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Record W2113031526 · doi:10.1099/ijs.0.64061-0

Phylogenetic history of plastid-targeted proteins in the peridinin-containing dinoflagellate Heterocapsa triquetra

2006· article· en· W2113031526 on OpenAlexafffund
Ross F. Waller, Nicola J. Patron, Patrick J. Keeling

Bibliographic record

VenueINTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtist diversity and phylogeny
Canadian institutionsUniversity of British ColumbiaCanadian Institute for Advanced Research
FundersCanadian Institutes of Health ResearchGenome AtlanticMichael Smith Health Research BCGenome Canada
KeywordsPlastidDinoflagellateBiologyPeridininLineage (genetic)Phylogenetic treePhylogeneticsEvolutionary biologyAlgaeGenomeGeneHorizontal gene transferNuclear geneGeneticsBotanyChloroplast

Abstract

fetched live from OpenAlex

The evolutionary history and relationship between plastids of dinoflagellate algae and apicomplexan parasites have been controversial both because the organelles are unusual and because their genomes contain few comparable genes. However, most plastid proteins are encoded in the host nucleus and targeted to the organelle, and several of these genes have proved to have interesting and informative evolutionary histories. We have used expressed sequence tag (EST) sequencing to generate gene sequence data from the nuclear genome of the dinoflagellate Heterocapsa triquetra and inferred phylogenies for the complete set of identified plastid-targeted proteins. Overall, dinoflagellate plastid proteins are most consistently related to homologues from the red algal plastid lineage (not green) and, in many of the most robust cases, they branch with other chromalveolate algae. In resolved phylogenies where apicomplexan data are available, dinoflagellates and apicomplexans are related. We also identified two cases of apparent lateral, or horizontal, gene transfer, one from the green plastid lineage and one from a bacterial lineage unrelated to plastids or cyanobacteria.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.851
Threshold uncertainty score0.316

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 head0.010
GPT teacher head0.204
Teacher spread0.194 · 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 designBench or experimental
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

Citations32
Published2006
Admission routes2
Has abstractyes

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