Surveying biotransformations with <i>à la carte</i> genetic traps: translating dehydrochlorination of lindane (gamma‐hexachlorocyclohexane) into <i>lacZ</i> ‐based phenotypes
Bibliographic record
Abstract
The ability of the product of a desired reaction to activate a bacterial transcriptional regulator was exploited to develop genetic traps that render the catalytic activity born by a DNA clone into a selectable/scorable phenotype. We established this strategy with a system to expose the activity of dehydrochlorinases acting upon gamma-hexachlorocyclohexane (gamma-HCH or lindane). To this end, the effector-binding protein, XylR, was evolved by gene shuffling plus mutagenic polymerase chain reaction to be optimally responsive to the major product of gamma-HCH dehydrochlorination, 1,2,4-trichlorobenzene (TCB). We then derived Escherichia coli strains that constitutively expressed the modified XylR variant (named XylR5) and had lacZ under control of the Pu promoter, which is activated by XylR. A robotic beta-galactosidase assay indicated that when the resulting strain was transformed with a linA+ clone (expressing a gamma-HCH dehydrochlorinase from Sphingomonas paucimobilis UT26), it had levels of beta-galactosidase that were dependent on the gamma-HCH concentration. This à la carte host thus translated the conversion of gamma-HCH to TCB into upregulation of lacZ. An alternate host additionally expressing LacY grew efficiently on lactose only when LacZ was upregulated in a fashion dependent on TCB or other effectors of XylR5. These results demonstrated the power of deriving a host for the genetic scrutiny, rather than enzymatic screening, of clones expressing a given catabolic enzyme.
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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) | 0.001 | 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 | 0.001 |
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".