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Record W1900692088 · doi:10.4141/cjps2011-197

Viruses as triggers of DNA rearrangements in host plants

2012· article· en· W1900692088 on OpenAlexvenueno aff
Larisa Andronic

Bibliographic record

VenueCanadian Journal of Plant Science · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyMeiosisChiasmaHomologous chromosomeLycopersiconBivalent (engine)AnaphaseGeneticsChromosomeHordeum vulgareBotanyGene

Abstract

fetched live from OpenAlex

Andronic, L. 2012. Viruses as triggers of DNA rearrangements in host plants. Can. J. Plant Sci. 92: 1083–1091. Assessment of microsporogenesis in tomato (Lycopersicon esculentum, cultivars Fachel, Nistru and Prizior) infected with tomato aspermy virus or potato virus X and barley (Hordeum vulgare L., cultivars Galactic, Sonor, Unirea) infected with barley stripe mosaic virus showed deviations in the conjugation of homologous chromosomes and segregation of genetic material, expressed in the disruption of chromatin cohesion between homologous chromosomes. The evidence of meiotic division in targeted genotypes indicates the effect of viral infection on chiasmata number and position, promoting the redistribution of chiasmata. On the basis of cytological study, significant changes and the induction of additional exchanges offset by asynapsis were established in early diakinesis. Different parameters, determined at particular stages of meiosis, such as chromosome aberration and the mean percentage of abnormal pollen mother cells, served as cytogenetic evaluation of microsporogenesis in virus-infected tomato or barley cultivars. The study of meiotic stability in anaphase and telophase I and II revealed a significant increase in different types of abnormalities: elimination or/and lagging chromosomes, formation of chromosome and chromatid bridges with or without fragments. Reviewed examples provide data regarding genetic rearrangements in host plants as a response to viral infection.

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)0.001
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 score0.794
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.068
GPT teacher head0.279
Teacher spread0.211 · 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

Citations20
Published2012
Admission routes1
Has abstractyes

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