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Record W7055306082

The complete mitogenome of the European mantis, Mantis religiosa, from Italy: implications for the origin of North American mantis population

2021· article· en· W7055306082 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Research Information System (Università degli Studi di Trento) · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsMantisPhylogenetic treeRibosomal RNAPopulationPhylogeneticsMitochondrial DNASequence (biology)
DOInot available

Abstract

fetched live from OpenAlex

The European mantis, Mantis religiosa L. (Mantodea Mantidae), is distributed all over Southern Europe, Africa and Asia, and has \nbeen reported as alien species in North America. Here we present the mitogenome sequence of an Italian individual and compare it \nwith previously sequenced Chinese and Canadian samples. The assembled mitogenome has a length of 15,530 nucleotides and includes 13 protein coding genes, two ribosomal RNA genes, 23 tRNA genes (including the additional Arginine tRNA already observed \nin other M. religiosa mitogenomes), and the control region. Based on the inferred phylogenetic relationships, the Canadian sample is \nmore closely related to the Italian than to the Chinese one, in line with the putative European origin of the North American invasive \npopulation. Time-calibrated phylogeny dated the divergence among extant European Mantis lineages at 2.33 million years ago, consistent with the first appearance of M. religiosa fossils. Our results support a European origin of the North American M. religiosa \npopulation and suggest that selective processes acting on mitogenome may have contributed to its adaptation in the new area.

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)0.000
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 score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.064
GPT teacher head0.316
Teacher spread0.252 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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