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Conserved Primers for Rapid Sequencing of the Complete Mitochondrial Genome from Carnivores, Applied to Three Species of Bears

2002· letter· en· W2155758375 on OpenAlexafffund
Isabelle Delisle, Curtis Strobeck

Bibliographic record

VenueMolecular Biology and Evolution · 2002
Typeletter
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaParks Canada
KeywordsBiologyMitochondrial DNAGenomeEvolutionary biologyGeneticsComputational biologyGene

Abstract

fetched live from OpenAlex

Phylogenetic relationships of the order Carnivora have been extensively studied. However, depending on the type of data, species sampling, and method of analysis used, carnivores have been placed in nearly every possible position throughout the eutherian phylogenetic tree (for a review, see Novacek 1992). The integrity of the order itself has, however, remained intact. Undisputedly monophyletic, the order Carnivora nonetheless constitutes a very adaptable and heterogeneous group (Wayne et al. 1989) whose evolution has been marked by several events of parallel or convergent evolution and rapid radiation. Consequently, phylogenetic relationships between and within many carnivore families are also still largely unresolved. For example, the families Procyonidae, Ailuridae, Mustelidae, Pinnidedia, and Ursidae are joined at a polytomy. Within Pinnipedia, the closer affinity of Otariidae to either Phocidae or Obodenidae has long been debated. Additionally, the monophyly of the family Mustelidae has been challenged, with true mustelids and mephitids thought to belong to different branches within the superfamily Musteloidea, also including Procyonidae and Ailuridae. The phylogeny of the family Ursidae is another typical example. Six species of bears, grouped under the subfamily Ursinae, are thought to have diverged at the beginning of the Pliocene through such a rapid radiation event (Thenius 1990) that the order of species divergence is difficult to determine. Hence, the speciation event that led to extant ursine bears (American black bear, Ursus americanus; brown bear, U. arctos; polar bear, U. maritimus; Asiatic black bear, U. thibetanus; sun bear, U. malayanus; and sloth bear, U. ursinus) is usually represented as a polytomy. Rapid radiations remain unresolved largely because available data contain very few informative changes essential to infer the correct phylogenetic tree. More resolving power can be reached by using longer DNA sequences to provide a sufficient number of informative characters. Moreover, it has been shown that the combination of multiple genes in a single large data set has the potential to raise a weak phylogenetic signal above the noise level (Bull et al. 1993). Combining these two advantages, complete mitochondrial (mtDNA) sequences (approximately 17 kbp and 13 protein-coding genes) offer great potential for recovering phylogenies.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.632

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 studies0.0000.001
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 head0.032
GPT teacher head0.214
Teacher spread0.183 · 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

Citations66
Published2002
Admission routes2
Has abstractyes

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