ArticleBMC genomics2016
Cryptosporidium as a testbed for single cell genome characterization of unicellular eukaryotes.
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
32 citing papers in PubMed, 59 citations in OpenAlex.
- Advancing genomics for waterborne pathogen surveillance in Australia.The Lancet regional health. Western Pacific · 2026Review
- Investigating within-host population diversity of Cryptosporidium parvum using BlooMine.BMC genomics · 2025Article
- Article
- Evaluating the Benefits and Limits of Multiple Displacement Amplification With Whole-Genome Oxford Nanopore Sequencing.Molecular ecology resources · 2025Article
- Article
- Chromosome-level genome assembly of Cryptosporidium parvum by long-read sequencing of ten oocysts.Scientific data · 2024Article
- Comparative genomics ofGenome research · 2024Article
- Sequence introgression from exogenous lineages underlies genomic and biological differences among Cryptosporidium parvum IOWA lines.Water research · 2024Article
- Review
- Analytic Approaches in Genomic Epidemiological Studies of Parasitic Protozoa.Transboundary and emerging diseases · 2024Review
- InvestigatingInternational journal of molecular sciences · 2023Review
- Hastening Progress inMicroorganisms · 2022Article
- An update onJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2022Review
- The Long and Short of Next Generation Sequencing forFrontiers in cellular and infection microbiology · 2022Review
- Long-read assembly and comparative evidence-based reanalysis ofGenome research · 2022Article
- Cross-Border Investigations on the Prevalence and Transmission Dynamics ofMicroorganisms · 2021Article
- Single-cell genome sequencing of protozoan parasites.Trends in parasitology · 2021Review
- Challenges forGenes · 2021Review
- Article
- Evaluation of whole genome amplification and bioinformatic methods for the characterization of Leishmania genomes at a single cell level.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInfectious 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.
resultsCells 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.
conclusionsAs 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.