Your browser doesn't support javascript.
Genome Structure, Life Cycle, and Taxonomy of Coronaviruses and the Evolution of SARS-CoV-2.
Lamkiewicz, Kevin; Esquivel Gomez, Luis Roger; Kühnert, Denise; Marz, Manja.
  • Lamkiewicz K; RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, Leutragraben 1, 07743, Jena, Germany.
  • Esquivel Gomez LR; European Virus Bioinformatics Center, Leutragraben 1, 07743, Jena, Germany.
  • Kühnert D; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstr. 4, 04103, Leipzig, Germany.
  • Marz M; Transmission, Infection, Diversification and Evolution Group, Max Planck Institute for the Science of Human History, Kahlaische Straße 10, 07745, Jena, Germany.
Curr Top Microbiol Immunol ; 439: 305-339, 2023.
Article in English | MEDLINE | ID: covidwho-2173657
ABSTRACT
Coronaviruses have a broad host range and exhibit high zoonotic potential. In this chapter, we describe their genomic organization in terms of encoded proteins and provide an introduction to the peculiar discontinuous transcription mechanism. Further, we present evolutionary conserved genomic RNA secondary structure features, which are involved in the complex replication mechanism. With a focus on computational methods, we review the emergence of SARS-CoV-2 starting with the 2019 strains. In that context, we also discuss the debated hypothesis of whether SARS-CoV-2 was created in a laboratory. We focus on the molecular evolution and the epidemiological dynamics of this recently emerged pathogen and we explain how variants of concern are detected and characterised. COVID-19, the disease caused by SARS-CoV-2, can spread through different transmission routes and also depends on a number of risk factors. We describe how current computational models of viral epidemiology, or more specifically, phylodynamics, have facilitated and will continue to enable a better understanding of the epidemic dynamics of SARS-CoV-2.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study Topics: Variants Limits: Animals Language: English Journal: Curr Top Microbiol Immunol Year: 2023 Document Type: Article Affiliation country: 978-3-031-15640-3_9

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study Topics: Variants Limits: Animals Language: English Journal: Curr Top Microbiol Immunol Year: 2023 Document Type: Article Affiliation country: 978-3-031-15640-3_9