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Cryptosporidium as a testbed for single cell genome characterization of unicellular eukaryotes
BACKGROUND: Infectious disease involving multiple genetically distinct populations of pathogens is frequently concurrent, but difficult to detect or describe with current routine methodology. Cryptosporidium sp. is a widespread gastrointestinal protozoan of global significance in both animals and hu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917956/ https://www.ncbi.nlm.nih.gov/pubmed/27338614 http://dx.doi.org/10.1186/s12864-016-2815-y |
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author | Troell, Karin Hallström, Björn Divne, Anna-Maria Alsmark, Cecilia Arrighi, Romanico Huss, Mikael Beser, Jessica Bertilsson, Stefan |
author_facet | Troell, Karin Hallström, Björn Divne, Anna-Maria Alsmark, Cecilia Arrighi, Romanico Huss, Mikael Beser, Jessica Bertilsson, Stefan |
author_sort | Troell, Karin |
collection | PubMed |
description | BACKGROUND: Infectious disease involving multiple genetically distinct populations of pathogens is frequently concurrent, but difficult to detect or describe with current routine methodology. Cryptosporidium sp. is a widespread gastrointestinal protozoan of global significance in both animals and humans. It cannot be easily maintained in culture and infections of multiple strains have been reported. To explore the potential use of single cell genomics methodology for revealing genome-level variation in clinical samples from Cryptosporidium-infected hosts, we sorted individual oocysts for subsequent genome amplification and full-genome sequencing. RESULTS: Cells were identified with fluorescent antibodies with an 80 % success rate for the entire single cell genomics workflow, demonstrating that the methodology can be applied directly to purified fecal samples. Ten amplified genomes from sorted single cells were selected for genome sequencing and compared both to the original population and a reference genome in order to evaluate the accuracy and performance of the method. Single cell genome coverage was on average 81 % even with a moderate sequencing effort and by combining the 10 single cell genomes, the full genome was accounted for. By a comparison to the original sample, biological variation could be distinguished and separated from noise introduced in the amplification. CONCLUSIONS: As a proof of principle, we have demonstrated the power of applying single cell genomics to dissect infectious disease caused by closely related parasite species or subtypes. The workflow can easily be expanded and adapted to target other protozoans, and potential applications include mapping genome-encoded traits, virulence, pathogenicity, host specificity and resistance at the level of cells as truly meaningful biological units. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2815-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4917956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49179562016-06-24 Cryptosporidium as a testbed for single cell genome characterization of unicellular eukaryotes Troell, Karin Hallström, Björn Divne, Anna-Maria Alsmark, Cecilia Arrighi, Romanico Huss, Mikael Beser, Jessica Bertilsson, Stefan BMC Genomics Research Article BACKGROUND: Infectious disease involving multiple genetically distinct populations of pathogens is frequently concurrent, but difficult to detect or describe with current routine methodology. Cryptosporidium sp. is a widespread gastrointestinal protozoan of global significance in both animals and humans. It cannot be easily maintained in culture and infections of multiple strains have been reported. To explore the potential use of single cell genomics methodology for revealing genome-level variation in clinical samples from Cryptosporidium-infected hosts, we sorted individual oocysts for subsequent genome amplification and full-genome sequencing. RESULTS: Cells were identified with fluorescent antibodies with an 80 % success rate for the entire single cell genomics workflow, demonstrating that the methodology can be applied directly to purified fecal samples. Ten amplified genomes from sorted single cells were selected for genome sequencing and compared both to the original population and a reference genome in order to evaluate the accuracy and performance of the method. Single cell genome coverage was on average 81 % even with a moderate sequencing effort and by combining the 10 single cell genomes, the full genome was accounted for. By a comparison to the original sample, biological variation could be distinguished and separated from noise introduced in the amplification. CONCLUSIONS: As a proof of principle, we have demonstrated the power of applying single cell genomics to dissect infectious disease caused by closely related parasite species or subtypes. The workflow can easily be expanded and adapted to target other protozoans, and potential applications include mapping genome-encoded traits, virulence, pathogenicity, host specificity and resistance at the level of cells as truly meaningful biological units. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2815-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-06-23 /pmc/articles/PMC4917956/ /pubmed/27338614 http://dx.doi.org/10.1186/s12864-016-2815-y Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Troell, Karin Hallström, Björn Divne, Anna-Maria Alsmark, Cecilia Arrighi, Romanico Huss, Mikael Beser, Jessica Bertilsson, Stefan Cryptosporidium as a testbed for single cell genome characterization of unicellular eukaryotes |
title | Cryptosporidium as a testbed for single cell genome characterization of unicellular eukaryotes |
title_full | Cryptosporidium as a testbed for single cell genome characterization of unicellular eukaryotes |
title_fullStr | Cryptosporidium as a testbed for single cell genome characterization of unicellular eukaryotes |
title_full_unstemmed | Cryptosporidium as a testbed for single cell genome characterization of unicellular eukaryotes |
title_short | Cryptosporidium as a testbed for single cell genome characterization of unicellular eukaryotes |
title_sort | cryptosporidium as a testbed for single cell genome characterization of unicellular eukaryotes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917956/ https://www.ncbi.nlm.nih.gov/pubmed/27338614 http://dx.doi.org/10.1186/s12864-016-2815-y |
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