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Record W4406902958 · doi:10.1094/phyto-08-24-0257-r

Prevalence of Mutations Associated with QoIs, QiIs, QioSIs, and CAA Fungicide Resistance Within <i>Plasmopara viticola</i> in North America and a Tool to Detect CAA-Resistant Isolates

2025· article· en· W4406902958 on OpenAlexaffabout
Nancy Sharma, Lexi Heger, David Combs, Wendy A. Smith, Leslie A. Holland, Phillip M. Brannen, Kaitlin M. Gold, Timothy D. Miles

Bibliographic record

VenuePhytopathology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsMinistry of Agriculture, Food and Rural Affairs
FundersMichigan State Horticultural Society
KeywordsPlasmopara viticolaBiologyFungicideDowny mildewTaqManBotanyGenotypeGeneticsGenePolymerase chain reaction

Abstract

fetched live from OpenAlex

Grape downy mildew, caused by Plasmopara viticola, poses a significant threat to grape cultivation globally. Early detection of fungicide resistance is critical for effective management. This study aimed to assess the prevalence and distribution of mutations associated with resistance to quinone outside inhibitor (FRAC 11), quinone inside inhibitor (FRAC 21), carboxylic acid amide (CAA, FRAC 40), and quinone inside and outside inhibitor, stigmatellin binding mode (FRAC 45) fungicides in P. viticola populations in the eastern United States and Canada and to evaluate whether these mutations are linked to fungicide resistance correlated with specific P. viticola clades. A total of 658 P. viticola samples were collected from commercial vineyards across different states and years in the eastern United States and Canada and sequenced for the PvCesA3 and cytb genes and the internal transcribed spacer (ITS)1 region. The results showed that P. viticola clades aestivalis, vinifera, and riparia were prevalent in the eastern United States and Canada. Quinone outside inhibitor resistance was widespread, and the A-143 resistant genotype was prevalent in P. viticola clades aestivalis and vinifera. The G143A mutation did not show specificity based on clade differentiation. CAA resistance, associated with the G1105S mutation, was mainly identified in P. viticola clade aestivalis from Georgia, New York, and Ontario. G1105-S1105 mixed-genotype samples were observed in P. viticola clades vinifera and riparia from Wisconsin, Michigan, and New York. However, mutations associated with quinone inside and outside inhibitor and quinone inside inhibitor fungicides were not detected. A TaqMan probe-based assay was developed to detect the G1105S mutation in P. viticola conferring CAA fungicide resistance. The TaqMan assay demonstrated sensitivity at low DNA concentrations and specificity in distinguishing between sensitive and resistant genotypes. The assay accurately distinguished the G1105S mutation in leaf and air samples. This study provides insight into the geographic distribution of fungicide resistance in P. viticola populations and presents a reliable method for detecting CAA resistance in P. viticola. These findings can be utilized to implement effective fungicide resistance management strategies in viticulture.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.751
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.243
Teacher spread0.232 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations6
Published2025
Admission routes2
Has abstractyes

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