Origins and evolution of isoprenoid lipid biosynthesis in archaea
Bibliographic record
Abstract
A characteristic feature of the domain archaea are the lipids forming the hydrophobic core of their cell membrane. These unique lipids are composed of isoprenoid side-chains stereospecifically ether linked to sn-glycerol-1-phosphate. Recently, considerable progress has been made in characterizing the enzymes responsible for the synthesis of archaeal lipids. However, little is known about their evolution. To better understand how this unique biosynthetic apparatus came to be, large-scale database surveys and phylogenetic analyses were performed. All characterized enzymes involved in the biosynthesis of isoprenoid side-chains and the glycerol phosphate backbone along with their assembly in ether lipids were included in these analyses. The sequence data available in public databases was complemented by an in-depth sampling of isoprenoid lipid biosynthesis genes from multiple genera of the archaeal order Halobacteriales, allowing us to look at the evolution of these enzymes on a smaller phylogenetic scale. This investigation of the isoprenoid biosynthesis apparatus of archaea on small and large phylogenetic scales reveals that it evolved through a combination of evolutionary processes, including the co-option of ancestral enzymes, modification of enzymatic specificity, orthologous and non-orthologous gene displacement, integration of components from eukaryotes and bacteria and lateral gene transfer within and between archaeal orders.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".