Transcriptome analysis reveals a complex interplay between resistance and effector genes during the compatible lentil-Colletotrichum lentis interaction
Bibliographic record
Abstract
Colletotrichum lentis is a hemibiotrophic pathogen and causes anthracnose on lentil. To understand the molecular mechanism underlying the symptomatic phase of infection, a cDNA plasmid library was developed from the susceptible lentil cultivar Eston infected with an isolate of the virulent race 0 of C. lentis. The library was sequenced on the Sanger sequencing platform, generating a total of 11,094 expressed sequence tags (ESTs) representing 3,488 unigenes. Mapping of unigenes onto the C. lentis and the L. culinaris genomes resulted in the identification of 2,418 unigenes of fungal origin and 1,070 unigenes of plant origin. Gene ontology term analysis of unigenes revealed that the transcriptome contained 22 candidate effectors, such as in planta induced ToxB and CyanoVirin-N, and 26 resistance genes, including suppressor of npr1-1 constitutive 1 and dirigent. Comparative genomics analyses revealed that three of the candidate effectors are likely located in the subtelomeric regions, and two of them show no synteny with the closely related species C. higginsianum, suggesting genomic rearrangements, such as translocation during speciation to colonize different niches. The data suggest a complex molecular interplay between disease resistance proteins and effectors during compatible interaction in which the pathogen exploits defense responses mounted by the host.
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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 | 0.000 | 0.000 |
| 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".