First Isolation and Identification of Agriphages in Vegetable Crops in West Africa (Côte d’Ivore): Potential Uses of Biocontrol in Plants
Bibliographic record
Abstract
Agriphages or bacterial viruses are ubiquitous in the environment. The discovery of virulent phages against phytobacteria improves crop growth and proposes biopesticide uses for plant diseases. In Africa, many phytobacteria like Ralstonia, Clavibacter, and Xanthomonas were reported in several regions. The study aims to evaluate the presence of agriphages for the biocontrol of phytobacteria in Côte d'Ivoire. Leaves and soil samples were collected from healthy and diseased plants, and in three sites located in Anyama, Abidjan, and Bingerville. The pretreatments occur with sterile and physiological water for leaves and soil samples respectively. The isolation of agriphages was done on specific media with Xanthomonas campestris as bacterial host. Lytic activity was tested on agar media for five bacteria strains. After DNA extraction using the Qiagen method kit, molecular confirmation of agriphages was done by Random Amplified Polymorphic DNA-PCR. From this study, five (5) agriphages were isolated in soil and leaves in site 2. These agriphages have all been isolated from Xanthomonas campestris and have a broad spectrum of lytic activity. Molecular characterization by RAPD-PCR showed that three of these agriphages are DNA phages. The dendrogram showed that phages ΦXanS1, ΦXanS2 have 93% similarities. While ΦXanS1 and ΦXanS2 are 62% similar to ΦXanF1. This study is the first reported agriphages in West Africa and their potential uses against phytobacteria for biocontrol infection in crops.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".