Candidate effectors contribute to race differentiation and virulence of the lentil anthracnose pathogen Colletotrichum lentis
Bibliographic record
Abstract
BACKGROUND: The hemibiotroph Colletotrichum lentis, causative agent of anthracnose on Lens culinaris (lentil) was recently described as a new species. During its interaction with the host plant, C. lentis likely secretes numerous effector proteins, including toxins to alter the plant's innate immunity, thereby gaining access to the host tissues for nutrition and reproduction. RESULTS: In silico analysis of 2000 ESTs generated from C. lentis-infected lentil leaf tissues identified 15 candidate effectors. In planta infection stage-specific gene expression waves among candidate effectors were revealed for the appressorial penetration phase, biotrophic phase and necrotrophic phase. No sign of positive selection pressure [ω (dN/dS) < 1] in effectors was detected at the intraspecific level. A single nucleotide polymorphism in the ORF of candidate effector ClCE6, used to develop a KASPar marker, differentiated perfectly between pathogenic race 0 and race 1 isolates when tested on 52 isolates arbitrarily selected from a large culture collection representing the western Canadian population of C. lentis. Furthermore, an EST encoding argininosuccinate lyase (Arg) was identified as a bacterial gene. A toxin protein ClToxB was further characterized as a potential host-specific toxin through heterologous in planta expression. The knock-down of ClToxB transcripts by RNAi resulted in reduced virulence, suggesting that ClToxB is a virulence factor. In silico analysis of the ClToxB sequence and comparative genomics revealed that ToxB is unlikely a foreign gene in the C. lentis genome. Incongruency between established species relationships and that established based on gene sequence data confirmed ToxB arose through evolution from a common ancestor, whereas the bacterial gene Arg identified in C. lentis was horizontally transferred from bacteria. CONCLUSIONS: EST mining and expression profiling revealed a set of in planta expressed candidate effectors. We developed a KASPar assay using effector polymorphism to differentiate C. lentis races. Comparative genomics revealed a foreign gene encoding a potential virulence factor Arg, which was horizontally transferred from bacteria into the genus Colletotrichum. ClToxB is further characterized as a host-specific toxin that is likely to contribute to quantitative differences in virulence between the races 0 and 1.
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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".