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Photoacclimation strategies of Chlamydomonas reinhardtii in response to high-light stress in stationary phase

2024· article· en· W4405355836 on OpenAlexaff
Dion G. Durnford

Bibliographic record

VenueJournal of Photochemistry and Photobiology B Biology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhotosynthetic Processes and Mechanisms
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsChlamydomonas reinhardtiiFight-or-flight responseStress (linguistics)Phase (matter)Environmental scienceOceanographyAtmospheric sciencesBiologyChemistryPhysicsGeology

Abstract

fetched live from OpenAlex

Under ideal conditions, Chlamydomonas reinhardtii can photoacclimate to excess light through various short- and long-term mechanisms. However, how microalgae handle excess light stress once they exit exponential growth, and especially in stationary phase, is less understood. Our study explored C. reinhardtii' s photoprotection capacity and acclimation strategies during high-light stress once batch culture growth reached stationary phase. We monitored cultures of wildtype strain ( CC125 ) over five days once they reached stationary phase under both low-light (LL) and high-light (HL) conditions. Under HL, many photosynthetic proteins were degraded but the stress-related light harvesting complex protein (LHCSR) was rapidly induced and contributed to the rapid activation of nonphotochemical quenching (NPQ). However, the LHCSR3-defective mutant (CC4614, npq4 ) lacked the rapid induction of quenching typical of post-exponential cultures, indicating that LHCSR3 is required for this response in stationary phase. Collectively, the main strategy for photoacclimation in stationary phase appears to be a dramatic reduction of photosystems while maintaining LHCII-LHCSR antenna complexes that prime the antenna for rapid activation of quenching upon light exposure. Part of this response to HL involves a resumption of cell growth after two days, that we hypothesized is due to the stimulation of growth-regulating pathways due to increased metabolite pools from the HL-induced protein turnover in the cell, something that remains to be tested. These findings demonstrate how C. reinhardtii manages high-light stress during stationary phases to maximize longevity. Photoacclimation during stationary phase in Chlamydomonas reinhardtii • When microalgae reach stationary phase, there is a gradual degradation of the chloroplast proteins. • Under high-light stress, the degradation of chloroplast proteins in stationary phase is accelerated. • While reaction centers are degraded, light-harvesting antennae remain and LHCSR is induced to dissipate light energy. • Turnover of chloroplast proteins likely increases metabolite pools that stimulates cell division. • This cell division could act as an energy sink to help protect the cell.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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 head0.301
Teacher spread0.294 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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