中国农业科学

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最新录用:大豆地方种质资源鲜籽粒可溶性糖含量的全基因组关联分析

张玉梅1,丁文涛2,蓝新隆1,李清华3,胡润芳1,郭娜2,林国强1*赵晋铭2*
  

  1. 1福建省农业科学院作物研究所/福建省特色旱作物品种选育工程技术研究中心/福建省蔬菜遗传育种重点实验室,福州 3500132南京农业大学农学院/农业农村部国家大豆改良中心/农业农村部大豆生物学与遗传育种重点实验室/作物遗传与种质创新国家重点实验室,南京 2100953莆田市农业科学研究所,福建福田 351106
  • 出版日期:2023-05-17 发布日期:2023-05-17

Genome wide association analysis of soluble sugar content in fresh seeds of soybean landraces

ZHANG YuMei1, DING WenTao2, LAN XinLong1, LI QingHua3, HU RunFang1, GUO Na2, LIN GuoQiang1, ZHAO JinMing2   

  1. 1Crop Research Institute, Fujian Academy of Agricultural Sciences/Engineering Research Center for Characteristic Dry Crop Varieties Breeding/Fujian Key Laboratory of Vegetable Genetics and Breeding, Fuzhou, 350013; 2College of Agriculture, Nanjing Agricultural University/National Center for Soybean Improvement, Ministry of Agriculture and Rural Affairs/Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture and Rural Affairs/State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing 210095; 3Putian Agricultural Sciences Research Institute, Putian 351106, Fujian
  • Published:2023-05-17 Online:2023-05-17

摘要: 【目的】可溶性糖含量是鲜食大豆重要的品质性状之一,研究大豆鲜籽粒可溶性糖含量的遗传变异,深入解析可溶性糖含量的遗传机制,为鲜食大豆种质创新及品质育种提供依据【方法】利用来自东北大豆生态区、北方大豆生态区、黄淮海大豆生态区以及南方大豆生态区的133份大豆地方种质,在2021年连江春季、福清春季和秋季这3个环境下对鲜籽粒可溶性糖含量进行表型测定,结合82 187个高质量SNP标记,基于混合线性模型MLMQ+K对可溶性糖含量进行全基因组关联分析,挖掘可溶性糖含量显著相关的SNP位点以显著SNP位点为中心,两端各扩展119.07 kb连锁不平衡衰减距离为候选区间,根据候选区间内基因的注释及组织表达信息初步预测候选基因。【结果】3个环境下鲜籽粒可溶性糖含量的变异范围为3.37—33.84 mg·g-1,遗传变异系数为24.59%—32.69%,可溶性糖含量遗传率为68.14%。通过全基因组关联分析,连江春季、福清春季和秋季这3个环境下分别检测到与鲜籽粒可溶性糖含量显著关联的SNP6822个,表型变异解释率12.43%—29.27%以表型变异解释率较高的9个显著SNP位点所在的候选区间进行搜索共获得86个基因,结合基因注释和组织表达信息进一步筛选到9候选基因,这些候选基因主要涉及转录因子、糖蛋白家族以及糖类合成转运等生物学过程。其中Glyma.01g016500Glyma.13g042100Glyma.16g131800Glyma.16g155300在大豆种子及荚中表达水平较高,可作为大豆鲜籽粒可溶性糖的最具潜力候选基因【结论】通过全基因组关联分析,检测到36个与鲜籽粒可溶性糖含量显著关联的SNP进一步筛选出9个候选基因可能参与大豆鲜籽粒可溶性糖含量的调控其中Glyma.01g016500Glyma.13g042100Glyma.16g131800Glyma.16g155300可作为调控大豆鲜籽粒可溶性糖含量关键目标基因


关键词: 大豆, 鲜籽粒, 可溶性糖含量, 全基因组关联分析, SNP

Abstract: 【ObjectiveSoluble sugar content is one of the important quality traits of vegetable soybean. The genetic variation and genetic mechanism of soluble sugar content in fresh soybean seeds were studied to provide a basis for germplasm innovation and quality breeding of vegetable soybean. MethodUsing 133 soybean landraces from the Northeast region, the North region, the Huanghuaihai region and the South region, the soluble sugar content of fresh seeds was determined in the three environments of Lianjiang in spring, Fuqing in spring and autumn, in 2021. In combination with 82 187 high-quality SNP markers, the whole genome association analysis of soluble sugar content was conducted based on the mixed linear model MLM (Q+K), and the SNP loci with significantly related to soluble sugar content were identified. The candidate intervals were selected by the significant SNP loci and the extension of 119.07 kb linkage disequilibrium decay distance at both ends. The candidate genes were predicted according to the annotation and tissue expression information of the genes in the candidate intervals. ResultThe variation range of soluble sugar content in fresh seeds under three environments was 3.37-33.84 mg·g-1, the genetic variation coefficient was 24.59%-32.69%, and the heritability of soluble sugar content was 68.14%. Six, eight and 22 SNPs were significantly associated with the soluble sugar content of fresh seeds were detected in Lianjiang in spring, Fuqing in spring and autumn, respectively, and phenotypic variation was 12.43%-29.27%. A total of 86 genes were obtained in the candidate regions of 9 significant SNP loci with higher interpretation rate of phenotypic variation, and 9 candidate genes were further screened by gene annotation and tissue expression information. These candidate genes are mainly involved in biological processes such as transcription factors, glycoprotein families and carbohydrate synthesis and transport. Among them, Glyma.01g016500, Glyma.13g042100, Glyma.16g131800 and Glyma.16g155300 were more highly expressed in soybean seeds and pods, which can be used as the most potential candidate genes for soluble sugar in fresh soybean seeds.ConclusionThrough genome-wide association analysis, 36 SNPs significantly associated with soluble sugar content in fresh seeds were detected, and 9 candidate genes were further screened out, which may be involved in the regulation of soluble sugar content in fresh soybean seeds. Among them, Glyma.01g016500, Glyma.13g042100, Glyma.16g131800 and Glyma.16g155300 can be the key candidate genes for regulating soluble sugar content in fresh soybean seeds.


Key words: soybean, fresh seeds, soluble sugar contents, genome wide association analysis, SNP