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Record W2208164125 · doi:10.1139/gen-2014-0147

Identification and analysis of retrogenes in the East Asian nematode <i>Caenorhabditis</i> sp. 5 genome

2015· article· en· W2208164125 on OpenAlexvenueno aff
Kun Zhou, Ming Zou, Mingyue Duan, Shunping He, Guoxiu Wang

Bibliographic record

VenueGenome · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsBiologyGenomeChimeric geneCaenorhabditis elegansCaenorhabditisGeneticsGeneNematodeComputational biology

Abstract

fetched live from OpenAlex

Retroposition, a molecular mechanism generating new genes, helps the formation of retrogenes and new functions, contributing to the evolution of genomes. The completed genome sequence of Caenorhabditis sp. 5 presents an excellent opportunity to identify retrogenes within C. sp. 5. We identified a total of 43 retrogenes and their corresponding chimeric genes. Among these, 29 were found to be intact retrogenes and 14 to be retropseudogenes. Unexpectedly, a high number of retrogenes appear to be functional and possibly involved in catalysis. Also, the proportion of the retrogenes forming chimeric structure is the highest among Caenorhabditis nematodes. In addition, the Ks distribution shows that C. sp. 5 has more retrogenes with high Ks, which may explain the high functionality of them among Caenorhabditis species. Our study will be helpful in the understanding of the functional and evolutionary impact of retroposition on C. sp. 5 genome.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.024
GPT teacher head0.221
Teacher spread0.197 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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