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MicroRNA profile analysis on duck feather follicle and skin with high-throughput sequencing technology  ( SCI-EXPANDED收录)   被引量:25

文献类型:期刊文献

英文题名:MicroRNA profile analysis on duck feather follicle and skin with high-throughput sequencing technology

作者:Zhang, Li[1];Nie, Qinghua[2];Su, Ying[1];Xie, Xiujuan[2];Luo, Wen[2];Jia, Xinzheng[2];Zhang, Xiquan[2]

机构:[1]Guangdong Ocean Univ, Coll Agr, Zhanjiang 524088, Peoples R China;[2]South China Agr Univ, Guangdong Prov Key Lab Agroanim Genom & Mol Breed, Guangzhou 510642, Guangdong, Peoples R China

年份:2013

卷号:519

期号:1

起止页码:77

外文期刊名:GENE

收录:SCI-EXPANDED(收录号:WOS:000317374300012)、、Scopus(收录号:2-s2.0-84875382703)、WOS

基金:This work was supported by the Open Fund of Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, South China Agricultural University. The authors wish to express their gratitude to Dr. Ailing Zhang and Dr. Shangang Jia for their valuable suggestions.

语种:英文

外文关键词:Duck; MicroRNA; Hair (feather) follicle; Skin; Feather

外文摘要:Skin acts an important protection role in animal survival and it evolves with the animal divergence. We identified the conserved miRNA families of skin among duck and other species. Cluster analysis showed that the species with similar skin characteristics were clustered into the same group, indicating miRNAs are important in skin function and skin evolution. The miRNA profiles demonstrated that different miRNA regulation mechanism may exist in contour feather follicles (with the surrounding skin) and down feather follicles (with the surrounding skin). Comparing the highly abundant miRNAs with those of mammalian hair follicles and skins, different miRNAs and miRNA families were found, suggesting the different ways in feather follicles and mammalian hair follicles. Bioinformatics prediction indicated that seven miRNAs probably targeted the genes of Wnt/beta-catenin, Shh/BMP and Notch pathways which were important in feather morphogenesis. Further analysis should be conducted to experimentally validate the relationships between miRNAs and their predicted target genes because the target genes were based exclusively upon the bioinformatics. (c) 2013 Elsevier B.V. All rights reserved.

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