Video Experimental Relacionado

Updated: Aug 10, 2025

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Published on: June 30, 2023

Caracterización de las variantes del SARS-CoV-2 en Beijing durante 2022: un análisis epidemiológico y filogenético

Yang Pan¹, Liang Wang², Zhaomin Feng¹

¹Beijing Center for Disease Prevention and Control, Beijing, China.

Lancet (London, England)

|February 11, 2023

Resumen

La ciudad de Beijing

Área de la Ciencia:

Virología
La genómica
Epidemiología

Sus antecedentes:

La estrategia dinámica de cero COVID de China limitó la transmisión local de SARS-CoV-2 en Beijing antes de diciembre de 2022.
Los casos importados frecuentes y las recientes oleadas de COVID-19 generaron preocupaciones sobre las nuevas variantes del SARS-CoV-2.
La vigilancia rutinaria del genoma viral en Beijing es vital para la respuesta mundial a la pandemia.

Objetivo del estudio:

Para analizar las secuencias del genoma del SARS-CoV-2 de Beijing.
Para investigar el surgimiento de nuevas variantes en medio del aumento de los casos de COVID-19.
Para entender la dinámica espacio-temporal de las cepas circulantes.

Principales métodos:

Muestras respiratorias recolectadas de casos importados y locales en Beijing (enero-diciembre de 2022).
Se utilizó la secuenciación de próxima generación para la generación del genoma del SARS-CoV-2.
Se han realizado análisis filogenéticos y dinámicos de poblaciones en secuencias completas de alta calidad.

Principales resultados:

Se generaron 2994 genomas completos del SARS-CoV-2 (2881 de alta calidad).
Secuenciaron 413 nuevas muestras (del 14 de noviembre al 20 de diciembre de 2022), incluidos 350 casos locales y 63 importados.
Se identificaron BA.5.2 y BF.7 como cepas dominantes (90% de los casos locales), con un aumento en el tamaño efectivo de la población desde el 14 de noviembre de 2022. No se detectaron nuevos linajes.

Conclusiones:

BF.7 y BA.5.2 circularon conjuntamente en el brote de Beijing desde el 14 de noviembre de 2022, sin evidencia de nuevas variantes.
Los datos de Beijing ofrecen una instantánea de la situación de China debido al intercambio de población.
La alta transmisibilidad de las cepas en circulación justifica un seguimiento continuo.

Más Videos Relacionados

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2

Published on: November 5, 2021

Videos de Conceptos Relacionados

Single Nucleotide Polymorphisms-SNPs

Single Nucleotide Polymorphisms-SNPs

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,...

Viral Mutations

Viral Mutations

A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...

Steps in Outbreak Investigation

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:

Statistical Methods for Analyzing Epidemiological Data

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:

Conjugated Proteins

Conjugated Proteins

Simple proteins and protein complexes contain only amino acids. In contrast, many other proteins, called conjugated proteins, covalently bond with non-protein moieties.
Nucleoproteins are protein complexes that contain nucleic acids, categorized as deoxyribonucleoproteins (DNPs) or ribonucleoproteins (RNPs) respectively. The nucleosome is a typical example of a DNP where nuclear DNA is associated with histone proteins. The major antigen for the Covid-19 virus SARS-CoV is an RNP that is critical...