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Record W1682193298 · doi:10.1139/cjb-2012-0159

Low chloroplast diversity despite phylogenetically divergent haplotypes in Japanese populations of <i>Ailanthus altissima</i> (Simaroubaceae)

2012· article· en· W1682193298 on OpenAlexvenueno aff
Hiroyuki Kurokochi, Yoko Saito, Misaki Chuman, Yuji Ide

Bibliographic record

VenueBotany · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhytochemical compounds biological activities
Canadian institutionsnot available
FundersJapan Society for the Promotion of Science
KeywordsAilanthus altissimaSimaroubaceaeBiologyHaplotypeGenetic diversityChloroplast DNAPopulationBotanyPhylogenetic treeAlleleGeneticsGene

Abstract

fetched live from OpenAlex

Ailanthus altissima (Mill.) Swingle (Simaroubaceae) has succeeded in expanding its distribution widely over the past 100 years in Japan. We investigated which maternal lines of A. altissima are expanding in Japan and whether the introduced populations are different in various regions of Japan. Chloroplast DNA polymorphisms were analyzed on A. altissima trees (n = 449) sampled from 64 nonindigenous Japanese populations and four indigenous Chinese populations. Six haplotypes were identified. Three haplotypes (H1, H2, and H3) were observed in Japan, whereas four (H3, H4, H5, and H6) were detected in Chinese populations. Most A. altissima trees in Japan harbor either H1 or H3, and these two haplotypes were not genetically similar. Analysis of molecular variation showed some genetic differentiation among populations. In addition, significant isolation by distance was not detected. Twenty-two Japanese populations contained two haplotypes within each population, whereas the other 42 Japanese populations were composed of only one haplotype. These results indicate that Japanese populations of A. altissima may have derived from a limited number of seed introductions, but they were then widely spread in various regions.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.247
Teacher spread0.224 · 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".

Quick stats

Citations20
Published2012
Admission routes1
Has abstractyes

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