Evidence map›Paper›PMID 42050596›Full record

ArticleVeterinary research2026

Tracking pathogen-related markers with eDNA in natural areas: how environmental factors shape surveillance strategies.

Alberto Perelló, Camilla Smoglica, Carlos González-Crespo, Marta Pérez-Sancho, David González-Barrio, Carmen Herranz, Alejandro Dashti, Sergio Sánchez, David Carmena, Amir Reza Varzandi and 4 more

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.

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

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

14 authors.

Alberto Perelló *SaBio, Instituto de Investigación en Recursos Cinegéticos (IREC) CSIC-UCLM-JCCM, 13071, Ciudad Real, Spain. albertoperellojimenez@gmail.com.ORCID http://orcid.org/0000-0001-6238-9048
Camilla Smoglica *Department of Veterinary Medicine, University of Teramo, 64100, Teramo, Italy.
Carlos González-CrespoCenter for Animal Disease Modeling and Surveillance, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA.
Marta Pérez-SanchoVISAVET Health Surveillance Center, Complutense University of Madrid, 28040, Madrid, Spain.
David González-BarrioParasitology Reference and Research Laboratory, Spanish National Centre for Microbiology, Madrid, Spain.
Carmen HerranzVISAVET Health Surveillance Center, Complutense University of Madrid, 28040, Madrid, Spain.
Alejandro DashtiParasitology Reference and Research Laboratory, Spanish National Centre for Microbiology, Madrid, Spain.
Sergio SánchezParasitology Reference and Research Laboratory, Spanish National Centre for Microbiology, Madrid, Spain.
David CarmenaParasitology Reference and Research Laboratory, Spanish National Centre for Microbiology, Madrid, Spain.
Amir Reza VarzandiDepartment of Veterinary Sciences, School of Agriculture and Veterinary Medicine, University of Turin, Turin, Piedmont, Italy.
Ezio FerroglioDepartment of Veterinary Sciences, School of Agriculture and Veterinary Medicine, University of Turin, Turin, Piedmont, Italy.
Lucas DomínguezVISAVET Health Surveillance Center, Complutense University of Madrid, 28040, Madrid, Spain.
Beatriz Martínez-LópezCenter for Animal Disease Modeling and Surveillance, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA.
Christian GortázarSaBio, Instituto de Investigación en Recursos Cinegéticos (IREC) CSIC-UCLM-JCCM, 13071, Ciudad Real, Spain. christian.gortazar@uclm.es.ORCID http://orcid.org/0000-0003-0012-4006

Funding

Junta de Comunidades de Castilla-La Mancha SBPLY/23/180225/000008Ministerio de Agricultura, Alimentación y Medio Ambiente 220418CONVMinisterio de Ciencia, Innovación y Universidades PID2024-159558OB-I00
6 · The paper itself

Abstract

The wildlife-livestock-environment interface is a complex system with implications for biodiversity and diseases. Environmental nucleic acid detection (ENAD) is a non-invasive method for monitoring DNA/RNA from microorganisms, meiofauna, and hosts. However, how environmental variables influence ENAD in heterogeneous geographic contexts remains poorly explored. In this study, 18 sites were evaluated in Iberian Peninsula, collecting 10 surface sponge samples per site and a total of 146 environmental fecal samples to investigate how environmental, mammal community and wildlife health variables may influence ENAD, using different pathogen-related markers as the study model. Differences in ENAD were assessed among sponge sampling methods and between sponge and fecal samples. The results show that environmental characteristics influence ENAD, at least for pathogen-related markers and at larger geographic scales. Greater pathogen marker diversity and richness was observed at higher latitudes. Most markers found in feces were also detectable in surface sponges. Combining different sponge sampling methodologies provided the best overall coverage of detectable environmental DNA. A predictive map linking ENAD in sponges to environmental factors was developed.

Indexed as

DNA, EnvironmentalEnvironmental MonitoringPoriferaAnimalsFecesPortugalSpainDNA, Environmentaldisease surveillanceEnvironmental DNAepisystemintegrated wildlife monitoringnatural areasnon-invasivezoonosis

Identifiers

PMID42050596
PMCPMC13214320

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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.