Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: Contribution of transcriptional regulation to natural variations in Arabidopsis. | Research Open Access Contribution of transcriptional regulation to natural variations in Arabidopsis Wenqiong J Chen Sherman H Chang Matthew E Hudson Wai-King Kwan Jingqiu Li Bram Estes Daniel Knoll Liang Shi and Tong Zhu Addresses Torrey Mesa Research Institute Syngenta Research and Technology 3115 Merryfield Row San Diego CA 92121 USA. Diversa Corporation 4955 Directors Place San Diego CA 92121 USA. Department of Crop Sciences University of Illinois 1101 W. Peabody Urbana IL 61801 USA. Syngenta Biotechnology 3054 Cornwallis Road Research Triangle Park NC 27709 USA. Hnstitut fur Allgemeine Botanik Universitat Hamburg Ohnhorststrasse 18 22609 Hamburg Germany. Correspondence TongZhu. E-mail Published 15 March 2005 Genome Biology 2005 6 R32 doi 186 gb-2005-6-4-r32 The electronic version of this article is the complete one and can be found online at http 2005 6 4 R32 Received 4 June 2004 Revised 16 November 2004 Accepted 9 February 2005 2005 Chen 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 Genetic control of gene transcription is a key component in genome evolution. To understand the transcriptional basis of natural variation we have studied genome-wide variations in transcription and characterized the genetic variations in regulatory elements among Arabidopsis accessions. Results Among five accessions Col-0 C24 Ler WS-2 and NO-0 7 508 probe sets with no detectable genomic sequence variations were identified on the basis of the comparative genomic hybridization to the Arabidopsis GeneChip microarray and used for accession-specific transcriptome analysis. Two-way ANOVA analysis has identified 60 genes whose mRNA levels differed in different accession .
