Single-cell genome sequencing of protozoan parasites

Author(s):  
Aliou Dia ◽  
Ian H. Cheeseman
Author(s):  
S. Bhattacharya ◽  
J. Lillis ◽  
C. Baker ◽  
M. Guo ◽  
J.R. Myers ◽  
...  

2021 ◽  
Author(s):  
Gabriel H. Negreira ◽  
Pieter Monsieurs ◽  
Hideo Imamura ◽  
Ilse Maes ◽  
Nada Kuk ◽  
...  

Leishmania, a unicellular eukaryotic parasite, is a unique model for aneuploidy and cellular heterogeneity, along with their potential role in adaptation to environmental stresses. Somy variation within clonal populations was previously explored in a small subset of chromosomes using fluorescence hybridization methods. This phenomenon, termed mosaic aneuploidy (MA) might have important evolutionary and functional implications, but remains under-explored due to technological limitations. Here, we applied and validated a high throughput single-cell genome sequencing method to study for the first time the extent and dynamics of whole karyotype heterogeneity in two Leishmania clonal populations representing different stages of MA evolution in vitro. We found that drastic changes in karyotypes quickly emerge in a population stemming from an almost euploid founder cell. This possibly involves polyploidization/hybridization at an early stage of population expansion, followed by assorted ploidy reduction. During further stages of expansion, MA increases by moderate and gradual karyotypic alterations. MA usually affected a defined subset of chromosomes, of which some display enrichment in snoRNA genes which could represent an adaptative benefit to the amplification of these chromosomes. Our data provide the first complete characterization of MA in Leishmania and pave the way for further functional studies.


2017 ◽  
Vol 1 (3) ◽  
pp. 249-255 ◽  
Author(s):  
Robert M. Bowers ◽  
Devin F.R. Doud ◽  
Tanja Woyke

Single-cell genome sequencing of individual archaeal and bacterial cells is a vital approach to decipher the genetic makeup of uncultured microorganisms. With this review, we describe single-cell genome analysis with a focus on the unique properties of single-cell sequence data and with emphasis on quality assessment and assurance.


Cell ◽  
2019 ◽  
Vol 179 (5) ◽  
pp. 1207-1221.e22 ◽  
Author(s):  
Emma Laks ◽  
Andrew McPherson ◽  
Hans Zahn ◽  
Daniel Lai ◽  
Adi Steif ◽  
...  

2016 ◽  
Author(s):  
Sarah A. Vitak ◽  
Kristof A. Torkenczy ◽  
Jimi L. Rosenkrantz ◽  
Andrew J. Fields ◽  
Lena Christiansen ◽  
...  

AbstractSingle cell genome sequencing has proven to be a valuable tool for the detection of somatic variation, particularly in the context of tumor evolution and neuronal heterogeneity. Current technologies suffer from high per-cell library construction costs which restrict the number of cells that can be assessed, thus imposing limitations on the ability to quantitatively measure genomic heterogeneity within a tissue. Here, we present Single cell Combinatorial Indexed Sequencing (SCI-seq) as a means of simultaneously generating thousands of low-pass single cell libraries for the purpose of somatic copy number variant detection. In total, we constructed libraries for 16,698 single cells from a combination of cultured cell lines, frontal cortex tissue from Macaca mulatta, and two human adenocarcinomas. This novel technology provides the opportunity for low-cost, deep characterization of somatic copy number variation in single cells, providing a foundational knowledge across both healthy and diseased tissues.


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