摘要
文章以大口黑鲈(Micropterus salmoides)组织作为研究对象,利用RNA-seq技术进行转录本测序和数据分析,经拼接组装,最终获得35 659条unigenes,序列平均长度738 bp,序列长度中位数(N50)为1 052 bp。另外从长度分布与GC含量等方面对unigenes进行评估,数据显示测序质量好、可信度高。使用6大数据库(KOG、Nr、Pfam、Swiss-Prot、GO和KEGG)注释大口黑鲈转录组unigenes,分别对应有15 832、21 279、14 524、16 973、15 024和11 185条unigenes获得注释。其中,5 617条unigenes在以上所有数据库中同时注释成功,17 253条unigenes至少被一个数据库注释。KEGG分析结果显示,获得注释的11 185条unigenes被划分到267个代谢通路中,参与信号转导通路的unigenes数量最多,共有1 349条(12.06%)。另外还检测到4 030个微卫星(SSR)位点。通过对大口黑鲈转录组测序,获得了大量的转录组信息,为大口黑鲈的功能基因克隆、基因组学、遗传多样性分析、分子标记开发及遗传改良等研究奠定了基础。
The transcripts of Micropterus salmoides were obtained by RNA-seq technology to conduct a transcriptomic analysis. A total of 35 659 unigenes were generated by de novo assembly with an average length of 738 bp and N50 of 1052 bp. The unigenes were assessed for length distribution and GC content. The sequencing data were of high quality and reliability. A total of 15832, 21279, 14524, 16973, 15024 and 11185 unigenes were annotated from the KOG, Nr, Pfam, Swiss-Prot, GO and KEGG databases, respectively, among which 5617 were annotated in all the databases and 17253 were annotated in at least one database. Blasted with KEGG pathway, 11185 unigenes were annotated, belonging to 267 categories. Of all the pathways, the number of unigenes joining in the signal transduction was the most (1349, 12.06%). Finally, 4030 SSRs were identified. The results provide rich data to understand transcriptome information of M. salmoides and lay the foundation for further research on functional gene cloning, genomics, genetic diversity analysis, molecular marker exploitation and genetic improvement in M. salmoides.
作者
黄勇
龚望宝
陈海刚
熊建利
孙西红
HUANG Yong;GONG Wangbao;CHEN Haigang;XIONG Jianli;SUN Xihong(College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471003, China;Pearl RiverFisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510380, China;Guangdong Provincial KeyLaboratory of Fishery Ecology and Environment, South China Sea Fisheries Research Institute, Chinese Academy ofFishery Sciences, Guangzhou 510380, China)
出处
《南方水产科学》
CAS
CSCD
北大核心
2019年第1期106-112,共7页
South China Fisheries Science
基金
国家科技支撑计划项目(2012BAD25B04)
河南省自然科学基金项目(162300410069)
河南省高等学校重点科研项目(16A240002)
广东省渔业生态环境重点实验室开放基金(LFE-2016-13)