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Unveiling subgroups of 16SrIII phytoplasmas affecting Trillium sp. and Melothria pendula in Brazil and Canada

2019· article· en· W2962728765 on OpenAlexaboutno aff
H. G. Montano, Yaima Arocha Rosete

Bibliographic record

VenuePhytopathogenic Mollicutes · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytoplasmas and Hemiptera pathogens
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyVeterinary medicineMedicine

Abstract

fetched live from OpenAlex

Melothria pendula and Trillium spp. are important weed species in Brazil and Canada. M. pendula plants showing symptoms of chlorosis, little leaf and leaf malformation and T. grandiflorum and T. erectum exhibiting virescence were tested for phytoplasma presence by nested PCR with primers that amplify the 16S rRNA, ribosomal protein, and secA genes, and subjected to RFLP and sequencing analyses. A phytoplasma of group 16SrIII was identified from M. pendula and classified as a new variant of subgroup 16SrIII-U. The 16SrIII phytoplasmas, first reported in T. grandiflorum and T. erectum in Ontario in 2016 were classified as members of the subgroup 16SrIII-F. Besides, one strain from each Trillium species examined, corresponded to a new variant of subgroup 16SrIII-F (for T. grandiflorum) and a new variant of subgroup 16SrIII-J (for T. erectum). Results refer to the first report of a phytoplasma affecting M. pendula, and the identification of new variants of 16SrIII phytoplasma subgroups in Melothria and Trillium species, which may pose a threat for the spread of 16SrIII phytoplasmas to other plant species grown nearby.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.006
GPT teacher head0.186
Teacher spread0.180 · 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 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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Citations1
Published2019
Admission routes1
Has abstractyes

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