Evidence map›Paper›PMID 39066231›Full record

ArticleViruses2024

Transposase-Assisted RNA/DNA Hybrid Co-Tagmentation for Target Meta-Virome of Foodborne Viruses.

Danlei Liu, Zilei Zhang, Zhiyi Wang, Liang Xue, Fei Liu, Ye Lu, Shiwei Yu, Shumin Li, Huajun Zheng, Zilong Zhang and 1 more

Abstract read
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Danlei LiuShanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai 200023, China.ORCID 0000-0002-3260-0612
Zilei ZhangInspection and Quarantine Technology Communication Department, Shanghai Customs College, Shanghai 201204, China.
Zhiyi WangShanghai International Travel Healthcare Center, Shanghai Customs District, Shanghai 200335, China.
Liang XueState Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China.ORCID 0000-0002-9131-8377
Fei LiuShandong Mental Health Center, Jinan 250014, China.
Ye LuShanghai International Travel Healthcare Center, Shanghai Customs District, Shanghai 200335, China.
Shiwei YuShanghai International Travel Healthcare Center, Shanghai Customs District, Shanghai 200335, China.
Shumin LiSchool of Veterinary Medicine, Kansas State University, Manhattan, KS 66502, USA.
Huajun ZhengShanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai 200023, China.ORCID 0000-0002-9242-4040
Zilong ZhangShanghai International Travel Healthcare Center, Shanghai Customs District, Shanghai 200335, China.
Zhengan TianShanghai International Travel Healthcare Center, Shanghai Customs District, Shanghai 200335, China.

Funding

China Postdoctoral Science Foundation 2022M722152General Administration of Customs Project 2022HK136Innovation Promotion Program of NHC and Shanghai Key Labs SIBPT RC2024-02National Key Research and Development Program of China 2022YFC2302800Shanghai Rising-Star Program 23YF1440400State Key Laboratory of Applied Microbiology Southern China SKLAM007-2022
6 · The paper itself

Abstract

Foodborne diseases are major public health problems globally. Metagenomics has emerged as a widely used tool for pathogen screening. In this study, we conducted an updated Tn5 transposase-assisted RNA/DNA hybrid co-tagmentation (TRACE) library construction approach. To address the detection of prevalent known foodborne viruses and the discovery of unknown pathogens, we employed both specific primers and oligo-T primers during reverse transcription. The method was validated using clinical samples confirmed by RT-qPCR and compared with standard RNA-seq library construction methods. The mapping-based approach enabled the retrieval of nearly complete genomes (>95%) for the majority of virus genome segments (86 out of 88, 97.73%), with a mean coverage depth of 21,494.53× (ranging from 77.94× to 55,688.58×). Co-infection phenomena involving prevalent genotypes of Norovirus with Astrovirus and Human betaherpesvirus 6B were observed in two samples. The updated TRACE-seq exhibited superior performance in viral reads percentages compared to standard RNA-seq library preparation methods. This updated method has expanded its target pathogens beyond solely Norovirus to include other prevalent foodborne viruses. The feasibility and potential effectiveness of this approach were then evaluated as an alternative method for surveilling foodborne viruses, thus paving the way for further exploration into whole-genome sequencing of viruses.

Indexed as

Foodborne DiseasesGenome, ViralMetagenomicsTransposasesDNA, ViralGene LibraryHumansNorovirusRNA, ViralViromeVirusesDNA, ViralRNA, ViralTn5 transposaseTransposasesfoodborne viruseshigh-throughput screeningpoly(A)-negative virusesTn5 transposasewhole-genome sequence

Identifiers

PMID39066231
PMCPMC11281607

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.