ORIGINAL ARTICLE
Genetic analysis and map-based delimitation of a major locus qSS3 for seed size in soybean
Baofeng Cui,
Lei Chen,
Yongqing Yang,
Hong Liao,
Baofeng Cui
Root Biology Center, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, China
Search for more papers by this authorLei Chen
School of Life Sciences, Yantai University, Yantai, China
Search for more papers by this authorCorresponding Author
Yongqing Yang
Root Biology Center, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, China
Correspondence
Yongqing Yang, Root Biology Center, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, China.
Email: yyq287346@163.com
Search for more papers by this authorHong Liao
Root Biology Center, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, China
Search for more papers by this authorBaofeng Cui,
Lei Chen,
Yongqing Yang,
Hong Liao,
Baofeng Cui
Root Biology Center, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, China
Search for more papers by this authorLei Chen
School of Life Sciences, Yantai University, Yantai, China
Search for more papers by this authorCorresponding Author
Yongqing Yang
Root Biology Center, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, China
Correspondence
Yongqing Yang, Root Biology Center, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, China.
Email: yyq287346@163.com
Search for more papers by this authorHong Liao
Root Biology Center, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, China
Search for more papers by this authorAbstract
Seed size is a major determinant of grain yield in soybean, however their genetic basis remains largely unknown. In order to delimit map-based position of a major locus qSS3, we evaluated three mapping populations, including RILs, NILs and a sub-F2 in three environments for six seed size-related traits. For these traits, the kurtosis and skewness ranged between 0.0 and 1.16, while h2b ranged from 0.75 to 0.96, indicating that this RIL population is suitable for QTL analysis. QTL analysis identified 12 loci which consist of 30 significant QTLs with PVE% and LOD values of 6.6%–26.2% and 2.50–5.61, respectively. Among them, qSS3 was a major and stable locus explaining 7.3%–26.2% of the variation in 5 of the 6 traits, with the respective LOD values falling in the range of 2.72–5.61. Additionally, qSS3 effects were confirmed in NILs and delimited to an interval of ~1,126 kb containing 123 annotated genes. Overall, this study may assist efforts aiming to improve soybean seed traits by identifying valuable genetic resources which can be used in future MAS breeding programmes.
CONFLICT OF INTEREST
On behalf of all authors, the corresponding author states that there is no conflict of interest.
Supporting Information
| Filename | Description |
|---|---|
| pbr12853-sup-0001-FigS1-S3.pptxapplication/ms-powerpoint, 506.3 KB | Fig S1-S3 |
| pbr12853-sup-0002-TableS1-S3.docxWord document, 23.3 KB | Table S1-S3 |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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