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- Title
SNP-bin linkage analysis and genome-wide association study of plant height in soybean.
- Authors
Wang, Jiajing; Hu, Bo; Huang, Shanshan; Hu, Xiping; Siyal, Mahfishan; Yang, Chang; Zhao, Hengxing; Yang, Tao; Li, Haoran; Hou, Yongqin; Liu, Cuiqiao; Sun, Xu; Veesar, Raja Rameez; Li, Wen-Xia; Ning, Hailong
- Abstract
As the major source of edible protein and oil, the global demand for soybean (Glycine max (L.) Merr.) is increasing. Plant height is closely related to yield; therefore, understanding the genetic basis of plant height will help to improve soybean plant type and increase seed yield. In this study, quantitative trait loci (QTLs) and nucleotides (QTNs) for soybean plant height were detected by linkage analysis and association analysis. A high-density map containing 2225 bin markers was constructed by using 108 342 SNPs of a recombinant inbred line population (named RIL3613) of 120 lines for linkage analysis. In total, 39 QTLs were detected, including 16 QTLs that were repeatedly detected in multiple environments. Association analysis was performed by using 63 306 SNPs from a germplasm population of 455 natural soybean accessions. In total, 62 QTNs were detected, and 26 QTNs were repeatedly detected by multiple methods. Fourteen QTNs were distributed in the intervals of six multiple-environment QTLs by comparing the results of association analysis and linkage analysis. With pathway analysis, six candidate genes were identified as being associated with plant height. These results contribute to analysis of the genetic basis of plant height and will promote marker-assisted selection for breeding ideal plant shape. Linkage analysis and association analysis are important methods for studying the inheritance of quantitative traits in soybean. Using the RIL3613 population and a germplasm population, we constructed a high-density bin map and identified 16 multi-environment QTLs and 26 multi-method QTNs and six candidate genes for plant height. These results are helpful for analysing the genetic basis of plant height.
- Subjects
GENOME-wide association studies; LOCUS (Genetics); PLANT communities; SELECTION (Plant breeding); QUANTITATIVE genetics
- Publication
Crop & Pasture Science, 2022, Vol 73, Issue 3, p222
- ISSN
1836-0947
- Publication type
Article
- DOI
10.1071/CP21128