The Strengths of Scanning Electron Microscopy in Deciphering SARS-CoV-2 Infectious Cycle
Título
The Strengths of Scanning Electron Microscopy in Deciphering SARS-CoV-2 Infectious Cycle
Autor
Bernard La Scola, Djamal Brahim Belhaouari, Anthony Fontanini, Jean-Pierre Baudoin, Gabriel Haddad, Marion Le Bideau, Jacques Yaacoub Bou Khalil, Didier Raoult, Bernard La Scola
Descripción
Electron microscopy is a powerful tool in the field of microbiology. It has played a key role in the rapid diagnosis of viruses in patient samples and has contributed significantly to the clarification of virus structure and function, helping to guide the public health response to emerging viral infections. In the present study, we used scanning electron microscopy (SEM) to study the infectious cycle of SARS-CoV-2 in Vero E6 cells and we controlled some key findings by classical transmission electronic microscopy (TEM). The replication cycle of the virus was followed from 1 to 36 h post-infection. Our results revealed that SARS-CoV-2 infected the cells through membrane fusion. Particles are formed in the peri-nuclear region from a budding of the endoplasmic reticulum-Golgi apparatus complex into morphogenesis matrix vesicae. New SARS-CoV-2 particles were expelled from the cells, through cell lysis or by fusion of virus containing vacuoles with the cell plasma membrane. Overall, this cycle is highly comparable to that of SARS-CoV. By providing a detailed and complete SARS-CoV-2 infectious cycle, SEM proves to be a very rapid and efficient tool compared to classical TEM.
Fecha
2020
Materia
coronavirus, Scanning electron microscopy, SARS-CoV-2, infectious cycle, Vero E6 cells
Identificador
10.3389/fmicb.2020.02014
Fuente
Epidemiology and Health
Editor
Korean Society of Epidemiology
Cobertura
Microbiology
Colección
Citación
Bernard La Scola, Djamal Brahim Belhaouari, Anthony Fontanini, Jean-Pierre Baudoin, Gabriel Haddad, Marion Le Bideau, Jacques Yaacoub Bou Khalil, Didier Raoult, Bernard La Scola, “The Strengths of Scanning Electron Microscopy in Deciphering SARS-CoV-2 Infectious Cycle,” SOCICT Open, consulta 17 de abril de 2026, https://www.socictopen.socict.org/items/show/7305.
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