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Record W2606262169

Micro-scale Diversity and Persistence of Genomic Variants of the Yeast Saccharomyces paradoxus in a Natural Woodland Population

2016· dissertation· en· W2606262169 on OpenAlexaboutno aff
Wenjing Xia

Bibliographic record

VenueTSpace · 2016
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicFermentation and Sensory Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyPopulationGenetic diversityPopulation genomicsWoodlandEcologyEvolutionary biologyGenomicsGeneticsGenomeDemography
DOInot available

Abstract

fetched live from OpenAlex

Genetic diversity in populations of sister species, Saccharomyces cerevisiae and S. paradoxus, has been described at the global scale, but less at small spatial scales. Fine scale sampling over time captures dynamics in genome distribution, which may not be revealed in large-scaled studies. I investigated the population genomics of a local population to address two questions: is there genomic variation in a S. paradoxus population at a fine spatial scale (centimeters to tens of meters)? Does the distribution of genomic variants persist over time? I sampled 42 S. paradoxus strains from 2014 and 43 strains from 2015 collected from the same 72 microsites around four oak trees within 1km2 in a mixed hardwood forest in southern Ontario. As well, 6 samples were made from Maple or Beech. I found five differentiated clades coexisting within the sampled area and persistent population structure over the two years of my study.

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 score0.709
Threshold uncertainty score0.339

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 head0.019
GPT teacher head0.240
Teacher spread0.220 · 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
Published2016
Admission routes1
Has abstractyes

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