Evidence map›Paper›PMID 41091753›Full record

ArticlePloS one2025

Evaluating topological variability in Neodermata phylogenies using mitochondrial and ribosomal gene markers.

Víctor Hugo Caña-Bozada, Geormery Belén Mera-Loor, David I Hernández-Mena, Jean-Lou Justine, Marta Álvarez-Presas

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Víctor Hugo Caña-BozadaCentro de Investigación para la Salud en América Latina (CISeAL), Pontificia Universidad Católica del Ecuador (PUCE), Quito, Ecuador.ORCID https://orcid.org/0000-0002-8982-8618
Geormery Belén Mera-LoorSecretaría de Educación Superior, Ciencia, Tecnología e Innovación. Instituto Superior Tecnológico Luis Arboleda Martínez. Carrera de Tecnología Superior en Acuicultura, Ext. Jaramijó. Manabi, Ecuador.
David I Hernández-MenaColección Nacional de Helmintos, Instituto de Biología, Universidad Nacional Autónoma de México, Ciudad Universitaria, Avenida Universidad número, Ciudad de México, Mexico.ORCID https://orcid.org/0000-0003-0822-3498
Jean-Lou JustineISYEB, Institut de Systématique, Évolution, Biodiversité (UMR7205 CNRS, EPHE, MNHN, UPMC, Université des Antilles), Muséum National d'Histoire Naturelle, Paris Cedex, France.
Marta Álvarez-PresasInstitut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta, Barcelona, Spain.ORCID https://orcid.org/0000-0002-4825-9965

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Neodermata is a group of parasitic flatworms that includes the classes Trematoda, Cestoda, and Monogenea. Understanding the phylogenetic relationships within the Neodermata has been a longstanding challenge. Molecular studies utilizing different datasets have produced variable results, leading to differing evolutionary hypotheses. Resolving the phylogenetic relationships requires careful consideration of the molecular targets and sequences used. In this study, our objective was to investigate the topological variability of phylogenetic trees by examining different mitochondrial genes, molecular datasets (nucleotides and amino acids), as well as the 18S and 28S nuclear rRNA genes, and three software packages used for phylogenetic analysis. To evaluate the utility of different markers, we constructed 96 unilocus trees and nine multilocus trees. Our findings revealed that each gene provided unique information and resulted in different topologies depending on the sequences used, with only few mitochondrial genes indicating the monophyly of the Monogenea. Multilocus analyses mitochondrial and mitochondrial + 18S + 28S produced a consistent topology, supporting the monophyly of each of the four major neodermatan lineages (Cestoda, Trematoda, Monopisthocotylea, and Polyopisthocotylea). Notably, the monophyly of the Polyopisthocotylea and Cestoda consistently appeared in the different analyses. Conversely, we observed discrepancies between results obtained from mitochondrial genes and nuclear genes. This study contributes to our understanding of the phylogeny of the Neodermata by examining the topological variability of phylogenetic trees using both mitochondrial and nuclear genes. Our results emphasize that carefully selected molecular markers and multilocus approaches are crucial for illuminating the complex evolutionary history within the Neodermata.

Indexed as

CestodaGenes, MitochondrialPhylogenyPlatyhelminthsAnimalsGenetic MarkersGenetic Markers

Identifiers

PMID41091753
PMCPMC12527160

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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.