Functional profiles and organochlorine degradation potential in microbial communities of tropical epilithic biofilms: a case study in Guadeloupe (Lesser Antilles)
Bibliographic record
Abstract
This study investigates the composition, structure, and predictive associated functions of epilithic bacteria living in the biofilms of a freshwater (FWR) and a mixed-saline (MSR) tropical river. High-throughput sequencing revealed a 69% overlap in species richness between the two sites. Cyanobacteria were dominant in freshwater, while heterotrophic classes like Alphaproteobacteria and Betaproteobacteria were prevalent in the mixed-saline biofilm. Predictive functional analysis (FAPROTAX) indicated greater diversity in MSR, favoring organic matter degradation and nutrient cycling, with more bacterial OTUs involved in chemoheterotrophy and hydrogen oxidation (Wilcoxon, p > 0.001). In contrast, FWR had a higher abundance of OTUs linked to phototrophy and degradation of aromatic compounds and plastics (Wilcoxon, p > 0.001). Key microbial interactions were revealed between phototrophic cyanobacteria and heterotrophs such as Fulvivirga (Cytophagia), suggesting a pivotal role for this genus in the carbon cycle. Additionally, bacterial species known for their ability to remove chlorine from pollutants, such as Acidovorax, Acinetobacter, Comamonas, Curvibacter, Sediminibacterium, or bacterial species belonging to the Sphingomonadaceae family were more diverse and abundant in FWR site. These findings point to promising bioremediation potential driven by biofilm community activities, particularly in tropical freshwater environments impacted by organochlorine contaminants.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".