ArticleGenomics, proteomics & bioinformatics2009
Bioinformatic comparison of bacterial secretomes.
Article in Genomics, proteomics & bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- A molecular toolbox to modulate gene expression and protein secretion in the bacterial predator Bdellovibrio bacteriovorus.PLoS genetics · 2025Article
- Ayu: a machine intelligence tool for identification of extracellular proteins in the marine secretome.Nature communications · 2025Article
- NovelFrontiers in immunology · 2025Article
- Article
- Whole Cell Luminescence-Based Screen for Inhibitors of the Bacterial Sec Machinery.Biochemistry · 2024Article
- Plant Signals Anticipate the Induction of the Type III Secretion System in Pseudomonas syringae pv.Microbiology spectrum · 2022Article
- Evolution-proof inhibitors of public good cooperation: a screening strategy inspired by social evolution theory.FEMS microbiology reviews · 2022Article
- Molecular Basis of the Slow Growth ofFrontiers in cellular and infection microbiology · 2022Article
- Biotechnological Potential ofFrontiers in microbiology · 2020Review
- The antibiotic crisis: How bacterial predators can help.Computational and structural biotechnology journal · 2020Review
- Comparative Genome Analyses Reveal the Genomic Traits and Host Plant Adaptations ofInternational journal of molecular sciences · 2019Article
- A High-Resolution Luminescent Assay for Rapid and Continuous Monitoring of Protein Translocation across Biological Membranes.Journal of molecular biology · 2019Article
- Evolutionary Interplay between Symbiotic Relationships and Patterns of Signal Peptide Gain and Loss.Genome biology and evolution · 2018Article
- Genomic characterization of the uncultured Bacteroidales family S24-7 inhabiting the guts of homeothermic animals.Microbiome · 2016Article
- Protein translocation: what's the problem?Biochemical Society transactions · 2016Review
- The inhibition of type I bacterial signal peptidase: Biological consequences and therapeutic potential.Bioorganic & medicinal chemistry letters · 2015Review
- Channel crossing: how are proteins shipped across the bacterial plasma membrane?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Review
- Origins of Yersinia pestis sensitivity to the arylomycin antibiotics and the inhibition of type I signal peptidase.Antimicrobial agents and chemotherapy · 2015Article
- Genomic evidence for the emergence and evolution of pathogenicity and niche preferences in the genus Campylobacter.Genome biology and evolution · 2014Article
- Unique secreted-surface protein complex of Lactobacillus rhamnosus, identified by phage display.MicrobiologyOpen · 2013Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.