BIOCONTROL OF ROOT ROT COMPLEX IN FIELD PEA AND LENTIL AND COMPLETE GENOME ANALYSIS OF BIOCONTROL BACTERIA
Bibliographic record
Abstract
Aphanomyces root rot (ARR), caused by the soil-borne oomycete pathogen, Aphanomyces euteiches, is a destructive disease of legumes, most notably to field pea (Pisum sativum L.) and lentil (Lens culinaris L.). It commonly occurs as root rot complex (RRC) along with other soil-borne pathogens, including Fusarium avenaceum and F. oxysporum, which collectively result in significant crop damage leading to complete loss of productivity. Currently, in Canada, the available management strategies against RRC are inadequate. However, a recent study at the University of Saskatchewan identified soil bacteria, Lysobacter capsici K-Hf-H2, Pseudomonas simiae K-Hf-L9 and Pantoea agglomerans PSV1-7, as potential biocontrol agents against ARR in field pea under controlled growth chamber condition. Therefore, the purpose of this study was to i) investigate the potential for biological control of RRC caused by A. euteiches, F. avenaceum and F. oxysporum and ii) unravel the mechanisms by which biocontrol was achieved. To achieve these objectives, L. capsici K-Hf-H2, P. simiae K-Hf-L9 and P. agglomerans PSV1-7 were evaluated against RRC in field pea and lentil under controlled growth chamber conditions, and the strains’ whole genomes were sequenced, annotated, and comparatively analyzed using bioinformatics tools. Also, laboratory-based general functional experiments, siderophores production, proteolytic and cellulolytic capacities, and desiccation tolerance were conducted. Additionally, the current state of the science "biological control of ARR" was determined via a quantitative meta-analysis review using data extracted from published articles investigating the biocontrol of ARR in pea. My meta-analysis findings suggest potential for biological control of ARR and the need for more field trials to demonstrate the higher efficacy level observed under growth chamber conditions. Compared to P. simiae K-Hf-L9 and P. agglomerans PSV1-7, L. capsici K-Hf-H2 demonstrated the highest significant biocontrol efficacy against RRC in field pea and lentil, with higher efficacy in field pea. Moreover, my genome analyses identified several genes and gene clusters encoding various traits potentially involved in the suppression of RRC. Such genetic determinants detected in L. capsici K-Hf-H2 genome include genes encoding for Heat Stable Antifungal Factor (HSAF), endoglucanase (cellulase), chitinase, extracellular zinc proteases (metalloendopeptidase), aminopeptidases and siderophores. In P. simiae K-Hf-L9 and P. agglomerans PSV1-7 genomes, gene and gene clusters encoding iron acquisition, chitin metabolism and protein degradation were detected. I also found evidence that L. capsici K-Hf-H2, P. simiae K-Hf-L9 and P. agglomerans PSV1-7 chelate iron through siderophore production and hydrolyze protein via proteolytic activity. Furthermore, L. capsici K-Hf-H2 and P. simiae K-Hf-L9 were positive for cellulolytic activity. Therefore, my findings indicate the great potential of biological control of RRC in field pea and lentil. Also, the findings in this study represent a significant contribution to the effort of biological control of RRC in field pea and lentil in Canada.
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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 | 0.001 |
| 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) | 0.000 | 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".