Genome wide association analysis for grain micronutrients and anti-nutritional traits in mungbean [Vigna radiata (L.) R. Wilczek] using SNP markers

cg.contactmuraleedhar@iari.res.inen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerThe World Vegetable Center - AVRDCen_US
cg.contributor.centerIndian Council of Agricultural Research - ICARen_US
cg.contributor.centerIndian Council of Agricultural Research, Indian Agricultural Research Institute - ICAR-IARIen_US
cg.contributor.centerIndian Council of Agricultural Research, Indian Institute of Pulses Research - ICAR-IIPRen_US
cg.contributor.centerChaudhary Charan Singh Haryana Agricultural University - CCSHAUen_US
cg.contributor.crpGenetic Innovation - GIen_US
cg.contributor.funderAustralian Center for International Agricultural Research - ACIARen_US
cg.contributor.initiativeAccelerated Breedingen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.creator.idAgrawal, Shiv Kumar: 0000-0001-8407-3562en_US
cg.identifier.doihttps://dx.doi.org/10.3389/fnut.2023.1099004en_US
cg.isijournalISI Journalen_US
cg.issn2296-861Xen_US
cg.journalFrontiers in Nutritionen_US
cg.subject.actionAreaGenetic Innovationen_US
cg.subject.agrovocmicronutrientsen_US
cg.subject.agrovoctanninsen_US
cg.subject.agrovocmung bean (vigna radiata)en_US
cg.subject.impactAreaNutrition, health and food securityen_US
cg.subject.sdgSDG 2 - Zero hungeren_US
dc.contributorAski, Muraleedharen_US
dc.contributorMishra, Gyan Prakashen_US
dc.contributorKumar, M. B. Arunen_US
dc.contributorYadav, Prachien_US
dc.contributorP. Tokas, Jayantien_US
dc.contributorGupta, Sanjeeven_US
dc.contributorPratap, Adityaen_US
dc.contributorAgrawal, Shiv Kumaren_US
dc.contributorNair, Ramakrishnanen_US
dc.contributorSchafleitner, Rolanden_US
dc.contributorDikshit, Harshen_US
dc.creatorKumar Sinha, Mayanken_US
dc.date.accessioned2023-10-31T19:50:42Z
dc.date.available2023-10-31T19:50:42Z
dc.description.abstractMungbean is an important food grain legume for human nutrition and nutritional food due to its nutrient-dense seed, liked palatability, and high digestibility. However, anti-nutritional factors pose a significant risk to improving nutritional quality for bio fortification. In the present study, genetic architecture of grain micronutrients (grain iron and zinc concentration) and anti-nutritional factors (grain phytic acid and tannin content) in association mapping panel of 145 diverse mungbean were evaluated. Based on all four parameters genotypes PUSA 1333 and IPM 02-19 were observed as desired genotypes as they had high grain iron and zinc concentration but low grain phytic acid and tannin content. The next generation sequencing (NGS)-based genotyping by sequencing (GBS) identified 14,447 genome-wide SNPs in a diverse selected panel of 127 mungbean genotypes. Population admixture analysis revealed the presence of four different ancestries among the genotypes and LD decay of ∼57.6 kb kb physical distance was noted in mungbean chromosomes. Association mapping analysis revealed that a total of 20 significant SNPs were shared by both GLM and Blink models associated with grain micronutrient and anti-nutritional factor traits, with Blink model identifying 35 putative SNPs. Further, this study identified the 185 putative candidate genes. Including potential candidate genes Vradi07g30190, Vradi01g09630, and Vradi09g05450 were found to be associated with grain iron concentration, Vradi10g04830 with grain zinc concentration, Vradi08g09870 and Vradi01g11110 with grain phytic acid content and Vradi04g11580 and Vradi06g15090 with grain tannin content. Moreover, two genes Vradi07g15310 and Vradi09g05480 showed significant variation in protein structure between native and mutated versions. The identified SNPs and candidate genes are potential powerful tools to provide the essential information for genetic studies and marker-assisted breeding program for nutritional improvement in mungbean.en_US
dc.formatPDFen_US
dc.identifierhttps://www.frontiersin.org/articles/10.3389/fnut.2023.1099004/full#supplementary-materialen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/48a371387966fe9efed1800c8b8f95e1/v/31be26c091ba4ff34d5e7613fc59dc05en_US
dc.identifier.citationMayank Kumar Sinha, Muraleedhar Aski, Gyan Prakash Mishra, M. B. Arun Kumar, Prachi Yadav, Jayanti P. Tokas, Sanjeev Gupta, Aditya Pratap, Shiv Kumar Agrawal, Ramakrishnan Nair, Roland Schafleitner, Harsh Dikshit. (7/2/2023). Genome wide association analysis for grain micronutrients and anti-nutritional traits in mungbean [Vigna radiata (L. ) R. Wilczek] using SNP markers. Frontiers in Nutrition.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/68753
dc.languageenen_US
dc.publisherFrontiers Mediaen_US
dc.rightsCC-BY-4.0en_US
dc.sourceFrontiers in Nutrition;(2023)en_US
dc.subjectbio-fortificationen_US
dc.subjectmarker trait associationen_US
dc.subjectanti-nutrientsen_US
dc.titleGenome wide association analysis for grain micronutrients and anti-nutritional traits in mungbean [Vigna radiata (L.) R. Wilczek] using SNP markersen_US
dc.typeJournal Articleen_US
dcterms.available2023-02-07en_US
mel.impact-factor5en_US

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