Leishmania allelic selection during experimental sand fly infection correlates with mutational signatures of oxidative DNA damage
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
REP-778298-1
EC | H2020 | PRIORITY 'Excellent science' | H2020 Marie Skłodowska-Curie Actions (MSCA)
CZ.02.1.01/0.0/0.0/16_019/0000759
EC | European Regional Development Fund (ERDF)
S-FB14002-74A
Institut Pasteur
PubMed
36848551
PubMed Central
PMC10013807
DOI
10.1073/pnas.2220828120
Knihovny.cz E-zdroje
- Klíčová slova
- Leishmania, allelic selection, sand fly infection,
- MeSH
- Leishmania donovani * MeSH
- lidé MeSH
- mutace MeSH
- oprava DNA genetika MeSH
- oxidační stres genetika MeSH
- Psychodidae * MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
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.
Department of Parasitology Faculty of Science Charles University Prague 2 128 44 Czech Republic
Institut Pasteur Université Paris Cité Bioinformatics and Biostatistics Hub F 75015 Paris France
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