Evidence map›Paper›PMID 36532137›Full record

ArticleEcology and evolution2022

A new GTSeq resource to facilitate multijurisdictional research and management of walleye

Peter T Euclide, Wesley A Larson, Matthew Bootsma, Loren M Miller, Kim T Scribner, Wendylee Stott, Chris C Wilson, Emily K Latch

Abstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. A Practical Framework for GT-Seq Panel Optimization.Molecular ecology resources · 2026
    Article
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  6. Article
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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.

Peter T EuclideDepartment of Forestry and Natural Resources Purdue University West Lafayette Indiana USA.ORCID https://orcid.org/0000-0002-1212-0435
Wesley A LarsonCollege of Natural Resources University of Wisconsin-Stevens Point Stevens Point Wisconsin USA.ORCID https://orcid.org/0000-0003-4473-3401
Matthew BootsmaCollege of Natural Resources University of Wisconsin-Stevens Point Stevens Point Wisconsin USA.ORCID https://orcid.org/0000-0003-0879-5066
Loren M MillerMinnesota Department of Natural Resources St. Paul Minnesota USA.ORCID https://orcid.org/0000-0002-5482-2152
Kim T ScribnerDepartment of Fish and Wildlife Department of Integrative Biology Michigan State University East Lansing Michigan USA.ORCID https://orcid.org/0000-0003-3416-2828
Wendylee StottDepartment of Fisheries and Oceans, Artic and Aquatic Research Division Winnipeg Manitoba Canada.ORCID https://orcid.org/0000-0002-5252-4901
Chris C WilsonOntario Ministry of Natural Resources and Forestry Trent University Peterborough Ontario Canada.ORCID https://orcid.org/0000-0002-9528-0652
Emily K LatchDepartment of Biological Sciences University of Wisconsin-Milwaukee Milwaukee Wisconsin USA.ORCID https://orcid.org/0000-0002-9892-1056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conservation and management professionals often work across jurisdictional boundaries to identify broad ecological patterns. These collaborations help to protect populations whose distributions span political borders. One common limitation to multijurisdictional collaboration is consistency in data recording and reporting. This limitation can impact genetic research, which relies on data about specific markers in an organism's genome. Incomplete overlap of markers between separate studies can prevent direct comparisons of results. Standardized marker panels can reduce the impact of this issue and provide a common starting place for new research. Genotyping-in-thousands (GTSeq) is one approach used to create standardized marker panels for nonmodel organisms. Here, we describe the development, optimization, and early assessments of a new GTSeq panel for use with walleye (

Indexed as

amplicon sequencingfisheriesGreat LakesGTSeqmarker panelmixed‐stock assignmentRAD capture

Identifiers

PMID36532137
PMCPMC9750844

What OpenQuestion holds

Textmetadata
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.