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Collaborative Mathematics and Statistics Research pp 91–98Cite as

A Comparison of Multiple Genome-Wide Recombination Maps in Apis mellifera

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS,volume 109)

Abstract

Increasingly, studies demonstrate significant intra-specific variation in genome-wide recombination rates, supporting the notion that local rates of meiotic recombination are evolving. The honey bee, Apis mellifera, exhibits the highest rate of recombination across the genome among multicellular animals. Multiple linkage maps have been constructed and agree on the overall high recombination rate but local rates have not been compared in detail. Here, we compared eight genome-wide recombination maps at different scales to assess how they relate to each other. We found that variation from a 50 to 1,000 kbp scale does not systematically affect the moderate correlations among the recombination maps. Individual chromosomes differed from each other in how much recombination rates were conserved but no apparent relation to chromosome size or average recombination existed. Finally, the overall similarities among maps related more to methodological than to mapping population coalescence. Therefore, recombination maps that were constructed using different methods should be compared with caution and results that are derived from such multiple data sets should prove more robust than analyses of single maps, irrespective of intra-specific variation in recombination rates.

Keywords

  • Window Size
  • Mapping Population
  • Recombination Rate
  • Meiotic Recombination
  • High Recombination Rate

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Acknowledgements

We would like to thank the members of the UNCG Social Insect lab and the Math-Bio working group. The work was funded by the National Science Foundation (grants DMS 0850465 and DBI 0926288) and additionally supported by the National Institutes of Health (NIGMS grant R15GM102753).

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Authors and Affiliations

  1. Department of Computer Sciences, The University of North Carolina at Greensboro, Greensboro, NC, 27402, USA

    Caitlin Ross

  2. Department of Biology, The University of North Carolina at Greensboro, Greensboro, NC, 27402, USA

    Dominick DeFelice

  3. Department of Entomology, Purdue University, West Lafayette, IN, 47907, USA

    Greg Hunt

  4. School of Life Sciences, Arizona State University, Tempe, AZ, 85287, USA

    Kate Ihle

  5. Department of Biology, The University of North Carolina at Greensboro, 312 Eberhart Building, 321 McIver Street, Greensboro, NC, 27402, USA

    Olav Rueppell

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  1. Caitlin Ross
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  2. Dominick DeFelice
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  3. Greg Hunt
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  4. Kate Ihle
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  5. Olav Rueppell
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Corresponding author

Correspondence to Olav Rueppell .

Editor information

Editors and Affiliations

  1. Dept. of Mathematics & Statistics, University of North Carolina Greensboro, Greensboro, North Carolina, USA

    Jan Rychtář

  2. Dept. of Mathematics & Statistics, University of North Carolina Greensboro, Greensboro, North Carolina, USA

    Maya Chhetri

  3. Dept. of Mathematics & Statistics, University of North Carolina Greensboro, Greensboro, North Carolina, USA

    Sat Gupta

  4. Dept. of Mathematics & Statistics, University of North Carolina Greensboro, Greensboro, North Carolina, USA

    Ratnasingham Shivaji

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Ross, C., DeFelice, D., Hunt, G., Ihle, K., Rueppell, O. (2015). A Comparison of Multiple Genome-Wide Recombination Maps in Apis mellifera . In: Rychtář, J., Chhetri, M., Gupta, S., Shivaji, R. (eds) Collaborative Mathematics and Statistics Research. Springer Proceedings in Mathematics & Statistics, vol 109. Springer, Cham. https://doi.org/10.1007/978-3-319-11125-4_10

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