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Record W7035653769

Adaptive response of a marine «Chlamydomonas sp». to phosphorus limitation

2016· dissertation· en· W7035653769 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2016
Typedissertation
Languageen
FieldComputer Science
TopicBig Data and Digital Economy
Canadian institutionsMcGill University
Fundersnot available
KeywordsChemostatPhytoplanktonPhosphorusNutrientPhosphorus deficiencyPopulationLimiting
DOInot available

Abstract

fetched live from OpenAlex

Global warming is predicted to increase stratification of the surface ocean and enhance nutrient-limitation of phytoplankton production by reducing vertical mixing.How phytoplankton might react to such increased resource deficiency is not well understood.This thesis reports the results of a long-term experimental study of the impact of phosphorus limitation on a model phytoplankton species.Four chemostat cultures of a marine Chlamydomonas (CCMP 222) were grown under phosphorus limiting conditions at steady state for 260 generations to assess adaptive responses to resource deficiency.Adapted populations derived from the chemostats had significantly faster rates of growth in low P medium, but grew more slowly on average than the ancestral population in the presence of high P concentrations.The adapted populations contained less phosphorus per unit of cell volume (mol P L -1 cell volume) as a result of two distinct strategies: in the first, cells increased in size and kept cellular phosphorus quota (mol P cell -1 ) constant, and in the second, cells decreased cellular phosphorus quota and kept cell size constant.Reduction in amount of phosphorus per unit of cell volume of all of the adapted populations caused a significant increase in cell surface area per unit of phosphorus (p < 0.05) compared to the ancestor, potentially allowing for faster uptake rates of the limiting resource relative to requirements and faster growth.The cellular C:P ratio of the adapted cells changed only very little relative to the ancestor.The results suggest that adaptation may partially offset increases in nutrient deficiency by altering phytoplankton elemental requirements and growth.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.024
GPT teacher head0.240
Teacher spread0.215 · 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.

Study designOther design
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
Published2016
Admission routes1
Has abstractyes

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