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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Transcriptional slippage in bacteria: distribution in sequenced genomes and utilization in IS element gene expression. | Research Open Access Transcriptional slippage in bacteria distribution in sequenced genomes and utilization in IS element gene expression Pavel V Baranov Andrew W Hammer Jiadong Zhou Raymond F Gesteland and John F Atkins Addresses Department of Human Genetics University of Utah Salt Lake City UT 84112-5330 USA. Bioscience Institute University College Cork Cork Ireland. Current address Gene Technology Division Nitto Denko Technical Corporation 401 Jones Road Oceanside CA 92054 USA. Correspondence John FAtkins. E-mail atkins@genetics.utah.edu Published 15 February 2005 Genome Biology 2005 6 R25 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2005 6 3 R25 Received 27 August 2004 Revised 16 December 2004 Accepted 25 January 2005 2005 Baranov et al. licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Transcription slippage occurs on certain patterns of repeat mononucleotides resulting in synthesis of a heterogeneous population of mRNAs. Individual mRNA molecules within this population differ in the number of nucleotides they contain that are not specified by the template. When transcriptional slippage occurs in a coding sequence translation of the resulting mRNAs yields more than one protein product. Except where the products of the resulting mRNAs have distinct functions transcription slippage occurring in a coding region is expected to be disadvantageous. This probably leads to selection against most slippage-prone sequences in coding regions. Results To find a length at which such selection is evident we analyzed the distribution of repetitive runs of A and T of different lengths in 108 bacterial genomes. This length varies significantly among .
