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引用本文:王忠良,丁燏,许尤厚,王蓓,张健东.马氏珠母贝(Pinctada fucata)血细胞转录组测序数据中SNP标记的开发及其功能注释分析.海洋与湖沼,2018,49(2):403-412.
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马氏珠母贝(Pinctada fucata)血细胞转录组测序数据中SNP标记的开发及其功能注释分析
王忠良1,2, 丁燏1, 许尤厚3, 王蓓1, 张健东1,2
1.广东海洋大学水产学院 湛江 524088;2.南海水产经济动物增养殖广东省普通高校重点实验室 湛江 524088;3.广西北部湾海洋生物多样性养护重点实验室(钦州学院) 钦州 535000
摘要:
本文基于马氏珠母贝(Pinctada fucata)血细胞比较转录组学数据进行单核苷酸多态性标记(SNP)的开发和关联基因的功能注释分析,以期为SNP标记的利用提供有效信息。在转录组测序获得的67632条SNP-unigenes中共获得962995个SNP位点,位点平均发生频率约为1个SNP/100bp;转换SNP数目与颠换SNP数目比值约为0.5,与理论比率相符;而6种单核苷酸变异类型中,以A/T颠换SNP最多。SNP-unigene功能注释分析表明,30376条unigenes (44.91%)匹配到GO分类条目;18150条unigenes (26.84%)获得COG注释信息,并以"一般功能预测"类最多;10981条unigenes (16.24%)富集到32条KEGG子集,其中以"信号转导"子集中富集的SNP-unigene最多。进一步富集分析显示629个SNP-unigenes注释到"Platelet activation"等多条免疫防御相关信号通路中;同时,根据SNP位点分布情况筛选到123个溶藻弧菌感染前、后转录组中特异分布的免疫防御相关候选SNP位点。基于标准化的基因表达水平分析,在17个差异表达免疫防御相关基因中共检测到1594个SNP位点。
关键词:  马氏珠母贝  单核苷酸多态性标记  转录组  分子标记
DOI:10.11693/hyhz20171000264
分类号:Q789
基金项目:广东省省级科技计划项目,2015A020209169号;广东海洋大学优秀青年骨干教师特别资助计划项目,GDOU2015050214号;国家自然科学基金项目,31202023号;广西北部湾海洋生物多样性养护重点实验室(钦州学院)开放课题,2017KB03号。
附件
SNP DISCOVERY AND FUNCTIONAL ANNOTATION IN TRANSCRIPTOME DATASETS FROM HEMOCYTES OF PINCTADA FUCATA
WANG Zhong-Liang1,2, DING Yu1, XU You-Hou3, WANG Bei1, ZHANG Jian-Dong1,2
1.Fisheries College, Guangdong Ocean University, Zhanjiang 524088, China;2.Key Laboratory of Aquaculture in South China Sea for Aquatic Economic Animal of Guangdong Higher Education Institutes, Zhanjiang 524088, China;3.Guangxi Key Laboratory of Beibu Gulf Marine Biodiversity Conservation, Qinzhou University, Qinzhou 535000, China
Abstract:
To enrich more SNP markers for prospective genetic studies in Pinctada fucata, SNPs were predicted and characterized by analyzing reads from hemocytes transcriptome. A total of 962995 SNPs of high quality were predicted from 67632 SNP-unigenes. The average SNP frequency was one SNP per 100 bp and the estimated ratio of transition to transversion was 0.5, which is in coincidence with the theoretical ratio. A/T was the most abundant SNP type among the six SNP mutation types. By matching GO, COG and KEGG databases, 30376 (44.91%), 18150 (26.84%, "general function prediction only" was the most dominant group) and 10981 (16.24%, "signal transduction" was the largest group) SNP-unigenes were annotated, respectively. Further enrichment and SNP distribution analysis indicated that 629 SNP-unigenes were enriched in some well-known immune-related signal pathways, and 36 and 87 specific immune-related SNPs (123 SNPs in total) were detected from pre-and post-challenged transcriptomes, respectively. Additionally, 1594 SNPs were predicted in 17 differentially expressed immune-related unigenes based on the analysis on normalized gene expressed level.
Key words:  Pinctada fucata  single nucleotide polymorphism  transcriptome  molecular marker
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