Du Binbin, Wang Qifei, Gao Song, Yang Fan, Zhang Lei, Zhang Xiao, Huo Dongao, Wu Jia, Zhang Xingen, Li Fang, Lu Baowei, An Fengxia
College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an, Anhui, China.
Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China.
Front Genet. 2025 May 8;16:1600979. doi: 10.3389/fgene.2025.1600979. eCollection 2025.
As an important food crop and nutritional source, mungbean has prioritized yield improvement as a key objective in breeding programs. In present study, we conducted a QTL meta-analysis to integrate 660 QTLs related to yield and yield-related traits in mungbean published over the past 20 years. A total of 590 initial QTLs were mapped onto a high-density consensus map, resulting in the identification of 72 meta-QTLs (MQTLs). These MQTLs were unevenly distributed across 11 linkage groups (LGs) with an average confidence interval (CI) of 1.21 cM, which was 6.26-fold narrower than the average CI of the initial QTLs. Among these 72 MQTLs, 20 were validated in a genome-wide association study (GWAS) for yield and yield-related traits in mungbean. Orthologous MQTL analysis revealed that 22 mungbean MQTLs were collinear with 19 MQTLs in common bean for yield and yield-related traits. In addition, 20 breeder's MQTLs were screened from the 72 MQTLs, and 339 gene models were identified within the breeder's MQTL regions. Twenty-two mungbean orthologs of yield-related genes such as seed germination, tiller number, and plant height in rice and were identified in the breeder's MQTL regions using homology analysis. This study contributes to understanding the genetic mechanisms for yield and yield-related traits and provides new ideas for the genetic improvement and breeding of mungbean.
作为一种重要的粮食作物和营养来源，绿豆在育种计划中已将提高产量作为关键目标。在本研究中，我们进行了QTL元分析，以整合过去20年发表的与绿豆产量及产量相关性状有关的660个QTL。总共590个初始QTL被定位到一张高密度共识图谱上，从而鉴定出72个元QTL（MQTL）。这些MQTL不均匀地分布在11个连锁群（LG）上，平均置信区间（CI）为1.21 cM，比初始QTL的平均CI窄6.26倍。在这72个MQTL中，有20个在绿豆产量及产量相关性状的全基因组关联研究（GWAS）中得到验证。直系同源MQTL分析表明，22个绿豆MQTL与菜豆中19个与产量及产量相关性状的MQTL共线。此外，从72个MQTL中筛选出20个育种者MQTL，并在育种者MQTL区域内鉴定出339个基因模型。利用同源性分析，在育种者MQTL区域鉴定出22个与水稻种子萌发、分蘖数和株高等产量相关基因的绿豆直系同源基因。本研究有助于理解产量及产量相关性状的遗传机制，并为绿豆的遗传改良和育种提供新思路。
