Additional file 1 of The arabinose transporter MtLat-1 is involved in hemicellulase repression as a pentose transceptor in Myceliophthora thermophila
Bibliographic record
Abstract
Additional file 1. Table S1: List of PCR primers used in this study. Table S2: Profiles of RNA-Seq reads mapped to the genome of M. thermophila. Table S3: Transcriptomic profiles of 26 sugar transporters with robust expression levels (RPKM > 20) in at least one tested condition. Table S4: Genes showing significantly different transcriptional levels in strain ∆Mtlat-1 compared with the WT when grown on 1 × VMM with 2% arabinan for 4 days. Table S5: Transcriptomic profiles of genes encoding major hemicellulases from RNA-Seq data when grown on 1 × VMM with 2% arabinan. Table S6: Gene ontology (GO) analysis of up-regulated genes in strain ΔMtlat-1 compared with the WT when grown on 1 × VMM with 2% arabinan for 4 days. Table S7: Transcriptomic profiles of transcription factor genes with significantly upregulated expression levels in WT M. thermophila grown on l-arabinose, d-xylose, or d-glucose, compared with that under no carbon. Table S8: Genes showing significantly different transcriptional levels in strain ∆Mtara-1 compared with the WT strain when grown on 2% arabinan for the induction of 4 h.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.784 | 0.187 |
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".