42
views
0
recommends
+1 Recommend
1 collections
    0
    shares

      Why publish your research Open Access with G3: Genes|Genomes|Genetics?

      Learn more and submit today!

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A Whole-Chromosome Analysis of Meiotic Recombination in Drosophila melanogaster

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Although traditional genetic assays have characterized the pattern of crossing over across the genome in Drosophila melanogaster, these assays could not precisely define the location of crossovers. Even less is known about the frequency and distribution of noncrossover gene conversion events. To assess the specific number and positions of both meiotic gene conversion and crossover events, we sequenced the genomes of male progeny from females heterozygous for 93,538 X chromosomal single-nucleotide and InDel polymorphisms. From the analysis of the 30 F1 hemizygous X chromosomes, we detected 15 crossover and 5 noncrossover gene conversion events. Taking into account the nonuniform distribution of polymorphism along the chromosome arm, we estimate that most oocytes experience 1 crossover event and 1.6 gene conversion events per X chromosome pair per meiosis. An extrapolation to the entire genome would predict approximately 5 crossover events and 8.6 conversion events per meiosis. Mean gene conversion tract lengths were estimated to be 476 base pairs, yielding a per nucleotide conversion rate of 0.86 × 10 −5 per meiosis. Both of these values are consistent with estimates of conversion frequency and tract length obtained from studies of rosy , the only gene for which gene conversion has been studied extensively in Drosophila. Motif-enrichment analysis revealed a GTGGAAA motif that was enriched near crossovers but not near gene conversions. The low-complexity and frequent occurrence of this motif may in part explain why, in contrast to mammalian systems, no meiotic crossover hotspots have been found in Drosophila.

          Most cited references39

          • Record: found
          • Abstract: found
          • Article: not found

          A high-resolution recombination map of the human genome.

          Determination of recombination rates across the human genome has been constrained by the limited resolution and accuracy of existing genetic maps and the draft genome sequence. We have genotyped 5,136 microsatellite markers for 146 families, with a total of 1,257 meiotic events, to build a high-resolution genetic map meant to: (i) improve the genetic order of polymorphic markers; (ii) improve the precision of estimates of genetic distances; (iii) correct portions of the sequence assembly and SNP map of the human genome; and (iv) build a map of recombination rates. Recombination rates are significantly correlated with both cytogenetic structures (staining intensity of G bands) and sequence (GC content, CpG motifs and poly(A)/poly(T) stretches). Maternal and paternal chromosomes show many differences in locations of recombination maxima. We detected systematic differences in recombination rates between mothers and between gametes from the same mother, suggesting that there is some underlying component determined by both genetic and environmental factors that affects maternal recombination rates.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The fine-scale structure of recombination rate variation in the human genome.

            The nature and scale of recombination rate variation are largely unknown for most species. In humans, pedigree analysis has documented variation at the chromosomal level, and sperm studies have identified specific hotspots in which crossing-over events cluster. To address whether this picture is representative of the genome as a whole, we have developed and validated a method for estimating recombination rates from patterns of genetic variation. From extensive single-nucleotide polymorphism surveys in European and African populations, we find evidence for extreme local rate variation spanning four orders in magnitude, in which 50% of all recombination events take place in less than 10% of the sequence. We demonstrate that recombination hotspots are a ubiquitous feature of the human genome, occurring on average every 200 kilobases or less, but recombination occurs preferentially outside genes.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Fine-scale recombination rate differences between sexes, populations and individuals.

              Meiotic recombinations contribute to genetic diversity by yielding new combinations of alleles. Recently, high-resolution recombination maps were inferred from high-density single-nucleotide polymorphism (SNP) data using linkage disequilibrium (LD) patterns that capture historical recombination events. The use of these maps has been demonstrated by the identification of recombination hotspots and associated motifs, and the discovery that the PRDM9 gene affects the proportion of recombinations occurring at hotspots. However, these maps provide no information about individual or sex differences. Moreover, locus-specific demographic factors like natural selection can bias LD-based estimates of recombination rate. Existing genetic maps based on family data avoid these shortcomings, but their resolution is limited by relatively few meioses and a low density of markers. Here we used genome-wide SNP data from 15,257 parent-offspring pairs to construct the first recombination maps based on directly observed recombinations with a resolution that is effective down to 10 kilobases (kb). Comparing male and female maps reveals that about 15% of hotspots in one sex are specific to that sex. Although male recombinations result in more shuffling of exons within genes, female recombinations generate more new combinations of nearby genes. We discover novel associations between recombination characteristics of individuals and variants in the PRDM9 gene and we identify new recombination hotspots. Comparisons of our maps with two LD-based maps inferred from data of HapMap populations of Utah residents with ancestry from northern and western Europe (CEU) and Yoruba in Ibadan, Nigeria (YRI) reveal population differences previously masked by noise and map differences at regions previously described as targets of natural selection.
                Bookmark

                Author and article information

                Journal
                G3 (Bethesda)
                ggg
                ggg
                ggg
                G3: Genes|Genomes|Genetics
                Genetics Society of America
                2160-1836
                1 February 2012
                February 2012
                : 2
                : 2
                : 249-260
                Affiliations
                [* ]Stowers Institute for Medical Research, Kansas City, MO 64110
                []Department of Biology, Depaul University, Chicago, IL 60604
                []Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045, and
                [§ ]Department of Physiology, Kansas University Medical Center, Kansas City, KS 66160
                Author notes

                Supporting information is available online at http://www.g3journal.org/lookup/suppl/doi:10.1534/g3.111.001396/-/DC1

                Sequence data are available at the SRA database at NCBI as Study SRP009125. http://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?study=SRP009125.

                [1]

                These authors contributed equally to this work.

                [2 ]Corresponding author: Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045. E-mail: jblumens@ 123456ku.edu
                Article
                GGG_001396
                10.1534/g3.111.001396
                3284332
                22384403
                083a16ec-7f1d-4b8c-a854-40d6deb57b8e
                Copyright © 2012 Miller et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution Unported License ( http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 12 October 2011
                : 01 December 2011
                Categories
                Investigations
                Custom metadata
                v1

                Genetics
                double-strand break,genome sequencing,crossing over,meiosis,gene conversion
                Genetics
                double-strand break, genome sequencing, crossing over, meiosis, gene conversion

                Comments

                Comment on this article