Determining the functionality of putative Tat-dependent signal peptides in Streptomyces coelicolor A3(2) by using two different reporter proteins
Bibliographic record
Abstract
The availability of the complete genome sequence of Streptomyces coelicolor A3(2) has allowed the prediction of the Tat-exported proteins of this Gram-positive bacterium. To predict secreted proteins that potentially use the Tat pathway for their secretion, the TATscan program was developed. This program identified 129 putative Tat substrates. To test the validity of these predictions, nine signal sequences, including three which were not identified by existing prediction programs, were selected and fused to the structural xlnC gene in place of its native signal sequence. Xylanase C (XlnC) is a cofactorless enzyme which is secreted in an active form exclusively through the Tat-dependent pathway by Streptomyces lividans. Among the nine chosen signal sequences, seven were shown to be Tat-dependent, one was Sec-dependent and one was probably not a signal sequence. The seven Tat-dependent signal sequences comprised two lipoprotein signal sequences and three sequences not predicted by previous programs. Pulse-chase experiments showed that the precursor-processing rate in the seven transformants was generally slower than wild-type XlnC, indicating that these signal peptides were not equivalent in secretion. This suggested that there might be some incompatibility between the signal peptide and the reporter protein fused to it. To test this possibility, the signal peptides were fused to a cofactorless chitosanase (SCO0677), a Tat-dependent protein validated in this work but structurally different from XlnC. With some fluctuations, similar results were obtained with this enzyme, indicating that the type of folding of the reporter protein had little effect on the Tat secretion process.
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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".