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具有R&R共有序列的果蝇表皮蛋白:使用一种区分RR-1和RR-2序列的新工具进行注释和分类

Drosophila cuticular proteins with the R&R Consensus: annotation and classification with a new tool for discriminating RR-1 and RR-2 sequences.

作者信息

Karouzou Maria V, Spyropoulos Yannis, Iconomidou Vassiliki A, Cornman R S, Hamodrakas Stavros J, Willis Judith H

机构信息

Department of Cell Biology and Biophysics, Faculty of Biology, University of Athens, Athens 157 01, Greece.

出版信息

Insect Biochem Mol Biol. 2007 Aug;37(8):754-60. doi: 10.1016/j.ibmb.2007.03.007. Epub 2007 Mar 19.

Abstract

The majority of cuticular protein sequences identified to date from a diversity of arthropods have a conserved region known as the Rebers and Riddiford Consensus (R&R Consensus). This consensus region has been used to query the whole genome sequence of Drosophila melanogaster. One hundred one putative cuticular proteins have been annotated. Of these, 29 had been annotated previously, and for several their authenticity as cuticular proteins had been verified by protein sequence data from isolated cuticles or by localization of their transcripts in epidermis when cuticle synthesis was occurring. The original names have been retained, and the 72 newly annotated proteins have been given names beginning with Cpr followed by the chromosomal band in which the gene is located. Proteins with the R&R Consensus can be split into three groups RR-1, RR-2 and RR-3, with some correlation to the type or region of the cuticle in which they occur. Previous classification was manual and subjective. We now have developed a tool using profile hidden Markov models that allows more objective classification. We describe the development and verification of the validity of this tool that is available at the cuticleDB website http://bioinformatics2.biol.uoa.gr/cuticleDB/index.jsp.

摘要

迄今为止,从多种节肢动物中鉴定出的大多数表皮蛋白序列都有一个保守区域,称为雷伯斯和里迪福德共有序列(R&R共有序列)。这个共有序列已被用于查询黑腹果蝇的全基因组序列。已经注释了101种假定的表皮蛋白。其中,29种先前已被注释,并且对于其中几种,其作为表皮蛋白的真实性已通过分离表皮的蛋白质序列数据或通过其转录本在表皮合成时在表皮中的定位得到验证。保留了原来的名称,72种新注释的蛋白被赋予了以Cpr开头,后面跟着该基因所在染色体带的名称。具有R&R共有序列的蛋白可分为三组RR-1、RR-2和RR-3,与它们所在的表皮类型或区域有一定相关性。以前的分类是人工且主观的。我们现在开发了一种使用轮廓隐马尔可夫模型的工具,可进行更客观的分类。我们描述了此工具的开发以及对其有效性的验证,该工具可在表皮数据库网站http://bioinformatics2.biol.uoa.gr/cuticleDB/index.jsp上获取。

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