Evidence map›Paper›PMID 41092232›Full record

ArticleMolecular biology and evolution2025

Enriched Long-Read Sequencing of Co-circulating Viruses in Complex Samples.

Mariana Meneguzzi, Jonathan Bravo, Tara N Gaire, Peter M Ferm, Montserrat Torremorell, Christina Boucher, Noelle R Noyes

Abstract read
In one paragraph

Article in Molecular biology and evolution, 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
–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

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

7 authors.

Mariana MeneguzziDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, 1333 Gortner Avenue, St. Paul, MN 55108, USA.ORCID 0000-0002-6054-6174
Jonathan BravoDepartment of Computer & Information Science & Engineering, University of Florida, 432 Newell Drive, Gainesville, FL 32611, USA.ORCID 0000-0002-4481-8766
Tara N GaireSchool of Veterinary Medicine, Texas Tech University, 7671 Evans Drive, Amarillo, TX 79119, USA.ORCID 0000-0003-1805-8051
Peter M FermDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, 1333 Gortner Avenue, St. Paul, MN 55108, USA.ORCID 0009-0008-8873-0185
Montserrat TorremorellDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, 1333 Gortner Avenue, St. Paul, MN 55108, USA.ORCID 0000-0002-9626-6537
Christina BoucherDepartment of Computer & Information Science & Engineering, University of Florida, 432 Newell Drive, Gainesville, FL 32611, USA.ORCID 0000-0001-9509-9725
Noelle R NoyesDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, 1333 Gortner Avenue, St. Paul, MN 55108, USA.ORCID 0000-0001-6149-1008

Funding

Developing Computational Methods for Surveillance of Antimicrobial Resistant AgentsR01AI141810 · NIAID · UNIVERSITY OF FLORIDA · PI BOUCHER, CHRISTINA, PROSPERI, MATTIA · 2019 to 2023
$2.1M
NIAID NIH HHS R01 AI141810NIH HHS 1R01AI141810-01Swine Health Information Center 22-071University of MinnesotaUSDA National Institute of Food and Agriculture 024555
6 · The paper itself

Abstract

At present, no single workflow is available for quick and accurate identification and analysis of genomes of various viruses present together in a field or clinical sample, particularly when followed by long-read sequencing. Our work addressed this limitation by combining targeted enrichment with long-read, real-time sequencing. Using a panel of probes targeting 16,069 complete viral genomes, we validated this workflow (termed TELSVirus) on complex sample matrices collected from pigs and compared its performance to traditional methods including real-time reverse transcription polymerase chain reaction and shotgun metagenomics. Using serial dilutions of samples with known viral status, we observed that TELSVirus generated viral reads for dilutions up to 10-9. TELSVirus was able to detect viral targets when shotgun metagenomic long- and short-read datasets did not and when rRT-PCR results were undetermined. Finally, we performed TELSVirus on 144 oral fluid samples collected in the field, which are highly complex and diverse samples used for viral surveillance in swine. We identified a high prevalence of relatively understudied viruses, often found co-circulating with better-characterized viruses. In many cases, TELSVirus generated ultra-deep genome coverage, allowing for further genomic epidemiological investigations, although bioinformatic methods need further development to work robustly with TELSVirus data. Our results support using TELSVirus for rapid detection and genomic characterization of multiple low-abundance viruses from single samples using long-read sequencing.

Indexed as

Genome, ViralVirusesAnimalsHigh-Throughput Nucleotide SequencingMetagenomicsSwineSwine Diseaseslong-readminionprobe-capturetarget enrichmentviruses

Identifiers

PMID41092232
PMCPMC12628787

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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.