Evidence map›Paper›PMID 42418432›Full record

ArticlePloS one2026

Integrative analyses reveal the evolution of the Old World Swallowtail in the Palearctic.

Valentina Todisco, Jennifer F Hoyal Cuthill, Anatoly Krupitsky, Galina Shapoval, Boris Nalitkin, Anna Romanovich, Raluca Vodă, Marko Mutanen, Roger Vila, Nazar Shapoval and 1 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Valentina TodiscoDepartment of Environment and Biodiversity, Evolutionary Zoology, University of Salzburg, Salzburg, Austria.ORCID https://orcid.org/0000-0002-7510-6139
Jennifer F Hoyal CuthillSchool of Life Sciences, University of Essex, Colchester, United Kingdom.
Anatoly KrupitskyDepartment of Entomology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia.
Galina ShapovalDepartment of Karyosystematics, Zoological Institute, Russian Academy of Sciences, St. Petersburg, Russia.ORCID https://orcid.org/0000-0002-6407-5904
Boris NalitkinLazorevy proezd, Moscow, Russia.
Anna RomanovichResource Center for Development of Molecular and Cellular Technologies, St. Petersburg State University, St. Petersburg, Russia.
Raluca VodăNaturéum, State Museum of Natural Sciences, Palais de Rumine, Lausanne, Switzerland.
Marko MutanenEcology and Genetics Research Unit, University of Oulu, Oulu, Finland.
Roger VilaInstitut de Biologia Evolutiva (CSIC-UPF), Barcelona, Spain.
Nazar ShapovalDepartment of Karyosystematics, Zoological Institute, Russian Academy of Sciences, St. Petersburg, Russia.
Vazrick NazariDepartment of Biology, University of Padova, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on a dataset of 585 samples originating from across the Palearctic region and four genes (COI, CAD, Ca-ATPase, and 28S) for a subset of these samples, we studied the phylogenetic relationships within and between the Old World Swallowtail (Papilio machaon Linnaeus, 1758) and its closest relatives in the Palearctic region. We used Machine Learning (ML) to investigate the concordance of morphological characteristics with the molecular data. Our phylogenetic analyses showed that the Palearctic taxa everesti, archias and hippocrates formed strongly supported sister-group relationships with P. machaon. Within the Palearctic machaon a few distinct mitochondrial linages were observed, including one from the Himalayas and Central Asia, and another one that included all of the north African samples (taxa mauretanica, saharae and neosaharae) without any distinction. ML clustering was supportive of the haplotype and geographic analyses and a positive correlation was measured between average genetic phylogenetic and machine learnt specimen-image distances. Screening for Wolbachia revealed infection only in females of P. archias. We present a biogeographic scenario for the evolution of the P. machaon species group in the Palearctic region.

Indexed as

Biological EvolutionAnimalsEvolution, MolecularHaplotypesMachine LearningPhylogenyWolbachia

Identifiers

PMID42418432
PMCPMC13345299

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.