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Record W2785105744 · doi:10.22215/etd/2017-12100

Genome Assembly of Camelina microcarpa Andrz. Ex DC, A step towards understanding genome evolution in Camelina

2017· dissertation· en· W2785105744 on OpenAlexaff
Beatriz E. Lujan Toro

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid metabolism and biosynthesis
Canadian institutionsCarleton UniversityMcGill University and Génome Québec Innovation CentreSickKids FoundationHospital for Sick ChildrenAgriculture and Agri-Food Canada
Fundersnot available
KeywordsCamelinaCamelina sativaBiologyPloidyGenomeBotanyEvolutionary biologyCropGeneticsGeneBiotechnologyEcology

Abstract

fetched live from OpenAlex

Understanding how genomes evolve can help us disentangle the evolutionary history of species, which has practical applications in agriculture.The Camelina genus contains nine species including the emerging oilseed crop, Camelina sativa, and its wild relative, Camelina microcarpa.Hexaploid C. microcarpa is almost perfectly sexually compatible with C. sativa, and diploid C. microcarpa is a potential descendant of one of C. sativa's progenitors.Thus, these species are likely to have a complex history of hybridization and polyploidy that is unexplored.We have sequenced and assembled a draft genome of diploid C. microcarpa into 1036 scaffolds which cover 73% of the 264 Mb estimated genome size, and evaluated its evolutionary relationship with the chromosomes of C. sativa through the construction of phylogenies for each conserved ancestral crucifer karyotype (ACK) block.Based on these phylogenies, I propose revisions to the previously described C. sativa karyotype and that C. microcarpa is most closely related to subgenome 2 of C. sativa.Sequencing C. microcarpa is the key step to understand genome evolution in the Camelina genus.

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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.019
GPT teacher head0.266
Teacher spread0.246 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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