Rebuilding microbial genomes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Engineered microbes are of great potential utility in biotechnology and basic research. In principle, a cell can be built from scratch by assembling small molecule sets with auto-catalytic properties. Alternatively, DNA can be isolated or directly synthesized and molded into a synthetic genome using existing genomic blueprints and molecular biology tools. Activating such a synthetic genome will yield a synthetic cell. Here we examine obstacles associated with this latter approach using a model system whereby a donor genome from H. influenzae is fragmented, and the pieces are then modified and reassembled stepwise in an E. coli host cell. There are obstacles associated with this strategy related to DNA transfer, DNA replication, cross-talk in gene regulation and compatibility of gene products between donor and host. Encouragingly, analysis of gene expression indicates widespread transcription of H. influenzae genes in E. coli, and analysis of gap locations in H. influenzae and other microbial genome assemblies reveals few genes routinely incompatible with E. coli. In conclusion, rebuilding and booting a genome remains a feasible and pragmatic approach to creating a synthetic microbial cell.
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.
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 it