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Record W2120621084 · doi:10.1093/molbev/msi104

Evolution of RAG-1 in Polyploid Clawed Frogs

2005· article· en· W2120621084 on OpenAlexaff
Ben J. Evans

Bibliographic record

VenueMolecular Biology and Evolution · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBiologySubfunctionalizationGeneticsGeneMost recent common ancestorPolyploidEvolutionary biologyPhylogenetic treePloidyGenomeGene family

Abstract

fetched live from OpenAlex

Possible genetic fates of a gene duplicate are silencing, redundancy, subfunctionalization, or novel function. These different fates can be realized at the DNA, RNA, or protein level, and their genetic determinants are poorly understood. We explored molecular evolution of duplicated RAG-1 genes in African clawed frogs (Xenopus and Silurana) (1) to examine the fate of paralogs of this gene at the DNA level in terms of recombination, positive selection, and gene degeneration and in the absence of extensive recombination among alleles at different paralogs, (2) to test phylogenetic hypotheses about the origins of polyploid species. We found that recombination between different RAG-1 paralogs is infrequent, that degeneration of some paralogs has occurred via stop codons and frameshift mutations, and that this degeneration occurred in paralogs inherited from only one diploid progenitor species. Simulations and phylogenetic analyses of RAG-1 and mitochondrial DNA support one origin of extant tetraploids in Xenopus and at least one origin in Silurana, five allopolyploid origins of extant octoploids, and two allopolyploid origins of extant dodecaploids. In allopolyploid species, which inherit a complete genome from two different ancestors, genes inherited from the same ancestor have a longer period of coevolution than genes inherited from different ancestors. Because of this, gene ancestry could potentially influence gene fate: interacting paralogs derived from the same lower ploidy ancestor might have similar genetic destinies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.893
Threshold uncertainty score0.126

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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 teacher head, 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

Citations93
Published2005
Admission routes1
Has abstractyes

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