ArticleJournal of animal science2025
Characterizing the seminal microbiota in mature rams managed on divergent planes of nutrition, and their male offspring.
Article in Journal of animal science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Evidence suggests that there is a rich and diverse microbial community in the semen of mammals, which may be important in reproductive health and fertility. However, the composition of ram seminal microbiota remains under-characterized, with factors shaping it still largely unknown. The objectives of this study were to; 1) characterize the seminal microbiota of mature rams and their ram lambs using 16S rRNA gene sequencing; 2) evaluate whether managing the mature rams on divergent planes of nutrition can influence their seminal microbiota and that of their male offspring; and 3) compare the seminal microbiota between mature rams and ram lamb cohorts to identify age-related microbiota characteristics. For this, mature rams (n = 24) were assigned to one of the 3 nutritional planes: 1) Positive (POS), to gain 12% of initial body weight (BW) (n = 8), 2) maintenance (MAINT), to maintain BW (n = 8), and 3) negative (NEG), to lose 12% BW (n = 8) over an 84-d period. Semen samples were collected from the mature rams (F0) after 28-d, 56-d, and 84-d from the start of the trial. Following the 84-d period, the 24 rams were used to breed 240 mature ewes over 28-d. After lambing, the ram lambs (F1) sired by POS, MAINT, and NEG rams were maintained on the same diet until 11 months of age, at which semen samples were collected. Genomic DNA was extracted from the semen, and the microbiota was analyzed using 16S rRNA gene (V3-V4) sequencing. Overall, there was a relatively diverse and dynamic bacterial microbial community in the ram semen, mainly dominated by Actinobacteriota, Bacillota, Bacteroidota, and Proteobacteria phyla. The predominant genera identified included Fastidiosipila, Corynebacterium, Trueperella, Arthrobacter, Dietzia, and Bifidobacterium. The seminal microbial community structure, composition, and alpha diversity of F0 rams was influenced by diet during the first 28-d, but these diet influences later diminished. The paternal plane of nutrition did not influence the seminal microbiota of offspring ram lambs. The mature rams and ram lambs had distinct seminal microbiota, with young rams showing greater microbial richness and diversity (P < 0.005). Our results suggest that there is a relatively diverse and dynamic microbial community present in the semen of both mature rams and ram lambs, and that this microbiota is transiently influenced by diet and age. Managing rams on divergent planes of nutrition may not affect their offspring's seminal microbiota.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.