Discovery and Classification of the φ6 Bacteriophage: An Historical Review.


Journal

Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722

Informations de publication

Date de publication:
31 05 2023
Historique:
received: 14 02 2023
revised: 30 03 2023
accepted: 28 05 2023
medline: 29 6 2023
pubmed: 28 6 2023
entrez: 28 6 2023
Statut: epublish

Résumé

The year 2023 marks the fiftieth anniversary of the discovery of the bacteriophage φ6. The review provides a look back on the initial discovery and classification of the lipid-containing and segmented double-stranded RNA (dsRNA) genome-containing bacteriophage-the first identified cystovirus. The historical discussion describes, for the most part, the first 10 years of the research employing contemporary mutation techniques, biochemical, and structural analysis to describe the basic outline of the virus replication mechanisms and structure. The physical nature of φ6 was initially controversial as it was the first bacteriophage found that contained segmented dsRNA, resulting in a series of early publications that defined the unusual genomic quality. The technology and methods utilized in the initial research (crude by current standards) meant that the first studies were quite time-consuming, hence the lengthy period covered by this review. Yet when the data were accepted, the relationship to the reoviruses was apparent, launching great interest in cystoviruses, research that continues to this day.

Identifiants

pubmed: 37376608
pii: v15061308
doi: 10.3390/v15061308
pmc: PMC10304341
pii:
doi:

Substances chimiques

RNA, Viral 0
RNA, Double-Stranded 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Paul Gottlieb (P)

Department of Molecular, Cellular and Biomedical Sciences, The City University of New York School of Medicine, New York, NY 10031, USA.

Aleksandra Alimova (A)

Department of Molecular, Cellular and Biomedical Sciences, The City University of New York School of Medicine, New York, NY 10031, USA.

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Classifications MeSH