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THE ECOLOGY AND GENETICS OF FITNESS IN CHLAMYDOMONAS. XII. REPEATED SEXUAL EPISODES INCREASE RATES OF ADAPTATION TO NOVEL ENVIRONMENTS

2002· article· en· W4232182186 on OpenAlexafffund
Oliver Kaltz, Graham Bell

Bibliographic record

VenueEvolution · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEvolution and Genetic Dynamics
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaDeutscher Akademischer Austauschdienst
KeywordsBiologyAdaptation (eye)Experimental evolutionGenetic FitnessSexual reproductionChlamydomonasEvolutionary biologyChlamydomonas reinhardtiiLocal adaptationEcologyNatural selectionSexual selectionAsexual reproductionZoologySelection (genetic algorithm)GeneticsDemographyBiological evolutionGene

Abstract

fetched live from OpenAlex

We investigated the dynamics of adaptation of the unicellular chlorophyte Chlamydomonas reinhardtii to new and hostile conditions of growth provided by novel carbon substrates in the dark. The experiment was designed to contrast perennially asexual lines with lines that had experienced one or more sexual episodes. All lines were capable of adapting to the novel environment. The sexual lines, however, showed greater adaptation over the course of the experiment, especially in more complex environments. Moreover, the effect of sex on adaptation increased with the number of successive sexual episodes. The time-course of adaptation showed that sex initially caused an increase in the standardized variance of fitness and an initial drop in mean fitness, at least after a second or third sexual episode. These short-term effects were followed by a period of recovery during which the fitness of sexual lines eventually exceeded that of asexual lines. The increase in mean fitness was mirrored by a decrease in the standardized variance of fitness relative to asexuals, suggesting that directional selection used up the variation generated by meiotic recombination and thereby conferred a fitness advantage to the sexual lines. These results support the Weismann-Fisher-Muller hypothesis for the maintenance of sex in natural populations.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score0.298

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 head0.012
GPT teacher head0.237
Teacher spread0.224 · 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

Citations8
Published2002
Admission routes2
Has abstractyes

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