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      Genetic Variants in REC8, RNF212, and PRDM9 Influence Male Recombination in Cattle

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          Abstract

          We use >250,000 cross-over events identified in >10,000 bovine sperm cells to perform an extensive characterization of meiotic recombination in male cattle. We map Quantitative Trait Loci (QTL) influencing genome-wide recombination rate, genome-wide hotspot usage, and locus-specific recombination rate. We fine-map three QTL and present strong evidence that genetic variants in REC8 and RNF212 influence genome-wide recombination rate, while genetic variants in PRDM9 influence genome-wide hotspot usage.

          Author Summary

          Homologous recombination is an essential cellular process that determines proper chromosome segregation during meiosis, affects fertility, and influences evolvability. Nevertheless, the components of the recombination apparatus remain incompletely characterized in mammals. One approach to identify such components is to identify the genes that underlie inherited variation in recombination phenotypes. In addition to providing mechanistic insights, this would allow the study of the evolutionary forces that shape the recombination process. In this paper, we take advantage of genotypes for 50,000 genome-wide SNP markers to measure four recombination phenotypes (genome-wide recombination rate, genome-wide hotspot usage, locus-specific recombination rate, genome-wide cross-over interference) for >750 bulls on the basis of >250,000 cross-overs detected in sperm cells transmitted to >10,000 sons. We quantify the heritability and scan the genome for Quantitative Trait Loci (QTL) influencing each one of these recombination phenotypes. We perform a detailed genetic analysis of three such QTL, thereby providing evidence that genetic variants in REC8 and RNF212 influence genome-wide recombination rate, while genetic variants in an X-linked PRDM9 paralogue influence genome-wide hotspot usage.

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          Most cited references34

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          The genome sequence of taurine cattle: a window to ruminant biology and evolution.

          To understand the biology and evolution of ruminants, the cattle genome was sequenced to about sevenfold coverage. The cattle genome contains a minimum of 22,000 genes, with a core set of 14,345 orthologs shared among seven mammalian species of which 1217 are absent or undetected in noneutherian (marsupial or monotreme) genomes. Cattle-specific evolutionary breakpoint regions in chromosomes have a higher density of segmental duplications, enrichment of repetitive elements, and species-specific variations in genes associated with lactation and immune responsiveness. Genes involved in metabolism are generally highly conserved, although five metabolic genes are deleted or extensively diverged from their human orthologs. The cattle genome sequence thus provides a resource for understanding mammalian evolution and accelerating livestock genetic improvement for milk and meat production.
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            Development and Characterization of a High Density SNP Genotyping Assay for Cattle

            The success of genome-wide association (GWA) studies for the detection of sequence variation affecting complex traits in human has spurred interest in the use of large-scale high-density single nucleotide polymorphism (SNP) genotyping for the identification of quantitative trait loci (QTL) and for marker-assisted selection in model and agricultural species. A cost-effective and efficient approach for the development of a custom genotyping assay interrogating 54,001 SNP loci to support GWA applications in cattle is described. A novel algorithm for achieving a compressed inter-marker interval distribution proved remarkably successful, with median interval of 37 kb and maximum predicted gap of <350 kb. The assay was tested on a panel of 576 animals from 21 cattle breeds and six outgroup species and revealed that from 39,765 to 46,492 SNP are polymorphic within individual breeds (average minor allele frequency (MAF) ranging from 0.24 to 0.27). The assay also identified 79 putative copy number variants in cattle. Utility for GWA was demonstrated by localizing known variation for coat color and the presence/absence of horns to their correct genomic locations. The combination of SNP selection and the novel spacing algorithm allows an efficient approach for the development of high-density genotyping platforms in species having full or even moderate quality draft sequence. Aspects of the approach can be exploited in species which lack an available genome sequence. The BovineSNP50 assay described here is commercially available from Illumina and provides a robust platform for mapping disease genes and QTL in cattle.
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              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.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                July 2012
                July 2012
                26 July 2012
                : 8
                : 7
                : e1002854
                Affiliations
                [1]Unit of Animal Genomics, GIGA-R and Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
                The Jackson Laboratory, United States of America
                Author notes

                ¤a: Current address: Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America

                ¤b: Current address: Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America

                Conceived and designed the experiments: CS CC MG. Performed the experiments: CS WL. Analyzed the data: CS CC MG. Contributed reagents/materials/analysis tools: TD WC. Wrote the paper: CS MG.

                Article
                PGENETICS-D-11-02589
                10.1371/journal.pgen.1002854
                3406008
                22844258
                43d0fd94-e79d-44e6-a3c3-9c413bdd266c
                Sandor et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 30 November 2011
                : 7 June 2012
                Page count
                Pages: 13
                Categories
                Research Article
                Biology
                Genetics
                Genomics

                Genetics
                Genetics

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