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In Silico Ionomics Segregates Parasitic from Free-Living Eukaryotes

Ion transporters are fundamental to life. Due to their ancient origin and conservation in sequence, ion transporters are also particularly well suited for comparative genomics of distantly related species. Here, we perform genome-wide ion transporter profiling as a basis for comparative genomics of...

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Autores principales: Greganova, Eva, Steinmann, Michael, Mäser, Pascal, Fankhauser, Niklaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814192/
https://www.ncbi.nlm.nih.gov/pubmed/24048281
http://dx.doi.org/10.1093/gbe/evt134
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author Greganova, Eva
Steinmann, Michael
Mäser, Pascal
Fankhauser, Niklaus
author_facet Greganova, Eva
Steinmann, Michael
Mäser, Pascal
Fankhauser, Niklaus
author_sort Greganova, Eva
collection PubMed
description Ion transporters are fundamental to life. Due to their ancient origin and conservation in sequence, ion transporters are also particularly well suited for comparative genomics of distantly related species. Here, we perform genome-wide ion transporter profiling as a basis for comparative genomics of eukaryotes. From a given predicted proteome, we identify all bona fide ion channels, ion porters, and ion pumps. Concentrating on unicellular eukaryotes (n = 37), we demonstrate that clustering of species according to their repertoire of ion transporters segregates obligate endoparasites (n = 23) on the one hand, from free-living species and facultative parasites (n = 14) on the other hand. This surprising finding indicates strong convergent evolution of the parasites regarding the acquisition and homeostasis of inorganic ions. Random forest classification identifies transporters of ammonia, plus transporters of iron and other transition metals, as the most informative for distinguishing the obligate parasites. Thus, in silico ionomics further underscores the importance of iron in infection biology and suggests access to host sources of nitrogen and transition metals to be selective forces in the evolution of parasitism. This finding is in agreement with the phenomenon of iron withholding as a primordial antimicrobial strategy of infected mammals.
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spelling pubmed-38141922013-10-31 In Silico Ionomics Segregates Parasitic from Free-Living Eukaryotes Greganova, Eva Steinmann, Michael Mäser, Pascal Fankhauser, Niklaus Genome Biol Evol Research Article Ion transporters are fundamental to life. Due to their ancient origin and conservation in sequence, ion transporters are also particularly well suited for comparative genomics of distantly related species. Here, we perform genome-wide ion transporter profiling as a basis for comparative genomics of eukaryotes. From a given predicted proteome, we identify all bona fide ion channels, ion porters, and ion pumps. Concentrating on unicellular eukaryotes (n = 37), we demonstrate that clustering of species according to their repertoire of ion transporters segregates obligate endoparasites (n = 23) on the one hand, from free-living species and facultative parasites (n = 14) on the other hand. This surprising finding indicates strong convergent evolution of the parasites regarding the acquisition and homeostasis of inorganic ions. Random forest classification identifies transporters of ammonia, plus transporters of iron and other transition metals, as the most informative for distinguishing the obligate parasites. Thus, in silico ionomics further underscores the importance of iron in infection biology and suggests access to host sources of nitrogen and transition metals to be selective forces in the evolution of parasitism. This finding is in agreement with the phenomenon of iron withholding as a primordial antimicrobial strategy of infected mammals. Oxford University Press 2013 2013-09-18 /pmc/articles/PMC3814192/ /pubmed/24048281 http://dx.doi.org/10.1093/gbe/evt134 Text en © The Author(s) 2013. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Research Article
Greganova, Eva
Steinmann, Michael
Mäser, Pascal
Fankhauser, Niklaus
In Silico Ionomics Segregates Parasitic from Free-Living Eukaryotes
title In Silico Ionomics Segregates Parasitic from Free-Living Eukaryotes
title_full In Silico Ionomics Segregates Parasitic from Free-Living Eukaryotes
title_fullStr In Silico Ionomics Segregates Parasitic from Free-Living Eukaryotes
title_full_unstemmed In Silico Ionomics Segregates Parasitic from Free-Living Eukaryotes
title_short In Silico Ionomics Segregates Parasitic from Free-Living Eukaryotes
title_sort in silico ionomics segregates parasitic from free-living eukaryotes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814192/
https://www.ncbi.nlm.nih.gov/pubmed/24048281
http://dx.doi.org/10.1093/gbe/evt134
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