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Evaluation of whole genome amplification and bioinformatic methods for the characterization of Leishmania genomes at a single cell level
- Source :
- Scientific reports, Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020), Scientific Reports
- Publication Year :
- 2020
- Publisher :
- Nature Research, 2020.
-
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.
- Subjects :
- Genomic instability
0301 basic medicine
030231 tropical medicine
lcsh:Medicine
Aneuploidy
Genomics
Single-nucleotide polymorphism
Computational biology
Biology
Genome
Genetic analysis
Article
Deep sequencing
03 medical and health sciences
0302 clinical medicine
medicine
lcsh:Science
030304 developmental biology
Whole Genome Amplification
Leishmania
0303 health sciences
Multidisciplinary
lcsh:R
Parasite genomics
Computational Biology
Karyotype
medicine.disease
Flow Cytometry
030104 developmental biology
Karyotyping
Next-generation sequencing
lcsh:Q
Single-Cell Analysis
Engineering sciences. Technology
Genome, Protozoan
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Database :
- OpenAIRE
- Journal :
- Scientific reports, Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020), Scientific Reports
- Accession number :
- edsair.doi.dedup.....0a79bf1cbf7fe95c67a65214f84ba7d6