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High Resolution Melt (HRM) analysis is an efficient tool to genotype EMS mutants in complex crop genomes
BACKGROUND: Targeted Induced Loci Lesions IN Genomes (TILLING) is increasingly being used to generate and identify mutations in target genes of crop genomes. TILLING populations of several thousand lines have been generated in a number of crop species including Brassica rapa. Genetic analysis of mut...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3251530/ https://www.ncbi.nlm.nih.gov/pubmed/22152063 http://dx.doi.org/10.1186/1746-4811-7-43 |
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author | Lochlainn, Seosamh Ó Amoah, Stephen Graham, Neil S Alamer, Khalid Rios, Juan J Kurup, Smita Stoute, Andrew Hammond, John P Østergaard, Lars King, Graham J White, Phillip J Broadley, Martin R |
author_facet | Lochlainn, Seosamh Ó Amoah, Stephen Graham, Neil S Alamer, Khalid Rios, Juan J Kurup, Smita Stoute, Andrew Hammond, John P Østergaard, Lars King, Graham J White, Phillip J Broadley, Martin R |
author_sort | Lochlainn, Seosamh Ó |
collection | PubMed |
description | BACKGROUND: Targeted Induced Loci Lesions IN Genomes (TILLING) is increasingly being used to generate and identify mutations in target genes of crop genomes. TILLING populations of several thousand lines have been generated in a number of crop species including Brassica rapa. Genetic analysis of mutants identified by TILLING requires an efficient, high-throughput and cost effective genotyping method to track the mutations through numerous generations. High resolution melt (HRM) analysis has been used in a number of systems to identify single nucleotide polymorphisms (SNPs) and insertion/deletions (IN/DELs) enabling the genotyping of different types of samples. HRM is ideally suited to high-throughput genotyping of multiple TILLING mutants in complex crop genomes. To date it has been used to identify mutants and genotype single mutations. The aim of this study was to determine if HRM can facilitate downstream analysis of multiple mutant lines identified by TILLING in order to characterise allelic series of EMS induced mutations in target genes across a number of generations in complex crop genomes. RESULTS: We demonstrate that HRM can be used to genotype allelic series of mutations in two genes, BraA.CAX1a and BraA.MET1.a in Brassica rapa. We analysed 12 mutations in BraA.CAX1.a and five in BraA.MET1.a over two generations including a back-cross to the wild-type. Using a commercially available HRM kit and the Lightscanner™ system we were able to detect mutations in heterozygous and homozygous states for both genes. CONCLUSIONS: Using HRM genotyping on TILLING derived mutants, it is possible to generate an allelic series of mutations within multiple target genes rapidly. Lines suitable for phenotypic analysis can be isolated approximately 8-9 months (3 generations) from receiving M(3 )seed of Brassica rapa from the RevGenUK TILLING service. |
format | Online Article Text |
id | pubmed-3251530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32515302012-01-05 High Resolution Melt (HRM) analysis is an efficient tool to genotype EMS mutants in complex crop genomes Lochlainn, Seosamh Ó Amoah, Stephen Graham, Neil S Alamer, Khalid Rios, Juan J Kurup, Smita Stoute, Andrew Hammond, John P Østergaard, Lars King, Graham J White, Phillip J Broadley, Martin R Plant Methods Methodology BACKGROUND: Targeted Induced Loci Lesions IN Genomes (TILLING) is increasingly being used to generate and identify mutations in target genes of crop genomes. TILLING populations of several thousand lines have been generated in a number of crop species including Brassica rapa. Genetic analysis of mutants identified by TILLING requires an efficient, high-throughput and cost effective genotyping method to track the mutations through numerous generations. High resolution melt (HRM) analysis has been used in a number of systems to identify single nucleotide polymorphisms (SNPs) and insertion/deletions (IN/DELs) enabling the genotyping of different types of samples. HRM is ideally suited to high-throughput genotyping of multiple TILLING mutants in complex crop genomes. To date it has been used to identify mutants and genotype single mutations. The aim of this study was to determine if HRM can facilitate downstream analysis of multiple mutant lines identified by TILLING in order to characterise allelic series of EMS induced mutations in target genes across a number of generations in complex crop genomes. RESULTS: We demonstrate that HRM can be used to genotype allelic series of mutations in two genes, BraA.CAX1a and BraA.MET1.a in Brassica rapa. We analysed 12 mutations in BraA.CAX1.a and five in BraA.MET1.a over two generations including a back-cross to the wild-type. Using a commercially available HRM kit and the Lightscanner™ system we were able to detect mutations in heterozygous and homozygous states for both genes. CONCLUSIONS: Using HRM genotyping on TILLING derived mutants, it is possible to generate an allelic series of mutations within multiple target genes rapidly. Lines suitable for phenotypic analysis can be isolated approximately 8-9 months (3 generations) from receiving M(3 )seed of Brassica rapa from the RevGenUK TILLING service. BioMed Central 2011-12-08 /pmc/articles/PMC3251530/ /pubmed/22152063 http://dx.doi.org/10.1186/1746-4811-7-43 Text en Copyright ©2011 Lochlainn et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Lochlainn, Seosamh Ó Amoah, Stephen Graham, Neil S Alamer, Khalid Rios, Juan J Kurup, Smita Stoute, Andrew Hammond, John P Østergaard, Lars King, Graham J White, Phillip J Broadley, Martin R High Resolution Melt (HRM) analysis is an efficient tool to genotype EMS mutants in complex crop genomes |
title | High Resolution Melt (HRM) analysis is an efficient tool to genotype EMS mutants in complex crop genomes |
title_full | High Resolution Melt (HRM) analysis is an efficient tool to genotype EMS mutants in complex crop genomes |
title_fullStr | High Resolution Melt (HRM) analysis is an efficient tool to genotype EMS mutants in complex crop genomes |
title_full_unstemmed | High Resolution Melt (HRM) analysis is an efficient tool to genotype EMS mutants in complex crop genomes |
title_short | High Resolution Melt (HRM) analysis is an efficient tool to genotype EMS mutants in complex crop genomes |
title_sort | high resolution melt (hrm) analysis is an efficient tool to genotype ems mutants in complex crop genomes |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3251530/ https://www.ncbi.nlm.nih.gov/pubmed/22152063 http://dx.doi.org/10.1186/1746-4811-7-43 |
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