory and sequence evolution in response to selection for improved associative learning ability in Nasonia vitripennis.

Authors:  Ken Kraaijeveld; Vicencio Oostra; Maartje Liefting; Bregje Wertheim; Emile de Meijer; Jacintha Ellers
Journal:  BMC Genomics       Date:  2018-12-10       Impact factor: 3.969

8.  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

9.  The effect of monoamines reuptake inhibitors on aerobic exercise performance in bank voles from a selection experiment.

Authors:  Ewa Jaromin; Edyta T Sadowska; Paweł Koteja
Journal:  Curr Zool       Date:  2018-08-08       Impact factor: 2.624

10.  Experimental Evolution on a Wild Mammal Species Results in Modifications of Gut Microbial Communities.

Authors:  Kevin D Kohl; Edyta T Sadowska; Agata M Rudolf; M Denise Dearing; Paweł Koteja
Journal:  Front Microbiol       Date:  2016-05-04       Impact factor: 5.640

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