Impact of donor–recipient phylogenetic distance on bacterial genome transplantation
Bibliographic record
Abstract
Genome transplantation (GT) allows the installation of purified chromosomes into recipient cells, causing the resulting organisms to adopt the genotype and the phenotype conferred by the donor cells. This key process remains a bottleneck in synthetic biology, especially for genome engineering strategies of intractable and economically important microbial species. So far, this process has only been reported using two closely related bacteria, Mycoplasma mycoides subsp. capri (Mmc) and Mycoplasma capricolum subsp. capricolum (Mcap), and the main factors driving the compatibility between a donor genome and a recipient cell are poorly understood. Here, we investigated the impact of the evolutionary distance between donor and recipient species on the efficiency of GT. Using Mcap as the recipient cell, we successfully transplanted the genome of six bacteria belonging to the Spiroplasma phylogenetic group but including species of two distinct genera. Our results demonstrate that GT efficiency is inversely correlated with the phylogenetic distance between donor and recipient bacteria but also suggest that other species-specific barriers to GT exist. This work constitutes an important step toward understanding the cellular factors governing the GT process in order to better define and eventually extend the existing genome compatibility limit.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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; both teacher heads agree on what is shown here.
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".