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 M3 seed of Brassica rapa from the RevGenUK TILLING service.
Journal article
High resolution melt (HRM) analysis is an efficient tool to genotype EMS mutants in complex crop genomes
Plant Methods, Vol.7(1)
2011
High resolution melt (HRM) analysis is an efficient tool to genotype EMS mutants in complex crop genomes
Published (Version of record)Attribution 2.0 Generic (CC BY 2.0), Open
Metrics
71 Record Views
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Abstract
Details
- Title
- High resolution melt (HRM) analysis is an efficient tool to genotype EMS mutants in complex crop genomes
- Creators
- Seosamh O Lochlainn - University of NottinghamStephen Amoah - Rothamsted ResearchNeil S Graham - University of NottinghamKhalid Alamer - University of NottinghamJuan J Rios - University of NottinghamSmita Kurup - Rothamsted ResearchAndrew Stoute - Rothamsted ResearchJohn P Hammond - University of NottinghamLars Ostergaard - Department of Crop Genetics, John Innes CentreGraham J King - Southern Cross UniversityPhillip J White - The James Hutton InstituteMartin R Broadley - University of Nottingham
- Publication Details
- Plant Methods, Vol.7(1)
- Identifiers
- 1593; 991012821756302368
- Academic Unit
- Faculty of Science and Engineering; Southern Cross Plant Science; Science
- Resource Type
- Journal article