PSXIV-9 Effects of Dietary Restriction and One-Carbon Metabolite Supplementation During Early Gestation on the Maternal Gut and Vaginal Microbiota in Cattle
Notice bibliographique
Résumé
Abstract Maternal diet quality and quantity have significant impacts on both maternal and fetal health and development. The composition and function of the maternal gut microbiome is also significantly influenced by diet. However, little is known about the impact of gestational nutrient restriction on the maternal microbiome during early gestation, which is a critical stage for many developmental processes. Here, we evaluated the effects of dietary restriction and one-carbon metabolite (OCM) supplementation on the ruminal and vaginal microbiota of beef heifers during early pregnancy. For this, 32 beef heifers (approximately 14-month-old) were used in a 2 × 2 factorial experiment with main factors including targeted gain (CON; 0.45 kg/d gain vs. RES; -0.23 kg/d gain), and OCM supplementation (OCM vs. noOCM) (n = 8/treatment). OCM heifers received ruminal-protected methionine (20 g/day) and choline (60 g/day) daily via a fine-ground corn carrier, with weekly intramuscular injections of folate (320 mg) and vitamin B12 (20 mg). The noOCM heifers received only corn carrier and saline injections. Heifers were individually fed and began treatment at breeding (d 0) and remained on treatment until d 63 of gestation. Ruminal fluid and vaginal swab samples were collected at d -2, d 35, and d 63 (at necropsy). Microbiota from samples were assessed using 16S rRNA gene (V3-V4) sequencing. Overall community structure of the ruminal microbiota was affected by gain (PERMANOVA: R2 = 0.04, P < 0.0001), OCM (R2 = 0.013, P = 0.03), time (R2 = 0.16, P < 0.0001) and by their interactions (R2 = 0.08, P = 0.004). The greatest difference in ruminal microbial community structure was between RES and CON heifers (R2 ≥ 0.16, P ≤ 0.003) on d 63. Overall microbial richness (total ASVs) was greater in RES (2,900 vs. 2,737; P = 0.005) but was unaffected by OCM (P = 0.25). Analysis via MaAsLin2 revealed that phyla Firmicutes (31% vs. 22%), Actinobacteriota (0.65% vs. 0.36%) and Chloroflexi were enriched (P < 0.05) in RES heifers. Twenty-five of the 34 differentially abundant genera in the rumen microbiota, including Christensellaceae R7 (5.0% vs 2.6%), Lachnobacterium (2.0% vs. 0.46%), and Butyrivibrio were more relatively abundant in RES; whereas 9 genera including Prevotella (16.5% vs. 31.1%), Ruminococcus (1.6% vs. 2.5%) and Saccharofermentans (0.4% vs. 0.5%) were reduced in RES (P < 0.05) on d 63. Overall vaginal microbiota structure was affected by gain (R2 = 0.02, P = 0.023) and time (R2 = 0.34, P < 0.0001) but not OCM (P >0.05). Community structure of RES was distinct from CON (R2 = 0.16, P = 0.032) on d 63, but microbial community richness and diversity were not influenced by OCM (P > 0.05). On d 63, RES heifers had increased Actinobacteriota (30.5% vs. 17.7%), but reduced Proteobacteriota (6.2% vs. 9.4%) and Fusobacteriota (0.02% vs. 0.94%; P < 0.05). In summary, restricted dietary intake during early gestation induced significant alterations in the ruminal microbiota and its impact also extended to the vaginal microbiota. The composition of these two microbial communities remained largely unaffected by OCM supplement.
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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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 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 ».