利用Bayes分层广义线性模型剖析大豆籽粒性状的遗传基础

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以溧水中子黄豆(P1)和南农493-1(P2)组合的504个正反交F2:3~F2:7家系群体为材料,调查大豆粒长、粒宽、粒厚、长宽比、长厚比、宽厚比和百粒重性状在2007—2011年的表型观测值,扫描F2群体SSR分子标记信息,用Bayes分层广义线性模型方法检测了上述性状的主效QTL、QTL×环境(QE)互作、QTL×细胞质(QC)互作和QTL×QTL(QQ)互作。共检测到89个主效QTL、33对QE、20对QC和35对QQ互作。上述7个性状的主效QTL分别有7、10、10、19、19、17和7个;QQ互作分别有1、10、6、0、6、9和3对,没有检测到显性×显性互作;QE互作分别有5、7、6、3、6、2和4对;QC互作分别有2、1、3、8、4、2和0对。主效、QQ互作、QC互作和QE互作QTL的总贡献率分别为12.42%~61.79%、0~23.21%、0.35%~1.51%和0~14.16%,表明主效QTL贡献最大,QQ互作次之,QE互作最小。各类QTL都有一因多效现象,同一基因座可通过不同方式影响性状表达。这些结果揭示了大豆粒形性状的遗传基础,为标记辅助育种提供了参考信息。 A total of 504 reciprocal F2: 3 ~ F2: 7 pedigrees from combinations of Lishui neutron soybean (P1) and Nanong 493-1 (P2) were used to investigate the effects of grain length, grain width, grain thickness, aspect ratio , The ratio of length to thickness, ratio of width to thickness, and the value of 100 kernel weight traits in 2007-2011. The SSR markers in F2 population were scanned and the main effect QTL and QTL × Environment (QE) interaction, QTL × cytoplasm (QC) interaction and QTL × QTL (QQ) interaction. A total of 89 major QTLs were detected, 33 pairs of QE, 20 pairs of QC and 35 pairs of QQ interactions. The major trait QTLs for the above seven traits were 7, 10, 10, 19, 19, 17 and 7, respectively; the QQ interactions were 1, 10, 6, 0, 6, 9 and 3 pairs respectively, × dominant interactions; QE interactions have 5, 7, 6, 3, 6, 2 and 4 pairs; QC interactions have 2, 1, 3, 8, 4, 2 and 0 pairs, respectively. The main contribution rates of QTL, QTL interaction, QC interaction and QE interaction were 12.42% ~ 61.79%, 0 ~ 23.21%, 0.35% ~ 1.51% and 0 ~ 14.16% Followed by QQ interaction, QE minimum interaction. All kinds of QTLs have a one-cause and multiple-effect phenomenon, and the same locus can affect the expression of the trait in different ways. These results revealed the genetic basis of soybean grain traits and provided reference information for marker-assisted breeding.
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