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Development and evaluation of high‐density Axiom(®) CicerSNP Array for high‐resolution genetic mapping and breeding applications in chickpea

To accelerate genomics research and molecular breeding applications in chickpea, a high‐throughput SNP genotyping platform ‘Axiom(®) CicerSNP Array’ has been designed, developed and validated. Screening of whole‐genome resequencing data from 429 chickpea lines identified 4.9 million SNPs, from which...

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Autores principales: Roorkiwal, Manish, Jain, Ankit, Kale, Sandip M., Doddamani, Dadakhalandar, Chitikineni, Annapurna, Thudi, Mahendar, Varshney, Rajeev K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5866945/
https://www.ncbi.nlm.nih.gov/pubmed/28913885
http://dx.doi.org/10.1111/pbi.12836
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author Roorkiwal, Manish
Jain, Ankit
Kale, Sandip M.
Doddamani, Dadakhalandar
Chitikineni, Annapurna
Thudi, Mahendar
Varshney, Rajeev K.
author_facet Roorkiwal, Manish
Jain, Ankit
Kale, Sandip M.
Doddamani, Dadakhalandar
Chitikineni, Annapurna
Thudi, Mahendar
Varshney, Rajeev K.
author_sort Roorkiwal, Manish
collection PubMed
description To accelerate genomics research and molecular breeding applications in chickpea, a high‐throughput SNP genotyping platform ‘Axiom(®) CicerSNP Array’ has been designed, developed and validated. Screening of whole‐genome resequencing data from 429 chickpea lines identified 4.9 million SNPs, from which a subset of 70 463 high‐quality nonredundant SNPs was selected using different stringent filter criteria. This was further narrowed down to 61 174 SNPs based on p‐convert score ≥0.3, of which 50 590 SNPs could be tiled on array. Among these tiled SNPs, a total of 11 245 SNPs (22.23%) were from the coding regions of 3673 different genes. The developed Axiom(®) CicerSNP Array was used for genotyping two recombinant inbred line populations, namely ICCRIL03 (ICC 4958 × ICC 1882) and ICCRIL04 (ICC 283 × ICC 8261). Genotyping data reflected high success and polymorphic rate, with 15 140 (29.93%; ICCRIL03) and 20 018 (39.57%; ICCRIL04) polymorphic SNPs. High‐density genetic maps comprising 13 679 SNPs spanning 1033.67 cM and 7769 SNPs spanning 1076.35 cM were developed for ICCRIL03 and ICCRIL04 populations, respectively. QTL analysis using multilocation, multiseason phenotyping data on these RILs identified 70 (ICCRIL03) and 120 (ICCRIL04) main‐effect QTLs on genetic map. Higher precision and potential of this array is expected to advance chickpea genetics and breeding applications.
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spelling pubmed-58669452018-03-27 Development and evaluation of high‐density Axiom(®) CicerSNP Array for high‐resolution genetic mapping and breeding applications in chickpea Roorkiwal, Manish Jain, Ankit Kale, Sandip M. Doddamani, Dadakhalandar Chitikineni, Annapurna Thudi, Mahendar Varshney, Rajeev K. Plant Biotechnol J Research Articles To accelerate genomics research and molecular breeding applications in chickpea, a high‐throughput SNP genotyping platform ‘Axiom(®) CicerSNP Array’ has been designed, developed and validated. Screening of whole‐genome resequencing data from 429 chickpea lines identified 4.9 million SNPs, from which a subset of 70 463 high‐quality nonredundant SNPs was selected using different stringent filter criteria. This was further narrowed down to 61 174 SNPs based on p‐convert score ≥0.3, of which 50 590 SNPs could be tiled on array. Among these tiled SNPs, a total of 11 245 SNPs (22.23%) were from the coding regions of 3673 different genes. The developed Axiom(®) CicerSNP Array was used for genotyping two recombinant inbred line populations, namely ICCRIL03 (ICC 4958 × ICC 1882) and ICCRIL04 (ICC 283 × ICC 8261). Genotyping data reflected high success and polymorphic rate, with 15 140 (29.93%; ICCRIL03) and 20 018 (39.57%; ICCRIL04) polymorphic SNPs. High‐density genetic maps comprising 13 679 SNPs spanning 1033.67 cM and 7769 SNPs spanning 1076.35 cM were developed for ICCRIL03 and ICCRIL04 populations, respectively. QTL analysis using multilocation, multiseason phenotyping data on these RILs identified 70 (ICCRIL03) and 120 (ICCRIL04) main‐effect QTLs on genetic map. Higher precision and potential of this array is expected to advance chickpea genetics and breeding applications. John Wiley and Sons Inc. 2017-10-31 2018-04 /pmc/articles/PMC5866945/ /pubmed/28913885 http://dx.doi.org/10.1111/pbi.12836 Text en © 2017 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Roorkiwal, Manish
Jain, Ankit
Kale, Sandip M.
Doddamani, Dadakhalandar
Chitikineni, Annapurna
Thudi, Mahendar
Varshney, Rajeev K.
Development and evaluation of high‐density Axiom(®) CicerSNP Array for high‐resolution genetic mapping and breeding applications in chickpea
title Development and evaluation of high‐density Axiom(®) CicerSNP Array for high‐resolution genetic mapping and breeding applications in chickpea
title_full Development and evaluation of high‐density Axiom(®) CicerSNP Array for high‐resolution genetic mapping and breeding applications in chickpea
title_fullStr Development and evaluation of high‐density Axiom(®) CicerSNP Array for high‐resolution genetic mapping and breeding applications in chickpea
title_full_unstemmed Development and evaluation of high‐density Axiom(®) CicerSNP Array for high‐resolution genetic mapping and breeding applications in chickpea
title_short Development and evaluation of high‐density Axiom(®) CicerSNP Array for high‐resolution genetic mapping and breeding applications in chickpea
title_sort development and evaluation of high‐density axiom(®) cicersnp array for high‐resolution genetic mapping and breeding applications in chickpea
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5866945/
https://www.ncbi.nlm.nih.gov/pubmed/28913885
http://dx.doi.org/10.1111/pbi.12836
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