Evidence map›Paper›PMID 40406059›Full record

ArticleFrontiers in genetics2025

Genetic dissection of yield and yield-related traits in mungbean based on QTL meta-analysis.

Binbin Du, Qifei Wang, Song Gao, Fan Yang, Lei Zhang, Xiao Zhang, Dongao Huo, Jia Wu, Xingen Zhang, Fang Li and 2 more

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Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Binbin Du *College of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an, Anhui, China.
Qifei Wang *Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China.
Song GaoInstitute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China.
Fan YangCollege of Biological Sciences and Technology, Taiyuan Normal University, Taiyuan, Shanxi, China.
Lei ZhangCollege of Biological Sciences and Technology, Taiyuan Normal University, Taiyuan, Shanxi, China.
Xiao ZhangCollege of Biological Sciences and Technology, Taiyuan Normal University, Taiyuan, Shanxi, China.
Dongao HuoCollege of Biological Sciences and Technology, Taiyuan Normal University, Taiyuan, Shanxi, China.
Jia WuCollege of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an, Anhui, China.
Xingen ZhangCollege of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an, Anhui, China.
Fang LiCollege of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an, Anhui, China.
Baowei LuCollege of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an, Anhui, China.
Fengxia AnCollege of Biotechnology and Pharmaceutical Engineering, West Anhui University, Lu'an, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

candidate genemeta-QTLmungbeanQTL meta-analysisyield

Identifiers

PMID40406059
PMCPMC12095261

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.