Analysis of Genome-Wide Coexpression and Coevolution of <i>Aspergillus oryzae</i> and <i>Aspergillus niger</i>
Bibliographic record
Abstract
Analysis of coexpressed genes in response to different perturbations at the genome-level can provide new insight into global regulatory structures. Here we performed integrated data analysis for a crossspecies comparative investigation by exploring genomes and transcriptional coexpression profiles in Aspergillus oryzae and Aspergillus niger. Based on our analysis of conserved coexpressed genes, fatty acid catabolism via beta-oxidation, fatty acid transport, the glyoxylate bypass, and peroxisomal biogenesis were identified as core coevolved pathways between the two species. The occurrence of coexpression patterns, allowed for identification of DNA regulatory motifs and putative corresponding transcription factors, and we hereby show that comparative transcriptome analysis between two closely related fungi allows for identification of how genes involved in the utilization of fatty acids, peroxisomal biogenesis, and the glyoxylate bypass are regulated. Interestingly, "CCTCGG" was identified as a core binding site for the putative FarA and FarB transcription factors that govern the underlined biological processes. Phylogeny and domain architecture analysis of amino acid sequences of FarA and FarB in eight species of aspergilli, clearly indicate that these proteins are evolutionarily conserved across Aspergillus species as well as they are conserved in other fungi.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".