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Record W2165560378 · doi:10.1111/jzs.12081

Molecular phylogenetic relationships among Asiatic shrewlike moles inferred from the complete mitogenomes

2014· article· en· W2165560378 on OpenAlexaff
Feiyun Tu, Zhenxin Fan, Robert W. Murphy, Shunde Chen, Xiuyue Zhang, Chaochao Yan, Yang Liu, Zhiyu Sun, Jianrong Fu, Shaoying Liu, Bisong Yue

Bibliographic record

VenueJournal of Zoological Systematics & Evolutionary Research · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsRoyal Ontario Museum
FundersNational Natural Science Foundation of China
KeywordsBiologyPhylogenetic treeMitochondrial DNAPhylogeneticsEvolutionary biologyGenusCladeAdaptation (eye)ZoologyGeneGenetics

Abstract

fetched live from OpenAlex

Asiatic shrewlike moles are distributed almost entirely in south-west China; four of the five species of the genus Uropsilus, Uropsilus aequodonenia, U. andersoni, U. investigator and U. soricipes are endemic to China. Excluding the five species, three cryptic species (U. sp. 1, U. sp. 2 and U. sp. 3) and two putative species, U. nivatus and U. atronates, are recognized. The phylogenetic relationships among the species remain unclear and these preclude investigations of their potential adaptations for living in high altitudes. We sequenced the complete mitochondrial DNA genomes of three species of Asiatic shrewlike moles (U. aequodonenia, U. andersoni and U. nivatus). Phylogenetic analyses of 16 published and our de novo mitogenomes yield single, robust trees with the relationships being (U. soricipes (U. sp. 1 (U. nivatus (U. andersoni, U. aequodonenia)))). Further, the tree verifies the validity of recently described U. aequodonenia. Analyses of selection pressure suggest that the 13 mtDNA-encoding genes of species in the genus Uropsilus all have experienced strong purifying selection, although ATP8 accumulated a higher ratio of non-synonymous substitutions than the other loci, which might reflect adaptation of the genus Uropsilus to different environments/elevations.

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)0.005
metaresearch head score (Gemma)0.004
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 score0.034
Threshold uncertainty score0.814

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.146
GPT teacher head0.305
Teacher spread0.159 · 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

Citations12
Published2014
Admission routes1
Has abstractyes

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