The role of lateral gene transfer in the evolution of isoprenoid biosynthesis pathways
Bibliographic record
Abstract
Lateral gene transfer (LGT) is a major force in microbial genome evolution. Here, we present an overview of lateral transfers affecting genes involved in isopentenyl diphosphate (IPP) synthesis. Two alternative metabolic pathways can synthesize this universal precursor of isoprenoids, the 1-deoxy-D-xylulose 5-phosphate (DOXP) pathway and the mevalonate (MVA) pathway. We have surveyed recent genomic data and the biochemical literature to determine the distribution of the genes composing these pathways within the bacterial domain. The scattered distribution observed is incompatible with a simple scheme of vertical transmission. LGT (among and between bacteria, archaea and eukaryotes) more parsimoniously explains many features of this pattern. This alternative scenario is supported by phylogenetic analyses, which unambiguously confirm several cases of lateral transfer. Available biochemical data allow the formulation of hypotheses about selective pressures favouring transfer. The phylogenetic diversity of the organisms involved and the range of possible causes and effects of these transfer events make the IPP biosynthetic pathways an ideal system for studying the evolutionary role of LGT.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".