Sequence Analysis and Molecular Phylogeny of 16S rRNA Gene Fragments in Four Species of the Penaeid Shrimps from the Sudanese Red Sea
Bibliographic record
Abstract
Penaeid shrimps are of biological and economic importance and are highly in demand for human consumption. Four species of the penaeid decapod crustaceans, Finneropenaeus indicus , Penaeus monodon , P. semisulcatus and Metapenaeus monoceros were studied. Haplotype and nucleotide diversity were combined to assess the phylogenetic relationships of the penaeid shrimp species and populations of the Finneropenaeus indicus . Shrimp specimens were collected at different locations of Baaboud and Alkhairat aquafarms and from the wild. Phylogenetic relationships among the penaeid shrimp species and genetic diversity of F. indicus populations were assessed using partial mtDNA 16S rRNA gene (480 bp). Genetic distances among the species were done. The Genetic differentiation between F. indicus population (Baaboud –Alkhairat; Baaboud-Wild; Alkhairat- Wild) was found 0.10957, 0.12459 and 0.14817 respectively. No clear indication of differentiation between 16S rRNA tree branches of the populations of Alkhairat and Baaboud from the wild population, which may be attributed to the common collection sites of brood stocks and/or post larvae (PL’s) besides the absence of hydrological and physical barriers. M. monoceros formed a distant sister taxon to all other Penaeus species.
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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".