The emergence of putative epistatic mutations and iSNVs in SARS-CoV-2 XBB.1.16 variants linked with alteration in immunogenic determinants
Frontiers in Immunology·
- DOI
- 10.3389/fimmu.2026.1846973
- PMID
- —
- PMCID
- —
- OpenAlex
- —
- Study type
- Journal article
- Publisher
- Frontiers Media SA
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The work addresses how putative epistatic spike mutations in XBB.1.16 may contribute to immune evasion and variant dominance, relevant to understanding SARS-CoV-2 evolutionary trajectories.
Structured evidence summary
Research question
The study investigates intra-host evolutionary dynamics and putative epistatic interactions within the spike protein of SARS-CoV-2 XBB.1.16 variants, particularly in relation to immune evasion and variant dominance.
Study design
A genomics and computational analysis screening intra-host single nucleotide variations (iSNVs) and mutations in SARS-CoV-2 genomes from closely related individuals sampled at two time points (symptom onset and recovery), supplemented with higher-order protein structural predictions.
Population and setting
Closely related individuals infected with SARS-CoV-2 in India, sampled at symptom onset and during recovery; contextualized against contemporary SARS-CoV-2 XBB.1.16 genome data.
Main findings
Putative epistatic iSNVs (E180V, G184V, G252V, D253G, and P521S/T) were prominent in XBB.1.16 variants during the recovery phase. E180V showed mutational co-occurrence with G252V and P521T in a subset of samples, a pattern mirrored in contemporary genomes. Structural predictions suggest these interactions may relate to spike protein folding and stability, with potential implications for immune evasion.
Public-health relevance
The work addresses how putative epistatic spike mutations in XBB.1.16 may contribute to immune evasion and variant dominance, relevant to understanding SARS-CoV-2 evolutionary trajectories.
Important limitations
Findings are derived from a small set of closely related individuals with two sampling time points and rely on computational/predictive structural methods rather than functional validation. This summary is limited to the supplied single-article abstract/metadata and requires the original paper for decision-grade interpretation.
GIDS interpretation
The paper provides genomic and structural context for XBB.1.16 spike evolution in India; it does not constitute a live surveillance signal and should be interpreted as a snapshot of variant characterization at the time of publication.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 8 auditable classifier relationships to diseases, places, topics, and study design.