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Record W2786477868 · doi:10.1007/s00606-018-1494-3

Genome-wide nucleotide diversity and associations with geography, ploidy level and glucosinolate profiles in Aethionema arabicum (Brassicaceae)

2018· article· en· W2786477868 on OpenAlexaff
Setareh Mohammadin, Wei Wang, Ting Liu, Hamid Moazzeni, Kuddisi Ertuğrul, Tuna Uysal, Charalambos S. Christodoulou, Patrick P. Edger, J. Chris Pires, Stephen Wright, M. Eric Schranz

Bibliographic record

VenueÖsterreichische Botanische Zeitschrift · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics, phytochemicals, and oxidative stress
Canadian institutionsUniversity of Toronto
FundersNederlandse Organisatie voor Wetenschappelijk Onderzoek
KeywordsBrassicaceaeBiologyGenetic diversityGenomePloidyGeneticsEvolutionary biologyGeneBotanyPopulation

Abstract

fetched live from OpenAlex

The genus Aethionema is sister to the core Brassicaceae (including Arabidopsis thaliana ) and thus has an important evolutionary position for comparative analyses. Aethionema arabicum (Brassicaceae) is emerging as a model to understand the evolution of various traits. We generated transcriptome data for seven Ae. arabicum genotypes across the species range including Cyprus, Iran and Turkey. Combined flow cytometry and single nucleotide polymorphism (SNP) analyses identified distinct tetraploid (Iranian) and diploid populations (Turkish/Cypriot). The Turkish and Cypriot lines had a higher genome-wide genetic diversity than the Iranian lines. However, one genomic region contained genes with a higher diversity in the Iranian than the Turkish/Cypriot lines. Sixteen percent of the genes in this region were chaperonins involved in protein folding. Additionally, an analysis of glucosinolate profiles, chemical defence compounds of the Brassicaceae, showed a difference in diversity of indolic glucosinolates between the Iranian and Turkish/Cypriot lines. We showed that different Ae. arabicum individuals have different ploidy levels depending on their location (Iranian versus Turkish/Cypriot). Moreover, these differences between the populations are also shown in their defence compounds.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.017
GPT teacher head0.230
Teacher spread0.213 · 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.

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

Citations17
Published2018
Admission routes1
Has abstractyes

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