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Record W2029908630 · doi:10.1159/000097428

Genome organization of glutamine synthetase genes in rainbow trout <i>(Oncorhynchus mykiss)</i>

2007· article· en· W2029908630 on OpenAlexaff
Karim Gharbi, Brent W. Murray, Hooman K. Moghadam, Moira M. Ferguson, Patricia A. Wright, Roy G. Danzmann

Bibliographic record

VenueCytogenetic and Genome Research · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsUniversity of Northern British ColumbiaUniversity of Guelph
Fundersnot available
KeywordsRainbow troutBiologyGeneGeneticsGenomeTroutGene duplicationFish <Actinopterygii>Fishery

Abstract

fetched live from OpenAlex

Unlike mammals, bony fish appear to possess multiple genes encoding glutamine synthetase (GS), the nitrogen metabolism enzyme responsible for the conversion of glutamate and ammonia into glutamine at the expense of ATP. This study reports on the development of genetic markers for each of the four isoforms identified thus far in rainbow trout (Oncorhynchus mykiss) and their genome localization by linkage mapping. We found that genes coding for GS01, GS02, GS03, and GS04 map to four different linkage groups in the trout genome, namely RT-24, RT-23, RT-08, and RT-13, respectively. Linkage groups RT-23 and RT-13 appear to represent distinct chromosomes sharing duplicated marker regions, which lends further support to the previous suggestion that GS02 and GS04 may be duplicate gene copies that evolved from a whole-genome duplication in the trout ancestor. In contrast, there is at present no further evidence that RT-24 and RT-08 share ancestrally homologous segments and additional genomic studies will be needed to clarify the evolutionary origin of genes coding for GS01 and GS03.

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 score0.010
Threshold uncertainty score0.019

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 head0.024
GPT teacher head0.290
Teacher spread0.266 · 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

Citations5
Published2007
Admission routes1
Has abstractyes

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