Evidence map›Paper›PMID 40389923›Full record

ArticleBMC veterinary research2025

Comparative genomic analysis of Flavobacterium species causing columnaris disease of freshwater fish in Thailand: insights into virulence and resistance mechanisms.

Dung Ho My Nguyen, Putita Chokmangmeepisarn, Kamolwan Khianchaikhan, Manami Morishita, Anurak Uchuwittayakul, Benjamin R LaFrentz, Channarong Rodkhum

Abstract readComparative Study
In one paragraph

Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Columnaris-causing bacteriaMicrobiology resource announcements · 2025
    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

7 authors.

Dung Ho My NguyenCenter of Excellence in Fish Infectious Diseases (CE FID), Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Putita ChokmangmeepisarnCenter of Excellence in Fish Infectious Diseases (CE FID), Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Kamolwan KhianchaikhanCenter of Excellence in Fish Infectious Diseases (CE FID), Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Manami MorishitaCenter of Excellence in Fish Infectious Diseases (CE FID), Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Anurak UchuwittayakulLaboratory of Aquatic Animal Health Management, Department of Aquaculture, Faculty of Fisheries, Kasetsart University, Bangkok, 10900, Thailand.
Benjamin R LaFrentzAquatic Animal Health Research Unit, United States Department of Agriculture - Agricultural Research Service (USDA-ARS), Auburn, AL, USA.
Channarong RodkhumCenter of Excellence in Fish Infectious Diseases (CE FID), Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand. channarong.r@chula.ac.th.

Funding

Thailand Science Research and Innovation Fund Chulalongkorn University FF67_4709668The National Research Council of Thailand (NRCT) under Mid Career Talented Researchers NRCT5-RSA63001-01
6 · The paper itself

Abstract

backgroundColumnaris disease, a prevalent disease among farmed and wild freshwater fish, is caused by the Flavobacterium columnare group, which includes four distinct species: F. columnare, F. oreochromis, F. covae, and F. davisii. Among these, F. oreochromis, F. covae, and F. davisii are particularly prevalent in farmed freshwater fish in Thailand. In this study, a comparative genomic analysis of 22 isolates was conducted to elucidate virulence factors, antibiotic resistance genes (ARGs), genomic islands (GIs), phages, insertion elements (ISs), and clustered regularly interspaced short palindromic repeats (CRISPRs).

resultsA total of 212 putative virulence genes were predicted across three species with F. oreochromis exhibiting the highest number of unique virulence genes, followed by F. davisii, and F. covae. Moreover, 195 genes were predicted as ARGs, with F. oreochromis and F. covae showing an abundance of unique genes associated with resistance to quinolone, fluoroquinolone, and tetracycline antibiotics. Antimicrobial susceptibility testing, assessed with epidemiological cut-off values (ECVs), revealed decreased susceptibility to quinolones, fluoroquinolones and tetracycline in several isolates of F. oreochromis and F. covae. F. oreochromis and F. covae exhibited notable decreased susceptibility to quinolones, with mutations observed in the quinolone resistance-determining regions (QRDRs) of gyrA, including Ser83Phe, Ser83Val, Ser83Ala, and Asp87Tyr, the latter representing a novel mutation among isolates from Thailand. As a result, these findings suggest that gyrA is major target for quinolone in F. oreochromis, F. covae, and F. davisii, while gyrB, parC, parE might be less important to the decreased phenotypic susceptibility to this class of antimicrobials. Moreover, a tetracycline resistance gene (tetA_2) was found in only one F. covae isolate, which exhibited decreased phenotypic susceptibility to this drug, marking the first report of decreased susceptibility in this species.

conclusionsThis study provides insights into the genetic and pathogenic diversity of Flavobacterium species, aiding in the development of strategies to manage columnaris disease in farmed freshwater fish in Thailand.

Indexed as

Fish DiseasesFlavobacteriaceae InfectionsFlavobacteriumAnimalsAnti-Bacterial AgentsDrug Resistance, BacterialFishesFresh WaterGenome, BacterialGenomicsThailandVirulenceVirulence FactorsAnti-Bacterial AgentsVirulence FactorsAntibiotic resistanceComparative genome analysisFlavobacteriumFreshwater fishVirulence factor

Identifiers

PMID40389923
PMCPMC12087154

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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.