Evidence map›Paper›PMID 38005923›Full record

ArticleViruses2023

A Re-Evaluation of African Swine Fever Genotypes Based on p72 Sequences Reveals the Existence of Only Six Distinct p72 Groups.

Edward Spinard, Mark Dinhobl, Nicolas Tesler, Hillary Birtley, Anthony V Signore, Aruna Ambagala, Charles Masembe, Manuel V Borca, Douglas P Gladue

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
21.1field-weighted citation impact, top 1% of its field
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

52 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 4 institutions in 3 countries.

Edward SpinardPlum Island Animal Disease Center, Agricultural Research Service, U.S. Department of Agriculture, Foreign Animal Disease Research Unit, Orient, NY 11957, USA.ORCID 0000-0001-7268-6580
Mark DinhoblPlum Island Animal Disease Center, Agricultural Research Service, U.S. Department of Agriculture, Foreign Animal Disease Research Unit, Orient, NY 11957, USA.
Nicolas TeslerPlum Island Animal Disease Center, Agricultural Research Service, U.S. Department of Agriculture, Foreign Animal Disease Research Unit, Orient, NY 11957, USA.ORCID 0000-0001-8863-9260
Hillary BirtleyPlum Island Animal Disease Center, Agricultural Research Service, U.S. Department of Agriculture, Foreign Animal Disease Research Unit, Orient, NY 11957, USA.
Anthony V SignoreCenter of Excellence for African Swine Fever Genomics, Guilford, CT 06437, USA.ORCID 0000-0002-0664-0864
Aruna AmbagalaCenter of Excellence for African Swine Fever Genomics, Guilford, CT 06437, USA.ORCID 0000-0003-1783-2105
Charles MasembeCenter of Excellence for African Swine Fever Genomics, Guilford, CT 06437, USA.ORCID 0000-0002-9581-0414
Manuel V BorcaPlum Island Animal Disease Center, Agricultural Research Service, U.S. Department of Agriculture, Foreign Animal Disease Research Unit, Orient, NY 11957, USA.
Douglas P GladuePlum Island Animal Disease Center, Agricultural Research Service, U.S. Department of Agriculture, Foreign Animal Disease Research Unit, Orient, NY 11957, USA.ORCID 0000-0002-7894-0233
Agricultural Research Service · USCanadian Food Inspection Agency · CAOak Ridge Associated Universities · USMakerere University · UG

Funding

Foundation for Food and Agriculture 21-000064National Pork Board 21-137
6 · The paper itself

Abstract

The African swine fever virus (ASFV) is currently causing a world-wide pandemic of a highly lethal disease in domestic swine and wild boar. Currently, recombinant ASF live-attenuated vaccines based on a genotype II virus strain are commercially available in Vietnam. With 25 reported ASFV genotypes in the literature, it is important to understand the molecular basis and usefulness of ASFV genotyping, as well as the true significance of genotypes in the epidemiology, transmission, evolution, control, and prevention of ASFV. Historically, genotyping of ASFV was used for the epidemiological tracking of the disease and was based on the analysis of small fragments that represent less than 1% of the viral genome. The predominant method for genotyping ASFV relies on the sequencing of a fragment within the gene encoding the structural p72 protein. Genotype assignment has been accomplished through automated phylogenetic trees or by comparing the target sequence to the most closely related genotyped p72 gene. To evaluate its appropriateness for the classification of genotypes by p72, we reanalyzed all available genomic data for ASFV. We conclude that the majority of p72-based genotypes, when initially created, were neither identified under any specific methodological criteria nor correctly compared with the already existing ASFV genotypes. Based on our analysis of the p72 protein sequences, we propose that the current twenty-five genotypes, created exclusively based on the p72 sequence, should be reduced to only six genotypes. To help differentiate between the new and old genotype classification systems, we propose that Arabic numerals (1, 2, 8, 9, 15, and 23) be used instead of the previously used Roman numerals. Furthermore, we discuss the usefulness of genotyping ASFV isolates based only on the p72 gene sequence.

Indexed as

African Swine FeverAfrican Swine Fever VirusAnimalsGenotypePhylogenySequence AnalysisSus scrofaSwineAfrican swine feverASFVgenotypep72

Identifiers

PMID38005923
PMCPMC10675559
OpenAlexW4388636993

What OpenQuestion holds

Textmetadata
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.