Evidence map›Paper›PMID 37584304›Full record

ArticleMolecular ecology resources2025

A new genomic resource to enable standardized surveys of SNPs across the native range of brook trout (Salvelinus fontinalis).

Nadya R Mamoozadeh, Andrew R Whiteley, Benjamin H Letcher, David C Kazyak, Charlene Tarsa, Mariah H Meek

Abstract read
In one paragraph

Article in Molecular ecology resources, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Nadya R MamoozadehDepartment of Integrative Biology, Program in Ecology, Evolution, and Behavior, Michigan State University, Michigan, East Lansing, USA.ORCID https://orcid.org/0000-0003-1250-775X
Andrew R WhiteleyW.A. Franke College of Forestry and Conservation, Wildlife Biology Program, University of Montana, Missoula, Montana, USA.
Benjamin H LetcherU.S. Geological Survey, Eastern Ecological Science Center, Turners Falls, Massachusetts, USA.
David C KazyakU.S. Geological Survey, Eastern Ecological Science Center, Kearneysville, West Virginia, USA.
Charlene TarsaDepartment of Integrative Biology, Program in Ecology, Evolution, and Behavior, Michigan State University, Michigan, East Lansing, USA.
Mariah H MeekDepartment of Integrative Biology, Program in Ecology, Evolution, and Behavior, Michigan State University, Michigan, East Lansing, USA.ORCID https://orcid.org/0000-0002-3219-4888

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how genetic diversity is distributed across spatiotemporal scales in species of conservation or management concern is critical for identifying large-scale mechanisms affecting local conservation status and implementing large-scale biodiversity monitoring programmes. However, cross-scale surveys of genetic diversity are often impractical within single studies, and combining datasets to increase spatiotemporal coverage is frequently impeded by using different sets of molecular markers. Recently developed molecular tools make surveys based on standardized single-nucleotide polymorphism (SNP) panels more feasible than ever, but require existing genomic information. Here, we conduct the first survey of genome-wide SNPs across the native range of brook trout (Salvelinus fontinalis), a cold-adapted species that has been the focus of considerable conservation and management effort across eastern North America. Our dataset can be leveraged to easily design SNP panels that allow datasets to be combined for large-scale analyses. We performed restriction site-associated DNA sequencing for wild brook trout from 82 locations spanning much of the native range and domestic brook trout from 24 hatchery strains used in stocking efforts. We identified over 24,000 SNPs distributed throughout the brook trout genome. We explored the ability of these SNPs to resolve relationships across spatial scales, including population structure and hatchery admixture. Our dataset captures a wide spectrum of genetic diversity in native brook trout, offering a valuable resource for developing SNP panels. We highlight potential applications of this resource with the goal of increasing the integration of genomic information into decision-making for brook trout and other species of conservation or management concern.

Indexed as

GenomeGenomicsPolymorphism, Single NucleotideTroutAnimalsGenetics, PopulationGenetic VariationNorth AmericaSequence Analysis, DNAconservation genomicsfisheries managementnative brook troutSNP panels

Identifiers

PMID37584304
PMCPMC12142713

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.