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

QTL mapping disease resistance fish fish isogenic lines functional assays host–pathogen interactions immunity transcriptomics

Journal

Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621

Informations de publication

Date de publication:
2020
Historique:
received: 06 03 2020
accepted: 02 06 2020
entrez: 6 8 2020
pubmed: 6 8 2020
medline: 6 8 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 32754193
doi: 10.3389/fgene.2020.00677
pmc: PMC7365936
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

677

Informations de copyright

Copyright © 2020 Fraslin, Quillet, Rochat, Dechamp, Bernardet, Collet, Lallias and Boudinot.

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Auteurs

Clémence Fraslin (C)

INRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, France.

Edwige Quillet (E)

INRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, France.

Tatiana Rochat (T)

INRAE, UVSQ, VIM, Université Paris-Saclay, Jouy-en-Josas, France.

Nicolas Dechamp (N)

INRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, France.

Jean-Francois Bernardet (JF)

INRAE, UVSQ, VIM, Université Paris-Saclay, Jouy-en-Josas, France.

Bertrand Collet (B)

INRAE, UVSQ, VIM, Université Paris-Saclay, Jouy-en-Josas, France.

Delphine Lallias (D)

INRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, France.

Pierre Boudinot (P)

INRAE, UVSQ, VIM, Université Paris-Saclay, Jouy-en-Josas, France.

Classifications MeSH