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Record W6986797902

Quantitative trait loci for spawning time and body weight in rainbow trout, testing for conserved effects across ancestral homeologues

2001· dissertation· en· W6986797902 on OpenAlexfundno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2001
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsnot available
FundersInstitut National de la Recherche AgronomiqueNorthwest Fisheries Science CenterDalhousie UniversityUniversity of Washington
KeywordsQuantitative trait locusSyntenyMicrosatelliteRainbow troutGenetic linkageAlleleLinkage (software)Chromosome
DOInot available

Abstract

fetched live from OpenAlex

I incorporated 53 microsatellite markers into an existing data set of 132 markers to construct an updated genetic linkage map of rainbow trout ('Oncorhynchus mykiss') spanning 26 linkage groups. Synteny of duplicated markers was used to confirm eight homeologous chromosome pairs. I detected eleven spawning time QTL and nine body weight QTL using segregating maternal and paternal alleles at 185 microsatellite loci. Spawning time QTL were conserved across two homeologous pairs with strong indication for three additional pairs. Body weight QTL were conserved across a single homeologous pair with compelling evidence for two additional pairs. Conservation was not universal as three spawning time and two body weight QTL were detected on a single homeologue. Three spawning time and four body weight QTL were detected on linkage groups with unknown homeologous relationships. This suggests that some duplicated genes controlling spawning time and body weight have been preserved in rainbow trout.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.022
GPT teacher head0.264
Teacher spread0.243 · 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

Citations0
Published2001
Admission routes1
Has abstractyes

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