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Variability of P26 and P10 genes in Colombian isolates of Potato yellow vein virus (PYVV)

2019· article· en· W2977948764 on OpenAlexfundno aff
Teresa Mosquera, Angela M. Vargas

Bibliographic record

VenueAgronomía Colombiana · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsnot available
FundersGlobal Affairs CanadaInternational Development Research Centre
KeywordsBiologyGenePotato virus YGenomeGeneticsVirusVirologyPlant virusHorticultureBotany

Abstract

fetched live from OpenAlex

Potato yellow vein virus (PYVV) is the causal agent of the potato yellow vein disease and can reduce potato production up to 50%. This virus also infects tomatoes and can remain asymptomatic in plants. PYVV transmission is mediated by vegetative seed, the vector Trialeurodes vaporariorum, and grafts. Its genome has the P26 and P10 genes that are orthologues in the Crinivirus genus, which have been characterized as pathogenic factors and have not been studied in PYVV. We analyzed the variability of P26 and P10 from 45 and 48 sequences, which were obtained by RT-PCR amplification of the total RNA of symptomatic potato leaves from the provinces of Nariño, Cundinamarca, and Boyaca (Colombia). We included sequences of each gene of the PYVV genome of potato and tomato isolates from GenBank. The variability in these genes is influenced by the flow and uncontrolled use of vegetative seed between different provinces, that favor the dispersion of viral variants. In addition, the variability analysis based on maximum likelihood trees, haplotypes, and diversity indices showed that P26 is more variable than P10 and both are more variable in Andigena than in Phureja potatoes. The Tajima and Fu and Li tests revealedthat these genes are subject to negative selection.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score0.831

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 head0.014
GPT teacher head0.224
Teacher spread0.210 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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