
Abstract Bacteria with two cell membranes (diderms) have evolved complex systems for protein secretion. These systems were extensively studied in some model bacteria, but the characterisation of their diversity has lagged behind due to lack of standard annotation tools. We built online and standalone computational tools to accurately predict protein secretion systems and related appendages in bacteria with LPS-containing outer membranes. They consist of models describing the systems’ components and genetic organization to be used with MacSyFinder to search for T1SS-T6SS, T9SS, flagella, Type IV pili and Tad pili. We identified ~10,000 candidate systems in bacterial genomes, where T1SS and T5SS were by far the most abundant and widespread. All these data are made available in a public database. The recently described T6SS iii and T9SS were restricted to Bacteroidetes, and T6SS ii to Francisella . The T2SS, T3SS, and T4SS were frequently encoded in single-copy in one locus, whereas most T1SS were encoded in two loci. The secretion systems of diderm Firmicutes were similar to those found in other diderms. Novel systems may remain to be discovered, since some clades of environmental bacteria lacked all known protein secretion systems. Our models can be fully customized, which should facilitate the identification of novel systems.
Lipopolysaccharides, VI-SECRETION, LEADER PEPTIDASE, Protein function predictions, IV SECRETION, Article, Bacterial secretion, Bacterial Proteins, FUNCTIONAL CLASSIFICATION, GRAM-NEGATIVE BACTERIA, Bacterial genomics, Phylogeny, 106022 Mikrobiologie, II SECRETION, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Bacteria, Models, Genetic, TULARENSIS PATHOGENICITY ISLAND, Cell Membrane, ESCHERICHIA-COLI, [SDV.GEN.GPO] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], Protein Translocation Systems, 106022 Microbiology, OUTER-MEMBRANE, [SDV.MP.BAC] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology, Genome, Bacterial, ABC SYSTEMS
Lipopolysaccharides, VI-SECRETION, LEADER PEPTIDASE, Protein function predictions, IV SECRETION, Article, Bacterial secretion, Bacterial Proteins, FUNCTIONAL CLASSIFICATION, GRAM-NEGATIVE BACTERIA, Bacterial genomics, Phylogeny, 106022 Mikrobiologie, II SECRETION, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Bacteria, Models, Genetic, TULARENSIS PATHOGENICITY ISLAND, Cell Membrane, ESCHERICHIA-COLI, [SDV.GEN.GPO] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], Protein Translocation Systems, 106022 Microbiology, OUTER-MEMBRANE, [SDV.MP.BAC] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology, Genome, Bacterial, ABC SYSTEMS
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 341 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
