Molecular Breeding

, Volume 29, Issue 2, pp 349–360

A survey of natural and ethyl methane sulfonate-induced variations of eIF4E using high-resolution melting analysis in Capsicum

Authors

  • Hee-Jin Jeong
    • Department of Plant Science, Plant Genomics and Breeding Institute, and Research Institute for Agriculture and Life SciencesSeoul National University
  • Jin-Kyung Kwon
    • Department of Plant Science, Plant Genomics and Breeding Institute, and Research Institute for Agriculture and Life SciencesSeoul National University
  • Devendra Pandeya
    • Department of Plant Science, Plant Genomics and Breeding Institute, and Research Institute for Agriculture and Life SciencesSeoul National University
  • JeeNa Hwang
    • Department of Plant Science, Plant Genomics and Breeding Institute, and Research Institute for Agriculture and Life SciencesSeoul National University
  • Ngoc Huy Hoang
    • Department of Plant Science, Plant Genomics and Breeding Institute, and Research Institute for Agriculture and Life SciencesSeoul National University
  • Joong-Hwan Bae
    • Department of Plant Science, Plant Genomics and Breeding Institute, and Research Institute for Agriculture and Life SciencesSeoul National University
    • Department of Plant Science, Plant Genomics and Breeding Institute, and Research Institute for Agriculture and Life SciencesSeoul National University
Article

DOI: 10.1007/s11032-011-9550-5

Cite this article as:
Jeong, H., Kwon, J., Pandeya, D. et al. Mol Breeding (2012) 29: 349. doi:10.1007/s11032-011-9550-5

Abstract

Allele mining is a method used to find undiscovered natural variations or induced mutations in a plant, and has become increasingly important as more genomic information is available in plants. A high-throughput method is required to facilitate the identification of novel alleles in a large number of samples. In this paper we describe the application of a high-resolution melting (HRM) method to detect natural variations and ethyl methane sulfonate (EMS)-induced mutations in Capsicum. We have scanned single polymorphic mutations in the first exon of the eIF4E gene, wherein the mutations confer resistance to potyviruses. Sixteen allelic variations out of 248 germplasm collections were identified using HRM analysis, and one accession carrying an allelic variation (pvrHRM113) was confirmed to be resistant to the TEV-HAT strain. In addition, five single polymorphic mutations in the eIF4E gene were identified in an EMS-induced mutant population. These results demonstrate that HRM allows for the rapid identification of new allelic variants in both natural and artificial mutant populations.

Keywords

Allele miningEMSHRMMutant screeningCapsicum

Supplementary material

11032_2011_9550_MOESM1_ESM.docx (40 kb)
Supplementary material 1 (DOCX 39 kb)
11032_2011_9550_MOESM2_ESM.doc (3.1 mb)
Supplementary material 2 (DOC 3173 kb)

Copyright information

© Springer Science+Business Media B.V. 2011