Evidence map›Paper›PMID 40128646›Full record

ArticleBMC genomics2025

Application of genomic tools to study and potentially improve the upper thermal tolerance of farmed Atlantic salmon (Salmo salar).

Eric H Ignatz, Melissa S Allen, Jennifer R Hall, Rebeccah M Sandrelli, Mark D Fast, Guy M L Perry, Matthew L Rise, A Kurt Gamperl

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Eric H IgnatzDepartment of Ocean Sciences, Memorial University of Newfoundland and Labrador, St. John's, NL, A1C 5S7, Canada. eric.ignatz@dal.ca.
Melissa S AllenCenter for Aquaculture Technologies, San Diego, CA, 92121, USA.
Jennifer R HallAquatic Research Cluster, Ocean Sciences Centre, CREAIT Network, Memorial University of Newfoundland and Labrador, St. John's, NL, A1C 5S7, Canada.
Rebeccah M SandrelliDepartment of Ocean Sciences, Memorial University of Newfoundland and Labrador, St. John's, NL, A1C 5S7, Canada.
Mark D FastAtlantic Veterinary College, University of Prince Edward Island, CIA 4P3, Charlottetown, PE, Canada.
Guy M L PerryAquaBounty Canada, Fortune, PE, C0A 2B0, Canada.
Matthew L RiseDepartment of Ocean Sciences, Memorial University of Newfoundland and Labrador, St. John's, NL, A1C 5S7, Canada.
A Kurt GamperlDepartment of Ocean Sciences, Memorial University of Newfoundland and Labrador, St. John's, NL, A1C 5S7, Canada. kgamperl@mun.ca.

Funding

Atlantic Canada Opportunities Agency 781- 9658-205222Innovate NL 5404-1209-104Natural Sciences and Engineering Research Council of Canada 2020-04519
6 · The paper itself

Abstract

backgroundThe Atlantic salmon (Salmo salar) aquaculture industry must mitigate the impacts of rising ocean temperatures and the increased prevalence/severity of marine heat waves. Therefore, we investigated the genetic architecture and gene expression (transcriptomics) responsible for determining a salmon's upper thermal tolerance.

resultsA genome-wide association study (GWAS) was conducted using fin clips of salmon from a previous incremental thermal maximum (IT

conclusionsThese analyses provide several putative biomarkers of upper thermal tolerance in salmon that could prove valuable in helping the industry develop more temperature-tolerant fish. Further, our study supports previous reports that IT

Indexed as

GenomicsSalmo salarThermotoleranceAnimalsAquacultureGene Expression ProfilingGenome-Wide Association StudyPolymorphism, Single NucleotideTranscriptomeAquacultureClimate changeGrowthGWASHeat toleranceRNA-Seq

Identifiers

PMID40128646
PMCPMC11934803

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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.