PSVIII-22 Genome-wide association studies for immune response and resilience to Aleutian disease in mink
Notice bibliographique
Résumé
Abstract Aleutian disease (AD) is a severe health issue for the mink industry, causing increased mortality and adversely impacting several economically important traits, resulting in substantial economic losses. AD has been characterized as an immune complex disease, which indicates that the greater concentrations of anti-AMDV antibodies produced more harmful to the host. Resilience is defined as the ability the animals have to maintain their performance under exposure to disease-causing agents and disruptions. The phenotypic selection of AD-resilient mink based on immune response and/or indicator traits is practiced by some mink farms, but the genetic architecture of immune response and resilience to AD has not been widely explored. In this study, mink (n = 1,411) from the Canadian Centre for Fur Animal Research (Truro, Nova Scotia, Canada), which is an AD-positive facility, were used to detect potential genomic regions and genes related to immune response and feed-intake-related resilience of mink to AD through genome-wide association studies (GWAS) analyses. The studied individuals were genotyped using the Axiom Affymetrix Mink 70K single nucleotide polymorphism (SNP) panel. The studied phenotypes included two immune response traits measured by antigen-based enzyme-linked immunosorbent assay (ELISA-G) and iodine agglutination test (IAT) and two feed-intake-related resilience traits measured by the daily variation in feed intake (Varf) and proportion of off-feed d (DOF). The de-regressed breeding values were derived from the estimated breeding values for each trait and utilized as pseudo-phenotypes to perform GWAS analyses using a single SNP univariate mixed linear animal model in SNP1101 software. A total of 17 significant [false-discovery-rate-adjusted-p-value (q) < 0.01] SNPs were detected to be associated with ELISA-G, and 141 genes were annotated from the detected SNPs. Among all the annotated genes, three genes, MPIG6B, RUNX2, and C4A, were found to have important roles in immune-mediated responses to AD. Eight SNPs were detected to be significantly associated with IAT, and 44 genes were annotated from these eight SNPs. Two (TNFRSF11A and C4A) of the 44 genes were involved in the immune system process. For DOF, seven significant associated SNPs were detected, and 42 genes were annotated from these SNPs. Two annotated genes, ADCY7 and CNDP2, were related to feed intake or appetite. Five significant (q < 0.05) overrepresented gene ontology enrichment terms, including TAP complex, Classical-complement-pathway C3/C5 convertase complex, MHC class I peptide loading complex, extracellular region, and ABC-type peptide transporter activity, were detected for ELISA-G, and they have important roles in the adaptive immune response or complement system. The newly detected significant SNPs and identified candidate genes in this study would provide a better understanding of the genetic architecture and biological mechanisms underlying AD resilience in mink, which offers an opportunity for increasing the resilience of mink to AD using marker-assisted/genomic selection in mink.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».