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Record W1997766510 · doi:10.1139/x03-155

Comparative sequence analysis between orthologous regions of the<i>Arabidopsis</i>and<i>Populus</i>genomes reveals substantial synteny and microcollinearity

2003· article· en· W1997766510 on OpenAlexvenueno aff
Brigid Stirling, Zamin K. Yang, Lee E. Gunter, Gerald A. Tuskan, H. D. Bradshaw

Bibliographic record

VenueCanadian Journal of Forest Research · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsnot available
FundersU.S. Department of Energy
KeywordsSyntenyArabidopsisGenomeBiologyGeneticsGeneOrthologous GeneMutant

Abstract

fetched live from OpenAlex

More than 300 kb of DNA sequence from five Populus bacterial artificial chromosome (BAC) clones was compared with the complete sequence of the Arabidopsis genome to search for collinearity between the genomes of these two plant genera. Approximately 27% of the DNA sequences from the Populus genome were homologous to protein-coding regions in the Arabidopsis genome. BLAST scores and synteny were used to infer orthologous relationships between the Populus and Arabidopsis homologs. The probability that any pair of genes on a single Populus BAC will have orthologs on the same Arabidopsis chromosome is 46%–58%, substantially greater than the 20% expectation if there is no conservation of synteny between the Populus and Arabidopsis genomes. Likewise, the probability that any pair of genes on a single Populus BAC will have orthologs on a single Arabidopsis BAC is 19%–25%, much higher than the 0.1% expected if the orthologs are randomly distributed. These results provide evidence for substantial "pockets" of conserved microcollinearity between regions of the Populus and Arabidopsis genomes as well as for conservation of synteny even when local gene collinearity is not preserved during genome evolution.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.100
GPT teacher head0.317
Teacher spread0.217 · 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 designBench or experimental
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

Citations28
Published2003
Admission routes1
Has abstractyes

Explore more

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