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Record W2416315281 · doi:10.1139/cjb-2016-0067

Genetic characterization of a red colour morph of <i>Euphorbia esula</i> subsp. <i>esula</i> (Euphorbiaceae) in the floodplains of the Saône (Eastern France)

2016· article· en· W2416315281 on OpenAlexvenueno aff
Matthew Augé, Marie‐Claude Bon, Laurent Hardion, Thomas Le Bourgeois, René Sforza

Bibliographic record

VenueBotany · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant and Fungal Species Descriptions
Canadian institutionsnot available
FundersOffice National de la Chasse et de la Faune SauvageAssociation Nationale de la Recherche et de la TechnologieBoise State UniversityU.S. Department of Agriculture
KeywordsBiologyLeafyEuphorbiaceaeBotanyChloroplast DNAWeedChloroplastGeneGenetics

Abstract

fetched live from OpenAlex

A new morph of leafy spurge, Euphorbia esula L., was discovered in the floodplains of the Val de Saône (VDS), France. In this region, this emerging weed shows two different morph colours: the common “green” variant and a rarer “red” variant. We compared the sequence data for the plastid trnT–trnF region among individuals of both morphs from the VDS, as well as other populations from Europe and North America, where this plant is invasive. In addition, we analysed the ploidy found among VDS individuals for both colours. Results showed that both morphs share two of the three chloroplast DNA (cpDNA) haplotypes found in the VDS and are both hexaploids (2n = 6x = 60). These results suggest that the red morph is only an environmental variant of E. esula subsp. esula. Our results indicate that leafy spurge infestations in this region form a genetically diverse structuring composed of three cpDNA haplotypes, two of which are shared by the two morphs.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.323

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 head0.008
GPT teacher head0.193
Teacher spread0.185 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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