MétaCan
Menu
Back to cohort
Record W2173240569 · doi:10.1080/07060661.2015.1119733

Loop-mediated isothermal amplification assay for sensitive and rapid detection of<i>Phytophthora capsici</i>

2015· article· en· W2173240569 on OpenAlexvenueno aff
Zhongmei Dong, Peiqing Liu, Benjin Li, Guoliang Chen, Qiyong Weng, Qinghe Chen

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsPhytophthora capsiciOomycetePepperLoop-mediated isothermal amplificationBiologyHorticultureBotanyPathogenMicrobiologyDNAGenetics

Abstract

fetched live from OpenAlex

Phytophthora capsici is an oomycete plant pathogen that infects peppers, tomatoes, and other agronomic and ornamental crops of the Solanaceae and Cucurbitaceae families worldwide. Early and accurate detection of P. capsici is essential for controlling this disease in the field. The internal transcribed spacer (ITS) regions of nuclear-encoded ribosomal DNA genes are widely used to detect Phytophthora nicotianae, Pythium helicoides and Peronospora variabilis. In this study, a novel and highly sensitive loop-mediated isothermal amplification (LAMP) assay was developed for the specific detection of P. capsici using calcein as a fluorescent indicator. Four LAMP primers were designed based on the ITS sequence of P. capsici. A total of 23 isolates of P. capsici from geographically distinct counties in China yielded positive results in the LAMP assay. No cross-reaction was observed with other oomycetes or fungal pathogens. The detection limit of P. capsici by LAMP was 100 fg genomic DNA per 25 μL reaction. The LAMP assay developed in this study is simple, fast, sensitive and specific, and can be used in the field to detect P. capsici in infected plant tissue.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.850
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.023
GPT teacher head0.196
Teacher spread0.173 · 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 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

Citations18
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Plant PathologySame topicPlant Pathogens and ResistanceFrench-language works237,207