Genetic Analysis of the Assimilation of C <sub>5</sub> -Dicarboxylic Acids in Pseudomonas aeruginosa PAO1
Bibliographic record
Abstract
There is a wealth of information on the genetic regulation and biochemical properties of bacterial C4-dicarboxylate transport systems. In sharp contrast, there are far fewer studies describing the transport and assimilation of C5-dicarboxylates among bacteria. In an effort to better our understanding on this subject, we identified the structural and regulatory genes necessary for the utilization of α-ketoglutarate (α-KG) in Pseudomonas aeruginosa PAO1. The PA5530 gene, encoding a putative dicarboxylate transporter, was found to be essential for the growth of P. aeruginosa PAO1 on both α-KG and glutarate (another C5-dicarboxylate). Metabolite analysis confirmed that the PA5530 gene was necessary for the uptake of extracellular α-KG. Like other substrate-inducible transporter genes, expression of the PA5530 gene was induced by extracellular C5-dicarboxylates. It was later found that the expression of the PA5530 gene was driven solely by a -24/-12 promoter recognized by the alternative sigma factor RpoN. Surprisingly, the enhancer binding protein MifR, which is known to have an essential role in biofilm development, was required for the expression of the PA5530 gene. The MifR protein is homologous to other transcriptional regulators involved in dicarboxylate assimilation, suggesting that MifR might interact with RpoN to activate the expression of the PA5530 gene in response to extracellular C5-dicarboxylates, especially α-KG. The results of this study provide a framework for exploring the assimilation of α-KG in other pseudomonads.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".