Lysogenized phages of methanotrophic bacteria show a broad and untapped genetic diversity
Bibliographic record
Abstract
Abstract Methanotrophs are a unique class of bacteria with the ability to metabolize single-carbon compounds such as methane. They play an important role in the global methane cycle and have great potential as industrial platforms for the bioconversion of methane from industrial waste streams into valuable products, such as biofuels and bioplastics. However, many aspects of methanotroph biology have yet to be elucidated, including the prevalence and impact of lysogenized bacteriophages (phages), which can greatly affect both the ecology and the industrial performance of these bacteria. The present study investigates the presence of putative prophages in three gammaproteobacterial ( Methylobacter marinus A45, Methylomicrobium album BG8, Methylomonas denitrificans FJG1) and two alphaproteobacterial ( Methylosinus trichosporium OB3b, Methylocystis sp. Rockwell) methanotrophs using four programs predicting putative phage sequences (PhageBoost, PHASTER, Phigaro, and Island Viewer). Mitomycin C was used to trigger induction of prophages, which was monitored through infection dynamics. Successfully induced phages from M. marinus A45 (MirA1, MirA2), M. album BG8 (MirB1), and M. trichosporium OB3b (MirO1) were isolated and characterized using transmission electron microscopy. Subsequently, bioinformatic analyses (BLAST and phylogenetics) were performed on three induced phages to obtain a profile of their respective genetic makeup. Their broad diversity and differences from previously known phages, based on whole genome and structural gene sequences, suggest they each represent a new phage family, genus and species: “ Britesideviridae Inducovirus miraone ”, “ Patronusviridae Enigmavirus miratwo ”, and “ Kainiviridae Tripudiumvirus miroone ” represented by isolates MirA1, MirA2, and MirO1, respectively.
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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 | 0.000 | 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) | 0.001 | 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".