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Toward the phylogeny of the family Lacertidae-Why 4708 base pairs of mtDNA sequences cannot draw the picture

2000· article· en· W1996198206 on OpenAlexaff
Jinzhong Fu

Bibliographic record

VenueBiological Journal of the Linnean Society · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsRoyal Ontario Museum
Fundersnot available
KeywordsBiologyPhylogenetic treeLacertidaePhylogeneticsEvolutionary biologyMitochondrial DNAZoologyTaxonGeneticsEcologySauriaGeneLizard

Abstract

fetched live from OpenAlex

A phylogeny of the family Lacertidae was derived from DNA sequences of six mitochondrial genes. Only a few nodes were confidently resolved using maximum parsimony, although the data yielded a total of 1664 phylogenetically informative characters. The lacertids grouped into two subfamilies, the Gallotiinae which includes genera Gallotia and Psammodromus, and the Lacertinae which includes the remaining lacertids. The Lacertinae split into two additional groups. The African group included all African and Arabian lacertids and two Eurasian genera, Eremias and Ophisops; the remaining Eurasian lacertids were included in the Eurasian group. Most of the relationships within the African and Eurasian groups cannot be confidently resolved. A permutation tail probability test suggested that there is very little character covariance in the data to support these unresolved relationships. A recent explosive speciation hypothesis was invoked to explain the lack of structure of the data. The common ancestor of the Eurasian group, as well as the ancestor of the African group, experienced simultaneous, or almost simultaneous, multiple speciation events, which left none or very few characters fixed on the intcrnodes. The phylogenetic reconstruction at the family level will be very difficult, if not impossible. Future phylogenetic research should focus on lower levels.

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)0.001
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 score0.652
Threshold uncertainty score0.273

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.229
Teacher spread0.197 · 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

Citations150
Published2000
Admission routes1
Has abstractyes

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