Finding the genes underlying complex traits is difficult. We show that new sequencing technology combined with traditional genetic techniques can efficiently identify genetic regions underlying a complex and quantitative behavioral trait. As a proof of concept we used phenotype-based introgression to backcross loci that control innate food preference in Drosophila simulans into the genomic background of D. sechellia , which expresses the opposite preference. We successfully mapped D. simulans introgression regions in a small mapping population (30 flies) with whole-genome resequencing using light coverage (∼1×). We found six loci contributing to D. simulans food preference, one of which overlaps a previously discovered allele. This approach is applicable to many systems, does not rely on laborious marker development or genotyping, does not require existing high quality reference genomes, and needs only small mapping populations. Because introgression is used, researchers can scale mapping population size, replication, and number of backcross generations to their needs. Finally, in contrast to more widely used mapping techniques like F 2 bulk-segregant analysis, our method produces near-isogenic lines that can be kept and reused indefinitely. Received April 11, 2011. Accepted September 10, 2011. Copyright © 2011 by the Genetics Society of America Related articles Issue Highlights : ISSUE HIGHLIGHTS Genetics December 2011 189 : NP Full Text Full Text (PDF) « Previous | Next Article » Table of Contents This Article Published online before print September 21, 2011 , doi: 10.1534/genetics.111.129445 Genetics December 1, 2011 vol. 189 no. 4 1203-1209 » Abstract Full Text Full Text (PDF) Supporting Information Classifications Investigations Methods, Technology, and Resources Services Email this article to a friend Alert me when this article is cited Alert me if a correction is posted Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Download to citation manager Citing Articles Load citing article information Google Scholar Articles by Earley, E. J. PubMed PubMed citation Articles by Earley, E. J. Related Content Related articles in this journal Load related web page information This Months's Issue January 2012, 190 (1) Alert me to new issues of Genetics ABOUT SUBSCRIBE INFO FOR AUTHORS ONLINE SUBMISSION EDITORIAL BOARD CONTACT ALERTS HELP ADVERTISING RSS Help Contact Us International Access Link Print ISSN: 0016-6731 Online ISSN: 1943-2631 Copyright © 2012 by the Genetics Society of America phone: 412-268-1812 fax: 412-268-1813 email: genetics-gsa@andrew.cmu.edu
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