ArticleGenome biology2015
Causes and consequences of crossing-over evidenced via a high-resolution recombinational landscape of the honey bee.
Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Multi-Genome-Wide association studies provide new insights into the genetic architecture of Varroa resistance in honeybees.BMC genomics · 2025Article
- Unexpectedly low recombination rates and presence of hotspots in termite genomes.Genome research · 2025Article
- Inferring Long-Term and Short-Term Determinants of Genetic Diversity in Honey Bees: Beekeeping Impact and Conservation Strategies.Molecular biology and evolution · 2024Article
- Causes and consequences of a complex recombinational landscape in the antGenome research · 2024Article
- The black honey bee genome: insights on specific structural elements and a first step towards pangenomes.Genetics, selection, evolution : GSE · 2024Article
- When One's Not Enough: Colony Pool-Seq Outperforms Individual-Based Methods for Assessing Introgression inInsects · 2023Article
- AmelHap: Leveraging drone whole-genome sequence data to create a honey bee HapMap.Scientific data · 2023Article
- Predicting recombination frequency from map distance.Heredity · 2023Article
- Complex population structure and haplotype patterns in the Western European honey bee from sequencing a large panel of haploid drones.Molecular ecology resources · 2022Article
- Reconstructing queen genotypes by pool sequencing colonies in eusocial insects: Statistical Methods and their application to honeybee.Molecular ecology resources · 2022Article
- The megabase-scale crossover landscape is largely independent of sequence divergence.Nature communications · 2022Article
- inGAP-family: Accurate Detection of Meiotic Recombination Loci and Causal Mutations by Filtering Out Artificial Variants due to Genome Complexities.Genomics, proteomics & bioinformatics · 2022Article
- Haploid and Sexual Selection Shape the Rate of Evolution of Genes across the Honey Bee (Apis mellifera L.) Genome.Genome biology and evolution · 2022Article
- Recombination mapping of the Brazilian stingless bee Frieseomelitta varia confirms high recombination rates in social hymenoptera.BMC genomics · 2021Article
- Adaptive, caste-specific changes to recombination rates in a thelytokous honeybee population.Proceedings. Biological sciences · 2021Article
- qPCR assays with dual-labeled probes for genotyping honey bee variants associated with varroa resistance.BMC veterinary research · 2021Article
- Digging into the Genomic Past of Swiss Honey Bees by Whole-Genome Sequencing Museum Specimens.Genome biology and evolution · 2020Article
- From molecules to populations: appreciating and estimating recombination rate variation.Nature reviews. Genetics · 2020Review
- Defense Response in Brazilian Honey Bees (Apis mellifera scutellata × spp.) Is Underpinned by Complex Patterns of Admixture.Genome biology and evolution · 2020Article
- An Alternative, High Throughput Method to IdentifyInsects · 2020Article
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7 authors.
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Abstract
backgroundSocial hymenoptera, the honey bee (Apis mellifera) in particular, have ultra-high crossover rates and a large degree of intra-genomic variation in crossover rates. Aligned with haploid genomics of males, this makes them a potential model for examining the causes and consequences of crossing over. To address why social insects have such high crossing-over rates and the consequences of this, we constructed a high-resolution recombination atlas by sequencing 55 individuals from three colonies with an average marker density of 314 bp/marker.
resultsWe find crossing over to be especially high in proximity to genes upregulated in worker brains, but see no evidence for a coupling with immune-related functioning. We detect only a low rate of non-crossover gene conversion, contrary to current evidence. This is in striking contrast to the ultrahigh crossing-over rate, almost double that previously estimated from lower resolution data. We robustly recover the predicted intragenomic correlations between crossing over and both population level diversity and GC content, which could be best explained as indirect and direct consequences of crossing over, respectively.
conclusionsOur data are consistent with the view that diversification of worker behavior, but not immune function, is a driver of the high crossing-over rate in bees. While we see both high diversity and high GC content associated with high crossing-over rates, our estimate of the low non-crossover rate demonstrates that high non-crossover rates are not a necessary consequence of high recombination rates.
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