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Record W4416784616 · doi:10.1002/oik.11699

Caloric restriction‐mediated reproductive lifespan extension across multiple strains of the clonal aquatic plant <i>Lemna turionifera</i>

2025· article· en· W4416784616 on OpenAlexaffabout
Julian A. Ketler, Neta Herman, Suzanne L. Chmilar, Robert A. Laird

Bibliographic record

VenueOikos · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsLongevitySenescencePopulationDesiccationAxenicOffspringAquatic plantCaloric theoryReproduction

Abstract

fetched live from OpenAlex

Lifespan extension due to caloric restriction (CR) is a well‐established aspect of animal senescence that has been observed in many taxa. Contrastingly, there is much less evidence in plants, even though it is straightforward to manipulate CR by restricting photosynthesis through reduction in light intensity. One of the few studies to report CR‐mediated plant lifespan extension investigated reproductive lifespan in a single strain of the duckweed Lemna minor , a tiny, floating, aquatic plant. Here, with an aim of beginning to test the generality of this phenomenon in plants, we considered a congeneric species, L. turionifera , and examined CR‐mediated lifespan extension in eight strains collected from Alberta, Canada. We grew plants in the lab under axenic conditions, and manipulated light intensity (and hence, putatively, CR) with neutral density filters. Plants that grew under dimmer conditions had longer reproductive lifespans, on average, than those that grew under brighter conditions, consistent with CR‐mediated lifespan extension. However, this came at the expense of a reduction in the capacity to contribute to population growth: plants in dimmer conditions produced about the same total offspring spread across their longer lifespans, leading to a reduced intrinsic rate of increase, measured at the level of the individual. Expanding the taxonomic scope of studies on CR‐mediated lifespan extension – especially in plants – remains an important goal in senescence research.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.998

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 head0.015
GPT teacher head0.222
Teacher spread0.207 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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