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Bioinformatic Comparison of Bacterial Secretomes

The rapid increasing number of completed bacterial genomes provides a good opportunity to compare their proteomes. This study was undertaken to specifically compare and contrast their secretomes—the fraction of the proteome with predicted N-terminal signal sequences, both type I and type II. A total...

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Detalles Bibliográficos
Autores principales: Song, Catharine, Kumar, Aseem, Saleh, Mazen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054224/
https://www.ncbi.nlm.nih.gov/pubmed/19591790
http://dx.doi.org/10.1016/S1672-0229(08)60031-5
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author Song, Catharine
Kumar, Aseem
Saleh, Mazen
author_facet Song, Catharine
Kumar, Aseem
Saleh, Mazen
author_sort Song, Catharine
collection PubMed
description The rapid increasing number of completed bacterial genomes provides a good opportunity to compare their proteomes. This study was undertaken to specifically compare and contrast their secretomes—the fraction of the proteome with predicted N-terminal signal sequences, both type I and type II. A total of 176 theoretical bacterial proteomes were examined using the ExProt program. Compared with the Gram-positives, the Gram-negative bacteria were found, on average, to contain a larger number of potential Sec-dependent sequences. In the Gram-negative bacteria but not in the others, there was a positive correlation between proteome size and secretome size, while there was no correlation between secretome size and pathogenicity. Within the Gram-negative bacteria, intracellular pathogens were found to have the smallest secretomes. However, the secretomes of certain bacteria did not fit into the observed pattern. Specifically, the secretome of Borrelia burgdoferi has an unusually large number of putative lipoproteins, and the signal peptides of mycoplasmas show closer sequence similarity to those of the Gram-negative bacteria. Our analysis also suggests that even for a theoretical minimal genome of 300 open reading frames, a fraction of this gene pool (up to a maximum of 20%) may code for proteins with Sec-dependent signal sequences.
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spelling pubmed-50542242016-10-14 Bioinformatic Comparison of Bacterial Secretomes Song, Catharine Kumar, Aseem Saleh, Mazen Genomics Proteomics Bioinformatics Article The rapid increasing number of completed bacterial genomes provides a good opportunity to compare their proteomes. This study was undertaken to specifically compare and contrast their secretomes—the fraction of the proteome with predicted N-terminal signal sequences, both type I and type II. A total of 176 theoretical bacterial proteomes were examined using the ExProt program. Compared with the Gram-positives, the Gram-negative bacteria were found, on average, to contain a larger number of potential Sec-dependent sequences. In the Gram-negative bacteria but not in the others, there was a positive correlation between proteome size and secretome size, while there was no correlation between secretome size and pathogenicity. Within the Gram-negative bacteria, intracellular pathogens were found to have the smallest secretomes. However, the secretomes of certain bacteria did not fit into the observed pattern. Specifically, the secretome of Borrelia burgdoferi has an unusually large number of putative lipoproteins, and the signal peptides of mycoplasmas show closer sequence similarity to those of the Gram-negative bacteria. Our analysis also suggests that even for a theoretical minimal genome of 300 open reading frames, a fraction of this gene pool (up to a maximum of 20%) may code for proteins with Sec-dependent signal sequences. Elsevier 2009-06 2009-07-08 /pmc/articles/PMC5054224/ /pubmed/19591790 http://dx.doi.org/10.1016/S1672-0229(08)60031-5 Text en © 2009 Beijing Institute of Genomics http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/).
spellingShingle Article
Song, Catharine
Kumar, Aseem
Saleh, Mazen
Bioinformatic Comparison of Bacterial Secretomes
title Bioinformatic Comparison of Bacterial Secretomes
title_full Bioinformatic Comparison of Bacterial Secretomes
title_fullStr Bioinformatic Comparison of Bacterial Secretomes
title_full_unstemmed Bioinformatic Comparison of Bacterial Secretomes
title_short Bioinformatic Comparison of Bacterial Secretomes
title_sort bioinformatic comparison of bacterial secretomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054224/
https://www.ncbi.nlm.nih.gov/pubmed/19591790
http://dx.doi.org/10.1016/S1672-0229(08)60031-5
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