Evidence map›Paper›PMID 41433316›Full record

ArticlePLoS neglected tropical diseases2025

Partners in time: Cospeciation and host-switching shape the evolution of Leishmania parasites.

Alicia Rojas, Jairo Alfonso Mendoza-Roldan, Paula Alfaro-Segura, Alberto Solano-Barquero, Domenico Otranto

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Alicia RojasCentro de Investigación en Enfermedades Tropicales, University of Costa Rica, San José, Costa Rica.ORCID 0000-0003-2007-7198
Jairo Alfonso Mendoza-RoldanDepartment of Veterinary Medicine, University of Bari, Bari, Italy.
Paula Alfaro-SeguraCentro de Investigación en Enfermedades Tropicales, University of Costa Rica, San José, Costa Rica.
Alberto Solano-BarqueroCentro de Investigación en Enfermedades Tropicales, University of Costa Rica, San José, Costa Rica.
Domenico OtrantoDepartment of Veterinary Medicine, University of Bari, Bari, Italy.

Funding

NextGeneration EU
6 · The paper itself

Abstract

backgroundLeishmania is a neglected tropical parasite that may affect millions of people worldwide, causing infections that range from subclinical to life-threatening in many animal species, including humans. The four subgenera described (i.e., Leishmania, Mundinia, Sauroleishmania and Viannia) exhibit distinct biological and ecological characteristics. The genus likely originated during the Mesozoic era, with hypotheses suggesting a Palearctic, Neotropical, or Supercontinent origin. Understanding the evolutionary history of Leishmania parasites may clarify host specificity, geographic distribution, and vector associations across subgenera. METHODOLOGY AND KEY

findingsIn this study, we analyzed Leishmania evolutionary associations with vertebrate hosts as well as sand fly vectors using a combination of cophylogenetic and maximum parsimony approaches. A significant phylogenetic congruence was found between Leishmania and its vertebrate hosts using PACo (p = 0.0001, m2XY=0.5419) and ParaFit (p = 0.0034, ParaFit Global statistic = 0.012), with several host-switching and duplication events (p = 0.0298), particularly involving Leishmania-humans associations. A cospeciation event was also predicted at a higher taxonomic level, corresponding to the divergence of mammals from reptiles and the subsequent separation of the Leishmania, Viannia and Mundinia subgenera from Sauroleishmania. Similarly, significant cophylogenetic signals were observed between Leishmania and sand fly hosts using PACo (m2XY=1.3988, p = 0.0001) and ParaFit (ParaFit Global = 0.062, p = 0.0001) functions. Cospeciation events were again predicted at higher taxonomic levels in the divergence of New World and Old World sand flies, with Viannia species and Leishmania, Sauroleishmania and Mundinia species associated with the latter (p = 0.01).

conclusionsOur findings support the Supercontinent hypothesis and emphasize the relevance of the historical biogeography in Leishmania diversification. This comprehensive cophylogenetic analysis enhances our understanding of Leishmania origins and diversification, offering insights into host specificity, vector adaptation, and the long-term maintenance of its digenetic life cycle.

Indexed as

Biological EvolutionHost-Parasite InteractionsHost SpecificityLeishmaniaLeishmaniasisAnimalsEvolution, MolecularHumansInsect VectorsPhylogenyPsychodidaeVertebrates

Identifiers

PMID41433316
PMCPMC12725659

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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.