The authors are broadly interested in the nature of genetic changes that are associated with speciation. This study is part of Sébastien Renaut’s doctoral research, which aims to study the genomic bases of adaptive divergence in the context of a recent ongoing speciation event in lake whitefish. Arne Nolte is interested in the diversity of fishes and understanding the role that environmental and intrinsic factors play in evolution. Louis Bernatchez’s research focuses on understanding the patterns and processes of molecular and organismal evolution as well as their significance to conservation.
Mining transcriptome sequences towards identifying adaptive single nucleotide polymorphisms in lake whitefish species pairs (Coregonus spp. Salmonidae)
Article first published online: 10 FEB 2010
© 2010 Blackwell Publishing Ltd
Special Issue: Next Generation Molecular Ecology
Volume 19, Issue Supplement s1, pages 115–131, March 2010
How to Cite
RENAUT, S., NOLTE, A. W. and BERNATCHEZ, L. (2010), Mining transcriptome sequences towards identifying adaptive single nucleotide polymorphisms in lake whitefish species pairs (Coregonus spp. Salmonidae). Molecular Ecology, 19: 115–131. doi: 10.1111/j.1365-294X.2009.04477.x
- Issue published online: 10 FEB 2010
- Article first published online: 10 FEB 2010
- Received 27 May 2009; revision received 18 August 2009; accepted 25 August 2009
- adaptive divergence;
- natural selection;
- next-generation sequencing;
- single nucleotide polymorphism;
Next-generation sequencing allows the discovery of large numbers of single nucleotide polymorphisms (SNPs) in species where little genomic information was previously available. Here, we assembled, de novo, over 130 mb of non-normalized cDNA using 454 pyrosequencing data from dwarf and normal lake whitefish and backcross hybrids. Our main goals were to gather a large data set of SNP markers, document their distribution within coding regions, evaluate the effect of species divergence on allele frequencies and combine results with previous genomic studies to identify candidate genes underlying the adaptive divergence of lake whitefish. We identified 6094 putative SNPs in 2674 contigs (mean size: 576 bp, range: 101–6116) and 1540 synonymous and 1734 non-synonymous mutations for a genome-wide non-synonymous to synonymous substitution rate ratio (pN/pS) of 0.37. As expected based on the young age (<15 000 years) of whitefish species pair, the overall level of divergence between them was relatively weak. Yet, 89 SNPs showed pronounced allele frequency differences between sympatric normal and dwarf whitefish. Among these, SNPs in genes annotated to energy metabolic functions were the most abundant and this, in addition to previous experimental data at the gene expression and phenotypic level, brings compelling evidence that genes involved in energy metabolism are prime candidates explaining the adaptive divergence of lake whitefish species pairs. Finally, we unexpectedly identified 44 contigs annotated to transposable elements and these were predominantly composed of backcross hybrids sequences. This indicates an elevated activity of transposable elements, which could potentially contribute to the reduced fitness of hybrids previously documented.