Abstract:

【Objective】 Soybean is a major crop in the world, and the yield is a very important trait. 100-seed weight is a very complicated quantitative trait of yield. The study of gene mapping for yield traits in soybean is very important for application. However, the mapping results of 100-seed weight was dispersive, thus the public map should be chosen which is suitable for the integration of published results, application of the process for improving yield. 【Method】 In this research, an integrated map of 100-seed weight QTL in soybean was established with the soymap2 published in 2004 as a reference map. QTLs of 100-seed weight in soybean were collected in recent 20 years. With the software BioMercator2.1, QTL from their own maps were projected to the reference map. Meta QTL position was concluded by 95% C.I. of original QTLs, the real QTL could be found. 【Result】 From the published papers, 65 QTLs of 100-seed weight were collected and 53 QTLs were integrated, including 17 reductive effect QTLs and 36 additive effect QTLs. Twelve clusters of QTLs were found in the integrated map. A method of meta-analysis was used to narrow down the confidence interval, and 6 additive “consensus” QTLs and 6 reductive “consensus” QTLs and their corresponding markers were obtained respectively. The minimum C.I. was shrunk to 1.52 cM. 【Conclusion】 These results would lay a foundation for marker-assisted selection and mapping QTL precisely, as well as QTL gene cloning in soybean.

Key words: soybean, 100-seed weight, Meta-analysis, consensus QTL, marker assisted selection