Evidence map›Paper›PMID 40928217›Full record

ArticleApplied and environmental microbiology2025

Enhanced metagenomic surveillance for bovine respiratory disease pathogens and antimicrobial resistance by hybridization capture sequencing.

Jennifer N Russell, Daniël Kos, Elhem Yacoub, Ashton N Sies, Brian Warr, Murray Jelinski, Antonio Ruzzini, Andrew D S Cameron

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 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. Review
  2. 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

8 authors.

Jennifer N RussellDepartment of Biology, University of Regina, Regina, Saskatchewan, Canada.ORCID 0000-0002-8508-5394
Daniël KosInstitute for Microbial Systems and Society, Faculty of Science, University of Regina, Regina, Saskatchewan, Canada.ORCID 0009-0000-5549-849X
Elhem YacoubDepartment of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Ashton N SiesDepartment of Biology, University of Regina, Regina, Saskatchewan, Canada.ORCID 0000-0003-2145-7010
Brian WarrDepartment of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Murray JelinskiDepartment of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.ORCID 0000-0001-6239-4496
Antonio RuzziniDepartment of Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.ORCID 0000-0002-5697-5371
Andrew D S CameronDepartment of Biology, University of Regina, Regina, Saskatchewan, Canada.ORCID 0000-0003-1560-8572

Funding

Ministry of Agriculture - Saskatchewan 20180305Ministry of Agriculture - Saskatchewan 20200187Ministry of Agriculture - Saskatchewan 20210572
6 · The paper itself

Abstract

Bovine respiratory disease (BRD) is the primary disease of cattle and is responsible for most of the antibiotic use in the beef industry, both for metaphylaxis and treatment. Infection prevention and targeted treatments would benefit from detecting and identifying bacterial pathogens and, ideally, assessing antibiotic sensitivity. Here, we report success refining targeted metagenomics by hybridization capture sequencing (CapSeq) to detect and genotype bacterial pathogens and genes for antibiotic resistance in BRD. We developed a novel multi-locus sequence typing (MLST) strategy to both enhance assay sensitivity and provide epidemiological data compatible with traditional typing assays. Phylogenetically informed panel design by ProbeTools coupled with hybridization capture enabled the sequencing of novel genotypes and elucidated coinfection by distinct strains of IMPORTANCE: Shotgun metagenomic sequencing for infectious disease diagnostics and surveillance benefits from simultaneous detection of multiple pathogens in a sample. Adding a hybridization probe capture step to the metagenomics workflow enriches targeted loci to improve the sensitivity of pathogen detection without compromising the ability to detect pathogen variants. Our custom probe panel enables multi-locus sequence typing of bovine respiratory disease agents as well as capture of antibiotic resistance genes, which improves the sensitivity of metagenomic testing and provides genotyping data compatible with traditional assays. This study demonstrates the utility of new design principles for probe panels; it also demonstrates how targeted metagenomics provides important new insights into co-infections and is equally useful for surveillance of environmental reservoirs of disease agents.

Indexed as

BacteriaBovine Respiratory Disease ComplexCattle DiseasesDrug Resistance, BacterialMetagenomicsAnimalsAnti-Bacterial AgentsCattleHigh-Throughput Nucleotide SequencingMultilocus Sequence TypingNucleic Acid HybridizationAnti-Bacterial Agentsantimicrobial resistance genesbovine respiratory diseaseco-infectionhybridization capture sequencingtargeted metagenomics

Identifiers

PMID40928217
PMCPMC12542742

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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.