Evaluation of whole genome amplification and bioinformatic methods for the characterization of Leishmania genomes at a single cell level

Hideo Imamura, Pieter Monsieurs, Marlene Jara, Mandy Sanders, Ilse Maes, Manu Vanaerschot, Matthew Berriman, James A Cotton, Jean-Claude Dujardin, Malgorzata A Domagalska

Research output: Contribution to journalA1: Web of Science-article

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Abstract

Here, we report a pilot study paving the way for further single cell genomics studies in Leishmania. First, the performances of two commercially available kits for Whole Genome Amplification (WGA), PicoPLEX and RepliG were compared on small amounts of Leishmania donovani DNA, testing their ability to preserve specific genetic variations, including aneuploidy levels and SNPs. We show here that the choice of WGA method should be determined by the planned downstream genetic analysis, PicoPLEX and RepliG performing better for aneuploidy and SNP calling, respectively. This comparison allowed us to evaluate and optimize corresponding bio-informatic methods. As PicoPLEX was shown to be the preferred method for studying single cell aneuploidy, this method was applied in a second step, on single cells of L. braziliensis, which were sorted by fluorescence activated cell sorting (FACS). Even sequencing depth was achieved in 28 single cells, allowing accurate somy estimation. A dominant karyotype with three aneuploid chromosomes was observed in 25 cells, while two different minor karyotypes were observed in the other cells. Our method thus allowed the detection of aneuploidy mosaicism, and provides a solid basis which can be further refined to concur with higher-throughput single cell genomic methods. 

Original languageEnglish
Article number15043
JournalScientific Reports
Volume10
Issue number1
Number of pages13
ISSN2045-2322
DOIs
Publication statusPublished - 2020

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