tailieunhanh - Báo cáo y học: "Genomic analysis of the relationship between gene expression variation and DNA polymorphism in Drosophila simulans"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: Genomic analysis of the relationship between gene expression variation and DNA polymorphism in Drosophila simulans. | Open Access Research Genomic analysis of the relationship between gene expression variation and DNA polymorphism in Drosophila simulans Mara KN LawniczakH Alisha K Holloway David J Begun and Corbin D Jones Addresses Division of Cell and Molecular Biology Imperial College London London SW7 2AZ UK. Department of Evolution and Ecology and Center for Population Biology University of California Shields Avenue Davis CA 95616 USA. Department of Biology and Carolina Center for Genome Science University of North Carolina Chapel Hill NC 27599 USA. H These authors contributed equally to this work. Correspondence Mara KN Lawniczak. Email . Alisha K Holloway. Email akholloway@ Published 12 August 2008 Received 6 March 2008 Genome Biology 2008 9 RI25 doi I0. II86 gb-2008-9-8-rI25 Revisedj 20 May 2008 gy g Accepted 12 August 2008 The electronic version of this article is the complete one and can be found online at http 2008 9 8 RI25 2008 Lawniczak et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Understanding how DNA sequence polymorphism relates to variation in gene expression is essential to connecting genotypic differences with phenotypic differences among individuals. Addressing this question requires linking population genomic data with gene expression variation. Results Using whole genome expression data and recent light shotgun genome sequencing of six Drosophila simulans genotypes we assessed the relationship between expression variation in males and females and nucleotide polymorphism across thousands of loci. By examining sequence polymorphism in gene features such as untranslated regions and introns we find that genes showing greater variation in .