Draft Hybrid Genome Assembly of a Canadian Cyclospora cayetanensis Isolate.


Journal

Microbiology resource announcements
ISSN: 2576-098X
Titre abrégé: Microbiol Resour Announc
Pays: United States
ID NLM: 101728794

Informations de publication

Date de publication:
17 Feb 2022
Historique:
pubmed: 4 2 2022
medline: 4 2 2022
entrez: 3 2 2022
Statut: ppublish

Résumé

The apicomplexan parasite Cyclospora cayetanensis causes foodborne gastrointestinal disease in humans. Here, we report the first hybrid assembly for C. cayetanensis, which uses both Illumina MiSeq and Oxford Nanopore Technologies MinION platforms to generate genomic sequence data. The final genome assembly consists of 44,586,677 bases represented in 313 contigs.

Identifiants

pubmed: 35112896
doi: 10.1128/mra.01072-21
pmc: PMC8812300
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0107221

Subventions

Organisme : Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA)
ID : FS2016-3010
Organisme : Public Health Agency of Canada (PHAC)

Auteurs

Christine A Yanta (CA)

Division of Enteric Diseases, National Microbiology Laboratory at Guelph, Public Health Agency of Canada, Guelph, Ontario, Canada.
Department of Pathobiology, University of Guelph, Guelph, Ontario, Canada.

Stephen M J Pollo (SMJ)

Department of Ecosystem and Public Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada.

John R Barta (JR)

Department of Pathobiology, University of Guelph, Guelph, Ontario, Canada.

Sarah J Reiling (SJ)

Bureau of Microbial Hazards, Food Directorate, Health Canada, Ottawa, Ontario, Canada.

James D Wasmuth (JD)

Department of Ecosystem and Public Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada.

Brent R Dixon (BR)

Bureau of Microbial Hazards, Food Directorate, Health Canada, Ottawa, Ontario, Canada.

Rebecca A Guy (RA)

Division of Enteric Diseases, National Microbiology Laboratory at Guelph, Public Health Agency of Canada, Guelph, Ontario, Canada.

Classifications MeSH