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Characterization of the Rainbow Trout Egg MicroRNA Transcriptome

Overview of attention for article published in PLOS ONE, June 2012
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Title
Characterization of the Rainbow Trout Egg MicroRNA Transcriptome
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0039649
Pubmed ID
Authors

Hao Ma, Mark Hostuttler, Hairong Wei, Caird E. Rexroad, Jianbo Yao

Abstract

MicroRNAs (miRNAs) are a class of endogenous small non-coding RNA molecules that regulate post-transcriptional expression of target genes and play important roles in animal development. The objectives of this study were to characterize the egg miRNA transcriptome and identify novel egg-predominant miRNAs in rainbow trout. Small RNAs isolated from mature unfertilized rainbow trout eggs were subjected to deep sequencing using an Illumina Genome Analyzer. The massive sequencing produced 24,621,741 quality reads, among which, 266 known miRNAs were identified and 230 putatively novel miRNAs were predicted. The most abundantly known miRNAs are let-7 and miR-21, accounting for 24.06% and 18.71% of the known miRNAs, respectively. Other known miRNAs which are abundantly present in eggs include miR-24, miR-202, miR-148, miR-30, miR-10, miR-146, miR-25, and miR-143. Real time PCR analysis using cDNAs derived from 10 tissues validated 87 out of 90 selected putative miRNAs and identified three novel miRNAs predominantly expressed in rainbow trout eggs. Each of these novel egg-predominant miRNAs is predicted to target a significant number of genes, most of which are significantly down-regulated in naturally ovulated rainbow trout eggs based on analysis of publicly available microarray data sets. Quantitative real time PCR analysis also demonstrated low expression of a selected number of target genes in eggs relative to liver and muscle tissues. This study represents the first complete survey of miRNAs in fish eggs and provides a starting point for future studies aimed at understanding the roles of miRNAs in controlling egg quality and early embryogenesis in rainbow trout.

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Geographical breakdown

Country Count As %
United States 1 1%
Netherlands 1 1%
Unknown 84 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 33%
Student > Ph. D. Student 19 22%
Student > Bachelor 6 7%
Student > Postgraduate 4 5%
Student > Master 4 5%
Other 11 13%
Unknown 14 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 58%
Biochemistry, Genetics and Molecular Biology 10 12%
Environmental Science 3 3%
Veterinary Science and Veterinary Medicine 2 2%
Social Sciences 1 1%
Other 1 1%
Unknown 19 22%