Evidence map›Paper›PMID 31881844›Full record

ArticleBMC genomics2019

Effect of growth rate on transcriptomic responses to immune stimulation in wild-type, domesticated, and GH-transgenic coho salmon.

Jin-Hyoung Kim, Daniel J Macqueen, James R Winton, John D Hansen, Hyun Park, Robert H Devlin

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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 at 6 institutions in 4 countries.

Jin-Hyoung KimFisheries and Oceans Canada, 4160 Marine Drive, West Vancouver, BC, V7V 1N6, Canada.
Daniel J MacqueenThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, EH25 9RG, UK.
James R WintonUS Geological Survey, Western Fisheries Research Center, 6505 NE 65th Street, Seattle, 98115, USA.
John D HansenUS Geological Survey, Western Fisheries Research Center, 6505 NE 65th Street, Seattle, 98115, USA.
Hyun ParkDivison of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Republic of Korea.
Robert H DevlinFisheries and Oceans Canada, 4160 Marine Drive, West Vancouver, BC, V7V 1N6, Canada. robert.devlin@dfo-mpo.gc.ca.
Fisheries and Oceans Canada · CAKorea Polar Research Institute · KRKorea University · KRNOAA National Marine Fisheries Service Northwest Fisheries Science Center · USRoslin Institute · GBWestern Fisheries Research Center

Funding

College of Medicine and Veterinary Medicine, University of Edinburgh BBS/E/D/10002071 and BBS/E/D/20002174Fisheries and Oceans Canada 61740Korea Polar Research Institute 19080
6 · The paper itself

Abstract

backgroundTranscriptomic responses to immune stimulation were investigated in coho salmon (Oncorhynchus kisutch) with distinct growth phenotypes. Wild-type fish were contrasted to strains with accelerated growth arising either from selective breeding (i.e. domestication) or genetic modification. Such distinct routes to accelerated growth may have unique implications for relationships and/or trade-offs between growth and immune function.

resultsRNA-Seq was performed on liver and head kidney in four 'growth response groups' injected with polyinosinic-polycytidylic acid (Poly I:C; viral mimic), peptidoglycan (PGN; bacterial mimic) or PBS (control). These groups were: 1) 'W': wild-type, 2) 'TF': growth hormone (GH) transgenic salmon with ~ 3-fold higher growth-rate than W, 3) 'TR': GH transgenic fish ration restricted to possess a growth-rate equal to W, and 4) 'D': domesticated non-transgenic fish showing growth-rate intermediate to W and TF. D and TF showed a higher similarity in transcriptomic response compared to W and TR. Several immune genes showed constitutive expression differences among growth response groups, including perforin 1 and C-C motif chemokine 19-like. Among the affected immune pathways, most were up-regulated by Poly I:C and PGN. In response to PGN, the c-type lectin receptor signalling pathway responded uniquely in TF and TR. In response to stimulation with both immune mimics, TR responded more strongly than other groups. Further, group-specific pathway responses to PGN stimulation included NOD-like receptor signalling in W and platelet activation in TR. TF consistently showed the most attenuated immune response relative to W, and more DEGs were apparent in TR than TF and D relative to W, suggesting that a non-satiating ration coupled with elevated circulating GH levels may cause TR to possess enhanced immune capabilities. Alternatively, TF and D salmon are prevented from acquiring the same level of immune response as TR due to direction of energy to high overall somatic growth. Further study of the effects of ration restriction in growth-modified fishes is warranted.

conclusionsThese findings improve our understanding of the pleiotropic effects of growth modification on the immunological responses of fish, revealing unique immune pathway responses depending on the mechanism of growth acceleration and nutritional availability.

Indexed as

TranscriptomeAnimalsAnimals, Genetically ModifiedBreedingComputational BiologyDomesticationGene Expression ProfilingGrowth HormoneImmunomodulationOncorhynchus kisutchOrgan SpecificityGrowth HormoneCoho salmonGrowthGrowth hormoneImmunityPGNPleiotropyPoly I:CSelective breedingTranscriptomicsTransgenesis

Identifiers

PMID31881844
PMCPMC6935076
OpenAlexW2997906114

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.