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Updated: Nov 2, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Co-mutation modules capture the evolution and transmission patterns of SARS-CoV-2
Luyao Qin1, Xiao Ding1, Yongjie Li2
1Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005; Suzhou Institute of Systems Medicine, Suzhou, Jiangsu 215123, China.
Identifying co-mutation modules in SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) genomes helps classify viral groups and track their evolution. This approach reveals geographic-specific variants and transmission patterns to aid pandemic control.
Area of Science:
- Genomics
- Virology
- Epidemiology
Background:
- The COVID-19 pandemic, caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2), necessitates understanding viral genetic diversity.
- Mutation analysis reveals ongoing evolution, potentially altering infectivity and pathogenicity.
- Delineating SARS-CoV-2 genetic variants is crucial for tracking evolution and transmission.
Purpose of the Study:
- To identify and classify SARS-CoV-2 genetic variants based on nucleotide co-substitution patterns.
- To analyze the phylogenetic relationships and spatio-temporal distribution of these variants.
- To provide insights into viral evolution and transmission dynamics for pandemic control.
Main Methods:
- Identification of 42 co-mutation modules comprising co-substituted nucleotides in SARS-CoV-2 genomes.
- Classification of the viral population into 43 distinct groups based on these modules.
- Phylogenetic analysis using inconsistent co-mutation modules, validated with phylogenetic trees.
- Tracking spatio-temporal distribution and geographic specificity of identified viral groups.
Main Results:
- 42 co-mutation modules were identified, leading to the classification of SARS-CoV-2 into 43 groups.
- Phylogenetic relationships among groups were established.
- Spatio-temporal tracking revealed 11 geographic-specific groups.
- Distinct co-circulating groups were observed during different epidemic periods, with dominant groups exhibiting parallel evolution sub-groups.
Conclusions:
- The co-mutation module approach effectively captures SARS-CoV-2 evolution and transmission patterns.
- Understanding variant dynamics aids in guiding COVID-19 pandemic prevention and control strategies.
- An interactive website is available for genome grouping and spatio-temporal visualization.
Related Concept Videos
Viral Mutations
Mutations in Microorganisms
Viral Recombination
Mutation, Gene Flow, and Genetic Drift
Single Nucleotide Polymorphisms-SNPs
Point and Frameshift Mutations

