Evidence map›Paper›PMID 35106687›Full record

ArticleMolecular biology reports2022

GWAS to spot candidate genes associated with grain quality traits in diverse rice accessions of North East India.

Rahul K Verma, S K Chetia, Vinay Sharma, Samindra Baishya, Himanshu Sharma, M K Modi

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Article in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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13citing papers in PubMed
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13 citing papers in PubMed.

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  8. Identification of significant SNPs and candidate loci for blast disease resistance via GWAS and population structure analysis in ARC panel ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024
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5 · Who and what money

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6 authors.

Rahul K VermaDBT-North East Centre for Agricultural Biotechnology, Jorhat, Assam, 785013, India.
S K ChetiaRegional Agricultural Research Station, Titabar, Assam, 785630, India.
Vinay SharmaDepartment of Agricultural Biotechnology, Assam Agricultural University, Jorhat, Assam, 785013, India.
Samindra BaishyaDepartment of Biochemistry & Agricultural Chemistry, Assam Agricultural University, Jorhat, Assam, 785013, India.
Himanshu SharmaAgri-Food Biotechnology Division, National Agri-Food Biotechnology Institute, Mohali, Punjab, 140306, India.
M K ModiDepartment of Agricultural Biotechnology, Assam Agricultural University, Jorhat, Assam, 785013, India. mkmodi@aau.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNorth East (NE) India is the second centre for the origin of rice and is enriched with a diverse collection of traditional rice accessions. These genotypes possess unique traits of breeding interest and are rich in grain nutritional and cooking qualities. Therefore, quantitative trait loci (QTLs)/genes associated with the various quality traits may be identified through genome-wide association studies (GWAS) and used in crop improvement programmes. METHODS AND

resultsA pool of 526 unique rice accessions from Assam, North East (NE) India were characterized by using 9 grain-quality traits and grouped into 16 clusters. Among these, the highest number of 156 (29.65%) genotypes belongs to diverse phenotypic classes; Sali, Lahi, and Chokuwa were grouped into cluster 6. The first three principal components showed 54.76% of morphological variability with Eigenvalue >1. Genome-wide association studies (GWAS) was performed in 103 rice accessions using 42,446 SNP markers. A total of 11 significant marker-trait associations were detected for 5 grain-quality traits, explaining 0.22-8.86% of phenotypic variation (PV). In-silico mining of QTLs detected 'candidate genes' associated with the quality traits.

conclusionsThe phenotypic diversity among the 526 rice accessions of NE India was studied using grain quality traits and grouped into 16 significantly different clusters. The QTLs, or candidate genes identified for various grain quality traits, may be used in breeding programmes for the development of improved rice varieties.

Indexed as

Genome-Wide Association StudyOryzaEdible GrainPhenotypePlant BreedingQuantitative Trait LociCandidate genesGrain quality traitsMarker-trait associationsRice

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