Construction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.)

Kulwal, P L and Barmukh, R and Soren, K R and Madugula, P and Gangwar, P and Shanmugavadivel, P S and Bharadwaj, C and Konda, A K and Chaturvedi, S K and Bhandari, A and Rajain, K and Singh, N P and Roorkiwal, M and Varshney, R K (2021) Construction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.). PLOS ONE (TSI), 16 (5). pp. 1-18. ISSN 1932-6203

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Abstract

Unravelling the genetic architecture underlying yield components and agronomic traits is important for enhancing crop productivity. Here, a recombinant inbred line (RIL) population, developed from ICC 4958 and DCP 92–3 cross, was used for constructing linkage map and QTL mapping analysis. The RIL population was genotyped using a high-throughput Axiom®- CicerSNP array, which enabled the development of a high-density genetic map consisting of 3,818 SNP markers and spanning a distance of 1064.14 cM. Analysis of phenotyping data for yield, yield components and agronomic traits measured across three years together with genetic mapping data led to the identification of 10 major-effect QTLs and six minoreffect QTLs explaining up to 59.70% phenotypic variance. The major-effect QTLs identified for 100-seed weight, and plant height possessed key genes, such as C3HC4 RING finger protein, pentatricopeptide repeat (PPR) protein, sugar transporter, leucine zipper protein and NADH dehydrogenase, amongst others. The gene ontology studies highlighted the role of these genes in regulating seed weight and plant height in crop plants. The identified genomic regions for yield, yield components, and agronomic traits, and the closely linked markers will help advance genetics research and breeding programs in chickpea.

Item Type:	Article
Divisions:	Global Research Program - Accelerated Crop Improvement
CRP:	CGIAR Research Program on Grain Legumes and Dryland Cereals (GLDC)
Uncontrolled Keywords:	Chickpea, Genetics, Genomics
Subjects:	Mandate crops > Chickpea Others > Genetics and Genomics
Depositing User:	Mr Arun S
Date Deposited:	04 Aug 2021 04:22
Last Modified:	04 Aug 2021 04:22
URI:	http://oar.icrisat.org/id/eprint/11862
Official URL:	https://doi.org/10.1371/journal.pone.0251669
Projects:	UNSPECIFIED
Funders:	Department of Agriculture and Cooperation & Farmers Welfare, Ministry of Agriculture and Farmers Welfare, Government of India, Department of Biotechnology (DBT), Ministry of Science and Technology, Government of India through Indo-Australian
Acknowledgement:	UNSPECIFIED
Links:	Google Scholar

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