PimF, a Mannosyltransferase of Mycobacteria, Is Involved in the Biosynthesis of Phosphatidylinositol Mannosides and Lipoarabinomannan
Bibliographic record
Abstract
Phosphatidylinositol mannosides (PIMs) and their related molecules lipomannan (LM) and lipoarabinomannan (LAM) are important components of the mycobacterial cell wall. These molecules mediate host-pathogen interactions and exhibit immunomodulatory activities. The biosynthesis of these lipoglycans is not fully understood. In this study, we have identified a mycobacterial gene (Rv1500) that is involved in the synthesis of PIMs. We have named this gene pimF. Transposon mutagenesis of pimF of Mycobacterium marinum resulted in multiple phenotypes, including altered colony morphology, disappearance of tetracyl-PIM(7), and accumulation of tetraacyl-PIM(5). The syntheses of LAM and LM were also affected. In addition, the pimF mutant exhibited a defect during infection of cultured macrophage cells. Although the mutant was able to replicate and persist within macrophages, the initial cell entry step was inefficient. Transformation of the M. marinum mutant with the pimF homolog of Mycobacterium tuberculosis complemented all of the above mentioned phenotypes. These results provide evidence that PimF is a mannosyltransferase. However, sequence analysis indicates that PimF is distinct from mannosyltransferases involved in the early steps of PIM synthesis. PimF catalyzes the formation of high molecular weight PIMs, which are precursors for the synthesis of LAM and LM. As such, this work marks the first analysis of a mannosyltransferase involved in the later stages of PIM synthesis.
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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".