Evidence map›Paper›PMID 41258043›Full record

ArticleScientific reports2025

Development of a cost-effective, multifunctional SNP panel and analysis workflow for Wolf monitoring in Finland.

Jenni Harmoinen, Mia Valtonen, Daniel Fischer, Terhi Iso-Touru, Mikael Åkesson, Anne-Maarit Heikkinen, Katja Holmala, Ilpo Kojola, Elina Salmela, Maris Hindrikson and 5 more

Abstract read
PubMed Full text at PMC Publisher
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. Ecology and evolution · 2026
    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

15 authors.

Jenni HarmoinenWildlife Ecology Group, Natural Resources Institute Finland, Helsinki, Finland.ORCID http://orcid.org/0000-0001-5402-7127
Mia ValtonenWildlife Ecology Group, Natural Resources Institute Finland, Helsinki, Finland.ORCID https://orcid.org/0000-0003-2034-2019
Daniel FischerApplied Statistical Methods, Natural Resources Institute Finland, Jokioinen, Finland.ORCID http://orcid.org/0000-0002-7513-683X
Terhi Iso-TouruGenomics and Breeding group, Natural Resources Institute Finland, Jokioinen, Finland.ORCID http://orcid.org/0000-0001-8258-9047
Mikael ÅkessonDepartment of Ecology, Grimsö Wildlife Research Station, Swedish University of Agricultural Sciences, Riddarhyttan, 739 93, Sweden.ORCID http://orcid.org/0000-0002-4325-8840
Anne-Maarit HeikkinenEcology and Genetics Research Unit, University of Oulu, Oulu, Finland.
Katja HolmalaNatural Resources Institute Finland, Helsinki, Finland.ORCID http://orcid.org/0000-0002-1346-4475
Ilpo KojolaWildlife Ecology Group, Natural Resources Institute Finland, Rovaniemi, Finland.ORCID http://orcid.org/0000-0003-2866-5090
Elina SalmelaOrganismal and Evolutionary Biology Research Programme (OEB), University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0003-1326-4462
Maris HindriksonDepartment of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.ORCID http://orcid.org/0000-0001-8094-1860
Urmas SaarmaDepartment of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.ORCID http://orcid.org/0000-0002-3222-571X
Hannes LohiDepartment of Veterinary Biosciences, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0003-1087-5532
Laura KvistEcology and Genetics Research Unit, University of Oulu, Oulu, Finland.ORCID http://orcid.org/0000-0002-2108-0172
Jouni AspiEcology and Genetics Research Unit, University of Oulu, Oulu, Finland.ORCID http://orcid.org/0000-0002-2451-3201
Helena JohanssonGenomics and Breeding group, Natural Resources Institute Finland, Jokioinen, Finland. helena.johansson@luke.fi.ORCID http://orcid.org/0000-0002-8596-3345

Funding

Estonian Ministry of Education and Research grants PRG1209m PSG715 and TK215LIFE BOREALWOLF project LIFE18 NAT/FI/000394
6 · The paper itself

Abstract

Genetic monitoring is an essential tool for managing threatened or commercially valuable wildlife species. Ideally, genetic monitoring relies on straightforward protocols for genotyping and data handling, accommodates varying sample volumes, applies to non-invasive samples such as scat and hair, produces reliable and repeatable genotypes, and is cost-effective. Moreover, the marker panel itself should be tailored to specific species and/or population management information needs. We describe the development of a microarray-based 96-SNP panel specifically designed for non-invasive genetic monitoring of the Finnish wolf population. The panel was developed to meet four specific needs for this population: identification of wolf genotypes from the non-target species (fox, raccoon dog, golden jackal), sexing, individual identification, and kinship resolution. We demonstrate the utility of the SNP panel using a subset of the genetic monitoring data collected in 2022-2023, including an overview of the data analysis workflow. The development and successful application of this SNP panel, along with a comparison with similar studies in the field, provide valuable insights for researchers and conservationists aiming to implement similar strategies for other species.

Indexed as

Polymorphism, Single NucleotideWolvesAnimalsConservation of Natural ResourcesCost-Benefit AnalysisFinlandGenotypeMaleWorkflowGrey wolfMicrofluidic arrayMicrosatellitesNon-invasive samplesSingle-nucleotide polymorphismWildlife management

Identifiers

PMID41258043
PMCPMC12630743

What OpenQuestion holds

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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.