Journal
MOLECULAR BIOLOGY AND EVOLUTION
Volume 32, Issue 3, Pages 674-689Publisher
OXFORD UNIV PRESS
DOI: 10.1093/molbev/msu328
Keywords
Gasterosteus aculeatus; gene expression; quantitative genetics; Q(ST); transcriptome; microarray
Funding
- Academy of Finland through the Centre of Excellence in Evolutionary Genetics and Physiology [129662]
- Academy of Finland [134728, 250435, 265211, 133875, 141231, 136464]
- Academy of Finland (AKA) [136464, 133875, 141231, 141231, 136464, 133875] Funding Source: Academy of Finland (AKA)
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Evidence implicating differential gene expression as a significant driver of evolutionary novelty continues to accumulate, but our understanding of the underlying sources of variation in expression, both environmental and genetic, is wanting. Heritability in particular may be underestimated when inferred from genetic mapping studies, the predominant genetical genomics approach to the study of expression variation. Such uncertainty represents a fundamental limitation to testing for adaptive evolution at the transcriptomic level. By studying the inheritance of expression levels in 10,495 genes (10,527 splice variants) in a threespine stickleback pedigree consisting of 563 individuals, half of which were subjected to a thermal treatment, we show that 74-98% of transcripts exhibit significant additive genetic variance. Dominance variance is also prevalent (41-99% of transcripts), and genetic sources of variation seem to play a more significant role in expression variance in the liver than a key environmental variable, temperature. Among-population comparisons suggest that the majority of differential expression in the liver is likely due to neutral divergence; however, we also show that signatures of directional selection may be more prevalent than those of stabilizing selection. This predominantly aligns with the neutral model of evolution for gene expression but also suggests that natural selection may still act on transcriptional variation in the wild. As genetic variation both within- and among-populations ultimately defines adaptive potential, these results indicate that broad adaptive potential may be found within the transcriptome.
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