Literature DB >> 16626448

Variation within and among species in gene expression: raw material for evolution.

Andrew Whitehead1, Douglas L Crawford.   

Abstract

Heritable variation in regulatory or coding regions is the raw material for evolutionary processes. The advent of microarrays has recently promoted examination of the extent of variation in gene expression within and among taxa and examination of the evolutionary processes affecting variation. This review examines these issues. We find: (i) microarray-based measures of gene expression are precise given appropriate experimental design; (ii) there is large inter-individual variation, which is composed of a minor nongenetic component and a large heritable component; (iii) variation among populations and species appears to be affected primarily by neutral drift and stabilizing selection, and to a lesser degree by directional selection; and (iv) neutral evolutionary divergence in gene expression becomes nonlinear with greater divergence times due to functional constraint. Evolutionary analyses of gene expression reviewed here provide unique insights into partitioning of regulatory variation in nature. However, common limitations of these studies include the tendency to assume a linear relationship between expression divergence and species divergence, and failure to test explicit hypotheses that involve the ecological context of evolutionary divergence.

Mesh:

Year:  2006        PMID: 16626448     DOI: 10.1111/j.1365-294X.2006.02868.x

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


  124 in total

1.  Transcriptomic resilience to global warming in the seagrass Zostera marina, a marine foundation species.

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Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-14       Impact factor: 11.205

2.  Acclimation and acute temperature effects on population differences in oxidative phosphorylation.

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3.  Geographical, environmental and pathophysiological influences on the human blood transcriptome.

Authors:  Rubina Tabassum; Artika Nath; Marcela Preininger; Greg Gibson
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4.  Key considerations for measuring allelic expression on a genomic scale using high-throughput sequencing.

Authors:  Pierre Fontanillas; Christian R Landry; Patricia J Wittkopp; Carsten Russ; Jonathan D Gruber; Chad Nusbaum; Daniel L Hartl
Journal:  Mol Ecol       Date:  2010-03       Impact factor: 6.185

5.  Neutral and adaptive variation in gene expression.

Authors:  Andrew Whitehead; Douglas L Crawford
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-27       Impact factor: 11.205

6.  Allelic imbalance in Drosophila hybrid heads: exons, isoforms, and evolution.

Authors:  R M Graze; L L Novelo; V Amin; J M Fear; G Casella; S V Nuzhdin; L M McIntyre
Journal:  Mol Biol Evol       Date:  2012-01-07       Impact factor: 16.240

Review 7.  Individual variation in endocrine systems: moving beyond the 'tyranny of the Golden Mean'.

Authors:  Tony D Williams
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-05-12       Impact factor: 6.237

8.  Genomewide identification of genes under directional selection: gene transcription Q(ST) scan in diverging Atlantic salmon subpopulations.

Authors:  C Roberge; H Guderley; L Bernatchez
Journal:  Genetics       Date:  2007-08-24       Impact factor: 4.562

9.  Snake population venomics: proteomics-based analyses of individual variation reveals significant gene regulation effects on venom protein expression in Sistrurus rattlesnakes.

Authors:  H Lisle Gibbs; Libia Sanz; Juan J Calvete
Journal:  J Mol Evol       Date:  2009-01-30       Impact factor: 2.395

10.  Adaptive divergence of a transcriptional enhancer between populations of Drosophila melanogaster.

Authors:  Amanda Glaser-Schmitt; Ana Catalán; John Parsch
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-11-11       Impact factor: 6.237

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