High-resolution linkage map for two honeybee chromosomes: the hotspot quest View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-02

AUTHORS

Florence Mougel, Marie-Anne Poursat, Nicolas Beaume, Dominique Vautrin, Michel Solignac

ABSTRACT

Meiotic recombination is a fundamental process ensuring proper disjunction of homologous chromosomes and allele shuffling in successive generations. In many species, this cellular mechanism occurs heterogeneously along chromosomes and mostly concentrates in tiny fragments called recombination hotspots. Specific DNA motifs have been shown to initiate recombination in these hotspots in mammals, fission yeast and drosophila. The aim of this study was to check whether recombination also occurs in a heterogeneous fashion in the highly recombinogenic honeybee genome and whether this heterogeneity can be connected with specific DNA motifs. We completed a previous picture drawn from a routine genetic map built with an average resolution of 93 kb. We focused on the two smallest honeybee chromosomes to increase the resolution and even zoomed at very high resolution (3.6 kb) on a fragment of 300 kb. Recombination rates measured in these fragments were placed in relation with occurrence of 30 previously described motifs through a Poisson regression model. A selection procedure suitable for correlated variables was applied to keep significant motifs. These fine and ultra-fine mappings show that recombination rate is significantly heterogeneous although poorly contrasted between high and low recombination rate, contrarily to most model species. We show that recombination rate is probably associated with the DNA methylation state. Moreover, three motifs (CGCA, GCCGC and CCAAT) are good candidates of signals promoting recombination. Their influence is however moderate, doubling at most the recombination rate. This discovery extends the way to recombination dissection in insects. More... »

PAGES

11-24

References to SciGraph publications

  • 2010-03. Mammalian recombination hot spots: properties, control and evolution in NATURE REVIEWS GENETICS
  • 2011-04. High recombination rates and hotspots in a Plasmodium falciparum genetic cross in GENOME BIOLOGY
  • 2013-12. Fine-scale mapping of meiotic recombination in Asians in BMC GENETICS
  • 2009-12. Epigenetic regulation of the honey bee transcriptome: unravelling the nature of methylated genes in BMC GENOMICS
  • 2004-07. Evidence for substantial fine-scale variation in recombination rates across the human genome in NATURE GENETICS
  • 2006-10. Insights into social insects from the genome of the honeybee Apis mellifera in NATURE
  • 2009-06. In Silico Prediction of Two Classes of Honeybee Genes with CpG Deficiency or CpG Enrichment and Sorting According to Gene Ontology Classes in JOURNAL OF MOLECULAR EVOLUTION
  • 2008-09. A common sequence motif associated with recombination hot spots and genome instability in humans in NATURE GENETICS
  • 2001-02. Comparison of human genetic and sequence-based physical maps in NATURE
  • 2008-07. High-resolution mapping of meiotic crossovers and non-crossovers in yeast in NATURE
  • 2002-07. A high-resolution recombination map of the human genome in NATURE GENETICS
  • 2010-12. Genetic and Evolutionary Correlates of Fine-Scale Recombination Rate Variation in Drosophila persimilis in JOURNAL OF MOLECULAR EVOLUTION
  • 2011-08. The landscape of recombination in African Americans in NATURE
  • 1994-07. High resolution localization of recombination hot spots using sperm typing in NATURE GENETICS
  • 2007-01. Fine-Scale Crossover Rate Heterogeneity in Drosophila pseudoobscura in JOURNAL OF MOLECULAR EVOLUTION
  • 2010-10-28. Fine-scale recombination rate differences between sexes, populations and individuals in NATURE
  • 2007-04. Variation in genomic recombination rates among animal taxa and the case of social insects in HEREDITY
  • 2002-12. Control of meiotic recombination initiation: a role for the environment? in CURRENT GENETICS
  • 2007-06. A third-generation microsatellite-based linkage map of the honey bee, Apis mellifera, and its comparison with the sequence-based physical map in GENOME BIOLOGY
  • 2013-04. DNA binding specificities of the long zinc-finger recombination protein PRDM9 in GENOME BIOLOGY
  • 2009-07. Estimation of Fine-Scale Recombination Intensity Variation in the white–echinus Interval of D. melanogaster in JOURNAL OF MOLECULAR EVOLUTION
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00438-013-0784-2

    DOI

    http://dx.doi.org/10.1007/s00438-013-0784-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1014430467

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/24162559


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