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全基因组关联研究(GWAS)和加权基因共表达网络分析(WGCNA)揭示大豆油含量相关候选基因

GWAS and WGCNA Analysis Uncover Candidate Genes Associated with Oil Content in Soybean.

作者信息

Zhao Xunchao, Zhang Yan, Wang Jie, Zhao Xue, Li Yongguang, Teng Weili, Han Yingpeng, Zhan Yuhang

机构信息

Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin 150030, China.

出版信息

Plants (Basel). 2024 May 14;13(10):1351. doi: 10.3390/plants13101351.

Abstract

Soybean vegetable oil is an important source of the human diet. However, the analysis of the genetic mechanism leading to changes in soybean oil content is still incomplete. In this study, a total of 227 soybean materials were applied and analyzed by a genome-wide association study (GWAS). There are 44 quantitative trait nucleotides (QTNs) that were identified as associated with oil content. A total of six, four, and 34 significant QTN loci were identified in Xiangyang, Hulan, and Acheng, respectively. Of those, 26 QTNs overlapped with or were near the known oil content quantitative trait locus (QTL), and 18 new QTNs related to oil content were identified. A total of 594 genes were located near the peak single nucleotide polymorphism (SNP) from three tested environments. These candidate genes exhibited significant enrichment in tropane, piperidine, and pyridine alkaloid biosynthesiss (ko00960), ABC transporters (ko02010), photosynthesis-antenna proteins (ko00196), and betalain biosynthesis (ko00965). Combined with the GWAS and weighted gene co-expression network analysis (WGCNA), four candidate genes (, , , and ) that may regulate oil content were identified. In addition, was divided into two main haplotypes in the studied accessions. The oil content of haplotype 1 is significantly lower than that of haplotype 2. Our research findings provide a theoretical basis for improving the regulatory mechanism of soybean oil content.

摘要

大豆植物油是人类饮食的重要来源。然而,导致大豆油含量变化的遗传机制分析仍不完整。在本研究中,共应用了227份大豆材料,并通过全基因组关联研究(GWAS)进行分析。鉴定出44个与油含量相关的数量性状核苷酸(QTN)。在襄阳、呼兰和阿城分别鉴定出6个、4个和34个显著的QTN位点。其中,26个QTN与已知的油含量数量性状基因座(QTL)重叠或靠近,并且鉴定出18个与油含量相关的新QTN。在三个测试环境中,共有594个基因位于峰值单核苷酸多态性(SNP)附近。这些候选基因在托品烷、哌啶和吡啶生物碱生物合成(ko00960)、ABC转运蛋白(ko02010)、光合作用天线蛋白(ko00196)和甜菜碱生物合成(ko00965)中表现出显著富集。结合GWAS和加权基因共表达网络分析(WGCNA),鉴定出四个可能调节油含量的候选基因(、、和)。此外,在所研究的种质中被分为两个主要单倍型。单倍型1的油含量显著低于单倍型2。我们的研究结果为改善大豆油含量的调控机制提供了理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4777/11125034/c423388ed1d0/plants-13-01351-g001.jpg

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