Suppr超能文献

构建栉孔扇贝生长和营养性状的高密度遗传图谱及精细 QTL 定位。

Construction of a high-density genetic map and fine QTL mapping for growth and nutritional traits of Crassostrea gigas.

机构信息

Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.

University of Chinese Academy of Sciences, Beijing, China.

出版信息

BMC Genomics. 2018 Aug 22;19(1):626. doi: 10.1186/s12864-018-4996-z.

Abstract

BACKGROUND

Both growth and nutritional traits are important economic traits of Crassostrea gigas (C. gigas) in industry. But few work has been done to study the genetic architecture of nutritional traits of the oyster. In this study, we constructed a high-density genetic map of C. gigas to help assemble the genome sequence onto chromosomes, meanwhile explore the genetic basis for nutritional traits via quantitative trait loci (QTL) mapping.

RESULTS

The constructed genetic map contained 5024 evenly distributed markers, with an average marker interval of 0.68 cM, thus representing the densest genetic map produced for the oyster. According to the high collinearity between the consensus map and the oyster genome, 1574 scaffold (about 70%) of the genome sequence of C. gigas were successfully anchored to 10 linkage groups (LGs) of the consensus map. Using this high-qualified genetic map, we then conducted QTL analysis for growth and nutritional traits, the latter of which includes glycogen, amino acid (AA), and fatty acid (FA). Overall, 41 QTLs were detected for 17 traits. In addition, six candidate genes identified in the QTL interval showed significant correlation with the traits on transcriptional levels. These genes include growth-related genes AMY and BMP1, AA metabolism related genes PLSCR and GR, and FA metabolism regulation genes DYRK and ADAMTS.

CONCLUSION

Using the constructed high-qualified linkage map, this study not only assembled nearly 70% of the oyster genome sequence onto chromosomes, but also identified valuable markers and candidate genes for growth and nutritional traits, especially for AA and FA that undergone few studies before. These findings will facilitate genome assembly and molecular breeding of important economic traits in C. gigas.

摘要

背景

生长和营养特性都是扇贝(Crassostrea gigas)产业的重要经济特性。但很少有工作研究牡蛎营养特性的遗传结构。本研究构建了扇贝高密度遗传图谱,以帮助将基因组序列组装到染色体上,同时通过数量性状位点(QTL)作图探索营养特性的遗传基础。

结果

构建的遗传图谱包含 5024 个均匀分布的标记,平均标记间隔为 0.68 cM,是牡蛎中最密集的遗传图谱。根据共识图谱与牡蛎基因组之间的高度共线性,成功将 C. gigas 基因组的 1574 个支架(约 70%)锚定到共识图谱的 10 个连锁群(LG)上。利用这种高质量的遗传图谱,我们对生长和营养特性进行了 QTL 分析,后者包括糖原、氨基酸(AA)和脂肪酸(FA)。总共检测到 17 个性状的 41 个 QTL。此外,在 QTL 区间中鉴定的 6 个候选基因在转录水平上与性状表现出显著相关性。这些基因包括与生长相关的基因 AMY 和 BMP1、AA 代谢相关的基因 PLSCR 和 GR,以及 FA 代谢调控基因 DYRK 和 ADAMTS。

结论

利用构建的高质量连锁图谱,本研究不仅将牡蛎基因组序列的近 70%组装到染色体上,还鉴定了生长和营养特性的有价值的标记和候选基因,特别是以前研究较少的 AA 和 FA。这些发现将有助于 C. gigas 基因组组装和重要经济性状的分子育种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ee/6106840/58fe1056da68/12864_2018_4996_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验