A Phylogenomic Analysis of the Shikimate Dehydrogenases Reveals Broadscale Functional Diversification and Identifies One Functionally Distinct Subclass
Bibliographic record
Abstract
The shikimate dehydrogenases (SDH) represent a widely distributed enzyme family with an essential role in secondary metabolism. This superfamily had been previously subdivided into 4 enzyme groups (AroE, YdiB, SdhL, and RifI), which show clear biochemical and functional differences ranging from amino acid biosynthesis to antibiotic production. Despite the importance of this group, little is known about how such essential enzymatic functions can evolve and diversify. We dissected the enzyme superfamily with a phylogenomic analysis of approximately 250 fully sequenced genomes, making use of previously characterized representatives from each enzyme class, and the key substrate-binding residues known to distinguish substrate specificity. We identified 5 major evolutionary and functional SDH subgroups and several other potentially unique functional classes within this complex enzyme family and then validated the functional distinctiveness of each group by characterizing the 5 SDH homologs found in Pseudomonas putida KT2440 biochemically. We identified an entirely novel functionally distinct subgroup, which we designated Ael1 (AroE-like1) and also delineated a new group of shikimate/quinate dehydrogenases (YdiB2), which is phylogenetically distinct from the previously described Escherichia coli YdiB. The combination of biochemical, phylogenetic, and genomic approaches has revealed the broad extent to which the SDH enzyme superfamily has diversified. Five functional groups were validated with the potential for at least 5 additional subgroups. Our analysis also identified a new SDH functional group, which appears to have evolved recently from an ancestral AroE, illustrating a very prominent role of horizontal transmission and neofunctionalizaton in the evolutionary and functional diversification of this enzyme family.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".