Uncovering genetic population structure of Puccinia coronata f. sp. avenae in Canada and identifying effective sources of resistance in oat
Bibliographic record
Abstract
Oat crown rust (caused by the fungus Puccinia coronata var avenae f. sp. avenae) is a destructive fungal disease that causes significant yield losses in the oat crop in Canada. The genomic diversity of the pathogen population is crucial for understanding its adaptation and evolution to new hosts and environments. In this study, we aimed to (1): detect the genomic diversity of Puccinia coronata var avenae f. sp. avenae (Pca) in Canada using high-throughput sequencing data and (2): determine novel effective sources of resistance genes effective against oat crown rust among a set of 21 parental lines. The primary objective of this study is to determine whether reproducing clonal individuals in the Eastern Prairie region (Manitoba and eastern Saskatchewan) are genetically distinct from sexually reproducing individuals found in Eastern Canada (Ontario and Quebec). Genomic data from 82 Pca isolates, collected from diverse locations across Canada, were sequenced using Illumina NovaSeq6000 sequencing. Raw short sequence data of another 60 US isolates were also included in this study. Comprehensive bioinformatics pipelines were employed for quality control, mapping, and variant calling of the sequencing data. The analysis utilized four primary tools, encompassing both parametric (PCA) and non-parametric (DAPC) clustering approaches, as well as model (RAxML-NG) and non-model-based (STRUCTURE) structural analyses. Population genetic analysis revealed a relatively low level of genetic variation among the Canadian Pca population, indicating limited diversity. The population displayed distinct genetic patterns based on geographical regions, specifically the Eastern Prairie region and Eastern Canada, with discernible patterns of genetic differentiation over time, while a limited number of U.S. isolates were organized based on temporal considerations. Screening of 21 parental lines identified Leggett as the most resistant cultivar against multiple Pca isolates with virulence on 17 Pc genes, highlighting its usefulness as a parent in Canadian breeding programs. Overall, our study provides critical insights into the genomic diversity of Pca in Canada, enhancing our understanding of its evolution and adaptation to new hosts and environments. These scientific findings will serve as a foundation for developing effective strategies to combat oat crown rust 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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".