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PMID: 11550885 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Application of denaturing high-performance liquid chromatography for mapping of single nucleotide polymorphisms in barley (Hordeum vulgare L.).

Genome ·Vol. 44 ·No. 4 ·2001-08-00 ·Pages 523-8

Kota R, Wolf M, Michalek W, Graner A

Abstract

Recent advances in DNA sequence analysis and the establishment of high-throughput assays have provided the framework for large-scale discovery and analysis of DNA sequence variation. In this context, single nucleotide polymorphisms (SNPs) are of particular interest. To initiate a systematic approach to develop an SNP map of barley (Hordeum vulgare L.), we have employed denaturing high-performance liquid chromatography (DHPLC) to analyse segregating SNP patterns in a doubled-haploid (DH) mapping population. To this end, SNPs between the parental genotypes were identified using a direct sequencing approach. Once a SNP was established between the parents, the optimal melting temperature of the PCR fragment containing the SNP was predicted for its analysis by DHPLC. Following the detection of the optimal temperature, the DH lines were analysed for the presence of either of the alleles. To test the utility of the analysis, data from previously mapped RFLP markers from which these SNPs were derived were compared. Results from these experiments indicate that DHPLC can be efficiently employed in analysing SNPs on a high-throughput scale.

MeSH Terms
Chromatography, High Pressure Liquid/methods Chromosome Mapping/methods Genes, Plant Haploidy Hordeum/genetics Models, Genetic Polymerase Chain Reaction Polymorphism, Restriction Fragment Length Polymorphism, Single Nucleotide Time Factors
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Kota R
Institut für Pflanzengenetik und Kulturpflanzenforschung , Gatersleben, Germany.
Wolf M
Michalek W
Graner A
Article Info
Journal
Genome
Abbr.
Genome
ISSN
0831-2796
Published
2001-08-00
Pages
523-8
Language
English
Region
Canada
NLM ID
8704544
Subset
IM
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