Leishmania allelic selection during experimental sand fly infection correlates with mutational signatures of oxidative DNA damage

Author:

Bussotti Giovanni12ORCID,Li Blaise1ORCID,Pescher Pascale2ORCID,Vojtkova Barbora3,Louradour Isabelle2,Pruzinova Katerina3ORCID,Sadlova Jovana3ORCID,Volf Petr3,Späth Gerald F.2ORCID

Affiliation:

1. Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, F-75015 Paris, France

2. Institut Pasteur, Université Paris Cité, INSERM U1201, Unité de Parasitologie moléculaire et Signalisation, F-75015 Paris, France

3. Department of Parasitology, Faculty of Science, Charles University, Prague 2, 128 44, Czech Republic

Abstract

Trypanosomatid pathogens are transmitted by blood-feeding insects, causing devastating human infections. These parasites show important phenotypic shifts that often impact parasite pathogenicity, tissue tropism, or drug susceptibility. The evolutionary mechanisms that allow for the selection of such adaptive phenotypes remain only poorly investigated. Here, we use Leishmania donovani as a trypanosomatid model pathogen to assess parasite evolutionary adaptation during experimental sand fly infection. Comparing the genome of the parasites before and after sand fly infection revealed a strong population bottleneck effect as judged by allele frequency analysis. Apart from random genetic drift caused by the bottleneck effect, our analyses revealed haplotype and allelic changes during sand fly infection that seem under natural selection given their convergence between independent biological replicates. Our analyses further uncovered signature mutations of oxidative DNA damage in the parasite genomes after sand fly infection, suggesting that Leishmania suffers from oxidative stress inside the insect digestive tract. Our results propose a model of Leishmania genomic adaptation during sand fly infection, with oxidative DNA damage and DNA repair processes likely driving haplotype and allelic selection. The experimental and computational framework presented here provides a useful blueprint to assess evolutionary adaptation of other eukaryotic pathogens inside their insect vectors, such as Plasmodium spp, Trypanosoma brucei , and Trypanosoma cruzi .

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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