Pathway Evolution by Horizontal Transfer and Positive Selection Is Accommodated by Relaxed Negative Selection upon Upstream Pathway Genes in Purple Bacterial Carotenoid Biosynthesis
Bibliographic record
Abstract
Horizontal gene transfer and selection are major forces driving microbial evolution. However, interactions between them are rarely studied. Phylogenetic analyses of purple bacterial carotenoid biosynthesis genes suggest two lineages: one producing spheroidenone and the other producing spirilloxanthin. Of the latter lineage, Rubrivivax gelatinosus S1 and Hoeflea phototrophica DFL-43 also or instead produce spheroidenone. Evolution of the spheroidenone pathway from that producing spirilloxanthin theoretically requires changes in the substrate specificity of upstream pathway enzymes and acquisition of a terminal ketolase (CrtA). In R. gelatinosus and likely also in H. phototrophica, CrtA was acquired from the Bacteroidetes, in which it functions as a hydroxylase. Estimation of nonsynonymous and synonymous mutations using several pairwise methods indicated positive selection upon both genes, consistent with their functional changes from hydroxylases to ketolases. Relaxed negative selection upon all other carotenoid biosynthetic genes in these organisms was also apparent, likely facilitating changes in their substrate specificities. Furthermore, all genes responsible for terminal carotenoid biosynthetic pathway steps were under reduced negative selection compared to those known to govern biosynthetic pathway specificity. Horizontal transfer of crtA into R. gelatinosus and H. phototrophica has therefore likely been promoted by (i) the apparent selective advantage of spheroidenone production relative to spirilloxanthin production, (ii) reduced negative selection upon other carotenoid biosynthetic genes, facilitating changes in their substrate specificities, and (iii) preexisting low enzyme substrate specificities due to relaxed negative selection. These results highlight the importance and complexity of selection acting upon both a horizontally transferred gene and the biochemical network into which it is integrating.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".