ArticlePLoS pathogens2023
Selective whole-genome amplification reveals population genetics of Leishmania braziliensis directly from patient skin biopsies.
Article in PLoS pathogens, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Evidence for balancing selection on loci associated with host use in the genome of a generalist plant parasite.Evolution letters · 2026Article
- Low-Abundance and FragmentaryBiomolecules · 2026Article
- Direct sequencing of Leishmania donovani from patients in Garissa County, Northern Kenya, reveals a newly emerging intra-specific hybrid genotype.PLoS neglected tropical diseases · 2026Article
- Insights into genetic heterogeneity and drug resistance in Leishmania donovani of the Indian sub-continent from genomic data.Antonie van Leeuwenhoek · 2025Article
- Turning the needle into the haystack: Culture-independent amplification of complex microbial genomes directly from their native environment.PLoS pathogens · 2024Review
- A novel hybridization capture method for direct whole genome sequencing of clinical specimens to inform Legionnaires' disease investigations.Journal of clinical microbiology · 2024Article
- A fast machine-learning-guided primer design pipeline for selective whole genome amplification.PLoS computational biology · 2023Article
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Authors and funding
19 authors at 4 institutions in 3 countries.
Funding
Abstract
In Brazil, Leishmania braziliensis is the main causative agent of the neglected tropical disease, cutaneous leishmaniasis (CL). CL presents on a spectrum of disease severity with a high rate of treatment failure. Yet the parasite factors that contribute to disease presentation and treatment outcome are not well understood, in part because successfully isolating and culturing parasites from patient lesions remains a major technical challenge. Here we describe the development of selective whole genome amplification (SWGA) for Leishmania and show that this method enables culture-independent analysis of parasite genomes obtained directly from primary patient skin samples, allowing us to circumvent artifacts associated with adaptation to culture. We show that SWGA can be applied to multiple Leishmania species residing in different host species, suggesting that this method is broadly useful in both experimental infection models and clinical studies. SWGA carried out directly on skin biopsies collected from patients in Corte de Pedra, Bahia, Brazil, showed extensive genomic diversity. Finally, as a proof-of-concept, we demonstrated that SWGA data can be integrated with published whole genome data from cultured parasite isolates to identify variants unique to specific geographic regions in Brazil where treatment failure rates are known to be high. SWGA provides a relatively simple method to generate Leishmania genomes directly from patient samples, unlocking the potential to link parasite genetics with host clinical phenotypes.
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