ArticleBMC genomics2013
The Drosophila early ovarian transcriptome provides insight to the molecular causes of recombination rate variation across genomes.
Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 24 citations in OpenAlex.
- Meiotic double-strand DNA breaks and spontaneous mutation in Drosophila melanogaster.G3 (Bethesda, Md.) · 2026Article
- The Role of Transient Crosslinks in the Chromatin Search Response to DNA Damage.International journal of molecular sciences · 2025Article
- A high-resolution crossover landscape in Drosophila santomea reveals rapid and concerted evolution of multiple properties of crossing over control.PLoS genetics · 2025Article
- Ovarian transcriptional response to Wolbachia infection in D. melanogaster in the context of between-genotype variation in gene expression.G3 (Bethesda, Md.) · 2023Article
- Meiotic, genomic and evolutionary properties of crossover distribution in Drosophila yakuba.PLoS genetics · 2022Article
- Seasonal changes in recombination characteristics in a natural population of Drosophila melanogaster.Heredity · 2021Article
- Genomic Analysis of European Drosophila melanogaster Populations Reveals Longitudinal Structure, Continent-Wide Selection, and Previously Unknown DNA Viruses.Molecular biology and evolution · 2020Article
- Ovarian Transcriptomic Analyses in the Urban Human Health Pest, the Western Black Widow Spider.Genes · 2020Article
- Background selection as null hypothesis in population genomics: insights and challenges fromPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Article
- Article
- Transcriptome Analysis ofG3 (Bethesda, Md.) · 2017Article
- Predictive Models of Recombination Rate Variation across the Drosophila melanogaster Genome.Genome biology and evolution · 2016Article
- Article
- The Genetic Architecture of Natural Variation in Recombination Rate in Drosophila melanogaster.PLoS genetics · 2016Article
- Genomic correlates of recombination rate and its variability across eight recombination maps in the western honey bee (Apis mellifera L.).BMC genomics · 2015Article
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2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundEvidence in yeast indicates that gene expression is correlated with recombination activity and double-strand break (DSB) formation in some hotspots. Studies of nucleosome occupancy in yeast and mice also suggest that open chromatin influences the formation of DSBs. In Drosophila melanogaster, high-resolution recombination maps show an excess of DSBs within annotated transcripts relative to intergenic sequences. The impact of active transcription on recombination landscapes, however, remains unexplored in a multicellular organism. We then investigated the transcription profile during early meiosis in D. melanogaster females to obtain a glimpse at the relevant transcriptional dynamics during DSB formation, and test the specific hypothesis that DSBs preferentially target transcriptionally active genomic regions.
resultsOur study of transcript profiles of early- and late-meiosis using mRNA-seq revealed, 1) significant differences in gene expression, 2) new genes and exons, 3) parent-of-origin effects on transcription in early-meiosis stages, and 4) a nonrandom genomic distribution of transcribed genes. Importantly, genomic regions that are more actively transcribed during early meiosis show higher rates of recombination, and we ruled out DSB preference for genic regions that are not transcribed.
conclusionsOur results provide evidence in a multicellular organism that transcription during the initial phases of meiosis increases the likelihood of DSB and give insight into the molecular determinants of recombination rate variation across the D. melanogaster genome. We propose that a model where variation in gene expression plays a role altering the recombination landscape across the genome could provide a molecular, heritable and plastic mechanism to observed patterns of recombination variation, from the high level of intra-specific variation to the known influence of environmental factors and stress conditions.
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