利用Bayes分层广义线性模型剖析大豆籽粒性状的遗传基础  

Genetic Basics of Seed Traits in Soybean with Bayes Hierarchical Generalized Linear Model Method

作　　者：闫宁[1] 谢尚潜[1] 耿青春[1] 徐宇[1] 李广军[1] 刘兵[1] 汪霞[1] 李其刚[1] 章元明[1] 

机构地区：[1]南京农业大学/作物遗传与种质创新国家重点实验室,江苏南京210095

出　　处：《作物学报》2013年第2期258-268,共11页Acta Agronomica Sinica

基　　金：国家自然科学基金项目(30971848);教育部新世纪优秀人才支持计划项目(NECT-05-0489);江苏省自然科学基金项目(BK2008335);中央高校基本科研业务费专项资金创新团队项目(KYT201002)资助

摘　　要：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。Seed size and shape traits in soybean play a crucial role in yield and appearance quality. In this study, an experiment was performed to detect main-effect quantitative trait loci （MQTL）, QTL-by-environment （QE）, QTL-by-cytoplasm （QC）, and QTL-by-QTL （QQ） interactions for the soybean seed traits （length, width, thickness, length-to-width, length-to-thickness, width-to-thickness, and 100-seed weight） using Bayes hiearchical generalized linear model approach. Evaluation of these traits for the 504 F2：3–F2：7 familiesfrom the direct and reciprocal crosses of Lishuizhongzihuangdou ′ Nannong 493-1 was carried out in 2007–2011, respectively, and the 504 F2 plants were scanned by 152 SSR markers. As a result, a total of 89 MQTL, 35 QQ interactions, 33 QE interactions and 20 QC interactions were detected. As for the above seven traits, there were respectively 7, 10, 10, 19, 19, 17, and 7 MQTL; 1, 10, 6, 0, 6, 9, and 3 QQ interactions; 5, 7, 6, 3, 6, 2, and 4 QE interactions; and 2, 1, 3, 8, 4, 2, and 0 QC interactions. The total proportion of phenotypic variance explained by the above four types of QTL for each trait is 12.42–61.79%, 0–23.21%, 0.35–1.51%, and 0–14.16%, respectively, indicating that the most important genetic component is MQTL, the second one is epistasis, and the last one is QE interaction. Pleiotropic effects were observed in all kinds of QTL, while various types of QTL shared with one same locus were found to be response for a seed trait as well. These results revealed genetic basis of seed size and shape traits in soybean, and provide reference information for marker assisted breeding.

关 键 词：大豆 籽粒大小和形状 上位性 主效QTL QTL×环境互作 QTL×细胞质互作 Bayes分层广义线性模型 

分 类 号：S565.1[农业科学—作物学]