Evidence map›Paper›PMID 41902310›Full record

ArticleMolecular ecology resources2026

GT-Seq Panel Development for Species Identification and Parentage Analysis of Closely Related Hybridising Scaphirhynchus Sturgeons.

Junman Huang, Richard Flamio, Nathan R Campbell, Aaron J DeLonay, Amy C Buhman, Edward J Heist

Abstract readEvaluation Study
In one paragraph

Article in Molecular ecology resources, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Junman HuangSchool of Biological Sciences, Southern Illinois University Carbondale, Carbondale, Illinois, USA.ORCID https://orcid.org/0009-0000-7981-5074
Richard FlamioSchool of Biological Sciences, Southern Illinois University Carbondale, Carbondale, Illinois, USA.ORCID https://orcid.org/0000-0001-9204-7487
Nathan R CampbellGTseek LLC, Twin Falls, Idaho, USA.
Aaron J DeLonayU.S. Geological Survey, Columbia Environmental Research Center, Columbia, Missouri, USA.ORCID https://orcid.org/0000-0002-3752-2799
Amy C BuhmanSchool of Biological Sciences, Southern Illinois University Carbondale, Carbondale, Illinois, USA.
Edward J HeistSchool of Biological Sciences, Southern Illinois University Carbondale, Carbondale, Illinois, USA.

Funding

Missouri Department of ConservationPlatte River Recovery Implementation ProgramSouthern Illinois UniversityU.S. Army Corps of Engineers W912HZ-22-2-0006U.S. Fish and Wildlife ServiceU.S. Geological Survey
6 · The paper itself

Abstract

Hatchery supplementation is vital for conserving dwindling fish populations. Effective augmentation requires distinguishing hatchery-origin from wild individuals and accurately identifying species, particularly in systems where closely related species coexist. Genetic monitoring is key to quantifying genetic differences, but conventional markers do not distinguish hybrids, especially backcrosses. Misidentifying hybrids in hatchery programs compromises wild gene pools because hatchery broodstock contributes to numerous offspring being released into the wild. Here, we present a workflow for developing and evaluating the Genotyping-in-Thousands by sequencing (GT-seq) single nucleotide polymorphism (SNP) panel for North American river sturgeons (Scaphirhynchus spp.). This panel is designed to detect complex hybrid classes and to determine parent-offspring relationships. Our species identification panel (S-loci) contains 155 SNPs selected for high genetic differentiation (F

Indexed as

FishesGenotyping TechniquesHigh-Throughput Nucleotide SequencingHybridization, GeneticPolymorphism, Single NucleotideAnimalsSequence Analysis, DNAconservation geneticshigh‐throughput sequencingintrogressive hybridisationSNPspecies complex

Identifiers

PMID41902310
PMCPMC13031409

What OpenQuestion holds

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Registered trials

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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.