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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Updated: Dec 1, 2025

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
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[Sars-CoV-2 genomic and phylodynamic analyses].

Baptiste Elie1,2, Samuel Alizon1

  • 1Laboratoire maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (UMR CNRS 5290, IRD, UM), 911 avenue Agropolis, 34394 Montpellier cedex 5, France.

Revue Francophone Des Laboratoires : RFL
|November 9, 2020
PubMed
Summary

The Covid-19 pandemic generated vast genomic data, enabling scientists to trace the virus's origin and spread using phylodynamics. This analysis helped date its emergence in China and France.

Keywords:
Covid-19Sars-CoV-2epidemiology sequencingphylogenies

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Area of Science:

  • Genomics
  • Epidemiology
  • Computational Biology

Context:

  • The Covid-19 pandemic, similar to Ebola and Zika outbreaks, resulted in an unprecedented volume of genomic data.
  • Genomic surveillance has become crucial for understanding and managing viral epidemics.

Purpose:

  • To leverage the massive influx of genomic data generated during the Covid-19 pandemic.
  • To apply phylodynamic techniques for analyzing viral origins and transmission patterns.

Summary:

  • Analysis of Covid-19 genomic data allowed for the determination of the virus's origin.
  • Phylodynamic methods were employed to date the emergence of SARS-CoV-2 in China and its subsequent spread to France.
  • The study demonstrates the utility of phylodynamics in tracking epidemic dynamics.

Impact:

  • Enhanced understanding of viral evolution and spread during a global health crisis.
  • Provides a framework for utilizing genomic data in future epidemic responses.
  • Informs public health strategies through detailed insights into pathogen transmission.