MétaCan
Menu
← Back to cohort

Teamwork Makes The Dream Work: A Cyanobacterial RNA Helicase Is Regulated by Multiple Cis‐Regulatory Elements in Response to Low Temperature

2021· article· en· W3170916782 on OpenAlexaff
Logan Brand, George W. Owttrim

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Community Ecology and Physiology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBiologyRNAOperonRNA Helicase AHelicasePromoterGeneticsGeneGene expressionCell biologyMutant

Abstract

fetched live from OpenAlex

RNA helicases are enzymes involved in, and necessary for, the proper functioning of all aspects of RNA metabolism, working as molecular motors by interacting with, and modifying, RNA and ribonucleoprotein secondary structures. Thus, they are ideally situated to function as regulators of gene expression. In bacteria, the expression of a DEAD‐box RNA helicase is often responsive to particular abiotic stress(es), which allows them to fulfill vital roles in coordinating the cell's genetic response to altered environmental conditions. The freshwater cyanobacterium Synechocystis sp. PCC 6803 encodes a single DEAD‐box helicase, crhR , which accumulates in response to multiple abiotic stresses, including low temperature (20°C). While crhR deletion does not affect cell viability at its optimal growth temperature, 30°C, crhR mutants exhibit an extreme cold sensitive phenotype. Although the accumulation of transcript and protein during cold stress have been characterized, we predicted that the temperature regulatory mechanism would involve a combination of DNA and RNA cis‐acting elements. crhR is encoded within the dicistronic rimO ‐ crhR operon. Previous analysis has indicted the presence of two promoters, an operonic rimO promoter (P rimO ) and an internal promoter (P crhR ). We hypothesized that crhR transcript abundance could therefore be modulated by the promoter‐associated 5’ untranslated regions (UTRs), the 3’ UTR, and an RNA processing site between the two open reading frames. In order to characterize the regulatory effects of these RNA sequences, plasmids were constructed in which these elements were deleted from the wild type operon or inserted downstream of a constitutive promoter. These constructs were analyzed in a complete crhR deletion strain to determine how low temperature stress (20°C) and return to normal growth temperature (30°C) alters protein and transcript accumulation. We observed that expression of crhR is regulated in a complex manner involving temperature‐dependent modulation of both transcription and translation. P rimO is a cold‐inducible promoter while its 5’ UTR imposes a robust inhibitory effect which attenuates transcription at 30°C but is relieved at 20°C, together resulting in 5‐ and 15‐fold increases in transcript and protein abundance, respectively. P crhR , on the other hand, is constitutively active and its 5’ UTR does not alter transcript abundance, regardless of temperature. Instead, the crhR 5’ UTR appears to modulate translation, resulting in a 5‐fold enhancement of protein accumulation during cold stress. Deletion of this 5’ UTR severely diminishes CrhR accumulation, without a corresponding loss of transcript accumulation, suggesting that its role is to ensure efficient translation of crhR during cold stress. Taken together, these findings demonstrate that crhR expression is tightly regulated by a series of DNA‐ and RNA‐derived regulatory elements which cooperate to control this integral component of the Synechocystis abiotic stress response, maintaining CrhR abundance at basal levels at 30°C or initiating rapid accumulation at lower temperatures.

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)0.010
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.085
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0100.005
Open science0.0030.012
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0850.062

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 head0.007
GPT teacher head0.220
Teacher spread0.212 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicMicrobial Community Ecology and Physiology→French-language works237,207→