摘要
通过对3头18月龄安格斯牛下丘脑-垂体-卵巢组织进行转录组测序和生物信息学比较分析,筛选和挖掘与肉牛繁殖活动相关候选基因和信号通路。通过转录组测序,进行表达基因分析、GO和KEGG富集分析以及信号通路筛选。结果显示,共获得61.92 Gb Clean Data,各样品Clean Data均达到6.88 Gb,Q30碱基百分比在92.42%及以上。有15154个基因在所有组织中都有表达,有4780个基因只在2种组织器官中共同表达,有5809个基因只在其中的一个组织器官中表达。下丘脑-垂体-卵巢各组织所表达的基因中,在GO数据库得到注释的分别为2168,2101,13777个,在KEGG数据库中得到注释分别有12477,12446,12176个。在所有KEGG通路中,Notch信号通路(notch signaling pathway)、神经营养因子信号通路(neurotrophin signaling pathway)和血管内皮生长因子信号通路(VEGF signaling pathway)的表达频率最高,说明这些信号通路可能也参与下丘脑-垂体-卵巢轴对母牛繁殖活动的调节。
The aim of this study was to screen the signaling pathways and mine the genes related to the development of hypothalamic-pituitary-ovary(HPO)axis in pubertal cows by transcriptome sequencing and bioinformatics analysis.IlluminaⅡhigh-throughput sequencing technology was used to sequence transcriptomes of hypothalamic,pituitary and ovary of three 18-month-old Angus cattle.Differentially expressed genes analysis,GO and KEGG enrichment analysis and candidate gene screening were performed through transcriptome sequencing.The results showed that about 61.92 Gb Clean Data were obtained.The Clean Data of each sample reached 6.88 Gb.Q30 base percentage was above 92.42%.There were 15154 genes expressed in all tissues,4780 genes were co-expressed in two tissues,and 5809 genes were expressed only in one tissue.Of the genes expressed in hypothalamic,pituitary and ovary,2168,2101 and 13777 were annotated in the GO database,and 12477,12446 and 12176 were annotated in the KEGG database.It was found that the expressed genes are mainly concentrated in Notch signaling pathway,Neurotrophin signaling pathway and VEGF signaling pathway,indicating that these signaling pathways may also affect the reproductive activity of cows through the HPO axis.
作者
孙鏖
何芳
浣成
李昊帮
伍佰鑫
胡雄贵
易康乐
SUN Ao;HE Fang;HUAN Cheng;LI Haobang;WU Baixin;HU Xionggui;YI Kangle(Hunan Institute of Animal and Veterinary Science,Changsha 410130,China)
出处
《中国兽医学报》
CAS
CSCD
北大核心
2021年第2期345-352,共8页
Chinese Journal of Veterinary Science
基金
国家重点研发计划资助项目(2018YFD050170)
湖南省科学技术厅重大专项资助项目(2017NK1020)
湖南省科学技术厅重点研发计划资助项目(2016NK2171)。
