Construction of genotyping-by-sequencing based high-density genetic maps and QTL mapping for fusarium wilt resistance in pigeonpea

Abstract Fusarium wilt (FW) is one of the most important biotic stresses causing yield losses in pigeonpea. Genetic improvement of pigeonpea through genomics-assisted breeding (GAB) is an economically feasible option for the development of high yielding FW resistant genotypes. In this context, two r...

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Autores principales: Rachit K. Saxena, Vikas K. Singh, Sandip M. Kale, Revathi Tathineni, Swathi Parupalli, Vinay Kumar, Vanika Garg, Roma R. Das, Mamta Sharma, K. N. Yamini, S. Muniswamy, Anuradha Ghanta, Abhishek Rathore, C. V. Sameer Kumar, K. B. Saxena, P. B. Kavi Kishor, Rajeev K. Varshney
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Publicado: Nature Portfolio 2017
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spelling oai:doaj.org-article:d966dd92ebdc47869b216f9dcd6c263a2021-12-02T16:08:12ZConstruction of genotyping-by-sequencing based high-density genetic maps and QTL mapping for fusarium wilt resistance in pigeonpea10.1038/s41598-017-01537-22045-2322https://doaj.org/article/d966dd92ebdc47869b216f9dcd6c263a2017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01537-2https://doaj.org/toc/2045-2322Abstract Fusarium wilt (FW) is one of the most important biotic stresses causing yield losses in pigeonpea. Genetic improvement of pigeonpea through genomics-assisted breeding (GAB) is an economically feasible option for the development of high yielding FW resistant genotypes. In this context, two recombinant inbred lines (RILs) (ICPB 2049 × ICPL 99050 designated as PRIL_A and ICPL 20096 × ICPL 332 designated as PRIL_B) and one F2 (ICPL 85063 × ICPL 87119) populations were used for the development of high density genetic maps. Genotyping-by-sequencing (GBS) approach was used to identify and genotype SNPs in three mapping populations. As a result, three high density genetic maps with 964, 1101 and 557 SNPs with an average marker distance of 1.16, 0.84 and 2.60 cM were developed in PRIL_A, PRIL_B and F2, respectively. Based on the multi-location and multi-year phenotypic data of FW resistance a total of 14 quantitative trait loci (QTLs) including six major QTLs explaining >10% phenotypic variance explained (PVE) were identified. Comparative analysis across the populations has revealed three important QTLs (qFW11.1, qFW11.2 and qFW11.3) with upto 56.45% PVE for FW resistance. This is the first report of QTL mapping for FW resistance in pigeonpea and identified genomic region could be utilized in GAB.Rachit K. SaxenaVikas K. SinghSandip M. KaleRevathi TathineniSwathi ParupalliVinay KumarVanika GargRoma R. DasMamta SharmaK. N. YaminiS. MuniswamyAnuradha GhantaAbhishek RathoreC. V. Sameer KumarK. B. SaxenaP. B. Kavi KishorRajeev K. VarshneyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Rachit K. Saxena
Vikas K. Singh
Sandip M. Kale
Revathi Tathineni
Swathi Parupalli
Vinay Kumar
Vanika Garg
Roma R. Das
Mamta Sharma
K. N. Yamini
S. Muniswamy
Anuradha Ghanta
Abhishek Rathore
C. V. Sameer Kumar
K. B. Saxena
P. B. Kavi Kishor
Rajeev K. Varshney
Construction of genotyping-by-sequencing based high-density genetic maps and QTL mapping for fusarium wilt resistance in pigeonpea
description Abstract Fusarium wilt (FW) is one of the most important biotic stresses causing yield losses in pigeonpea. Genetic improvement of pigeonpea through genomics-assisted breeding (GAB) is an economically feasible option for the development of high yielding FW resistant genotypes. In this context, two recombinant inbred lines (RILs) (ICPB 2049 × ICPL 99050 designated as PRIL_A and ICPL 20096 × ICPL 332 designated as PRIL_B) and one F2 (ICPL 85063 × ICPL 87119) populations were used for the development of high density genetic maps. Genotyping-by-sequencing (GBS) approach was used to identify and genotype SNPs in three mapping populations. As a result, three high density genetic maps with 964, 1101 and 557 SNPs with an average marker distance of 1.16, 0.84 and 2.60 cM were developed in PRIL_A, PRIL_B and F2, respectively. Based on the multi-location and multi-year phenotypic data of FW resistance a total of 14 quantitative trait loci (QTLs) including six major QTLs explaining >10% phenotypic variance explained (PVE) were identified. Comparative analysis across the populations has revealed three important QTLs (qFW11.1, qFW11.2 and qFW11.3) with upto 56.45% PVE for FW resistance. This is the first report of QTL mapping for FW resistance in pigeonpea and identified genomic region could be utilized in GAB.
format article
author Rachit K. Saxena
Vikas K. Singh
Sandip M. Kale
Revathi Tathineni
Swathi Parupalli
Vinay Kumar
Vanika Garg
Roma R. Das
Mamta Sharma
K. N. Yamini
S. Muniswamy
Anuradha Ghanta
Abhishek Rathore
C. V. Sameer Kumar
K. B. Saxena
P. B. Kavi Kishor
Rajeev K. Varshney
author_facet Rachit K. Saxena
Vikas K. Singh
Sandip M. Kale
Revathi Tathineni
Swathi Parupalli
Vinay Kumar
Vanika Garg
Roma R. Das
Mamta Sharma
K. N. Yamini
S. Muniswamy
Anuradha Ghanta
Abhishek Rathore
C. V. Sameer Kumar
K. B. Saxena
P. B. Kavi Kishor
Rajeev K. Varshney
author_sort Rachit K. Saxena
title Construction of genotyping-by-sequencing based high-density genetic maps and QTL mapping for fusarium wilt resistance in pigeonpea
title_short Construction of genotyping-by-sequencing based high-density genetic maps and QTL mapping for fusarium wilt resistance in pigeonpea
title_full Construction of genotyping-by-sequencing based high-density genetic maps and QTL mapping for fusarium wilt resistance in pigeonpea
title_fullStr Construction of genotyping-by-sequencing based high-density genetic maps and QTL mapping for fusarium wilt resistance in pigeonpea
title_full_unstemmed Construction of genotyping-by-sequencing based high-density genetic maps and QTL mapping for fusarium wilt resistance in pigeonpea
title_sort construction of genotyping-by-sequencing based high-density genetic maps and qtl mapping for fusarium wilt resistance in pigeonpea
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/d966dd92ebdc47869b216f9dcd6c263a
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