Literature DB >> 21087448

The transcriptomics of sympatric dwarf and normal lake whitefish (Coregonus clupeaformis spp., Salmonidae) divergence as revealed by next-generation sequencing.

Julie Jeukens1, Sébastien Renaut, Jérôme St-Cyr, Arne W Nolte, Louis Bernatchez.   

Abstract

Gene expression divergence is one of the mechanisms thought to be involved in the emergence of incipient species. Next-generation sequencing has become an extremely valuable tool for the study of this process by allowing whole transcriptome sequencing, or RNA-Seq. We have conducted a 454 GS-FLX pyrosequencing experiment to refine our understanding of adaptive divergence between dwarf and normal lake whitefish species (Coregonus clupeaformis spp.). The objectives were to: (i) investigate transcriptomic divergence as measured by liver RNA-Seq; (ii) test the correlation between divergence in expression and sequence polymorphism; and (iii) investigate the extent of allelic imbalance. We also compared the results of RNA-seq with those of a previous microarray study performed on the same fish. Following de novo assembly, results showed that normal whitefish overexpressed more contigs associated with protein synthesis while dwarf fish overexpressed more contigs related to energy metabolism, immunity and DNA replication and repair. Moreover, 63 SNPs showed significant allelic imbalance, and this phenomenon prevailed in the recently diverged dwarf whitefish. Results also showed an absence of correlation between gene expression divergence as measured by RNA-Seq and either polymorphism rate or sequence divergence between normal and dwarf whitefish. This study reiterates an important role for gene expression divergence, and provides evidence for allele-specific expression divergence as well as evolutionary decoupling of regulatory and coding sequences in the adaptive divergence of normal and dwarf whitefish. It also demonstrates how next-generation sequencing can lead to a more comprehensive understanding of transcriptomic divergence in a young species pair.
© 2010 Blackwell Publishing Ltd.

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Year:  2010        PMID: 21087448     DOI: 10.1111/j.1365-294X.2010.04934.x

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


  37 in total

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Review 2.  RNA-Seq technology and its application in fish transcriptomics.

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Journal:  Heredity (Edinb)       Date:  2013-01-16       Impact factor: 3.821

4.  Divergence in expression of candidate genes for the smoltification process between juvenile resident rainbow and anadromous steelhead trout.

Authors:  Benjamin C Hecht; Madeline E Valle; Frank P Thrower; Krista M Nichols
Journal:  Mar Biotechnol (NY)       Date:  2014-06-21       Impact factor: 3.619

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Authors:  Pin Huan; Hongxia Wang; Baozhong Liu
Journal:  Mar Biotechnol (NY)       Date:  2011-05-21       Impact factor: 3.619

6.  Expressed sequences and polymorphisms in rohu carp (Labeo rohita, Hamilton) revealed by mRNA-seq.

Authors:  Nicholas Robinson; Pramoda K Sahoo; Matthew Baranski; Kanta Das Mahapatra; Jatindra N Saha; Sweta Das; Yashowant Mishra; Paramanandra Das; Hirak K Barman; Ambekar E Eknath
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7.  Differences in Effective Ploidy Drive Genome-Wide Endosperm Expression Polarization and Seed Failure in Wild Tomato Hybrids.

Authors:  Morgane Roth; Ana M Florez-Rueda; Thomas Städler
Journal:  Genetics       Date:  2019-03-22       Impact factor: 4.562

8.  Exploring the transcriptome of Atlantic salmon (Salmo salar) skin, a major defense organ.

Authors:  Giulia Micallef; Ralph Bickerdike; Caroline Reiff; Jorge M O Fernandes; Alan S Bowman; Samuel A M Martin
Journal:  Mar Biotechnol (NY)       Date:  2012-04-19       Impact factor: 3.619

9.  Rapid niche expansion by selection on functional genomic variation after ecosystem recovery.

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Journal:  Nat Ecol Evol       Date:  2018-12-03       Impact factor: 15.460

10.  Fast skeletal muscle transcriptome of the gilthead sea bream (Sparus aurata) determined by next generation sequencing.

Authors:  Daniel Garcia de la Serrana; Alicia Estévez; Karl Andree; Ian A Johnston
Journal:  BMC Genomics       Date:  2012-05-11       Impact factor: 3.969

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