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Record W2092496888 · doi:10.1139/g05-061

Microsatellite megatracts in the maize (<i>Zea mays</i>L.) genome

2005· article· en· W2092496888 on OpenAlexvenueno aff
E. V. Ananiev, Mark A. Chamberlin, J Klaiber, Sergei Svitashev

Bibliographic record

VenueGenome · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyMicrosatelliteZea maysGeneticsInbred strainGenomeRepeated sequenceGeneAlleleAgronomy

Abstract

fetched live from OpenAlex

Long tracts (megatracts) of (CAG)n, (TAG)n, and (GAA)n microsatellite sequences capable of forming composite DNA segments were found in the maize (Zea mays L.) genome. Some of the (CAG)n and (TAG)n megatracts were organized in clusters of up to 1 Mb on several chromosomes, as detected by fluorescence in situ hybridization (FISH), as well as on extended DNA fibers. Extensive polymorphism was found among different maize inbred lines with respect to the number and size of microsatellite megatract clusters on the A chromosomes. Polymorphism was also common among B chromosomes of different nuclei in the inbred line Zapalote Chico. Different retrotransposable elements were often inserted into the microsatellite tracts. Size variation in some (TAG)n and (GAA)n megatracts was observed in consecutive generations among siblings of the inbred lines, indicating that these loci are highly unstable and predisposed to dynamic mutations similar to those described in mammalian systems.

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 score0.004

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)0.0010.000

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 head0.016
GPT teacher head0.206
Teacher spread0.190 · 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

Citations18
Published2005
Admission routes1
Has abstractyes

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