Evidence map›Paper›PMID 41039239›Full record

ArticleBMC microbiology2025

Vibrio spp.: a potential critical pathogen for mammals with implications beyond marine aquaculture.

Chengzhang Li, Yiting Ji, Xinying Li, Jingting Cai, Juntao Ye, Yuqi Wu, Qinghong Liao, Ziyan Wang, Edmond Sanganyado, Ping Li and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Microorganisms · 2026
    Article
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

13 authors.

Chengzhang LiGuangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Marine Biology Institute, Shantou University, Shantou, 515063, China.
Yiting JiGuangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Marine Biology Institute, Shantou University, Shantou, 515063, China.
Xinying LiGuangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Marine Biology Institute, Shantou University, Shantou, 515063, China.
Jingting CaiGuangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Marine Biology Institute, Shantou University, Shantou, 515063, China.
Juntao YeGuangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Marine Biology Institute, Shantou University, Shantou, 515063, China.
Yuqi WuGuangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Marine Biology Institute, Shantou University, Shantou, 515063, China.
Qinghong LiaoGuangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Marine Biology Institute, Shantou University, Shantou, 515063, China.
Ziyan WangGuangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Marine Biology Institute, Shantou University, Shantou, 515063, China.
Edmond SanganyadoDepartment of Applied Sciences, Northumbria University, Newcastle upon Tyne, NE2 4PB, UK.
Ping LiGuangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Marine Biology Institute, Shantou University, Shantou, 515063, China.
Yajing SunGuangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Marine Biology Institute, Shantou University, Shantou, 515063, China. yjsun@stu.edu.cn.
Bo LiangGuangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Marine Biology Institute, Shantou University, Shantou, 515063, China. liangbo@stu.edu.cn.
Wenhua LiuGuangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Guangdong Provincial Key Laboratory of Marine Biotechnology, Marine Biology Institute, Shantou University, Shantou, 515063, China.

Funding

Key Program of Marine Economy Development (Six Marine Industries) Special Foundation of the Department of Natural Resources of Guangdong Province GDNRC[2022]48National Science Foundation for Young Scientists of China 4200615STU Scientists of China 4200615
6 · The paper itself

Abstract

backgroundSpecies-specific or health status specific microbiome composition of cetaceans is still poorly classified due to the limited samples. Despite a partial identification of the gut microbiota of melon-headed whales (Peponocephala electra), comparative analyses across anatomical systems are lacking. This study provides the first comprehensive analysis of the microbial communities habiting nine body sites - oral cavity, esophagus, foregut, midgut, hindgut, blowhole, and skin wounds (left anterior, dorsal fin, tail) - in a stranded melon-headed whale.

resultsBy 16 S rRNA gene sequencing, a decrease in microbial richness was observed from the oral cavity to the hindgut, accompanied by compositional shifts from Fusobacterium-dominated oral/esophageal niches to Vibrio-enriched gastrointestinal regions (21.81% Vibrio, 21.19% Fusobacterium, 12.50% Actinobacillus). The respiratory tract microbiota underwent a significant shift and was dominated by Ostreibacterium (57.5%), Helcococcus (6.59%), and Tenacibaculum (4.12%). Skin wounds showed environmental similarities, with Vibrio (47.84%), Pseudoalteromonas (17.84%), and Psychrobacter (12.36%). Pan-microbiome screening identified seven Vibrio species (V. alginolyticus, V. cidicii, V. cyclitrophicus, V. navarrensis, V. parahaemolyticus, V. salilacus, and V. splendidus) across all niches, along with V. cholerae in non-respiratory samples. Notably, V. profundi was exclusively localized to anterior and dorsal fin wounds. Functional profiling revealed enrichment of Vibrio-linked pathogenesis pathways (infection, pathogenic cycle) and metabolic modules that were correlated with immunocompromised states.

conclusionsThis study revealed significant bidirectional environment-host microbiome exchange dynamics across cetacean mucosal surfaces. Notably, Vibrio spp. emerged as the dominant genus in both gastrointestinal and cutaneous wound microbiomes, highlighting: (1) potential zoonotic transmission risks from pathogenic Vibrio strains, and (2) the critical need for habitat-specific microbial surveillance to inform marine mammal conservation strategies.

Indexed as

VibrioVibrio InfectionsWhalesAnimalsAquacultureBacteriaGastrointestinal MicrobiomeMammalsMicrobiotaPhylogenyRNA, Ribosomal, 16SSkinRNA, Ribosomal, 16SGastrointestinal tractMelon-headed whalePathogensRespiratory tractWound

Identifiers

PMID41039239
PMCPMC12492875

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.