Metagenomic Analysis of Uterine Microbiota in Postpartum Normal and Endometritic Water Buffaloes (Bubalus bubalis)
Bibliographic record
Abstract
In Indian subcontinent the water buffalo (Bubalus bubalis) is one of the important livestock animals. As in cows, postpartum infection like endometritis in dairy buffaloes is major cause for the economic loss in the dairy industries. Till date, there is no study regarding metagenomic analysis of bacterial population of postpartum endometritic buffaloes. The purpose of this study was to identify and compare the uterine bacterial composition in normal and endometritic postpartum buffaloes using 16S rDNA cloning, which was a type of culture-independent methods. A total of 151 cloned plasmids for 16S rDNA from both normal and endometritic uterine samples were sequenced. Cloning library of 16S rDNA revealed clear cut difference between bacterial populations of normal and endometritic postpartum buffaloes. Cloned sequences were assigned to five major groups and one uncultured group. The five major groups include- Bacteroidetes, Firmicutes, Fusobacteria, Proteobacteria, and Tenericutes. Major cloned sequences from normal status endometrium were affiliated to phylum Proteobacteria, and most of the sequences showed high degree of similarity with bacteria Haemophilus felis. Most of the sequences from cloned library of endometritic status samples were affiliated to phylum Proteobacteria and Tenericutes. The most prevalent bacteria found in endometritic samples were Psychrobacter sp. PRwf-1, Psychrobacter pulmonis, Ureaplasma diversum strain T95 and Ureaplasma diversum strain A417. A major number of cloned sequences from both normal and endometritic samples were assigned to uncultured group. The present data showed bacterial population of postpartum normal and endometritic buffaloes and also described the presence of various types microbiota in uterine samples.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".