BMC Plant BiologyGenomicsPeer-reviewed journal article
Uncovering Superior Alleles and Genetic Loci for Yield-Related Traits in Mungbean (Vigna radiata L. Wilczek) Through Genome-Wide Association Study
Md Shahin Uz ZamaniD, Md Shahin IqbaliD, Mohammad Golam AzamiD, Md. Jahangir AlamiD, M. Asaduzzaman ProdhaniD, Md Sultan MiaiD, W. ErskineiD, A.K.M. Mahbubul Alam, Ramakrishnan Madhavan NairiD
Abstract
Mungbean is an important legume crop in South and Southeast Asia and Australia in terms of area coverage and production. However, productivity remains low due to limited genetic diversity, necessitating the dissection of the genetic basis of quantitatively inherited yield-related traits to develop stable and high-yielding varieties. In the current study, a total of 296 mungbean minicore germplasm accessions from the World Vegetable Centre were evaluated over three years in Bangladesh to assess their genetic diversity and local adaptation. Out of the 296 accessions, 206 produced flowers and yield, showing significant genetic variation in six yield-related traits: days to flowering (DF), days to maturity (DM), plant height (PH), pods per plant (PODS), 100-seed weight (HSW), and seed yield (YLD). Moderate to high broad-sense heritability was exhibited for all phenotypic traits, including DF (72%) and HSW (62%). Genome-wide association study (GWAS) was conducted using the 4,307 high-quality SNPs obtained from the genotyping by sequencing method and found 16 genetic loci across the six mungbean chromosomes associated with the six traits. Further, we selected 21 superior germplasm based on multi-trait stability index including four accessions with a higher number of favorable alleles (10). We also employed genomic prediction models and found a moderate prediction accuracy (>30%) for the HSW and YLD. These results will assist in incorporating important alleles into the elite mungbean germplasm through marker-assisted breeding and/or genomic prediction for improving mungbean yield.
- organism: multiple species
- assay: whole-genome sequencing
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 1
- FWCI
- 3.68
- Field percentile
- top 14%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Population structure and association mapping for hundred seed weight in mungbean minicore
M. Akhtar, Muhammad Mahran Aslam, … Ghulam Murtaza·bioRxiv·May 4, 2021
- The demographic history, genomic variation, and transcontinental genotype-phenotype-environment map of mungbean
Ya‐Ping Lin, Hung‐Wei Chen, … Cheng‐Ruei Lee·bioRxiv·Oct 16, 2025
- Genome Wide Association Studies on 7 Yield-related Traits of 183 Rice Varieties in Bangladesh
Nilanjan Roy, Acramul Haque Kabir, … Md. Shamsuzzoha Bayzid·Plant DirectPeer-reviewed·Jun 1, 2024
- AI-assisted Image-Based Phenotyping Reveals Genetic Architecture of Pod Traits in Mungbean (Vigna radiata L.)
Venkata Naresh Boddepalli, Talukder Zaki Jubery, … Arti Singh·bioRxiv·Nov 6, 2025
- Assessment of Water Stress Tolerance in Mungbean Induced by Polyethyline Glycol
a. elsabagh, M. R. Islam, … M. Erman·bioRxiv·Dec 11, 2019
- An associative transcriptomics study on rice bean (Vigna umbellata) provides new insights into genetic basis and candidate genes governing flowering, maturity and seed weight
Tanmaya Kumar Sahu, Sachin Kumar Verma, … Amit Kumar Singh·bioRxiv·Feb 25, 2023