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Record W2118202463 · doi:10.1139/g11-007

Quantitative evolution of transposable and satellite DNA sequences in <i>Picea</i> species

2011· article· en· W2118202463 on OpenAlexvenueno aff
V. Sarri, Marilena Ceccarelli, P. G. Cionini

Bibliographic record

VenueGenome · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyRetrotransposonSatellite DNAGenomeRepeated sequenceGeneticsTransposable elementDNA sequencingPloidyGenomic organizationgenomic DNADNAEvolutionary biologyGene

Abstract

fetched live from OpenAlex

Clones containing tandemly arranged repeats belonging to two distinct sequence families, (i) PAG004P22F (2F) and PAG004E03C (3C) or (ii) Ty3/gypsy- (8R; PAG004B08R) and Ty1/copia-like sequences (9R; PAG007F19R), were selected from a randomly sheared total genomic DNA library of Picea abies . The inserts were used as probes in dot-blot hybridizations to genomic DNA of P. abies, Picea orientalis , Picea pungens , and Picea pungens var. glauca. All these entities are diploid and share the same chromosome number (2n = 24), but the genome sizes differ largely. The redundancy (copy number per 1C DNA) of sequences related to each probe varied greatly between the genomes. No significant correlation was found between the genome size and the copy number of sequences in any family. The quantitative ratios varied greatly (in each genome) between the two families of satellite DNA, between the sequences that represented copia or gypsy retrotransposons, and between tandemly arranged sequences and retroelements as a whole, suggesting that there is no common factor that controls the quantitative evolution of repeats belonging to different sequence families during speciation in Picea.

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)0.001
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
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
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 head0.040
GPT teacher head0.205
Teacher spread0.164 · 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

Citations6
Published2011
Admission routes1
Has abstractyes

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