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Parallelism in gene transcription among sympatric lake whitefish (Coregonus clupeaformis Mitchill) ecotypes

Authors


L. Bernatchez, Fax: 418-656-7176; E-mail: louis.bernatchez@bio.ulaval.ca

Abstract

We tested the hypothesis that phenotypic parallelism between dwarf and normal whitefish ecotypes (Coregonus clupeaformis, Salmonidae) is accompanied by parallelism in gene transcription. The most striking phenotypic differences between these forms implied energetic metabolism and swimming activity. Therefore, we predicted that genes showing parallel expression should mainly belong to functional groups associated with these phenotypes. Transcriptome profiles were obtained from white muscle by using a 3557 cDNA gene microarray developed for the Atlantic salmon (Salmo salar). A total of 1181 genes expressed in both lake populations hybridized on the array. Significant differential expression between ecotypes was detected for 134 (11.3%) and 195 (16.5%) gene clones in Cliff Lake and Indian Pond, respectively. Fifty-one genes (4.3%) showed parallel differential expression between lakes, among which 35 were expressed in opposite directions. Sixteen genes (1.35%) showed true parallelism of transcription, which mainly belonged to energetic metabolism and regulation of muscle contraction functional groups. Variance in expression was significantly reduced for these genes compared to those not showing directionality in parallelism of expression. Candidate genes associated with parallelism in swimming activity and energetic metabolism based on their level and variance in expression were identified. These results add to the growing evidence that parallel phenotypic evolution also involves parallelism at both the genotypic and regulatory level, which may at least partly be associated with genetic constraints. It also provides further evidence for the determinant role of divergent natural selection in driving phenotypic divergence, and perhaps reproductive isolation, in the adaptive radiation of lake whitefish. This study adds to a nascent field employing microarrays as powerful tools for investigating the evolutionary processes of adaptive divergence among natural populations.

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