首页> 外文期刊>Crop & Pasture Science >Genome-wide association mapping and candidate gene analysis for seed shape in soybean (Glycine max)
【24h】

Genome-wide association mapping and candidate gene analysis for seed shape in soybean (Glycine max)

机译:大豆种子形状的基因组关联映射及候选基因分析(甘氨酸)

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Seed shape (SS) of soybean (Glycine max (L.) Merr.) is an important morphological trait that significantly affects the quality of marketable seed. Study of the genetic architecture of SS is important and basic to soybean molecular breeding. In the present study, a natural soybean population of 202 diverse accessions mainly from China was used to analyse the genetic basis of SS via genome-wide association analysis (GWAS), which was based on single-nucleotide polymorphisms (SNP) generated by specific-locus amplified fragment sequencing method. In total, 27335 SNPs were finally identified with minor allele frequencies >5%. By using GWAS, 14 quantitative trait nucleotides (QTNs) were identified to be associated with seed length, 13 with seed width and 21 with seed thickness in four tested environments. Among these QTNs, 21 QTNs overlapped or were located in the linked genomic regions of the reported quantitative trait loci related to SS or seed weight; and the other 27 QTNs were novel loci for SS. Ten QTNs showed environmental stability and were detected under at least two environments. In total, 83 genes were predicted in the 200-kbp flanking region of six stable QTNs that could be detected under >three environments. Gene-based association analysis was performed by using 38 accessions of diverse SS; 778 SNPs were found in the 83 genes based on 38 accessions, and 270 SNPs from 41 genes were found significantly associated with SS. Twenty-eight genes were environmentally stable and/or pleiotropic in controlling two or more SS-related traits at the same time. The identified loci along with the candidate genes could be of great value for studying the molecular mechanisms underlying SS and improving the potential seed yield of soybean.
机译:大豆种子形状(SS)(甘氨酸Max(L.)Merr。)是一种重要的形态特征,显着影响着营销种子的质量。 SS遗传建筑的研究是重要的,对大豆分子育种是重要的。在本研究中,主要来自中国的202种不同的加入的天然大豆人口通过基因组 - 范围的关联分析(GWA)来分析SS的遗传基础,其基于特定 - 的单核苷酸多态性(SNP)基因座扩增片段测序方法。总共鉴定了27335个SNP,用次要等位基因频率> 5%鉴定出来。通过使用GWA,鉴定了14个定量性状核苷酸(QTNS)以与种子长度,13与种子宽度和21相关联,在四个测试环境中具有种子厚度。在这些QTN中,21个QTN与与SS或种子重量相关的报告的定量性状基因座的连接或位于链接的基因组区域中;其他27个QTNS是SS的新型基因座。十个QTN显示环境稳定性,在至少两个环境下被检测到。总共有83个基因在六个稳定QTN的200kbp侧翼区域中预测,可以在>三种环境下检测。基于基于基因的关联分析通过使用38种不同的SS进行;在83个基因中发现了778个SNP,基于38种载体,发现来自41个基因的270个SNPs与SS显着相关。 28个基因在环境稳定和/或脂溢液中同时控制两种或更多种相关的SS相关性状。鉴定的基因座以及候选基因可以具有很大的价值,用于研究底层SS的分子机制和提高大豆的潜在种子产量。

著录项

  • 来源
    《Crop & Pasture Science》 |2019年第8期|共10页
  • 作者单位

    Northeast Agr Univ Key Lab Soybean Biol Chinese Northeastern Key Lab Soybean Biol &

    Genet &

    Breed Minist Agr Minist Educ Harbin 150030 Heilongjiang Peoples R China;

    Northeast Agr Univ Key Lab Soybean Biol Chinese Northeastern Key Lab Soybean Biol &

    Genet &

    Breed Minist Agr Minist Educ Harbin 150030 Heilongjiang Peoples R China;

    Northeast Agr Univ Key Lab Soybean Biol Chinese Northeastern Key Lab Soybean Biol &

    Genet &

    Breed Minist Agr Minist Educ Harbin 150030 Heilongjiang Peoples R China;

    Northeast Agr Univ Key Lab Soybean Biol Chinese Northeastern Key Lab Soybean Biol &

    Genet &

    Breed Minist Agr Minist Educ Harbin 150030 Heilongjiang Peoples R China;

    Harbin Acad Agr Sci Sch Grain &

    Econ Crops Harbin 150028 Heilongjiang Peoples R China;

    Northeast Agr Univ Key Lab Soybean Biol Chinese Northeastern Key Lab Soybean Biol &

    Genet &

    Breed Minist Agr Minist Educ Harbin 150030 Heilongjiang Peoples R China;

    Northeast Agr Univ Key Lab Soybean Biol Chinese Northeastern Key Lab Soybean Biol &

    Genet &

    Breed Minist Agr Minist Educ Harbin 150030 Heilongjiang Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业科学;
  • 关键词

    candidate genes; molecular assisted breeding; SLAF-seq;

    机译:候选基因;分子辅助育种;SLAF-SEQ;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号