Genetic × environment variation in sheep lines bred for divergent resistance to strongyle infection - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue Evolutionary Applications Année : 2021

Genetic × environment variation in sheep lines bred for divergent resistance to strongyle infection

Résumé

Drug-resistant parasites threaten livestock production. Breeding more resistant hosts could be a sustainable control strategy. Environmental variation linked to animal management practices or to parasite species turnover across farms may however alter the expression of genetic potential. We created sheep lines with high or low resistance to Haemonchus contortus and achieved significant divergence on both phenotypic and genetic scales. We exposed both lines to chronic stress or to the infection by another parasite Trichostrongylus colubriformis, to test for genotype-by-environment and genotype-by-parasite species interactions respectively. Between-line divergence remained significant following chronic stress exposure although between-family variation was found. Significant genotype-by-parasite interaction was found although H. contortus-resistant lambs remained more resistant against T. colubriformis. Growth curves were not altered by the selection process although resistant lambs were lighter after the second round of divergence, before any infection took place. Breeding for resistance is a sustainable strategy but allowance needs to be made for environmental perturbations and worm species.
Fichier principal
Vignette du fichier
eva.09.2021.pdf (1.78 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03352619 , version 1 (23-09-2021)

Licence

Paternité

Identifiants

Citer

Guillaume Salle, Véronique Deiss, Céline Marquis, Gwenola Tosser-Klopp, Jacques Cortet, et al.. Genetic × environment variation in sheep lines bred for divergent resistance to strongyle infection. Evolutionary Applications, 2021, 14 (11), pp.2591-2602. ⟨10.1111/eva.13294⟩. ⟨hal-03352619⟩
82 Consultations
73 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More