根瘤菌接种大豆产量相关性状遗传位点及基因发掘
首发时间:2019-04-19
摘要:根瘤固氮是提高大豆产量、减少化肥使用、维持农业可持续发展重要途径。发掘低氮条件下接种根瘤菌的大豆产量相关性状遗传位点和基因,对于提高大豆根瘤固氮能力及赋予非固氮生物以固氮能力至关重要。鉴于此,本研究采用关联与连锁分析方法,在低氮条件下接种根瘤菌对大豆株高、主茎节数、分枝数、单株荚数、单株粒数、单株粒重和百粒重等产量相关性状进行QTL定位与候选基因发掘。关联分析获得59个产量相关性状SNP,分布于10条染色体,连锁分析获得23个产量相关性状加性QTL和13对上位性QTL,其中加性QTL分布于8条染色体,表型贡献率为5.90%~32.87%;关联分析发掘与产量构成因素单株荚数显著关联的SNP 4个、单株粒重2个、百粒重1个,连锁分析发掘控制单株荚数QTL 2个、百粒重2个、单株粒数和单株粒重各3个,其对表型贡献率分别为9.18%~17.42%、7.27%~9.45%、6.31%~20.35%和5.95%~24.60%。进一步分析发现,6号与19号染色体存在与大豆株高、主茎节数等产量相关性状一致性位点,该位点在自然群体和分离群体均可检测到,并在位点附近筛选到23个相关候选基因。
关键词: 大豆 根瘤固氮 关联分析 连锁分析 产量相关性状 QTL
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Mining of genetic loci and related genes with yield related traits under the rhizobia inoculation condition in soybean
Abstract:Symbiotic nitrogen fixation is very important to improve soybean yield, reduce chemical fertilizer utilization and maintain the sustainable agriculture. Thus, mining the genetic loci and related genes with yield related traits under the rhizobia inoculation condition is crucial to improve the ability of nitrogen fixation in soybean and non-nodulating crops. In this study, a soybean natural population and a RIL population were used to analyze QTLs controlling the yield related traits through the genome-wide association study and linkage analysis methods. The related traits including plant height, node number of main stem, branch number, pod number per plant, seed number per plant, seed weight per plant and hundred-seed weight were evaluated under the low nitrogen condition with rhizobia inoculation. The results showed that there were 59 significant associated SNPs obtained which located on 10 chromosomes through the association analysis, and four of them associated with pod number, two with seed weight and one with hundred-seed weight. Meanwhile, 23 additive QTLs with phenotypic variation explained (PVE) of 5.90%~32.87% located on 8 chromosomes and 13 pairs of epistatic QTLs were obtained through the linkage analysis. Among the additive QTLs, two QTLs controlled the pod number, hundred-seed weight with PVE 9.18%~17.42%, 7.27%~9.45%, respectively, and three QTLs controlled seed number and seed weight with PVE 6.31%~20.35%, 5.95%~24.60%, respectively. Further analysis showed that there were some consistent QTLs with plant height and node number on Gm06 and Gm19 which could be detected through these two analysis methods. Finally, 23 candidate genes in these consistent QTL regions were screened out which could be further studied in the future.
Keywords: Soybean Symbiotic nitrogen fixation Association analysis Linkage analysis Yield related traits QTL
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