Evidence map›Paper›PMID 39599779›Full record

ArticleViruses2024

A Novel and Rapid Selective Viral Genome Amplification and Sequencing Method for African Swine Fever Virus.

Matthias Licheri, Manon Flore Licheri, Kemal Mehinagic, Nicolas Ruggli, Ronald Dijkman

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

5 authors.

Matthias LicheriInstitute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland.
Manon Flore LicheriInstitute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland.
Kemal MehinagicGraduate School for Cellular and Biomedical Sciences, University of Bern, 3012 Bern, Switzerland.ORCID 0000-0003-2192-0028
Nicolas RuggliInstitute of Virology and Immunology IVI, 3147 Mittelhäusern, Switzerland.ORCID 0000-0002-7679-6290
Ronald DijkmanInstitute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland.ORCID 0000-0003-0320-2743

Funding

Federal Food Safety and Veterinary Office 1.19.02Federal Food Safety and Veterinary Office 1.20.02
6 · The paper itself

Abstract

African swine fever virus (ASFV) is the etiological agent of African swine fever, a highly contagious hemorrhagic disease affecting both wild boars and domestic pigs with lethality rates up to 100%. Until now, the most effective measure to prevent an outbreak of ASFV was early detection. In this situation, whole genome sequencing (WGS) allows the gathering of detailed information about the identity and epidemiology of the virus. However, due to the large genome size and complex genome ends, WGS is challenging. Current WGS workflows require either elaborate enrichment methods or are based on tiled PCR approaches, which are susceptible to genetic differences between ASFV strains. To overcome this, we developed a novel approach for WGS of ASFV, using the Phi29 DNA polymerase-based multiple displacement amplification in combination with only seven primers. Furthermore, we applied an alkaline-based DNA denaturation step to significantly increase the number of viral reads, which resolves the near-full genome of ASFV. This novel isothermal WGS approach can be used in authorized laboratories for the genomic epidemiological analysis of ASFV outbreaks caused by different genotypes.

Indexed as

African Swine FeverAfrican Swine Fever VirusGenome, ViralNucleic Acid Amplification TechniquesWhole Genome SequencingAnimalsDNA, ViralGenotypeSwineDNA, ViralAfrican swine fever virusMDAwhole genome sequencing

Identifiers

PMID39599779
PMCPMC11598870

What OpenQuestion holds

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LicenceCC BY
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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.