Unearthing the genes of plant-beneficial marine yeast - <i>Wickerhamomyces anomalus</i> strain MSD1
Bibliographic record
Abstract
Abstract The de novo genome of unique marine yeast, Wickerhamomyces anomalus isolated from seaweed along Indian coast is presented. The genome assembly was carried out using MaSurCA assembler that generated a data size ∼14.3 mb from short and long reads obtained from Illumina Hiseq 4000 and GridION-X5 respectively. This assembled genome data were used for predicting genes using Augustus gene prediction tool that reported 6720 genes and proteins. The gene sequences were used to unravel the metabolic pathway analysis using KAAS database. The protein sequences were used for secondary analysis to predict the presence of signal peptides using SignalP tool, predicting protein family, domains using Pfam tool and prediction of transmembrane helices in proteins using TMHMM tool. Presence of genes involved in plant growth–promotion and regulation (PGPR) including siderophore and IAA production, iron and sulfur transformation, zinc and phosphate solubilization, nitrogen fixation, synthesis of anti-bacterial and volatile organic compound (VOCs), were assigned. Additionally, acid and alkaline phosphatases, ACC deaminases and lytic enzymes such as β-glucanases, proteases and chitinases involved in pathogen suppression, are also reported. The study elucidates comprehensive understanding of PGP attributes of MSD1 and its potential use in agriculture as bio-fertilizer /bio-stimulant.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".