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

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 po...

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Autores principales:	Rutwik Barmukh, Khela Ram Soren, Praveen Madugula, Priyanka Gangwar, P S Shanmugavadivel, Chellapilla Bharadwaj, Aravind K Konda, Sushil K Chaturvedi, Aditi Bhandari, Kritika Rajain, Narendra Pratap Singh, Manish Roorkiwal, Rajeev K Varshney
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/43d129f086944c7c9a460d74c2d4598b
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spelling	oai:doaj.org-article:43d129f086944c7c9a460d74c2d4598b2021-11-25T06:19:13ZConstruction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.).1932-620310.1371/journal.pone.0251669https://doaj.org/article/43d129f086944c7c9a460d74c2d4598b2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251669https://doaj.org/toc/1932-6203Unravelling 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 minor-effect 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.Rutwik BarmukhKhela Ram SorenPraveen MadugulaPriyanka GangwarP S ShanmugavadivelChellapilla BharadwajAravind K KondaSushil K ChaturvediAditi BhandariKritika RajainNarendra Pratap SinghManish RoorkiwalRajeev K VarshneyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0251669 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rutwik Barmukh Khela Ram Soren Praveen Madugula Priyanka Gangwar P S Shanmugavadivel Chellapilla Bharadwaj Aravind K Konda Sushil K Chaturvedi Aditi Bhandari Kritika Rajain Narendra Pratap Singh Manish Roorkiwal Rajeev K Varshney Construction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.).
description	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 minor-effect 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.
format	article
author	Rutwik Barmukh Khela Ram Soren Praveen Madugula Priyanka Gangwar P S Shanmugavadivel Chellapilla Bharadwaj Aravind K Konda Sushil K Chaturvedi Aditi Bhandari Kritika Rajain Narendra Pratap Singh Manish Roorkiwal Rajeev K Varshney
author_facet	Rutwik Barmukh Khela Ram Soren Praveen Madugula Priyanka Gangwar P S Shanmugavadivel Chellapilla Bharadwaj Aravind K Konda Sushil K Chaturvedi Aditi Bhandari Kritika Rajain Narendra Pratap Singh Manish Roorkiwal Rajeev K Varshney
author_sort	Rutwik Barmukh
title	Construction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.).
title_short	Construction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.).
title_full	Construction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.).
title_fullStr	Construction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.).
title_full_unstemmed	Construction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.).
title_sort	construction of a high-density genetic map and qtl analysis for yield, yield components and agronomic traits in chickpea (cicer arietinum l.).
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/43d129f086944c7c9a460d74c2d4598b
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Construction of a high-density genetic map and QTL analysis for yield, yield components and agronomic traits in chickpea (Cicer arietinum L.).

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