Taxonomic identification of rhizospheric actinobacteria isolated from Algerian semi-arid soil exhibiting antagonistic activities against plant fungal pathogens
Bibliographic record
Abstract
The rhizosphere is a rich source of actinobacteria and some members of this bacterial group present strong abilities in the biocontrol of plant diseases. In the present study, 72 strains of actinobacteria were isolated from different rhizospheric semi-arid soils collected in Algeria. Their in vitro antagonistic activity was assayed toward the following plant pathogenic fungi: Verticillium dahliae, Fusarium culmorum, Drechslera teres, Microdochium nivale, Bipolaris sorokiniana, Botrytis fabae and Fusarium oxysporum. All isolates showed chitinolytic activity and six isolates (Lac1, Lac3, Vic8, Pin10, Pru14 and Pru16), which inhibited the growth of five or more of the fungi tested, were selected for further study. According to morphological and physiological characteristics, as well as phylogenetic analysis of 16S rRNA gene sequences, isolates Lac1, Lac3, Pru14 and Pru16 were identified as members of the genus Streptomyces, namely S. griseus, S. rochei, S. anulatus and S. champavatii, respectively. Two isolates, Vic8 and Pin10, were associated with the Nocardiopsis genus and identified as N. dassonvillei subsp. dassonvillei and N. alba, respectively. While antagonism of Streptomyces has been demonstrated against a wide variety of plant pathogens, only a few studies have reported production of antifungal products by the genus Nocardiopsis.
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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 | 0.000 | 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".