Comparative phylogenetic analysis of intergenic spacers and small subunit rRNA gene sequences of two microsporidian isolates from Antheraea myllita
Bibliographic record
Abstract
Two microsporidian isolates extracted from infected tasar silkworms (Antheraea mylitta) collected from forest area in Deoghar district, Jharkhand, India were subjected to PCR amplification using intergenic spacer (IGS) region and small subunit rRNA (SSU-rRNA) gene specific primers followed by cloning and sequencing. The IGS and SSU-rRNA gene sequences were analysed to derive the identity of the microspoidian isolates and establish their phylogenetic relationships. The phylogenetic analysis of test isolates included assessment of variation in sequences and length of IGS and SSU-rRNA genes with reference to 16 different microsporidian sequences. The results proved that IGS sequences have more variation than SSU-rRNA gene sequences. Analysis of phylogenetic trees reveal that both test isolates have very close relationship with each other as well as with three Nosema reference species viz., N. philosamia and N. antheraea isolated from Philosamia cynthia ricini and Antheraea pernyi in China respectively, and N. disstriae isolated from Malacosma disstriae in Canada. The test microsporidian isolates revealed closer relationship with other Nosema reference strains compared to Nosema sp. (NIK-1s_mys) from India. The study results indicate that the IGS or/and SSU rRNA sequence based analysis is suitable and valuable to ascertain phylogenetic relationships between various microsporidian strains/species. Key words: Microsporidia, Antheraea mylitta, small subunit rRNA, intergenic spacer, phylogenetic relationship.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".