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Record W2072561379 · doi:10.1139/g11-057

Molecular evolution of candidate sour taste receptor gene<i>PKD1L3</i>in mammals

2011· article· en· W2072561379 on OpenAlexvenueno aff
Da‐Zhi Chen, Ping Li, Wenhu Guo, Fang Ye, Damu Wei, Zhiyun Guo, Chun Ye

Bibliographic record

VenueGenome · 2011
Typearticle
Languageen
FieldNursing
TopicBiochemical Analysis and Sensing Techniques
Canadian institutionsnot available
FundersFundamental Research Funds for the Central Universities
KeywordsBiologyGenePositive selectionNegative selectionGeneticsCandidate geneEvolutionary biologyGenome

Abstract

fetched live from OpenAlex

The PKD1L3 gene encodes an ion channel protein that can interact with the PKD2L1 protein to form a candidate sour taste receptor. In the present study, we have analyzed the evolutionary patterns of PKD1L3 genes from 10 mammalian species. The results showed that PKD1L3 genes have evolved under a dominant purifying selection force. However, for some branches and sites, PKD1L3 genes were detected to have been operated by positive selection. Moreover, some of these positive evolutionary sites are likely to participate in acid stimulus recognition. In rodents, PKD1L3 genes evolved more rapidly than other mammalian lineages. Combined with other functional research reports, our results suggest that rodents may not be the most appropriate model for functional research on the PKD1L3 gene.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.416

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 head0.013
GPT teacher head0.216
Teacher spread0.204 · 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 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

Citations3
Published2011
Admission routes1
Has abstractyes

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