Evidence map›Paper›PMID 35007402›Full record

ArticleMolecular ecology resources2022

Genotyping-in-thousands by sequencing (GT-seq) of noninvasive faecal and degraded samples: A new panel to enable ongoing monitoring of Canadian polar bear populations.

Kristen M Hayward, Rute B G Clemente-Carvalho, Evelyn L Jensen, Peter V C de Groot, Marsha Branigan, Markus Dyck, Christina Tschritter, Zhengxin Sun, Stephen C Lougheed

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology resources, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
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

29 citing papers in PubMed, 37 citations in OpenAlex.

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  7. A Practical Framework for GT-Seq Panel Optimization.Molecular ecology resources · 2026
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  9. Ecology and evolution · 2026
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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

9 authors at 5 institutions in 2 countries.

Kristen M HaywardDepartment of Biology, Queen's University, Kingston, Ontario, Canada.ORCID https://orcid.org/0000-0002-2466-4587
Rute B G Clemente-CarvalhoHakai Institute, Campbell River, British Columbia, Canada.
Evelyn L JensenSchool of Natural and Environmental Sciences, Newcastle University, Newcastle, UK.ORCID https://orcid.org/0000-0002-1819-3117
Peter V C de GrootDepartment of Biology, Queen's University, Kingston, Ontario, Canada.
Marsha BraniganDepartment of Environment and Natural Resources, Government of the Northwest Territories, Inuvik, Northwest Territories, Canada.
Markus DyckDepartment of Environment, Government of Nunavut, Igloolik, Nunavut, Canada.
Christina TschritterDepartment of Biology, Queen's University, Kingston, Ontario, Canada.
Zhengxin SunDepartment of Biology, Queen's University, Kingston, Ontario, Canada.
Stephen C LougheedDepartment of Biology, Queen's University, Kingston, Ontario, Canada.ORCID https://orcid.org/0000-0003-1466-3668
Queen's University · CAGovernment of Northwest Territories · CAGovernment of Nunavut · CAHakai InstituteNewcastle University · GB

Funding

Genome Canada OGI-123
6 · The paper itself

Abstract

Genetic monitoring using noninvasive samples provides a complement or alternative to traditional population monitoring methods. However, next-generation sequencing approaches to monitoring typically require high quality DNA and the use of noninvasive samples (e.g., scat) is often challenged by poor DNA quality and contamination by nontarget species. One promising solution is a highly multiplexed sequencing approach called genotyping-in-thousands by sequencing (GT-seq), which can enable cost-efficient genomics-based monitoring for populations based on noninvasively collected samples. Here, we develop and validate a GT-seq panel of 324 single nucleotide polymorphisms (SNPs) optimized for genotyping of polar bears based on DNA from noninvasively collected faecal samples. We demonstrate (1) successful GT-seq genotyping of DNA from a range of sample sources, including successful genotyping (>50% loci) of 62.9% of noninvasively collected faecal samples determined to contain polar bear DNA; and (2) that we can reliably differentiate individuals, ascertain sex, assess relatedness, and resolve population structure of Canadian polar bear subpopulations based on a GT-seq panel of 324 SNPs. Our GT-seq data reveal spatial-genetic patterns similar to previous polar bear studies but at lesser cost per sample and through use of noninvasively collected samples, indicating the potential of this approach for population monitoring. This GT-seq panel provides the foundation for a noninvasive toolkit for polar bear monitoring and can contribute to community-based programmes - a framework which may serve as a model for wildlife conservation and management for species worldwide.

Indexed as

Genotyping TechniquesUrsidaeAnimalsCanadaDNAGenotypeDNAfaecalGT-seqmonitoringnoninvasivepolar bear

Identifiers

PMID35007402
PMCPMC9305793
OpenAlexW4205461845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.