Genetic Diversity of Indigenous Bacillus thuringiensis Strains by RAPD-PCR to Combat Pest Resistance
Bibliographic record
Abstract
Genetic diversity is highly relevant and significant in discovering novel insecticidal genes in Bacillus thuringiensis ( Bt ) strains and to deal with the problems of emerging insect resistance towards Bt biopesticides. In view of this, Random Amplified Polymorphic DNA (RAPD)-PCR analysis was performed with a decamer AGCTCAGCCA for molecular typing of 177 Bt strains of Bangladesh to determine their genetic diversity. These Bt strains were allocated into 15 genomic types with their binary matrices as determined from the dendrogram based on a standardized distance in scale bar. Genotype 9 and 11 were the largest among others, each containing more than 25% of the Bt strains. The average diversity index, as deduced for each group by cluster: isolate ratio at a specific distance, was higher for locations (0.27 ± 0.098) than that for biotypes (0.23 ± 0.046) which indicates an unmingled and vertical transfer of biochemical properties among the strains. Prevalence of agriculturally important subgroups of cry1 gene in indigenous Bt strains was also determined where cry1Aa and cry1Ca gene were found to be the most prevalent (21.74%). While analyzing the distribution pattern of cry genes, they were observed to be present in all RAPD- genotypes but genotype 10 and were most prevalent in genotypes 1, 6 and 9. The phylogeny reconstruction among the strains was performed by neighbor-joining method with the 16S rRNA gene sequences and the correlation among the phylogeny, RAPD genotypes, Biotypes and presence of cry genes were analyzed.
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 | 0.001 | 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 | 0.001 | 0.001 |
| 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".