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  2018, Vol. 26 Issue (11): 1821-1833    DOI:
Articles and Letters Current Issue | Archive | Adv Search |
Meta and Overview Analysis of QTL Associated with Pod and Seed Traits and Candidate Gene Mining in Soybean (Glycine max)
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Abstract  Seed and pod traits are closely related to seed yield of soybean (Glycine max). The present study used the interval complete interval mapping method (ICIM) to analyze the recombinant inbred line (RIL) population phenotypic data across two-year, and obtained 7 quantitative trait loci (QTL) related to the seed and pod traits. 154 original QTLs related to seed and pod trait of soybean from database and references were analyzed. 23 Meta-QTL intervals were obtained by Meta-analysis. Moreover, the Overview method was used to optimize these QTLs based on statistical analysis. After the Overview analysis, 13 valid QTL regions were obtained, and 5 QTL regions were narrowed down to 0.5 Mb. Furthermore, genetic annotation for the Meta-QTL interval and 687 genes were obtained, and 11 genes were selected as candidate genes. 11 candidate genes participated in the process of plant growth and fruit maturation. The experimental method of this study and results are important for QTL mapping associated with seed and pod traits and assisted molecular breeding of soybeans.
Key wordssoybean      seed and pod traits      meta-analysis      overview analysis      candidate gene     
Received: 22 May 2018      Published: 24 October 2018
Fund:The National Natural Science Foundation of China
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Articles by authors
LI Ying-Ying
LI Rui-Tiao
CHENG Chun-Guang
DIAO Yuan-Yuan
LIU Chun-Yan
ZI Zhao-Meng
LI Can-Dong
YU Nan-Nan
JIANG Hong-Wei
CHEN Qiang-Shan
Cite this article:   
LI Ying-Ying,LI Rui-Tiao,CHENG Chun-Guang, et al. Meta and Overview Analysis of QTL Associated with Pod and Seed Traits and Candidate Gene Mining in Soybean (Glycine max)[J]. , 2018, 26(11): 1821-1833.
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http://journal05.magtech.org.cn/Jwk_ny/EN/     OR     http://journal05.magtech.org.cn/Jwk_ny/EN/Y2018/V26/I11/1821
Copyright © Editorial Board of 农业生物技术学报
Supported by:Beijing Magtech