Dataset Information

Cis-effects on meiotic recombination across distinct a1-sh2 intervals in a common Zea genetic background.

ABSTRACT: Genetic distances across the a1-sh2 interval varied threefold in three near-isogenic stocks that carry structurally distinct teosinte A1 Sh2 haplotypes (from Z. mays spp. mexicana Chalco, Z. mays spp. parviglumis, and Z. luxurians) and a common maize a1::rdt sh2 haplotype. In each haplotype >85% of recombination events resolved in the proximal 10% of the approximately 130-kb a1-sh2 interval. Even so, significant differences in the distributions of recombination breakpoints were observed across subintervals among haplotypes. Each of the three previously detected recombination hot spots was detected in at least one of the three teosinte haplotypes and two of these hot spots were not detected in at least one teosinte haplotype. Moreover, novel hot spots were detected in two teosinte haplotypes. Due to the near-isogenic nature of the three stocks, the observed variation in the distribution of recombination events is the consequence of cis-modifications. Although generally negatively correlated with rates of recombination per megabase, levels of sequence polymorphisms do not fully account for the nonrandom distribution of recombination breakpoints. This study also suggests that estimates of linkage disequilibrium must be interpreted with caution when considering whether a gene has been under selection.

SUBMITTER: Yao H

PROVIDER: S-EPMC1449771 | biostudies-literature | 2005 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Cis-effects on meiotic recombination across distinct a1-sh2 intervals in a common Zea genetic background.

Yao Hong H Schnable Patrick S PS

Genetics 20050603 4

Genetic distances across the a1-sh2 interval varied threefold in three near-isogenic stocks that carry structurally distinct teosinte A1 Sh2 haplotypes (from Z. mays spp. mexicana Chalco, Z. mays spp. parviglumis, and Z. luxurians) and a common maize a1::rdt sh2 haplotype. In each haplotype >85% of recombination events resolved in the proximal 10% of the approximately 130-kb a1-sh2 interval. Even so, significant differences in the distributions of recombination breakpoints were observed across s ...[more]

PMID: 15937141

Similar Datasets

Project description:BackgroundAs a fundamental genomic element, meiotic recombination hotspot plays important roles in life sciences. Thus uncovering its regulatory mechanisms has broad impact on biomedical research. Despite the recent identification of the zinc finger protein PRDM9 and its 13-mer binding motif as major regulators for meiotic recombination hotspots, other regulators remain to be discovered. Existing methods for finding DNA sequence motifs of recombination hotspots often rely on the enrichment of co-localizations between hotspots and short DNA patterns, which ignore the cross-individual variation of recombination rates and sequence polymorphisms in the population. Our objective in this paper is to capture signals encoded in genetic variations for the discovery of recombination-associated DNA motifs.ResultsRecently, an algorithm called "LDsplit" has been designed to detect the association between single nucleotide polymorphisms (SNPs) and proximal meiotic recombination hotspots. The association is measured by the difference of population recombination rates at a hotspot between two alleles of a candidate SNP. Here we present an open source software tool of LDsplit, with integrative data visualization for recombination hotspots and their proximal SNPs. Applying LDsplit on SNPs inside an established 7-mer motif bound by PRDM9 we observed that SNP alleles preserving the original motif tend to have higher recombination rates than the opposite alleles that disrupt the motif. Running on SNP windows around hotspots each containing an occurrence of the 7-mer motif, LDsplit is able to guide the established motif finding algorithm of MEME to recover the 7-mer motif. In contrast, without LDsplit the 7-mer motif could not be identified.ConclusionsLDsplit is a software tool for the discovery of cis-regulatory DNA sequence motifs stimulating meiotic recombination hotspots by screening and narrowing down to hotspot associated SNPs. It is the first computational method that utilizes the genetic variation of recombination hotspots among individuals, opening a new avenue for motif finding. Tested on an established motif and simulated datasets, LDsplit shows promise to discover novel DNA motifs for meiotic recombination hotspots.

Dataset Information

Cis-effects on meiotic recombination across distinct a1-sh2 intervals in a common Zea genetic background.

Publications

Cis-effects on meiotic recombination across distinct a1-sh2 intervals in a common Zea genetic background.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets