PSLBII-7 Meta-analysis of the whole-body microbiota in cattle
Bibliographic record
Abstract
Abstract Distinctive and self-sustainable microbial communities are present along the digestive, respiratory, and reproductive tracts, as well as in the mammary gland, and mucosal surfaces of the eye and hoof in cattle. Although the taxonomic and functional features of each of these communities have been relatively well characterized, this has been largely limited to the microbiome of an individual organ/site. However, recent developments suggest the presence of core taxa shared across the gut, respiratory, and reproductive microbiotas in cattle, and there is a need for a more holistic evaluation of microbial communities in and on cattle. Here, we performed a meta-analysis using all publicly available bovine 16S rRNA gene datasets deposited since 2019 to provide a holistic view of the whole-body microbiota. In total, we retrieved 16S rRNA gene sequences from 6,215 samples (53 studies originating from 29 different anatomical sites within beef and dairy cattle from Africa, Asia, Europe, South America, and North America. The 29 different anatomical sites including gut (ruminal fluid, ruminal tissues, feces, ileum, jejunum, cecum, colon and duodenum), respiratory (nasal cavity, deep nasopharynx, trachea and lung tissue), and reproductive tracts (female: vagina, endometrium and uterus; male: semen and prepuce), as well as the mammary gland (udder, teat apex, teat barrel, teat canal), eye (conjunctiva, ocular fluid and ocular surface swab), blood, hoof, joints and liver. Microbial community structure was distinct among different sample types (PERMANOVA, P < 0.05). Microbial richness differed by sample type (P < 0.0001) with mucosal surfaces (e.g. udder, eye and feet) having the greatest microbial richness followed by the gut. The lungs, liver, joints, semen and prepuce had the least microbial richness. Microbial diversity was greatest in the microbiota of the colon, cecum, teat apex, ruminal tissue and duodenum (Shannon diversity index > 5) while the liver (1.5), joint (2.3), and prepuce microbiota (2.7) were the least diverse. Bacillota had the highest relative abundance among phyla in the majority of microbial communities except for in the blood, prepuce, trachea and nasal cavity (dominated by Pseudomonadota), and liver (dominated by Fusobacteriota). The relatively most abundant genera across all samples were Mycoplasma (12.9%), Prevotella (3.9%), Bacteroides (2.4%), Escherichia (2.1%), Fusobacterium (2.0%), Ruminococcaceae UCG-005 (1.9%), Streptococcus (1.8%), Rikenellaceae RC9 (1.6%), and Corynebacterium (1.4%). However, their relative abundance varied greatly by body site, with the ocular and respiratory system samples dominated by Mycoplasma. Fusobacterium was relatively most abundant in the liver and semen, Corynebacterium in the mammary gland-associated samples, Bacteroides in the gut, and Streptococcus in the lower reproductive tract microbiota. Overall, our meta-analysis provides a comprehensive evaluation of the multiple bacterial communities in and on cattle, which will be useful for harnessing the whole-body microbiome to improve animal health and productivity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.010 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".