Streptococcus agalactiae INFECTION ON TILAPIA (Oreochromis niloticus) IN CIRATA RESERVOIR, WEST JAVA
Bibliographic record
Abstract
Streptococcosis is one of bacterial diseases in the culture of Tilapia, Oreochromis niloticus and has caused significant economic losses. Streptococcus iniae, is known as pathogen to marine and freshwater fishes whereas Streptococcus agalactiae is known as pathogen to Tilapia. The isolation and characterization of four isolates of S. agalactiae, were described from an infected Tilapia from Cirata Reservoir, West Java, in July 2008. Conventional and rapid identification systems were used to determine isolates of S. agalactiae from brain and kidney tissues. In this paper, we have characterized S. agalactiae and this was the first isolation of this bacteria from fish. The isolates were gram positive, catalase-negative, oxidase-negative, haemolytic cocci colonies on blood agar. All of the of isolates were biochemically characterized with the API 20 Strep System (bioMerieux). Bacterial chromosomal DNA used in PCR assay was extracted by heating method. The forward primer is Sdi 61: 5’-AGGAAACCTGCCATTTGCG-3’ and the reverse primer is Sdi 252: 5’-CAATCTATTTCTAGATCGTGG-3’ with gene target 16S intergenic spacer and it has 192 bp in length. These primers were designed by Alpha DNA (Montreal, Quebec). The biochemical patterns of four isolates were rather different although almost all traits were similar with the exception of pyroglutamic acid (pyra) and L-arginin (ADH), for which we observed negative and positive reaction in this study. Therefore, some of the biochemical characteristics of the four isolates did not fit 100% with the typical patterns of S. agalactiae. However, the PCR result showed that this PCR assay is an effective tool for rapid and specific detection of S. agalactiae, the main pathogens involved in warm-water streptococcosis, obtained from pure culture of naturally infected fish. Therefore, it could be a useful alternative for culture-based routine diagnosis of warm-water streptococcal infections in fish.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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".