Tolerance, taxonomic and phylogenetic studies of some bacterial isolates involved in bioremediation of crude oil polluted soil in the southern region of Nigeria
Bibliographic record
Abstract
Indigenous bacteria play vital roles in the bioremediation of crude oil polluted soils. The effectiveness of the bioremediation process depends on the tolerance, characteristics and biodiversity of the bacteria isolates. Bacteria strains were isolated from crude-oil polluted sites in different locations in the southern region of Nigeria namely: Azikoro and Otukpoti (Bayelsa state); Ologbo and Benin (Edo State) and non-polluted soil was collected from Ibadan (Oyo state). Tolerance study was conducted for 96 h s. Isolation and characterization of the most effective isolate from each location was done using cultural, physico-chemical and molecular methods. The tolerance level of the isolates from the different oil-polluted soils and their comparative growth performance on crude oil supplemented media decreases in the order: Azikoro - Ologbo - Otukpoti - Benin. MATS analysis showed that cell surfaces of Azikoro, Ologbo and Otukpoti strains exhibited 58–63 % adhesion to n-hexadecane and are hydrophobic strains while Benin strain possess 38% adhesion to n-hexadecane and are hydrophilic. The cell surfaces of isolates from Azikoro, Ologbo and Otukpoti are highly Lewis-acidic while that from Benin is highly Lewis-basic. Isolates from Benin-3, Ologbo-1, and Otukpoti-1 were shown to be gram positive while that from Azikoro was gram negative. 16S rDNA fingerprinting confirmed the identities of the isolates as follows: Paenalcaligenes suwonesis with accession numbers NR-133804.1 from Azikoro spillage site (93.77%); Lactobacillus nagelii with accession number NR-158108.1 (91.30%) from Benin spillage site; Lactobacillus fermentum with accession number NR-104927.1 (96.70%) from Ologbo and Otukpoti spillage sites. Phylogenetic analysis putatively categorized the isolates from Otukpoti and Ologbo in close association belonging to same homology while Benin isolate is a subgroup. The characteristics and biodiversity of all the isolated bacteria from the regions possibly justifies their involvement in the bioremediation of petroleum hydrocarbons.
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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 | 0.000 | 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 | 0.000 | 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 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".