Evidence map›Paper›PMID 42045989›Full record

ReviewJournal of fish diseases2026

Toxin Secretion Systems Used by Marine Pathogenic Bacteria: A Review.

Melissa Camberos-Solano, Sonia A Soto-Rodriguez

Abstract readReview
In one paragraph

Review in Journal of fish diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Melissa Camberos-SolanoCentro de Investigación en Alimentación y Desarrollo, Subsede Mazatlán en Acuicultura y Manejo Ambiental, Mazatlán, México.ORCID https://orcid.org/0009-0005-1209-4520
Sonia A Soto-RodriguezCentro de Investigación en Alimentación y Desarrollo, Subsede Mazatlán en Acuicultura y Manejo Ambiental, Mazatlán, México.ORCID https://orcid.org/0000-0003-0760-4029

Funding

Consejo Nacional de Humanidades, Ciencia y Tecnologia 937234
6 · The paper itself

Abstract

Diseases caused by marine bacteria pose a significant challenge for aquaculture and related activities, resulting in high mortality rates and substantial economic losses. This review presents a list of bacterial pathogens found in cultured aquatic organisms, along with the secretion systems they use to export virulence factors or toxins. We focus on the principal secretion systems employed by pathogenic marine bacteria, particularly those belonging to the genera Vibrio, Aeromonas, Photobacterium and Tenacibaculum. We describe the structural organization, functional mechanisms and toxin-associated substrates of secretion systems from types I, II, III, IV, VI and IX. Furthermore, we explain the mechanisms of action of the most important marine bacterial toxins, focusing on hemolysins, pore-forming toxins, enzymes and protein toxins, with particular emphasis on the PirAB toxin, which causes acute hepatopancreatic necrosis disease (AHPND). Additionally, we discuss the regulatory networks that control toxin expression in response to environmental conditions and quorum-sensing signals, as well as the impact of the toxins secreted by marine organisms on aquaculture systems. Understanding the mechanisms of toxin secretion in aquaculture is essential for developing effective prevention measures and improving overall health management in aquatic production systems.

Indexed as

BacteriaBacterial Secretion SystemsBacterial ToxinsFish DiseasesAnimalsAquacultureAquatic OrganismsBacterial Secretion SystemsBacterial Toxinsaquaculturediseasespathogenic bacteriatoxins

Identifiers

PMID42045989
PMCPMC13532600

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.