Genomic and gene expression evidence of nonribosomal peptide and polyketide production among ruminal bacteria: a potential role in niche colonization?
Bibliographic record
Abstract
Genomic and transcriptomic analyses were performed to investigate nonribosomal peptide synthetases (NRPS) and polyketide synthases (PKS) in 310 genomes of ruminal/fecal microorganisms. A total of 119 biosynthetic genes potentially encoding distinct nonribosomal peptides (NRPs) and polyketides (PKs) were predicted in the ruminal microbial genomes and functional annotation separated these genes into 19 functional categories. The phylogenetic reconstruction of the 16S rRNA sequences coupled to the distribution of the three 'backbone' genes involved in NRPS and PKS biosyntheses suggested that these genes were not acquired through horizontal gene transfer. Metatranscriptomic analyses revealed that the predominant genes involved in the synthesis of NRPs and PKs were more abundant in sheep rumen datasets. Reads mapping to the NRPS and PKS biosynthetic genes were represented in the active ruminal microbial community, with transcripts being highly expressed in the bacterial community attached to perennial ryegrass, and following the main changes occurring between primary and secondary colonization of the forage incubated with ruminal fluid. This study is the first comprehensive characterization demonstrating the rich genetic capacity for NRPS and PKS biosyntheses within rumen bacterial genomes, which highlights the potential functional roles of secondary metabolites in the rumen ecosystem.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".