MétaCan
Menu
Back to cohort
Record W2010448317 · doi:10.1080/07060661.2015.1035754

Diagnostics of stem and bulb nematodes,<i>Ditylenchus weischeri</i>and<i>D. dipsaci</i>(Nematoda: Anguinidae), using PCR with species-specific primers

2015· article· en· W2010448317 on OpenAlexafffundvenue
Mehrdad Madani, Mario Tenuta, V. N. Chizhov, Sergei A. Subbotin

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsUniversity of Manitoba
FundersAlberta Crop Industry Development Fund
KeywordsBiologyBotanyNematodeWeedCirsium arvenseBulbObligate parasitePrimer (cosmetics)Parasite hostingHost (biology)Ecology

Abstract

fetched live from OpenAlex

The stem and bulb nematodes of the Ditylenchus dipsaci (Kühn) Filipjev species complex are obligate endoparasites of various agricultural plants, causing stunting and swelling and resulting in significant economic losses. Recently, a new closely related Ditylenchus species, D. weischeri Chizhov, Borisov and Subbotin, a parasite of the cosmopolitan herbaceous perennial weed, Cirsium arvense (L.) Scop., was described. Many countries impose quarantine restrictions for the presence of D. dipsaci in imported plant and soil materials. In the current study, we developed PCR with species-specific primers for the rapid and reliable separation of D. weischeri and D. dipsaci using gel electrophoresis and melting curve analysis. Species-specific primer sets were designed based on the nucleotide sequence of the heat shock protein (hsp90) gene for both nematode species. The PCR protocol was verified using samples of D. weischeri, D. dipsaci and the closely related species, D. gigas, which parasitizes broadbean (Vicia faba L.). The species-specific primer sets were able to detect D. weischeri and D. dipsaci from samples containing mixtures of Ditylenchus species. The PCR species-specific protocol should allow for more rapid identification of Ditylenchus species recovered from plant materials than previously possible.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.275

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.055
GPT teacher head0.193
Teacher spread0.138 · 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

Citations18
Published2015
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Plant PathologySame topicNematode management and characterization studiesFrench-language works237,207