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Record W1615562275 · doi:10.4161/psb.2.2.3639

Sensing of Elevating CO<sub>2</sub>in a Marine Diatom

2007· article· en· W1615562275 on OpenAlexaff
Yusuke Matsuda, Hisashi Harada, Kensuke Nakajima, Brian Colman

Bibliographic record

VenuePlant Signaling & Behavior · 2007
Typearticle
Languageen
FieldEnergy
TopicAlgal biology and biofuel production
Canadian institutionsYork University
Fundersnot available
KeywordsPhaeodactylum tricornutumBiologyDiatomPsychological repressionCarbonic anhydrasePromoterAlgaeGeneTranscription (linguistics)Cell biologyEnzymeBiochemistryGene expressionBotany

Abstract

fetched live from OpenAlex

One of the critical parts of the CO(2) perception mechanisms in algae has now been identified in a marine diatom, an important finding since diatoms are the major primary producer in the ocean. Increasing CO(2) might probably be sensed directly by the cAMP forming enzyme, adenylyl cyclase, and cytosolic cAMP represses expression of CCM components in marine diatoms. Upstream sequences of CO(2)-responsive genes, ptca1 and 2, for carbonic anhydrases (CA) in the marine diatom Phaeodactylum tricornutum, were recently isolated and characterized. Promoters for both ptca1 and 2 possess at least 5 CREs respectively at -10 to -330 and at -330 to -630 relative to each transcription-start site. Our recent experiments clearly showed that one of CREs, located at -70 to -63 of the ptca1 promoter, exhibited a primary role in repressing the ptca1 promoter under high CO(2) or in the dark. Truncations of CREs in the ptca2 promoter also resulted in derepressions of the ptca2 gene in high CO(2). This addendum will discuss the implication of acquiring repression systems for the CCM and the possible impact of the repression of the CCM following a direct perception of elevated [CO(2)] in the marine environment.

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)0.001
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 score0.097
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.249
Teacher spread0.230 · 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

Citations4
Published2007
Admission routes1
Has abstractyes

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