Evidence map›Paper›PMID 38770122›Full record

ArticleEcology and evolution2024

Development and validation of a GT-seq panel for genetic monitoring in a threatened species using minimally invasive sampling.

Molly J Garrett, Stacey A Nerkowski, Shannon Kieran, Nathan R Campbell, Soraia Barbosa, Courtney J Conway, Paul A Hohenlohe, Lisette P Waits

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. A Practical Framework for GT-Seq Panel Optimization.Molecular ecology resources · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

8 authors.

Molly J GarrettDepartment of Fish and Wildlife Sciences, College of Natural Resources University of Idaho Moscow Idaho USA.ORCID https://orcid.org/0000-0002-5757-7762
Stacey A NerkowskiDepartment of Fish and Wildlife Sciences, College of Natural Resources University of Idaho Moscow Idaho USA.
Shannon KieranDepartment of Fish and Wildlife Sciences, College of Natural Resources University of Idaho Moscow Idaho USA.ORCID https://orcid.org/0000-0002-2855-6487
Nathan R CampbellGTseek LLC Twin Falls Idaho USA.
Soraia BarbosaDepartment of Fish and Wildlife Sciences, College of Natural Resources University of Idaho Moscow Idaho USA.ORCID https://orcid.org/0000-0001-7806-4256
Courtney J ConwayU.S. Geological Survey, Idaho Cooperative Fish & Wildlife Research Unit University of Idaho Moscow Idaho USA.ORCID https://orcid.org/0000-0003-0492-2953
Paul A HohenloheDepartment of Biological Sciences, College of Science University of Idaho Moscow Idaho USA.ORCID https://orcid.org/0000-0002-7616-0161
Lisette P WaitsDepartment of Fish and Wildlife Sciences, College of Natural Resources University of Idaho Moscow Idaho USA.ORCID https://orcid.org/0000-0002-1323-0812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally invasive samples are often the best option for collecting genetic material from species of conservation concern, but they perform poorly in many genomic sequencing methods due to their tendency to yield low DNA quality and quantity. Genotyping-in-thousands by sequencing (GT-seq) is a powerful amplicon sequencing method that can genotype large numbers of variable-quality samples at a standardized set of single nucleotide polymorphism (SNP) loci. Here, we develop, optimize, and validate a GT-seq panel for the federally threatened northern Idaho ground squirrel (

Indexed as

conservation genomicsnorthern Idaho ground squirrelsingle nucleotide polymorphismsSNPstargeted amplicon sequencingUrocitellus brunneus

Identifiers

PMID38770122
PMCPMC11103765

What OpenQuestion holds

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LicenceCC BY
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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.