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Record W2042174915 · doi:10.1139/g06-092

Sequence homology of polymorphic AFLP markers in garlic (Allium sativum L.)

2006· article· en· W2042174915 on OpenAlexvenueno aff
Meryem İpek, Ahmet İpek, Philipp W. Simon

Bibliographic record

VenueGenome · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGarlic and Onion Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAmpliconBiologyAmplified fragment length polymorphismGeneticsHomology (biology)Genetic diversityGenetic markerPolymerase chain reactionGenePopulation

Abstract

fetched live from OpenAlex

Linkage mapping and genetic diversity studies with DNA markers in plant species assume that comigrating bands are identical, or at least that they have homologous sequences. To test this assumption in a plant with a large genome, sequence identities of 7 polymorphic amplified fragment length polymorphism (AFLP) markers of garlic, previously used to estimate similarity in genetic diversity studies, were characterized. Among 37 diverse garlic clones, 87 bands from these 7 polymorphisms were excised, amplicons were cloned, and 2 to 6 colonies were sequenced from each band, to yield a total of 191 DNA amplicons. Of these 87 bands, 83 bands (95.4%) contained AFLP amplicons that were identical or highly homologous to the typical marker of that band; only 4 bands contained amplicons with little homology to the same-sized amplicons of other garlic clones. Of these 83 bands, 64 (73.6%) contained only highly homologous amplicons (>90% sequence identity), whereas 19 (21.8%) contained both homologous and nonhomologous amplicons, with sequence identities less than 60%. Of the 37 nonhomologous amplicons identified, 25 (67.5%) differed in length from other amplicons in the band. Sequence conservation of AFLP amplicons followed patterns similar to phylogenetic relationships among garlic clones, making them useful for developing simple PCR-based markers in genetic mapping and diversity assessment.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score0.459

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 head0.022
GPT teacher head0.211
Teacher spread0.189 · 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
Published2006
Admission routes1
Has abstractyes

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