ArticlePloS one2019
Identification and characterization of putative Aeromonas spp. T3SS effectors.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 31 citations in OpenAlex.
- Cytotoxicity induced by Aeromonas schubertii is orchestrated by a unique set of type III secretion system effectors.Veterinary research · 2025Article
- Isolation, Identification, and Characteristics ofPathogens (Basel, Switzerland) · 2025Article
- Investigating Additive and Replacing Horizontal Gene Transfers Using Phylogenies and Whole Genomes.Genome biology and evolution · 2024Article
- Unravelling bacterial virulence factors in yeast: From identification to the elucidation of their mechanisms of action.Archives of microbiology · 2024Review
- Antimicrobial resistance in aeromonads and new therapies targeting quorum sensing.Applied microbiology and biotechnology · 2024Review
- EmergingFrontiers in microbiology · 2024Article
- Tad pili contribute to the virulence and biofilm formation of virulentFrontiers in cellular and infection microbiology · 2024Article
- Interactions betweenFrontiers in microbiology · 2024Article
- Genome Analysis Identifies a Novel Type III Secretion System (T3SS) Category inMicroorganisms · 2023Article
- Emergence ofFrontiers in microbiology · 2023Article
- Potential Pathogenicity ofPathogens (Basel, Switzerland) · 2022Article
- Evaluation of Proteomic and Lipidomic Changes inInternational journal of molecular sciences · 2022Article
- Improving Phylogenies Based on Average Nucleotide Identity, Incorporating Saturation Correction and Nonparametric Bootstrap Support.Systematic biology · 2022Article
- An Efficient, Nonphylogenetic Method for Detecting Genes Sharing Evolutionary Signals in Phylogenomic Data Sets.Genome biology and evolution · 2021Article
- Systematic Detection of Large-Scale Multigene Horizontal Transfer in Prokaryotes.Molecular biology and evolution · 2021Article
- Article
- Pancreaticobiliary Cancers and Aeromonas Isolates Carrying Type Ⅲ Secretion System GenesFrontiers in cellular and infection microbiology · 2021Article
- Comparative and Evolutionary Genomics of Isolates Provide Insight into the Pathoadaptation of Aeromonas.Genome biology and evolution · 2020Article
- An Update on the GenusMicroorganisms · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The genetic determinants of bacterial pathogenicity are highly variable between species and strains. However, a factor that is commonly associated with virulent Gram-negative bacteria, including many Aeromonas spp., is the type 3 secretion system (T3SS), which is used to inject effector proteins into target eukaryotic cells. In this study, we developed a bioinformatics pipeline to identify T3SS effector proteins, applied this approach to the genomes of 105 Aeromonas strains isolated from environmental, mutualistic, or pathogenic contexts and evaluated the cytotoxicity of the identified effectors through their heterologous expression in yeast. The developed pipeline uses a two-step approach, where candidate Aeromonas gene families are initially selected using Hidden Markov Model (HMM) profile searches against the Virulence Factors DataBase (VFDB), followed by strict comparisons against positive and negative control datasets, greatly reducing the number of false positives. This approach identified 21 Aeromonas T3SS likely effector families, of which 8 represent known or characterized effectors, while the remaining 13 have not previously been described in Aeromonas. We experimentally validated our in silico findings by assessing the cytotoxicity of representative effectors in Saccharomyces cerevisiae BY4741, with 15 out of 21 assayed proteins eliciting a cytotoxic effect in yeast. The results of this study demonstrate the utility of our approach, combining a novel in silico search method with in vivo experimental validation, and will be useful in future research aimed at identifying and authenticating bacterial effector proteins from other genera.
Indexed as
Identifiers
What OpenQuestion holds
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.