ArticleFrontiers in microbiology2025
Age-stratified gut microbial changes in diarrheal calves: insights from 16S rRNA sequencing across early development.
Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Effects of Dietary NFC/NDF and Allicin Supplementation on Serum Electrolytes, Nitrogen and Phosphorus Excretion, and Fecal Microbiota in Beef Bulls.Animals : an open access journal from MDPI · 2026Article
- Genomic characterization, antimicrobial resistance, and virulence profiling ofFrontiers in microbiology · 2025Article
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9 authors.
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Abstract
Introduction: Neonatal calf diarrhea (NCD) remains a leading cause of mortality in calves under 1 month, yet how gut microbial responses vary across developmental stages remains unexplored. This study investigates age-stratified microbiome dynamics during NCD to enable precision interventions. Materials and methods: This study investigated 60 female Holstein calves (1, 21, and 30 days old) from a commercial dairy farm, equally divided between healthy and diarrheal groups based on standardized fecal scoring. Fecal samples were collected aseptically, flash-frozen, and processed for 16S rRNA gene sequencing (V3-V4 region) using Illumina NovaSeq. Bioinformatics analyses included DADA2 pipeline for ASV calling, SILVA 138 database for taxonomic annotation, ANCOM-BC2 for differential abundance analysis (FDR < 0.05), PICRUSt2 for functional prediction, and SparCC networks (|r| > 0.6, Results: The gut microbiome exhibited age-dependent succession, transitioning from Pseudomonadota dominance (47.2 ± 0.7%) at day 1 to Bacillota/Bacteroidota co-dominance (85.5 ± 8.2%) by day 30. Age explained significantly more compositional variance than diarrhea status (3.68% vs. 1.96%, Conclusion: NCD-associated dysbiosis progresses through distinct developmental phases, from resilient phylum-level shifts in neonates to complex network disruptions in mature microbiota. The identification of stage-specific biomarkers (e.g., day 21
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