Literature DB >> 23887676

Transcriptome of Atlantic cod (Gadus morhua L.) early embryos from farmed and wild broodstocks.

Carlos Frederico Ceccon Lanes1, Teshome Tilahun Bizuayehu, Jorge Manuel de Oliveira Fernandes, Viswanath Kiron, Igor Babiak.   

Abstract

Significant efforts have been made to elucidate factors affecting egg quality in fish. Recently, we have shown that eggs originating from wild broodstock (WB) of Atlantic cod (Gadus morhua L.) are of superior quality to those derived from farmed broodstock (FB), and this is associated with differences in the chemical composition of egg yolk. However, maternal transcripts, accumulated during oogenesis, have not been studied extensively in fish. The aim of the present study was to characterize putative maternal mRNA transcriptome in fertilized eggs of Atlantic cod and to compare transcript pools between WB and FB in order to investigate the relation between egg developmental potential and putative maternal mRNA deposits. We performed high-throughput 454 pyrosequencing. For each WB and FB group, five cDNA libraries were individually tagged and sequenced, resulting in 98,687 (WB) and 119,333 (FB) average reads per library. Sequencing reads were de novo assembled, annotated, and mapped. Out of 13,726 identified isotigs, 238 were differentially expressed between WB and FB, with 155 isotigs significantly upregulated in WB. The sequence reads were mapped to 11,340 different Atlantic cod transcripts and 158 sequences were differentially expressed between the 2 groups. Important transcripts involved in fructose metabolism, fatty acid metabolism, glycerophospholipid metabolism, and oxidative phosphorylation were differentially represented between the two broodstock groups, showing potential as biomarkers of egg quality in teleosts. Our findings contribute to the hypothesis that maternal mRNAs affect egg quality and, consequently, the early development of fish.

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Year:  2013        PMID: 23887676     DOI: 10.1007/s10126-013-9527-y

Source DB:  PubMed          Journal:  Mar Biotechnol (NY)        ISSN: 1436-2228            Impact factor:   3.619


  59 in total

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