Evidence map›Paper›PMID 41408392›Full record

ArticleScientific reports2025

Genetic connectivity and admixture zones shape the spread of African swine fever in wild Boar populations in North-western Italy.

Arianna Meletiadis, Aitor Garcia-Vozmediano, Maria Vittoria Riina, Nicoletta Vitale, Matteo Riccardo Di Nicola, Cristiana Maurella, Manuele Massimino, Romolo Caniglia, Barbara Moroni, Annalisa Viani and 12 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

22 authors.

Arianna Meletiadis *Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.
Aitor Garcia-Vozmediano *Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy. aitor.garciavozmediano@izsplv.it.
Maria Vittoria RiinaIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.
Nicoletta VitaleIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.
Matteo Riccardo Di NicolaIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy. matteoriccardo.dinicola@izsplv.it.
Cristiana MaurellaIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.
Manuele MassiminoDepartment of Biology, Graduate School of Natural and Applied Sciences, Muğla Sıtkı Koçman University, Muğla, Turkey.
Romolo CanigliaDipartimento di Scienze Biologiche, Geologiche e Ambientali, Università degli Studi di Bologna, Piazza di Porta S.Donato 1, Bologna, Italy.
Barbara MoroniIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.
Annalisa VianiS.C. Sanità Animale, Azienda USL della Valle d'Aosta, Aosta, Italy.
Simona ZoppiIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.
Massimo BiagettiIstituto Zooprofilattico Sperimentale dell'Umbria e delle Marche-Togo Rosati (IZSUM), Via G. Salvemini 1, Perugia, 06124, Italy.
Maria Serena BeatoIstituto Zooprofilattico Sperimentale dell'Umbria e delle Marche-Togo Rosati (IZSUM), Via G. Salvemini 1, Perugia, 06124, Italy.
Maria GoriaIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.
Elisabetta RazzuoliIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.
Riccardo OrusaIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.
Angelo FerrariIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.
Francesco FelizianiIstituto Zooprofilattico Sperimentale dell'Umbria e delle Marche-Togo Rosati (IZSUM), Via G. Salvemini 1, Perugia, 06124, Italy.
Alessandro DondoIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.
Elena BozzettaIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.
Giuseppe RuIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.
Pier Luigi AcutisIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, Turin, Italy.

Funding

WOAH 2024 "ASF control: from theory to practice" D53C24001660005
6 · The paper itself

Abstract

Host population genetics can shape disease spread in wildlife, yet it is rarely integrated into epizootic investigations. To explore whether connectivity patterns in wild boar populations may have influenced the spread of African swine fever (ASF) in north-western Italy, we characterised the genetic structure of the local population. Microsatellite genotyping was performed on 578 wild boar sampled from 26 hunting districts across thirteen loci and analysed using Bayesian clustering, correspondence analysis and spatial PCA. In parallel, 2,414 ASF detections recorded between December 2021 and March 2025 were examined through retrospective spatiotemporal scan statistics and directional spread analysis. We identified two main genetic clusters, one largely corresponding to Piedmont and the other more prevalent in Liguria regions, with zones of admixture along their border and a connectivity corridor through the Ligurian Apennines. Over the 38-month period, 16 significant ASF clusters were detected. The outbreak spread eastward and north-eastward from the initial focus at the Liguria-Piedmont border. Four clusters showed significant directionality, and recurrent clustering in certain areas suggested local persistence. Notably, several ASF clusters overlapped with genetic admixture zones and connectivity hubs. Our findings suggest two mechanisms underpinning disease spread: short-range transmission within genetically related groups and longer-range movement along ecological corridors. Embedding genetic monitoring into routine surveillance may enhance the effectiveness of ASF control by guiding carcass removal, search efforts and spatial prioritisation toward high-risk transition zones.

Indexed as

African Swine FeverSus scrofaAfrican Swine Fever VirusAnimalsBayes TheoremDisease OutbreaksGenetics, PopulationGenetic VariationGenotypeItalyMicrosatellite RepeatsSwine

Identifiers

PMID41408392
PMCPMC12824347

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Registered trials

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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.