Evidence map›Paper›PMID 40284613›Full record

ArticleMicroorganisms2025

Development and Evaluation of a MinION Full-Length 16S rDNA Sequencing Analysis Pipeline for Rapid Diagnosis of Animal Gastrointestinal Diseases.

Ying Zhong, Qingyun Pan, Yu Wang, Jinyan Yu, Yaomen Li, Lifang Gu, Meicun Hou, Shenglong Liang, Jia Guo, Xinan Jiao and 1 more

Abstract read
In one paragraph

Article in Microorganisms, 2025. 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

11 authors.

Ying ZhongJiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China.
Qingyun PanJiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China.
Yu WangJiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China.
Jinyan YuJiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China.
Yaomen LiJiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China.
Lifang GuJiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China.
Meicun HouJiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China.
Shenglong LiangJiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China.
Jia GuoAnimal Hospital of Yangzhou University, Yangzhou University, Yangzhou 225009, China.
Xinan JiaoJiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0002-2214-3358
Yunzeng ZhangJiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China.

Funding

National Key Research and Development Program of China 2024YFC2310300Postgraduate Research and Practice Innovation Program of Jiangsu Province SJCX23_1959
6 · The paper itself

Abstract

Rapid and accurate detection of the causes of gastrointestinal diseases in farmed and companion animals is crucial for advancing livestock farming and safeguarding public health safety. Diseases caused by pathogenic bacteria infections often result in the overrepresentation of pathogens in the gut microbiota; however, gut microbiota dysbiosis without obvious pathogen overrepresentation can also lead to disorders such as inflammatory bowel disease (IBD). Traditional cultivation-based diagnostic methods are time-consuming and ineffective in identifying microbiota dysbiosis-associated diseases. In this study, we developed a sample-to-answer MinION full-length 16S rDNA sequencing analysis pipeline, accompanied by detailed bioinformatics scripts, for the rapid diagnosis of animal gastrointestinal diseases. The pipeline enables the detection of pathogens and microbiota dysbiosis-associated diseases in approximately six hours. The pipeline showed high sensitivity and specificity, as evident by the analysis of artificially contaminated samples, and accurately diagnosed bacterial infections in five cases, including chicken, duckling, and piglet samples from their respective farms, as well as a companion cat, outperforming traditional methods. It also rapidly identified IBD in five companion animals. The findings highlight the potential application of our developed sample-to-answer analysis pipeline in pathogen detection and the diagnosis of gut microbiota dysbiosis-related diseases in animals, thereby improving livestock health and public safety.

Indexed as

animal intestinal diseasesbioinformatics analysismicrobiota dysbiosisMinION full-length 16S rDNA sequencingpathogenic bacteria infectionsrapid diagnosis

Identifiers

PMID40284613
PMCPMC12029435

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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.