Preliminary Molecular Studies of the First Report of Burkholderia pseudomallei Isolation from Soil Collected in the Amapá State, in Northern Brazil
Bibliographic record
Abstract
The wide spectra of colonizing microorganism, likewise Burkholderia pseudomallei, has been found in different habitats, and presenting distinct activity, as exerting physiological functions among plants, or as a pathogen for man, animals and also as a phytopathogen. A common disease of men and animals caused by B. pseudomallei, melioidosis, is a severe morbidity that usually culminates in the host death. Soil samples from different areas in the Amapá state, in northern Brazil, were screened for environmental microorganisms to assess potential antimicrobial activity aiming at biotechnological applications. Among the prospected microorganisms, B. pseudomallei was isolated from high humidity soils, mangrove, which is rich in organic materials, produced by the diversified local flora and fauna. The isolated B. pseudomallei was identified by its biochemical profile and growth characteristics. Molecular confirmation of B. pseudomallei phenotypic identification was achieved by PCR amplification of the 16 S ribosomal DNA. The sequencing of amplified products confirmed that the Amapá sample, and two other isolates from human infections in Ceará state, northeast Brazil, were B. pseudomallei, and sequence alignement to the same specie, MSHR146 strain from Australia, and clone YN01 from uncultured Burkholderia sp., deposited in the GenBank, exhibited close phylogenetic relationship among them. Until now, there is no report of B. pseudomallei related disease among human and animal populations in the Amapá state, despite the finding of B. pseudomallei in it, in an area of water buffalo ranching and flowing small rivers utilized by human populations.
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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 | 0.001 |
| 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) | 0.001 | 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".