Transcriptomic analysis of differentially expressed genes between uterus and ovary in Xiangxi cattle

Author:

Song Wu,Li Jianbo,Sun Ao,Long Yun

Abstract

Reproductive efficiency of a heifer is directly dependent on the health of reproductive system especially ovary and uterus. Current experiment was carried out to screen candidate genes related to reproductive traits and detect molecular mechanisms of DEGs by using RNA-sequencing (RNAseq) and Gene Set Enrichment Analysis (GSEA) to understand the environmental adaptability, molecular breeding and analyze the reproductive performance. Furthermore, Illumina II high throughput sequncing technology was utilized in the current experiment to sequence transcriptomes and analysis related to pathway of different genes between uterus and ovary in Xiangxi cattle. The total number of ovary assembled was compared to the reference genome sequence, DEGs analysis, GO and KEGG enrichment analysis and candidate gene screening were performed. Based on the transcriptome data, seven cDNA libraries were constructed by utilizing total RNA. Out of seven contracted cDNA libraries, in every sequencing library, raw reads reached >133 Mb, and >94% clean reads remained. After comparing the Xiangxi cattle ovaries with the uterus, a total of 3635 mRNAs were found, in which 1608 were significantly up-regulated expressed and 2027 were down-regulated expression mRNAs. The mRNA expression of ADCY3, ADCY4, ADCY9, FSHR, BMP15, LHCGR, INSR, CYP11A1, CYP17A1, CYP19A1, STAR and SCARB1 in ovary of Xiangxi Cattle were significant different in ovarian and uterus tissues. Through GSEA and PPI network, we found the ovarian steroidogenesis pathway played significant role in signal regulation during the development of the ovarian tissue of the Xiangxi cattle

Publisher

Pakistan Journal of Agricultural Sciences

Subject

Plant Science,Soil Science,Agronomy and Crop Science,Food Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3