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Record W2738336432

Utility of the Cytochrome Oxidase I gene (COI) for Species Identification and Phylogeographic Analysis in Black Flies (Diptera: Simuliidae)

2009· dissertation· en· W2738336432 on OpenAlexfundno aff
Julio Martin Rivera Castillo

Bibliographic record

VenueTSpace (University of Toronto) · 2009
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicDiptera species taxonomy and behavior
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaOntario GenomicsGenome Canada
KeywordsPhylogeographyBiologyCytochrome c oxidaseGeneEvolutionary biologyIdentification (biology)ZoologyGeneticsEcologyPhylogeneticsMitochondrion
DOInot available

Abstract

fetched live from OpenAlex

A short sequence of ca. 658-bp of the mitochondrial gene COI was used to investigate its utility as a DNA barcode in the medically important Simuliidae or black flies. Sixty-five species and species complexes were tested. Results indicate that the barcoding gene discriminated among morphologically distinct species with nearly 100% of efficacy and proved useful for revealing cryptic diversity. The DNA barcoding gene was also tested for revealing phylogeographic patterns in the western cordilleran Prosimulium travisi and the Prosimulium neomacropyga species-group. Phylogeographic analyses on these species revealed areas that acted as glacial refugia, postglacial history, cryptic speciation episodes and timing of the events that lead to their present-day distribution. The results obtained concur with other phylogeographic studies on similarly-distributed cordilleran organisms. In conclusion, the barcoding gene not only resulted useful for species discrimination in black flies but also for studies at the population level, providing value-added to this molecular marker.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.225
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations1
Published2009
Admission routes1
Has abstractyes

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Same venueTSpace (University of Toronto)Same topicDiptera species taxonomy and behaviorFrench-language works237,207