Identification of a Conserved Transcriptional Activator-Repressor Module Controlling the Expression of Genes Involved in Tannic Acid Degradation and Gallic Acid Utilization in Aspergillus niger
Bibliographic record
Abstract
Tannic acid, a hydrolysable gallotannin present in plant tissues, consists of a central glucose molecule esterified with gallic acid molecules. Some microorganisms, including severalAspergillusspecies, can metabolize tannic acid by releasing gallic acid residues from tannic acid by secreting tannic acid specific esterases into the medium. The expression of these so-called tannases is induced by tannic acid or gallic acid. In this study, we identified a conserved transcriptional activator-repressor module involved in the regulation of predicted tannases and other genes involved in gallic acid metabolism. The transcriptional activator-repressor module regulating tannic acid utilization resembles the transcriptional activator-repressor modules regulating galacturonic acid and quinic acid utilization. Like these modules, the Zn(II)2Cys6transcriptional activator (TanR) and the putative repressor (TanX) are located adjacent to each other. Deletion of the transcriptional activator(ΔtanR) results in inability to grow on gallic acid and severely reduces growth on tannic acid. Deletion of the putative repressor gene(ΔtanX) results in the constitutive expression of tannases as well as other genes with mostly unknown function. Known microbial catabolic pathways for gallic acid utilization involve so-called ring cleavage enzymes, and two of these ring cleavage enzymes show increased expression in the ΔtanXmutant. However, deletion of these two genes, and even deletion of all 17 genes encoding potential ring cleavage enzymes, did not result in a gallic acid non-utilizing phenotype. Therefore, inA. nigergallic acid utilization involves a hitherto unknown pathway. Transcriptome analysis of the ΔtanXmutant identified several genes and gene clusters that were significantly induced compared to the parental strain. The involvement of a selection of these genes and gene clusters in gallic acid utilization was examined by constructing gene deletion mutants and testing their ability to grow on gallic acid. Only the deletion of a gene encoding an FAD-dependent monooxygenase (NRRL3_04659) resulted in a strain that was unable to grow on gallic acid. Metabolomic studies showed accumulation of gallic acid in the ΔNRRL3_04659mutant suggesting that this predicted monooxygenase is involved in the first step of gallic acid metabolism and is likely responsible for oxidation of the aromatic ring.
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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 | 0.000 | 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 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".