title: Improved pattern for genome-based screening identifies novel cell wall-attached proteins in gram-positive bacteria.
abstract: With a large number of sequenced microbial genomes available, tools for identifying groups or classes of proteins have become increasingly important. Here we present an improved pattern for the identification of cell wall-attached proteins (CWPs), a group of proteins with diverse and important functions in gram-positive bacteria. This tripartite pattern is based on analysis of 65 previously described cell wall-attached proteins and takes into account the three principal requirements for cell wall sorting; a sortase target region (LPXTGX), a membrane-spanning region, and a charged stop-transfer tail. In five different genomes of gram-positive bacteria, the tripartite pattern identified a total of 35 putative CWPs, 19 of which were novel. The specificity and sensitivity of the tripartite pattern are higher than those of the classical pattern, which is based solely on the sortase target region. Several putative CWPs with atypical sortase target regions were identified. In the complete genome of the important human pathogen Streptococcus pyogenes, the tripartite pattern identified 14 putative CWPs. Seven of the putative S. pyogenes proteins were novel, and two of these were a 5' nucleotidase and a pullulanase. This study represents the first whole-genome screening for CWPs, and we conclude that the tripartite pattern is highly suitable for this purpose. Identification of CWPs using this pattern offers important possibilities in the study of the pathogenesis and physiology of gram-positive bacteria.
authors.affiliation: Department of Cell and Molecular Biology, Section for Molecular Pathogenesis, Lund University, Sweden. Robert.Janulczyk@medkem.lu.se
authors.forename: R
authors.initials: R
authors.lastname: Janulczyk
authors.forename: M
authors.initials: M
authors.lastname: Rasmussen
mesh_terms: D000595:Amino Acid Sequence; D001426:Bacterial Proteins / Q000737:chemistry / Q000235:genetics* / Q000378:metabolism; D002473:Cell Wall / Q000378:metabolism*; D019295:Computational Biology / Q000379:methods; D016680:Genome, Bacterial; D006094:Gram-Positive Bacteria / Q000235:genetics* / Q000378:metabolism; D008969:Molecular Sequence Data; D021382:Protein Sorting Signals / Q000235:genetics*; D012680:Sensitivity and Specificity
chemical_list: D001426:Bacterial Proteins; D021382:Protein Sorting Signals