219 Identification of Functional Single Nucleotide Polymorphisms Responsible for Alternative Splicing Affecting Gastrointestinal Nematodes Resistance in Grazing Sheep
Notice bibliographique
Résumé
Abstract Sheep infected with gastrointestinal nematodes (GIN) can show weight loss, anemia, diarrhea, decrease appetite, and hypoproteinemia, which can sometimes lead to death. These signs of infection decrease productivity and cause economic losses. Economic losses can also be associated with treatment without efficacy due to GIN resistance to most anthelmintic classes. Combined approaches need to be used to reduce the reliance on anthelmintic as the only control method to GIN. The aim of this study is the identification of potential functional single nucleotide polymorphisms (SNPs) responsible for alternate splicing in Rideau X Dorset crossbred sheep with different immune profiles using RNA-Sequencing (RNA-Seq). Animals were exposed to GIN while grazing, after that those with the greatest and least gastrointestinal tract parasite burdens were selected for liver RNA extracting. These animals can be separated into groups of high (H; n = 5) and medium (M; n = 6) innate immune responses. In addition, liver RNA was extracted for GIN-unexposed control lambs (U; n = 4). RNA-Seq analysis was performed using the CLC genomics workbench software, version 20.0.4 (CLC Bio, Aarhus, Denmark). Quality control analyses, including guanine-cytosine (GC) content, ambiguous base content, Phred score, base coverage, nucleotide contributions, and over-represented sequences parameters, were performed on fastq files. Sequence reads were aligned to the annotated Oar_rambouillet_v.1 (release 109) ovine reference genome. After filtering steps, mRNA isoforms with multiple (³ 2) expressed mRNA isoforms with at least one mRNA isoform differently expressed (DE) between H- and M-innate immune response and GIN-unexposed control groups (FDR < 0.05 and |FC| > 2) were keep. A total of 1, 75, and 58 DE mRNA isoforms were identified for M versus H, U versus M, and U versus H comparisons, respectively. Gene ontology (GO) analysis including the biological process, molecular function, and cellular component GO categories and metabolic pathways analysis were performed using STRING-db software. Enriched biological processes and metabolic pathways related to the immune system, as well as cholesterol and other sterol metabolism (e.g., sterol biosynthesis, steroid metabolism, cholesterol biosynthesis, cholesterol metabolism, ascorbate and aldarate metabolism, drug metabolism, and terpenoid biosynthesis) were identified (FDR < 0.05). Next, the list of DE mRNA isoforms identified will be deeply studied by performing SNP discovery analysis to validate if specific functional SNPs are responsible for the alternative splicing affecting GIN resistance in grazing sheep. The complete results will help to better understand the biological mechanisms that may be regulating the immune response to GIN. Candidate functional SNPs have the potential to be included in a commercial SNP panel for selection of more resistant animals to improve GIN resistance in sheep flocks.
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 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) | 0,001 | 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 ».