Evidence map›Paper›PMID 40924947›Full record

ArticleMicrobial genomics2025

ANASFV: a workflow for African swine fever virus whole-genome analysis.

Ke Li, Xu Han, Yanwen Shao, Xinyao Wu, Xiaomin Zhao, Edgar Wayne Johnson, Runsheng Li

Abstract read
In one paragraph

Article in Microbial genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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.

Ke LiDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, PR China.
Xu HanAnimal Husbandry & Veterinary Station, Beijing SanYuan Group, Ltd, Beijing, PR China.
Yanwen ShaoDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, PR China.
Xinyao WuDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, PR China.
Xiaomin ZhaoCollege of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, PR China.
Edgar Wayne JohnsonEnable Agricultural Technology Consulting, Ltd, Beijing, PR China.
Runsheng LiDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African swine fever virus (ASFV) is highly transmissible and can cause up to 100% mortality in pigs. The virus has spread across most regions of Asia and Europe, resulting in the deaths of millions of pigs. A deep understanding of the genetic diversity and evolutionary dynamics of ASFV is necessary to effectively manage outbreaks. Genetic analysis of the ASFV requires sequencing and assembling its genome. Nanopore sequencing is increasingly used for ASFV analysis due to advantages such as long reads and portability. However, applying nanopore sequencing to ASFV genomes faces challenges, notably a higher error rate. Additionally, there is a lack of standardized methods for evaluating genome quality. Furthermore, an increasing number of recombinant isolates between genotypes I and II have been observed, complicating phylogenetic analysis. To overcome these obstacles, we developed ANASFV (analysis of an ASFV whole genome), a comprehensive pipeline that accomplishes four main tasks. First, the pipeline introduces an amplicon sequencing approach that significantly improves genomic coverage, enabling reliable genome assembly, and employs reference-aided polishing techniques to correct small indels caused by nanopore sequencing errors. Second, it establishes a system to provide a relative reference for assessing genome quality in terms of both completeness and accuracy of the assembled genomes. We found that almost all ASFV genomes based solely on nanopore sequencing in the NCBI were of poor quality, which improved significantly after reference-aided polishing. Third, the pipeline introduces a method to rapidly analyse whether an isolate is a recombinant between genotypes I and II, as well as to determine the pattern of recombination based on gene similarity. We identified 11 recombinant ASFV genotypes I and II in the NCBI. Lastly, a comprehensive phylogenetic analysis based on coding sequences was conducted, allowing researchers to generate a refined phylogenetic tree that includes all known ASFV genomes. The ANASFV pipeline facilitates ASFV whole-genome sequencing using the nanopore platform and supports robust downstream bioinformatic analyses by assessing gene completeness and conducting detailed phylogenetic studies based on whole-genome data.

Indexed as

African Swine Fever VirusGenome, ViralWhole Genome SequencingAfrican Swine FeverAnimalsGenotypeNanopore SequencingPhylogenySwineWorkflowAfrican swine fever virus (ASFV)genome assemblygenome polishinggenome QCnanopore sequencing

Identifiers

PMID40924947
PMCPMC12452174

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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.