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Record W4411401732 · doi:10.1126/sciadv.adt7970

A <i>Colletotrichum</i> -unique effector with the Cx <sub>11</sub> NC motif enhances plant NDPK2 kinase activity to suppress plant immunity

2025· article· en· W4411401732 on OpenAlexaff
Guangli Liu, Du You-Wei, Ming‐Hui Chen, Yiming Lu, Lu Liu, Wenrui Yang, Shuanghong Wang, Xiaofei Liang, Mingqi Zhu, Mark L. Gleason, Tom Hsiang, Rong Zhang, Guangyu Sun

Bibliographic record

VenueScience Advances · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAutophosphorylationEffectorVirulencePlant ImmunityBiologyImmunityPhosphorylationCell biologyKinaseProtein kinase AImmune systemBiochemistryGeneticsArabidopsisMutantGene

Abstract

fetched live from OpenAlex

Colletotrichum fungi cause destructive diseases among a wide range of hosts worldwide. We found that effector CfEC92 from C. fructicola specifically binds ATP through an unidentified ATP-binding domain, leading to changes in the protein secondary structure. The residues Cys 26 , Asn 38 , and Cys 39 were critical for ATP binding with CfEC92, and mutations at these sites impaired the ability to suppress host immunity. CfEC92 interacted with MdNDPK2, a negative immune regulator in apple. The CfEC92-ATP complex altered the conformation of MdNDPK2, enhancing its affinity for ATP, and further increasing its autophosphorylation and kinase activity. The activated MdNDPK2 phosphorylated MdMPK3 to suppress host immunity. Homology and functional tests showed that the Cx 11 NC motif was highly conserved among Colletotrichum species, suggesting that CNC effectors represent a class of broad-spectrum virulence factors. Our findings revealed a mechanism by which Colletotrichum effectors cooperate with helper ATP to promote target protein phosphorylation and suppress host immunity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.008
GPT teacher head0.229
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2025
Admission routes1
Has abstractyes

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