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High-resolution SNP mapping by denaturing HPLC.

ABSTRACT: With the availability of complete genome sequences, new rapid and reliable strategies for positional cloning become possible. Single-nucleotide polymorphisms (SNPs) permit the mapping of mutations at a resolution not amenable to classical genetics. Here we describe a SNP mapping procedure that relies on resolving polymorphisms by denaturing HPLC without the necessity of determining the nature of the SNPs. With the example of mapping mutations to the Drosophila nicastrin locus, we discuss the benefits of this method, evaluate the frequency of closely linked and potentially misleading second site mutations, and demonstrate the use of denaturing high-performance liquid chromatography to identify mutations in the candidate genes and to fine-map chromosomal breakpoints. Furthermore, we show that recombination events are not uniformly dispersed over the investigated region but rather occur at hot spots.

SUBMITTER: Nairz K

PROVIDER: S-EPMC124979 | biostudies-literature | 2002 Aug

REPOSITORIES: biostudies-literature

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High-resolution SNP mapping by denaturing HPLC.

Nairz Knud K Stocker Hugo H Schindelholz Benno B Hafen Ernst E

Proceedings of the National Academy of Sciences of the United States of America 20020729 16

With the availability of complete genome sequences, new rapid and reliable strategies for positional cloning become possible. Single-nucleotide polymorphisms (SNPs) permit the mapping of mutations at a resolution not amenable to classical genetics. Here we describe a SNP mapping procedure that relies on resolving polymorphisms by denaturing HPLC without the necessity of determining the nature of the SNPs. With the example of mapping mutations to the Drosophila nicastrin locus, we discuss the ben ...[more]

PMID: 12149455

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Project description:BACKGROUND:Heat stress is one of the major abiotic threats to rice production, next to drought and salinity stress. Incidence of heat stress at reproductive phase of the crop results in abnormal pollination leading to floret sterility, low seed set and poor grain quality. Identification of QTLs and causal genes for heat stress tolerance at flowering will facilitate breeding for improved heat tolerance in rice. In the present study, we used 272 F8 recombinant inbred lines derived from a cross between Nagina22, a well-known heat tolerant Aus cultivar and IR64, a heat sensitive popular Indica rice variety to map the QTLs for heat tolerance. RESULTS:To enable precise phenotyping for heat stress tolerance, we used a controlled phenotyping facility available at ICAR-Indian Institute of Wheat and Barley Research, Karnal, India. Based on 'days to 50% flowering' data of the RILs, we followed staggered sowing to synchronize flowering to impose heat stress at uniform stage. Using the Illumina infinium 5K SNP array for genotyping the parents and the RILs, and stress susceptibility and stress tolerance indices (SSI and STI) of percent spikelet sterility and yield per plant (g), we identified five QTLs on chromosomes 3, 5, 9 and 12. The identified QTLs explained phenotypic variation in the range of 6.27 to 21. 29%. Of these five QTLs, two high effect QTLs, one novel (qSTIPSS9.1) and one known (qSTIY5.1/qSSIY5.2), were mapped in less than 400 Kbp genomic regions, comprising of 65 and 54 genes, respectively. CONCLUSIONS:The present study identified two major QTLs for heat tolerance in rice in narrow physical intervals, which can be employed for crop improvement by marker assisted selection (MAS) after development of suitable scorable markers for breeding of high yielding heat tolerant rice varieties. This is the first report of a major QTL for heat tolerance on chromosome 9 of rice. Further, a known QTL for heat tolerance on chromosome 5 was narrowed down from 23 Mb to 331 Kbp in this study.

Dataset Information

High-resolution SNP mapping by denaturing HPLC.

Publications

High-resolution SNP mapping by denaturing HPLC.

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