Evidence map›Paper›PMID 30445909›Full record

ArticleGenetics, selection, evolution : GSE2018

Quantitative trait loci for resistance to Flavobacterium psychrophilum in rainbow trout: effect of the mode of infection and evidence of epistatic interactions.

Clémence Fraslin, Nicolas Dechamp, Maria Bernard, Francine Krieg, Caroline Hervet, René Guyomard, Diane Esquerré, Johanna Barbieri, Claire Kuchly, Eric Duchaud and 4 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Application of selection Index for enhancing resistance toFrontiers in veterinary science · 2025
    Article
  5. Age-Dependent Growth-Related QTL Variations in Pacific Abalone,International journal of molecular sciences · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. A Major QTL for Resistance toFrontiers in genetics · 2020
    Article
  14. Article
  15. Review
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 1 country.

Clémence FraslinGABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Nicolas DechampGABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Maria BernardGABI, SIGENAE, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Francine KriegGABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Caroline HervetGABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
René GuyomardGABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Diane EsquerréGeT-PlaGe, Genotoul, INRA US1426, 31320, Castanet-Tolosan Cedex, France.
Johanna BarbieriGeT-PlaGe, Genotoul, INRA US1426, 31320, Castanet-Tolosan Cedex, France.
Claire KuchlyGeT-PlaGe, Genotoul, INRA US1426, 31320, Castanet-Tolosan Cedex, France.
Eric DuchaudVirologie et Immunologie Moléculaires, INRA, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Pierre BoudinotVirologie et Immunologie Moléculaires, INRA, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Tatiana RochatVirologie et Immunologie Moléculaires, INRA, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Jean-François BernardetVirologie et Immunologie Moléculaires, INRA, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Edwige QuilletGABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France. edwige.quillet@inra.fr.
Université Paris-Saclay · FRAgroParisTech · FRGénétique Physiologie et Systèmes d'Elevage · FRUniversité Bretagne Loire · FRVirologie et Immunologie Moléculaires · FR

Funding

Agence Nationale de la Recherche ANR-10-INBS-09Cifre ANRT-SYSAAF 2015/0778Fonds Unique Interministériel 15e appel à projet : projet RE-SISTFP7 Ideas: European Research Council 262336
6 · The paper itself

Abstract

backgroundBacterial cold-water disease, which is caused by Flavobacterium psychrophilum, is one of the major diseases that affect rainbow trout (Oncorhynchus mykiss) and a primary concern for trout farming. Better knowledge of the genetic basis of resistance to F. psychrophilum would help to implement this trait in selection schemes and to investigate the immune mechanisms associated with resistance. Various studies have revealed that skin and mucus may contribute to response to infection. However, previous quantitative trait loci (QTL) studies were conducted by using injection as the route of infection. Immersion challenge, which is assumed to mimic natural infection by F. psychrophilum more closely, may reveal different defence mechanisms.

resultsTwo isogenic lines of rainbow trout with contrasting susceptibilities to F. psychrophilum were crossed to produce doubled haploid F2 progeny. Fish were infected with F. psychrophilum either by intramuscular injection (115 individuals) or by immersion (195 individuals), and genotyped for 9654 markers using RAD-sequencing. Fifteen QTL associated with resistance traits were detected and only three QTL were common between the injection and immersion. Using a model that accounted for epistatic interactions between QTL, two main types of interactions were revealed. A "compensation-like" effect was detected between several pairs of QTL for the two modes of infection. An "enhancing-like" interaction effect was detected between four pairs of QTL. Integration of the QTL results with results of a previous transcriptomic analysis of response to F. psychrophilum infection resulted in a list of potential candidate immune genes that belong to four relevant functional categories (bacterial sensors, effectors of antibacterial immunity, inflammatory factors and interferon-stimulated genes).

conclusionsThese results provide new insights into the genetic determinism of rainbow trout resistance to F. psychrophilum and confirm that some QTL with large effects are involved in this trait. For the first time, the role of epistatic interactions between resistance-associated QTL was evidenced. We found that the infection protocol used had an effect on the modulation of defence mechanisms and also identified relevant immune functional candidate genes.

Indexed as

Oncorhynchus mykissQuantitative Trait LociAnimalsDisease ResistanceFemaleFish DiseasesFlavobacteriaceae InfectionsFlavobacteriumGenotypeMalePhenotypePolymorphism, Single Nucleotide

Identifiers

PMID30445909
PMCPMC6240304
OpenAlexW2901173594

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.