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牡蛎基因组关联分析:营养性状的遗传效应和互作网络。

Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network.

机构信息

Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, Shandong, China.

National & Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, 266071, Shandong, China.

出版信息

BMC Genomics. 2019 Jul 31;20(1):625. doi: 10.1186/s12864-019-5971-z.

Abstract

BACKGROUND

Oyster is rich in glycogen and free amino acids and is called "the milk of sea". To understand the main genetic effects of these traits and the genetic networks underlying their correlation, we have conducted the whole genome resequencing with 427 oysters collected from the world-wide scale.

RESULTS

After association analysis, 168 clustered significant single nucleotide polymorphism (SNP) loci were identified for glycogen content and 17 SNPs were verified with 288 oyster individuals in another wide populations. These were the most important candidate loci for oyster breeding. Among 24 genes in the 100-kb regions of the leading SNP loci, cytochrome P450 17A1 (CYP17A1) contained a non-synonymous SNP and displayed higher expressions in high glycogen content individuals. This might enhance the gluconeogenesis process by the transcriptionally regulating the expression of phosphoenolpyruvate carboxykinase (PEPCK) and glucose 6-phosphatase (G6Pase). Also, for amino acids content, 417 clustered significant SNPs were identified. After genetic network analysis, three node SNP regions were identified to be associated with glycogen, protein, and Asp content, which might explain their significant correlation.

CONCLUSION

Overall, this study provides insights into the genetic correlation among complex traits, which will facilitate future oyster functional studies and breeding through molecular design.

摘要

背景

牡蛎富含糖原和游离氨基酸,被称为“海洋之奶”。为了了解这些性状的主要遗传效应以及它们相关性的遗传网络,我们对来自全球范围内的 427 只牡蛎进行了全基因组重测序。

结果

通过关联分析,我们鉴定了 168 个与糖原含量相关的聚集显著单核苷酸多态性(SNP)位点,并在另一个广泛的群体中对 288 个牡蛎个体进行了 17 个 SNP 的验证。这些是牡蛎育种的最重要候选位点。在 leading SNP 位点的 100-kb 区域内的 24 个基因中,细胞色素 P450 17A1(CYP17A1)包含一个非同义 SNP,并且在高糖原含量个体中表达更高。这可能通过转录调节磷酸烯醇丙酮酸羧激酶(PEPCK)和葡萄糖 6-磷酸酶(G6Pase)的表达来增强糖异生过程。此外,还鉴定了 417 个与氨基酸含量相关的聚集显著 SNP。通过遗传网络分析,鉴定出与糖原、蛋白质和 Asp 含量相关的三个节点 SNP 区域,这可能解释了它们的显著相关性。

结论

总体而言,这项研究深入了解了复杂性状之间的遗传相关性,这将通过分子设计促进未来的牡蛎功能研究和育种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/506d/6670154/d103bde13049/12864_2019_5971_Fig1_HTML.jpg

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