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Record W4309246145 · doi:10.1094/pdis-08-22-1809-re

Detection of <i>Ilyonectria pseudodestructans</i> from Potato by RNase H-Dependent PCR (rhPCR) and rh-Quantitative PCR (rhqPCR)

2022· article· en· W4309246145 on OpenAlexafffund
Junye Jiang, Will Feindel, Michael W. Harding, David Feindel, Stacey Bajema, Jie Feng

Bibliographic record

VenuePlant Disease · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsAlberta HealthAgriculture Food and Rural Development
FundersResults Driven Agriculture Research
KeywordsBiologyRNase Pgenomic DNAGenePolymerase chain reactionDNAMolecular biologyGeneticsPathogenRNA

Abstract

fetched live from OpenAlex

Ilyonectria pseudodestructans, a plant pathogen that is known to cause root rot on fruit trees such as grapevine and apple, has recently been reported to also cause tuber decay in potato. The increasing risk of this pathogen on various horticultural crops makes it essential to develop a rapid and accurate detection method. In this study, an RNase H-dependent PCR (rhPCR) protocol and a modified probe-based rh-quantitative PCR (rhqPCR) protocol for I. pseudodestructans detection were developed. Both the forward and reverse primers for rhPCR and rhqPCR carry an RNA nucleotide at the site where a single-nucleotide polymorphism between I. pseudodestructans and strains of other Ilyonectria spp. is located, and the rhqPCR also contains a fluorescent-labeled target-specific probe. The primers were designed based on the sequence of the histone H3 gene and could amplify a DNA fragment of 73 bp. In the specificity test, by alignment via the BLASTn tool, the RNA nucleotide bases on both the forward and the reverse primers were identical to the corresponding genomic site of 16 of 17 (94.1%) database-available I. pseudodestructans strains, and different from 43 of 44 (97.7%) database-available strains of other Ilyonectria spp. When the rhPCR and rhqPCR protocols were applied on 11 I. pseudodestructans strains and 46 other strains of different species of plant pathogens, all of the I. pseudodestructans strains generated positive reactions whereas all of the other strains were negative, which indicated an excellent specificity of the primers. In the sensitivity test, the lowest DNA template amount for a positive reaction using the rhPCR and rhqPCR methods was 2 pg for I. pseudodestructans genomic DNA. When testing the rhqPCR method on gBlock, the lowest number of molecules for a positive reaction was six. These results indicated a high sensitivity of the protocol for I. pseudodestructans detection. To our knowledge, this is the first report of a probe-based rhqPCR to be applied to plant disease diagnosis; in addition, this is also the first rapid molecular protocol to detect I. pseudodestructans. The new rhPCR and rhqPCR methods have a potential to be applied by plant disease diagnostic labs for their routine work.

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)0.001
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
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.008
GPT teacher head0.210
Teacher spread0.201 · 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

Citations4
Published2022
Admission routes2
Has abstractyes

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