| Literature DB >> 28923703 |
Yongfang Jia1, Ping Nan1, Wanwan Zhang1, Fang Wang1, Ruihua Zhang1, Tingting Liang1, Xiaolin Ji1, Qiyan Du1, Zhongjie Chang2.
Abstract
Ovary development is a complex process involving numerous genes; the molecular mechanism underlying the ovary development of carp is still unknown. Here we used Illumina HiSeq™ 2500 to explore the transcriptome of undifferentiated gland (PG), juvenile ovary (OJ) and adult ovary (OA) of Yellow River carp (Cyprinus carpio). A total of 58,749 unigenes were obtained, comprising 45,707 known genes and 13,042 new genes. We identified differentially-expressed genes (DEGs) during development and characterized the functional properties of DEGs by comparison with the gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes databases. qRT-PCR was used to analyze the expression of 22 DEGs and the results corresponded with those of RNA-Seq. Among DEGs between PG and OJ, some upstream regulators of gonad development were upregulated in PG, such as cyp19a and sox9, while some oocyte-specific genes were upregulated in OJ, such as nobox, bmp15 and zp2. Among DEGs between OJ and OA, many oocyte physiological function-related genes were upregulated in OA, such as fem-1 and foxl2. GO analysis showed a higher number of DEGs from PG-OJ analysis were assigned to reproduction terms. Furthermore, our investigation has also revealed DEGs identified from PG-OJ analysis were enriched in several important functional pathways, such as Fanconi anemia and the notch signal pathway. These data suggested a dynamic shift in gene expression during ovary development, and DEGs between PG and OJ provided crucial candidate gene data for the study of ovarian differentiation. Additionally, a total of 1,776,769 single nucleotide polymorphisms and 157,279 INDEs were revealed from transcriptome data. This result will contribute to knowledge of ovary differentiation of Yellow River carp.Entities:
Keywords: Differentially expressed genes; Ovary development; SNP; Signal pathway; Transcriptome; Yellow River carp
Mesh:
Year: 2017 PMID: 28923703 DOI: 10.1016/j.theriogenology.2017.08.027
Source DB: PubMed Journal: Theriogenology ISSN: 0093-691X Impact factor: 2.740