Evidence map›Paper›PMID 42129920›Full record

ArticleVeterinary research2026

Comprehensive molecular profiling of the African swine fever virus in Korean wild boars between 2019 and 2024.

Garam Kim, Sungiin Ji, Sua Choi, Seungmin Lim, HanTer Choi, Moon Jeong, Seondong Park, Weon-Hwa Jheong

Abstract read
In one paragraph

Article in Veterinary research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

8 authors.

Garam KimWildlife Disease Response Team, National Institute of Wildlife Disease Control and Prevention (NIWDC), 1 Songam-Gil, Gwangsan-Gu, Gwangju, Republic of Korea.ORCID http://orcid.org/0009-0002-4297-2257
Sungiin JiWildlife Disease Response Team, National Institute of Wildlife Disease Control and Prevention (NIWDC), 1 Songam-Gil, Gwangsan-Gu, Gwangju, Republic of Korea.ORCID http://orcid.org/0009-0005-2781-5423
Sua ChoiWildlife Disease Response Team, National Institute of Wildlife Disease Control and Prevention (NIWDC), 1 Songam-Gil, Gwangsan-Gu, Gwangju, Republic of Korea.ORCID http://orcid.org/0009-0001-7936-8275
Seungmin LimWildlife Disease Response Team, National Institute of Wildlife Disease Control and Prevention (NIWDC), 1 Songam-Gil, Gwangsan-Gu, Gwangju, Republic of Korea.ORCID http://orcid.org/0009-0000-1362-1306
HanTer ChoiWildlife Disease Response Team, National Institute of Wildlife Disease Control and Prevention (NIWDC), 1 Songam-Gil, Gwangsan-Gu, Gwangju, Republic of Korea.ORCID http://orcid.org/0009-0000-5326-1608
Moon JeongWildlife Disease Response Team, National Institute of Wildlife Disease Control and Prevention (NIWDC), 1 Songam-Gil, Gwangsan-Gu, Gwangju, Republic of Korea.ORCID http://orcid.org/0009-0006-4330-206X
Seondong ParkWildlife Disease Response Team, National Institute of Wildlife Disease Control and Prevention (NIWDC), 1 Songam-Gil, Gwangsan-Gu, Gwangju, Republic of Korea.ORCID http://orcid.org/0009-0002-9832-8452
Weon-Hwa JheongWildlife Disease Response Team, National Institute of Wildlife Disease Control and Prevention (NIWDC), 1 Songam-Gil, Gwangsan-Gu, Gwangju, Republic of Korea. purify@korea.kr.ORCID http://orcid.org/0000-0001-8752-607X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African swine fever (ASF), caused by the African swine fever virus (ASFV), is a lethal transboundary disease. Since its first detection in South Korea in 2019, ASFV has continuously infected wild boars, imposing major economic and ecological burdens. We investigated ASFV genetic diversity and transmission dynamics by analyzing 4,209 ASFV-positive wild boar samples collected between 2019 and 2024 using a multi-marker approach, including B646L (p72), the intergenic region (IGR) between I73R/I329L, MGF 360-1La, and MGF 505-9R/10R. All isolates were classified as Genotype II by p72 analysis. IGR II was predominant, while one case of IGR I and three of IGR III were detected in 2019-2020. IGR III reappeared in 2023 and increased in 2024. The Korean-specific MGF 360-1La mutation (L106P) emerged in 2020, peaked in 2021, and persisted thereafter at a low frequency. A shift in the MGF 505-9R/10R profile was observed: MGF-1 dominated until 2020, whereas MGF-5 emerged in 2021 and became predominant in 2024. Accordingly, ASFV strains were classified into six clusters with distinct spatial distributions and transmission trajectories. Cluster 1 represented the initial incursion and early spread, and two minor subclusters (1.1 and 1.2) were detected early on; Cluster 2 remained localized, Cluster 3 expanded southeastward and is emerging as dominant, and Cluster 4 was confined to eastern Gyeongsangbuk-do. These findings suggest that although ASFV in Korea originated from a single Genotype II introduction, the detection of multiple lineages reflects viral diversification or additional incursions. Continuous molecular surveillance using genetic markers, complemented by whole-genome analyses, is essential for detecting early variants and developing effective ASF control strategies.

Indexed as

African Swine FeverAfrican Swine Fever VirusGenetic VariationSus scrofaAnimalsGenotypePhylogenyRepublic of KoreaSwineAfrican swine fever virusgenetic diversitymolecular epidemiologymulti-marker analysisSouth Koreatransmission dynamicswild boar

Identifiers

PMID42129920
PMCPMC13173816

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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.