Evidence map›Paper›PMID 32754193›Full record

ReviewFrontiers in genetics2020

Combining Multiple Approaches and Models to Dissect the Genetic Architecture of Resistance to Infections in Fish.

Clémence Fraslin, Edwige Quillet, Tatiana Rochat, Nicolas Dechamp, Jean-Francois Bernardet, Bertrand Collet, Delphine Lallias, Pierre Boudinot

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  4. Unravelling turbot (Frontiers in immunology · 2024
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  8. Investigation of the GenusApplied and environmental microbiology · 2023
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  12. Review
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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.

Clémence FraslinINRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, France.
Edwige QuilletINRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, France.
Tatiana RochatINRAE, UVSQ, VIM, Université Paris-Saclay, Jouy-en-Josas, France.
Nicolas DechampINRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, France.
Jean-Francois BernardetINRAE, UVSQ, VIM, Université Paris-Saclay, Jouy-en-Josas, France.
Bertrand ColletINRAE, UVSQ, VIM, Université Paris-Saclay, Jouy-en-Josas, France.
Delphine LalliasINRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, France.
Pierre BoudinotINRAE, UVSQ, VIM, Université Paris-Saclay, Jouy-en-Josas, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases represent a major threat for the sustainable development of fish farming. Efficient vaccines are not available against all diseases, and growing antibiotics resistance limits the use of antimicrobial drugs in aquaculture. It is therefore important to understand the basis of fish natural resistance to infections to help genetic selection and to develop new approaches against infectious diseases. However, the identification of the main mechanisms determining the resistance or susceptibility of a host to a pathogenic microbe is challenging, integrating the complexity of the variation of host genetics, the variability of pathogens, and their capacity of fast evolution and adaptation. Multiple approaches have been used for this purpose: (i) genetic approaches, QTL (quantitative trait loci) mapping or GWAS (genome-wide association study) analysis, to dissect the genetic architecture of disease resistance, and (ii) transcriptomics and functional assays to link the genetic constitution of a fish to the molecular mechanisms involved in its interactions with pathogens. To date, many studies in a wide range of fish species have investigated the genetic determinism of resistance to many diseases using QTL mapping or GWAS analyses. A few of these studies pointed mainly toward adaptive mechanisms of resistance/susceptibility to infections; others pointed toward innate or intrinsic mechanisms. However, in the majority of studies, underlying mechanisms remain unknown. By comparing gene expression profiles between resistant and susceptible genetic backgrounds, transcriptomics studies have contributed to build a framework of gene pathways determining fish responsiveness to a number of pathogens. Adding functional assays to expression and genetic approaches has led to a better understanding of resistance mechanisms in some cases. The development of knock-out approaches will complement these analyses and help to validate putative candidate genes critical for resistance to infections. In this review, we highlight fish isogenic lines as a unique biological material to unravel the complexity of host response to different pathogens. In the future, combining multiple approaches will lead to a better understanding of the dynamics of interaction between the pathogen and the host immune response, and contribute to the identification of potential targets of selection for improved resistance.

Indexed as

disease resistancefishfish isogenic linesfunctional assayshost–pathogen interactionsimmunityQTL mappingtranscriptomics

Identifiers

PMID32754193
PMCPMC7365936

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.