ÿþ<HTML><HEAD><TITLE>25º Congresso Brasileiro de Microbiologia </TITLE><link rel=STYLESHEET type=text/css href=css.css></HEAD><BODY aLink=#ff0000 bgColor=#FFFFFF leftMargin=0 link=#000000 text=#000000 topMargin=0 vLink=#000000 marginheight=0 marginwidth=0><table align=center width=700 cellpadding=0 cellspacing=0><tr><td align=left bgcolor=#cccccc valign=top width=550><font face=arial size=2><strong><font face=Verdana, Arial, Helvetica, sans-serif size=3><font size=1>25º Congresso Brasileiro de Microbiologia </font></font></strong><font face=Verdana size=1><b><br></b></font><font face=Verdana, Arial,Helvetica, sans-serif size=1><strong> </strong></font></font></td><td align=right bgcolor=#cccccc valign=top width=150><font face=arial size=2><strong><font face=Verdana, Arial, Helvetica, sans-serif size=1><font size=1>ResumoID:1263-1</font></em></font></strong></font></td></tr><tr><td colspan=2><br><br><table align=center width=700><tr><td>Área: <b>Genética e Biologia Molecular ( Divisão N )</b><p align=justify><strong>CORYNEBACTERIAL GENOME SEQUENCE ANALYSIS IN A HIGH-SPEED PROCESS</strong></p><p align=justify><b>Eva Eva Trost </b> (<i>Bielefeld University</i>); <b>Jessica Schneider </b> (<i>Bielefeld University</i>); <b>Jochen Blom </b> (<i>Bielefeld University</i>); <b>Andreas Tauch </b> (<i>Bielefeld University</i>); <b>Alexander Goesmann </b> (<i>Bielefeld University</i>)<br><br></p><b><font size=2>Resumo</font></b><p align=justify class=tres><font size=2><P class=MsoNormal style="MARGIN: 0cm 0cm 0pt; LINE-HEIGHT: 150%; TEXT-ALIGN: justify"><B><SPAN lang=EN-GB style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; mso-bidi-font-size: 12.0pt; mso-ansi-language: EN-GB">Corynebacterial genome sequence analysis in a high-speed process<?xml:namespace prefix = o ns = "urn:schemas-microsoft-com:office:office" /><o:p></o:p></SPAN></B></P> <P class=MsoNormal style="MARGIN: 0cm 0cm 0pt; LINE-HEIGHT: 150%; TEXT-ALIGN: justify"><B><U><SPAN lang=DE>Eva Trost</SPAN></U></B><SPAN lang=DE>, Jessica Schneider, Jochen Blom, Andreas Tauch, Alexander Goesmann</SPAN></P> <P class=MsoNormal style="MARGIN: 0cm 0cm 0pt; LINE-HEIGHT: 150%; TEXT-ALIGN: justify"><SPAN lang=EN-GB style="mso-ansi-language: EN-GB">Center for Biotechnology, Bielefeld University, Germany<o:p></o:p></SPAN></P> <P class=MsoNormal style="MARGIN: 0cm 0cm 0pt; LINE-HEIGHT: 150%; TEXT-ALIGN: justify"><SPAN lang=EN-GB style="mso-ansi-language: EN-GB">etrost</SPAN><SPAN lang=EN-GB style="FONT-SIZE: 10pt; LINE-HEIGHT: 150%; mso-bidi-font-size: 12.0pt; mso-ansi-language: EN-GB">@</SPAN><SPAN lang=EN-GB style="mso-ansi-language: EN-GB">cebitec.uni-bielefeld.de<o:p></o:p></SPAN></P> <P class=MsoNormal style="MARGIN: 0cm 0cm 0pt; LINE-HEIGHT: 150%; TEXT-ALIGN: justify"><SPAN lang=EN-GB style="mso-ansi-language: EN-GB"><o:p>&nbsp;</o:p></SPAN></P> <P class=MsoNormal style="MARGIN: 0cm 0cm 0pt; LINE-HEIGHT: 150%; TEXT-ALIGN: justify"><SPAN lang=EN-GB style="mso-ansi-language: EN-GB">Newly developed ultrafast sequencing strategies provide efficient access to huge amounts of microbial genome sequences. The open source prokaryotic genome annotation system GenDB can be used for administration, processing and visualization of the generated data. One challenge after assembly and annotation is the establishment of an automated and fast functional analysis pipeline based on comparative genome analysis approaches. Therefore, the tools CARMEN and EDGAR have been developed. CARMEN (<U>C</U>omparative <U>A</U>nalysis and <U>R</U>econstruction of <U>Me</U>tabolic <U>N</U>etworks) supports the fast <I>de novo</I> reconstruction of metabolic pathways. <I>De novo</I> pathway reconstruction is based on KGML-files of KEGG pathway maps in combination with genome annotation data. Furthermore, curated models can be mapped onto a reference genome template. Thus, the results of reciprocal best BLAST hits between all genes of a newly sequenced species and the reference genome are employed. The output of CARMEN is a file compliant to the standardized SBML-format. As an XML-based exchange format it can be visualized by the CellDesigner software to get a quick overview of metabolic networks. This organism-specific network model of individual or large scale metabolic pathways can be reconstructed based on genome annotation data which can be obtained from NCBI GenBank files or alternatively from a local installation of GenDB. CARMEN provides a user-friendly way to manipulate (add, remove, change) the reconstructed pathways. EDGAR (<U>E</U>fficient <U>D</U>atabase framework for comparative <U>G</U>enome <U>A</U>nalysis using BLAST score <U>R</U>atios) was developed to accomplish the major tasks in comparative genomics like the identification of orthologous genes in different genomes and the classification of genes as core genes or singletons. EDGAR is designed to automatically perform genome comparisons in a high throughput approach. Comparative analyses for 582 genomes across 75 genus groups taken from the NCBI genomes database were conducted with the software and the results were integrated into an underlying database. The integration of CARMEN and EDGAR facilitates a special comparative metabolic network visualization and allows to rapidly detect the special genomic features of a species of interest.<o:p></o:p></SPAN></P> <P>&nbsp;</P></font></p><br><b>Palavras-chave: </b>&nbsp;Corynebacterium, bioinformatic, ultrafast sequencing, genome annotation, microbial genome</td></tr></table></tr></td></table></body></html>