Evidence map›Paper›PMID 38897967›Full record

ArticleMicrobes and environments2024

Application of Genomic Epidemiology of Pathogens to Farmed Yellowtail Fish Mycobacteriosis in Kyushu, Japan.

Takayuki Wada, Shiomi Yoshida, Takeshi Yamamoto, Lisa Nonaka, Yukari Fukushima, Chie Nakajima, Yasuhiko Suzuki, Masayuki Imajoh

Abstract read
In one paragraph

Article in Microbes and environments, 2024. 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
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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

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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

8 authors.

Takayuki WadaDepartment of Microbiology, Graduate School of Human Life and Ecology, Osaka Metropolitan University.
Shiomi YoshidaClinical Research Center, National Hospital Organization Kinki-chuo Chest Medical Center.
Takeshi YamamotoAzuma-cho Fisheries Cooperative Association.
Lisa NonakaFaculty of Human Life Sciences, Shokei University.
Yukari FukushimaDivision of Bioresources, International Institute for Zoonosis Control, Hokkaido University.
Chie NakajimaDivision of Bioresources, International Institute for Zoonosis Control, Hokkaido University.
Yasuhiko SuzukiDivision of Bioresources, International Institute for Zoonosis Control, Hokkaido University.
Masayuki ImajohLaboratory of Fish Disease, Aquaculture Course, Department of Marine Resource Science, Faculty of Agriculture and Marine Science, Kochi University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate mycobacterial cases of farmed yellowtail fish in coastal areas of western Japan (Kagoshima, Kyushu), where aquaculture fisheries are active, Mycobacterium pseudoshottsii, the causative agent, was isolated from six neighboring fishing ports in 2012 and 2013. A phylogenetic ana-lysis revealed that the strains isolated from one fishing port were closely related to those isolated from other regions of Japan, suggesting the nationwide spread of a single strain. However, strains from Japan were phylogenetically distinct from those from the Mediterranean and the United States; therefore, worldwide transmission was not observed based on the limited data obtained on the strains exami-ned in this study. The present results demonstrate that a bacterial genomic ana-lysis of infected cases, a mole-cular epidemiology strategy for public health, provides useful data for estimating the prevalence and transmission pathways of M. pseudoshottsii in farmed fish. A bacterial genome ana-lysis of strains, such as that performed herein, may play an important role in monitoring the prevalence of this pathogen in fish farms and possible epidemics in the future as a result of international traffic, logistics, and trade in fisheries.

Indexed as

AquacultureFish DiseasesGenome, BacterialMycobacterium InfectionsPhylogenyAnimalsFisheriesFishesGenomicsJapanMolecular EpidemiologyMycobacteriumPrevalencefish farmfish mycobacteriosisMycobacterium pseudoshottsiipublic health

Identifiers

PMID38897967
PMCPMC11220446

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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.