Complete Genome Sequences of Three Ornithobacterium rhinotracheale Strains from Avian Sources, Using Hybrid Nanopore-Illumina Assembly.


Journal

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

Informations de publication

Date de publication:
16 Feb 2023
Historique:
pubmed: 1 2 2023
medline: 1 2 2023
entrez: 31 1 2023
Statut: ppublish

Résumé

Ornithobacterium rhinotracheale has been associated with respiratory disease in poultry, particularly turkeys, leading to significant economic losses. However, O. rhinotracheale is poorly studied, and a very limited number of complete genomes are available. Here, we report the complete genome sequences of three O. rhinotracheale strains, generated using a Nanopore-Illumina hybrid assembly approach.

Identifiants

pubmed: 36719200
doi: 10.1128/mra.01059-22
pmc: PMC9933691
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0105922

Subventions

Organisme : Agriculture and Food Research Initiative, USDA
ID : competitive grant 2015-68004-23131

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Auteurs

Amro Hashish (A)

Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA.
National Laboratory for Veterinary Quality Control on Poultry Production, Animal Health Research Institute, Agriculture Research Center, Giza, Egypt.

Timothy J Johnson (TJ)

Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota, USA.

Emily Smith (E)

Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota, USA.

Dhiraj Chundru (D)

Department of Veterinary Medicine, Virginia-Maryland College of Veterinary Medicine, Blacksburg, Virginia, USA.

Michele L Williams (ML)

Department of Veterinary Medicine, Virginia-Maryland College of Veterinary Medicine, Blacksburg, Virginia, USA.

Nubia R Macedo (NR)

Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA.

Yuko Sato (Y)

Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA.

Mostafa Ghanem (M)

Department of Veterinary Medicine, Virginia-Maryland College of Veterinary Medicine, Blacksburg, Virginia, USA.

Mohamed El-Gazzar (M)

Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA.

Classifications MeSH