Genetic relationship of Ganoderma species and development of specific-marker for Ganoderma lucidum
Bibliographic record
Abstract
In the present study, the genetic diversity of 69 Ganoderma species from various regions was determined by different molecular markers, including the internal transcribed spacer (ITS) rRNA, a partial β-tubulin gene, and mitochondrial small-subunit ribosomal (SSU) rDNA gene as well as randomly amplified polymorphic DNA (RAPD) analysis. The size of the ITS rDNA regions and mitochondrial SSU rDNA gene from different Ganoderma species varied from 625 to 673 bp and 656 to 2,040bp, respectively, and those of the partial β-tubulin gene sequence were 419 bp. Phylogenetic analysis based on the ITS region, the partial β-tubulin gene, and the mitochondrial SSU rDNA gene reveal that Ganoderma species are largely divided into two groups. Interestingly, most of the Ganoderma lucidum strains could be classified into 1 group, while other Ganoderma species divided into several groups (4 or 5 groups) in phylogenetic tree. One fragment unique to G. lucidum was selected from the RAPD profile and then sequenced. One primer pair (designated as KGS-F and KGS-R) based on this specific fragment was designed to amplify a 559 bp DNA fragment within the sequenced region. A single band with the expected size of 559 bp was observed from G. lucidum, except for G. lucidum strains from China, Canada, and Taiwan. This specific marker for G. lucidum from RAPD analysis, also supported by the phylogenetic analysis of the ITS, partial β-tubulin gene, and mitochondrial SSU rDNA sequences, will be useful for the PCR-based identification of G. lucidum in research applications as well as in the market.
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) | 0.000 | 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 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".