A proposal for biologically relevant classification of SARS-CoV-2 variants

The present classification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants plays a central role in shaping public health policies, vaccine strategies, and global risk communication. However, existing designations of variants of concern (VOCs) rely on evolving epidemiological and phenotypic criteria rather than quantitative genetic divergence thresholds. In this study, we evaluated the genetic divergence of SARS-CoV-2 variants relative to human immunodeficiency virus type 1 (HIV-1), hepatitis C virus (HCV), and influenza A virus, and proposed a framework integrating genetic, functional, and epidemiological criteria for variant classification. Comparative phylogenetic analysis assessed the divergence of SARS-CoV-2 (S) relative to HIV-1 (env), HCV (E1), and influenza A virus (HA). Maximum likelihood phylogenies with bootstrap support were constructed using MEGA6, and pairwise genetic distances were calculated through the maximum composite likelihood model. Monte Carlo simulations (n = 1,000) using adjusted SARS-CoV-2 evolutionary rates (0.0006 – 0.003 substitutions/site/year) estimated time to reach divergence thresholds defined by other viruses. SARS-CoV-2 variants showed a maximum divergence of 0.006 substitutions/site – far below thresholds for HIV-1 (0.157), HCV (0.371), and influenza A (1.956). Projections estimate HIV-1-like divergence in 53.7 years, HCV-like in 126.8 years, and influenza A-like in 668.6 years. No present VOC met all proposed functional criteria: transmissibility, immune escape, disease severity, and global dominance. Omicron exhibited partial immune escape but insufficient divergence for lineage reclassification. While present classification supports short-term response, integrating evolutionary benchmarks would enhance their biological relevance as the virus continues to diversify. A new evidence-based framework is needed to reduce public alarm, guide rational policymaking, and prioritize durable countermeasures over variant-specific responses.

Authors

Publication Details

Journal
Microbes & Immunity
Published
2025-06-17
DOI
https://doi.org/10.36922/mi025190042
Citations
1
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
1.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A proposal for biologically relevant classification of SARS-CoV-2 variants

Mohammed Sallam, Malik Sallam, Tarneem Sabra, Saja Al-Baidhani et al.
1 citations
Microbes & Immunity
SARS-CoV-2 and COVID-19 Research
1.40
article

A proposal for biologically relevant classification of SARS-CoV-2 variants

Mohammed Sallam, Malik Sallam, Tarneem Sabra, Saja Al-Baidhani, Aslam Al-Baidhani
article en
1 citations

Abstract

The present classification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants plays a central role in shaping public health policies, vaccine strategies, and global risk communication. However, existing designations of variants of concern (VOCs) rely on evolving epidemiological and phenotypic criteria rather than quantitative genetic divergence thresholds. In this study, we evaluated the genetic divergence of SARS-CoV-2 variants relative to human immunodeficiency virus type 1 (HIV-1), hepatitis C virus (HCV), and influenza A virus, and proposed a framework integrating genetic, functional, and epidemiological criteria for variant classification. Comparative phylogenetic analysis assessed the divergence of SARS-CoV-2 (S) relative to HIV-1 (env), HCV (E1), and influenza A virus (HA). Maximum likelihood phylogenies with bootstrap support were constructed using MEGA6, and pairwise genetic distances were calculated through the maximum composite likelihood model. Monte Carlo simulations (n = 1,000) using adjusted SARS-CoV-2 evolutionary rates (0.0006 – 0.003 substitutions/site/year) estimated time to reach divergence thresholds defined by other viruses. SARS-CoV-2 variants showed a maximum divergence of 0.006 substitutions/site – far below thresholds for HIV-1 (0.157), HCV (0.371), and influenza A (1.956). Projections estimate HIV-1-like divergence in 53.7 years, HCV-like in 126.8 years, and influenza A-like in 668.6 years. No present VOC met all proposed functional criteria: transmissibility, immune escape, disease severity, and global dominance. Omicron exhibited partial immune escape but insufficient divergence for lineage reclassification. While present classification supports short-term response, integrating evolutionary benchmarks would enhance their biological relevance as the virus continues to diversify. A new evidence-based framework is needed to reduce public alarm, guide rational policymaking, and prioritize durable countermeasures over variant-specific responses.

Microbes & ImmunityVol. 2(3)
Good health and well-being
Openalex Percentile: Top 19%
SARS-CoV-2 and COVID-19 Research
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A proposal for biologically relevant classification of SARS-CoV-2 variants — Mohammed Sallam, Malik Sallam, et al. · Microbes & Immunity (2025) | TGRS Research Map | TGRS