Recombination is a process by which chromosomes exchange genetic material during meiosis. It is important in evolution because it provides offspring with new combinations of genes, and so estimating the rate of recombination is of fundamental importance in various population genomic inference problems. In this paper, we develop a new statistical method to enable robust estimation of fine-scale recombination maps of Drosophila, a genus of common fruit flies, in which the background recombination rate is high and natural selection has been prevalent. We apply our method to produce fine-scale recombination maps for a North American population and an African population of D. melanogaster. For both populations, we find extensive fine-scale variation in recombination rate throughout the genome. We provide a quantitative characterization of the similarities and differences between the recombination maps of the two populations; our study reveals high correlation at broad scales and low correlation at fine scales, as has been documented among human populations. We also examine the correlation between various genomic features. Furthermore, using a conservative approach, we find a handful of putative recombination “hotspot” regions with solid statistical support for a local elevation of at least 10 times the background recombination rate.
%0 Journal Article
%1 chan2012genomewide
%A Chan, Andrew H.
%A Jenkins, Paul A.
%A Song, Yun S.
%D 2012
%I Public Library of Science
%J PLoS Genet
%K LD LD_hat methods recombination wavelet_transform
%N 12
%P e1003090
%R 10.1371/journal.pgen.1003090
%T Genome-Wide Fine-Scale Recombination Rate Variation in Drosophila melanogaster
%U http://dx.doi.org/10.1371%2Fjournal.pgen.1003090
%V 8
%X Recombination is a process by which chromosomes exchange genetic material during meiosis. It is important in evolution because it provides offspring with new combinations of genes, and so estimating the rate of recombination is of fundamental importance in various population genomic inference problems. In this paper, we develop a new statistical method to enable robust estimation of fine-scale recombination maps of Drosophila, a genus of common fruit flies, in which the background recombination rate is high and natural selection has been prevalent. We apply our method to produce fine-scale recombination maps for a North American population and an African population of D. melanogaster. For both populations, we find extensive fine-scale variation in recombination rate throughout the genome. We provide a quantitative characterization of the similarities and differences between the recombination maps of the two populations; our study reveals high correlation at broad scales and low correlation at fine scales, as has been documented among human populations. We also examine the correlation between various genomic features. Furthermore, using a conservative approach, we find a handful of putative recombination “hotspot” regions with solid statistical support for a local elevation of at least 10 times the background recombination rate.
@article{chan2012genomewide,
abstract = {Recombination is a process by which chromosomes exchange genetic material during meiosis. It is important in evolution because it provides offspring with new combinations of genes, and so estimating the rate of recombination is of fundamental importance in various population genomic inference problems. In this paper, we develop a new statistical method to enable robust estimation of fine-scale recombination maps of Drosophila, a genus of common fruit flies, in which the background recombination rate is high and natural selection has been prevalent. We apply our method to produce fine-scale recombination maps for a North American population and an African population of D. melanogaster. For both populations, we find extensive fine-scale variation in recombination rate throughout the genome. We provide a quantitative characterization of the similarities and differences between the recombination maps of the two populations; our study reveals high correlation at broad scales and low correlation at fine scales, as has been documented among human populations. We also examine the correlation between various genomic features. Furthermore, using a conservative approach, we find a handful of putative recombination “hotspot” regions with solid statistical support for a local elevation of at least 10 times the background recombination rate.},
added-at = {2014-07-13T12:50:37.000+0200},
author = {Chan, Andrew H. and Jenkins, Paul A. and Song, Yun S.},
biburl = {https://www.bibsonomy.org/bibtex/226e3b4809d21c192f53f5a81f5e3f851/peter.ralph},
doi = {10.1371/journal.pgen.1003090},
interhash = {683b14762463beb6de99a3724b878974},
intrahash = {26e3b4809d21c192f53f5a81f5e3f851},
journal = {PLoS Genet},
keywords = {LD LD_hat methods recombination wavelet_transform},
month = {12},
number = 12,
pages = {e1003090},
publisher = {Public Library of Science},
timestamp = {2014-07-13T12:50:37.000+0200},
title = {Genome-Wide Fine-Scale Recombination Rate Variation in Drosophila melanogaster},
url = {http://dx.doi.org/10.1371%2Fjournal.pgen.1003090},
volume = 8,
year = 2012
}