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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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) |
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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 |
work_keys_str_mv |
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