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An Evolutionarily Conserved Laterally Acquired Toolkit Enables Microbiota Targeting by Trichomonas

Lookup NU author(s): Dr Adam HartORCiD, Lenshina Mpeyako, Dr Nick BaileyORCiD, George MercesORCiD, Dr Joseph Gray, Dr Jacob BiboyORCiD, Manuel BanzhafORCiD, Professor Waldemar Vollmer, Emeritus Professor Robert HirtORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

richomonas species are a diverse group of microbial eukaryotes (also commonly referred to as protists) that are obligate extracellular symbionts associated with or attributed to various inflammatory diseases. They colonize mucosal surfaces across a wide range of hosts, all of which harbor a resident microbiota. Their evolutionary history likely involved multiple host transfers, including zoonotic events from columbiform birds to mammals. Using comparative transcriptomics, this study examines Trichomonas gallinae co-cultured with Escherichia coli, identifying a molecular toolkit that Trichomonas species may use to interact with bacterial members of the microbiota. Integrating transcriptomic data with comparative genomics and phylogenetics revealed a conserved repertoire of protein-coding genes likely acquired through multiple lateral gene transfers (LGTs) in a columbiform-infecting ancestor. These LGT-derived genes encode muramidases, glucosaminidases, and antimicrobial peptides—enzymes and effectors capable of targeting bacterial cell walls, potentially affecting the bacterial-microbiota composition across both avian and mammalian hosts. This molecular toolkit suggests that Trichomonas species can actively compete with and exploit their surrounding microbiota for nutrients, potentially contributing to dysbiosis associated with Trichomonas infections. Their ability to target bacterial populations at mucosal surfaces provides insight into how Trichomonas species may have adapted to diverse hosts and how they could influence inflammatory mucosal diseases in birds and mammals.


Publication metadata

Author(s): Hart AJ, Mpeyako LA, Bailey NP, Merces G, Gray J, Biboy J, Banzhaf M, Vollmer W, and Hirt RP

Publication type: Article

Publication status: Published

Journal: Molecular Biology and Evolution

Year: 2025

Volume: 42

Issue: 11

Online publication date: 30/10/2025

Acceptance date: 26/09/2025

Date deposited: 25/11/2025

ISSN (print): 0737-4038

ISSN (electronic): 1537-1719

Publisher: Oxford University Press

URL: https://doi.org/10.1093/molbev/msaf276

DOI: 10.1093/molbev/msaf276

Data Access Statement: The RNAseq data are available at the NCBI SRA database (Bioproject: PRJNA1019275, accession numbers SAMN37478063 to SAMN37478068). All the key outputs of the sequence analyses for this study can be found in the Supplementary material. They are all described in the main text and in the Supplementary material.


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Funding

Funder referenceFunder name
BB/T008695/1 and BB/M011186/1
BB/W013630/1
UK Biotechnology and Biological Sciences Research Council

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