Evidence map›Paper›PMID 41526915›Full record

ArticleBMC veterinary research2026

Improved RNA-based metagenomic sequencing for rapid pathogen detection in pets.

Dongyan Shao, Yifei Li, Siyu Chen, Shizhen Ma, Yang Liu, Wei Huang, Dejun Liu, Yanli Lyu, Zhaofei Xia, Yang Wang

Abstract read
In one paragraph

Article in BMC veterinary research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

10 authors.

Dongyan Shao *National Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Yifei Li *Department of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Siyu Chen *Department of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Shizhen MaNational Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Yang LiuClinical Laboratory Diagnostic Center, China Agricultural University Veterinary Teaching Hospital, Beijing, China.
Wei HuangClinical Laboratory Diagnostic Center, China Agricultural University Veterinary Teaching Hospital, Beijing, China.
Dejun LiuNational Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Yanli LyuDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China. luyanli@cau.edu.cn.
Zhaofei XiaDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China. drxia@126.com.
Yang WangNational Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China. wangyang@cau.edu.cn.

Funding

National Key Research and Development Program of China 2022YFD18000400Pinduoduo-China Agricultural University Research Fund PC2023A01002
6 · The paper itself

Abstract

In veterinary medicine, particularly in pet clinics, the accurate and rapid detection of pathogens is crucial for effective disease diagnosis and treatment. Traditional diagnostic methods are often time-consuming and fall short in identifying a broad spectrum of pathogens. The newly developed metagenomic transcriptomics next-generation sequencing (mtNGS) technology is a promising tool for the rapid detecting RNA- and DNA-based pathogens. However, its application in pet clinics has been limited due to high costs, complex operational procedures, and the absence of unified protocols. Here we established a standardized mtNGS workflow for pathogen detection tailored to various clinical sample types from pets. This workflow involves the extraction of total RNA without rRNA depletion and sequencing using Illumina platforms. It also incorporates Bowtie2 to eliminate host genome sequences and MetaPhlAn3 to identify microbial compositions. Our mtNGS technology was evaluated in 16 diverse clinical cases involving body fluids, fecal samples, nasopharyngeal swabs, and tissue samples from dogs, cats, and parrots. Notably, it detected pathogens in all cases, including an identification of Mycobacterium intracellulare in a cat, highlighting its utility in diagnosing zoonotic diseases. These results, corroborated by traditional techniques, demonstrate that the mtNGS-based diagnostic approach is particularly advantageous in cases where conventional diagnostics are insufficient or when multiple co-infections are suspected. This method exhibits potential in diagnosing complex clinical diseases that are challenging to identify using traditional techniques, thus representing a promising tool and can be widely applied in veterinary diagnostics.

Indexed as

High-Throughput Nucleotide SequencingMetagenomicsPetsAnimalsCat DiseasesCatsDog DiseasesDogsMetagenomic transcriptomics next-generation sequencingMycobacterium intracellulareVeterinary medicine

Identifiers

PMID41526915
PMCPMC12924589

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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.