基于转录组学筛选哈萨克马泌乳量相关基因  

Screening of Genes Related to Lactation in Kazakh Horses Based on Transcriptomic

作　　者：孟晨 曾亚琦[1,2] 王建文 姚新奎[1,2] 罗鹏辉 解晓钰[3] 李鹏程 刘晓晓 王川坤 孟军 MENG Chen;ZENG Yaqi;WANG Jianwen;YAO Xinkui;LUO Penghui;XIE Xiaoyu;LI Pengcheng;LIU Xiaoxiao;WANG Chuankun;MENG Jun(College of Animal Science/Institute of Equine Industry,Xinjiang Agricultural University,Urumqi 830052,China;Key Laboratory of Equine Breeding and Exercise Physiology,Urumqi 830052,China;Xinjiang Uygur Autonomous Region Animal Husbandry Station,Urumqi 830000,China)

机构地区：[1]新疆农业大学动物科学学院/马产业研究院,乌鲁木齐830052 [2]新疆马繁育与运动生理重点实验室,乌鲁木齐830052 [3]新疆维吾尔自治区畜牧总站,乌鲁木齐830000

出　　处：《中国畜牧兽医》2024年第12期5392-5404,共13页China Animal Husbandry & Veterinary Medicine

基　　金：新疆维吾尔自治区重大科技专项“国产马专门化品系高效繁育技术体系构建”(2022A02013-1);自治区创新环境(人才、基地)建设专项“马种质创新培育与高效健康养殖重点实验室平台建设”(PT2311);中央引导地方科技发展专项资金项目“专门化运动马培育技术服务支撑”(ZYYD2023C02)。

摘　　要：【目的】筛选影响哈萨克马泌乳量的基因,为选育乳用型哈萨克马提供数据支撑。【方法】采集12匹泌乳高峰期哈萨克马血样进行转录组测序,对测序数据质控后筛选差异表达基因(differentially expressed gene,DEG),对其进行GO功能和KEGG通路富集分析,绘制富集通路桑基气泡图,筛选与哈萨克马泌乳量相关的基因,并构建基因互作网络。随机选择6个DEGs进行实时荧光定量PCR检测,验证转录组数据的准确性。【结果】在哈萨克马高、低泌乳量组中共鉴定出286个DEGs,其中上调基因198个,下调基因98个。GO功能分析共富集到27个条目,包括细胞结构、细胞酶活性及物质运输等;KEGG通路分析共富集到13条通路,包括细胞自噬、增殖、迁移相关细胞过程,以及神经信号传导、激素分泌、蛋白质代谢、环境适应及免疫疾病。通过STRING程序构建了1个由95个DEGs组成的基因互作调控网络,并筛选出了10个与泌乳量相关的Hub DEGs。实时荧光定量PCR结果表明,6个基因在哈萨克马高、低泌乳量组变化趋势与转录组测序结果基本一致。【结论】本研究筛选出KCNN 4、CAMK 2 B、CACNA 1 D、CACNA 1 E、GRIA 4等基因与泌乳高峰期哈萨克马泌乳量有关,这些基因可能通过复杂的互作机制参与跨膜运输、离子通道、胰岛素和皮质醇分泌、ErbB等信号通路来调控哈萨克马泌乳。【Objective】The aim of this experiment was to screen the genes affecting lactation in Kazakh horses and provide data support for the selection of Kazakh horses for dairy type.【Method】Transcriptome sequencing was performed on whole blood from the jugular vein of 12 Kazakh horses at peak lactation to screen differentially expressed gene(DEG)related to lactation in Kazakh horses.GO function and KEGG pathway enrichment analysis were performed on DEGs,and Sankey bubble maps of the enriched pathways were plotted to screen for genes related to lactation in Kazakh horses and construct a gene interaction network.6 DEGs were randomly selected for Real-time quantitative PCR to verify the accuracy of transcriptome data.【Result】A total of 286 DEGs were identified in the high and low lactation group,including 198 up-regulated genes and 98 down-regulated genes.27 terms were enriched by GO enrichment analysis,which included cell structure,cellular enzyme activity,substance transport,etc.13 pathways were enriched by KEGG enrichment analysis,which included cellular processes related to cellular autophagy,proliferation and migration as well as neural signaling,hormone secretion,protein metabolism,environmental adaptation and immune diseases.A regulatory network of 95 DEGs was constructed by STRING program,and a Hub group of 10 DEGs was screened out.Real-time quantitative PCR results showed that the trends of the detected genes in the high and low lactation groups of Kazakh horses were basically consistent with RNA-Seq results.【Conclusion】This study screened the genes KCNN 4,CAMK 2 B,CACNA 1 D,CACNA 1 E and GRIA 4 to be related to the amount of lactation of Kazakh horses during peak lactation,and these genes regulated lactation of Kazakh horses through reciprocal regulation of transmembrane transport,insulin and cortisol secretion and ErbB signaling pathway.

关 键 词：哈萨克马 泌乳量 转录组测序 差异表达基因 

分 类 号：S821.89[农业科学—畜牧学]