Whole-Genome Sequence Analysis of <i>Magnaporthe oryzae</i> Strain RB20
Bibliographic record
Abstract
Magnaporthe oryzae is a key model species for studying the evolution of phytopathogens and host adaptation due to its efficient virulence assays, genomic flexibility, and genetic tractability. In this study, we present a high-quality, chromosome-level genome assembly of the M. oryzae strain RB20, which provides key insights into its pathogenicity. The 45.60-Mb genome, assembled into 7 chromosomes with 99.7% BUSCO completeness, encodes 500 predicted effector proteins and 977 CAZymes, including virulence-associated chitinases implicated in host-pathogen interactions. Comparative genomic analysis revealed numerous structural variations between RB20 and other widely used strains 70-15, Guy11, and P131, primarily characterized by extensive repeat contractions, tandem expansions, large-scale deletions (>50 kb), and megabase-level repeat expansions. These genomic alterations are likely responsible for the observed differences in pathogenicity. Our findings provide valuable resources for advancing the understanding of M. oryzae evolution and for developing targeted strategies to control rice blast disease. [Formula: see text] Copyright © 2025 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .
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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 | 0.001 |
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".