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Record W2334878149 · doi:10.1002/yea.3163

A stable phylogeny of the large‐spored <i>Metschnikowia</i> clade

2016· article· en· W2334878149 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueYeast · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYeasts and Rust Fungi Studies
Canadian institutionsUniversity of GuelphWestern University
FundersNatural Sciences and Engineering Research Council of CanadaVedecká Grantová Agentúra MŠVVaŠ SR a SAV
KeywordsConcatenation (mathematics)BiologyPhylogenetic treeCladePhylogeneticsGenomeMaximum parsimonyEvolutionary biologyIntergenic regionTree (set theory)Phylogenetic networkGeneGeneticsCombinatoricsMathematics

Abstract

fetched live from OpenAlex

Draft genomes of 55 strains representing all known large-spored Metschnikowia species were used to construct a robust phylogeny of these yeasts found in association with flower-visiting insects. The genomes were annotated with reference to Clavispora lusitaniae. From 3016 orthologues identified, 1061 were present in all strains with enough overlap to generate alignments of 500 bp or more. We constructed trees for all those alignments and evaluated their accuracy from their ability to resolve each of 22 sets of conspecifics correctly as sister taxa. Neighbour-joining identified species membership better than maximum likelihood, as did trees based on larger gene alignments. However, correct species assignment was not predictive of a gene's ability to resolve deeper topologies, which were more reliably identified by maximum likelihood analyses of large concatenations. Specifically, 14 trees based on independent concatenations ca. 100 kb in length were topologically consistent with a tree based on a single, large concatenation (1 410 065 positions), lending a high degree of confidence to the stability of the phylogeny. A tree based on a concatenation of intergenic regions (112 136 positions) was also congruent. Again, the best predictor of phylogenetic signal quality of a gene was the size of the alignment. Bootstraps were not always good indicators of phylogenetic quality, as they were sometimes affected by clade size. A tree constructed from a presence-absence matrix of all annotated genes was remarkably congruent with sequence-based phylogenies, suggesting that gain or loss of genes is worth exploring further as a phylogenetically significant event. Copyright © 2016 John Wiley & Sons, Ltd.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.173

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 head0.006
GPT teacher head0.212
Teacher spread0.206 · 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