Evidence map›Paper›PMID 40260146›Full record

ArticleEcology and evolution2025

Development of a Noninvasive Genotyping-In-Thousands (GTseq) Panel for Long-Term Conservation of Western Great Lakes Gray Wolves (

Samuel D Hervey, Bridgett M vonHoldt, Mark C Romanski, Tyler J Wheeldon, Brent R Patterson, Kristin E Brzeski

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Application of close-kin mark-recapture to an American black bear population using harvest samples.Ecological applications : a publication of the Ecological Society of America · 2026
    Article
  2. 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

6 authors.

Samuel D HerveyCollege of Forest Resources and Environmental Sciences Michigan Technological University Houghton Michigan USA.ORCID https://orcid.org/0000-0003-3496-6957
Bridgett M vonHoldtDepartment of Ecology and Evolutionary Biology Princeton University Princeton New Jersey USA.ORCID https://orcid.org/0000-0001-6908-1687
Mark C RomanskiIsle Royale National Park National Park Service Houghton Michigan USA.ORCID https://orcid.org/0000-0001-7079-0579
Tyler J WheeldonWildlife Research and Monitoring Section Ontario Ministry of Natural Resources Peterborough Ontario USA.ORCID https://orcid.org/0000-0002-3794-3702
Brent R PattersonWildlife Research and Monitoring Section Ontario Ministry of Natural Resources Peterborough Ontario USA.ORCID https://orcid.org/0000-0002-0252-0654
Kristin E BrzeskiCollege of Forest Resources and Environmental Sciences Michigan Technological University Houghton Michigan USA.ORCID https://orcid.org/0000-0002-5104-3719

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of noninvasive genetic methods toward the field of conservation has increased our understanding of many wildlife populations that are difficult to sample, allowing for better management. In molecular ecology, the use of noninvasive sampling became widely feasible with the advent of microsatellites, a highly polymorphic, short-length marker that could be genotyped from low-quality DNA sources. Despite decades of use, many microsatellite panels continue to suffer from high genotyping error rates, allelic dropout, and limited reproducibility across laboratories. To address these issues, single nucleotide polymorphisms (SNPs) offer advantages such as lower genotyping error rates, avoidance of allelic dropout due to consistent allele length, and automated calling through bioinformatic pipelines, reducing human subjectivity and error. Given the advantages SNPs provide relative to microsatellites as a molecular marker, the use of SNP panels and specifically, the method of genotyping-in-thousands by sequencing (GTseq) has gained popularity. Here, we developed a GTseq panel for western Great Lakes canids comprised of 196 loci, capable of species identification, accurately inferring sex (97.2%), identifying unique individuals (probability of identity = 6.71e

Indexed as

CanisGTseqmicrohaplotypemonitoringnoninvasiveSNP

Identifiers

PMID40260146
PMCPMC12011451

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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.