As we approach the five-year anniversary of the COVID-19 pandemic, it is worth reflecting not only on the paradigm-shifting impact of the initial outbreak, but also on how SARS-CoV-2 continues to evolve. Much of this evolution centers on the virus’s spike protein—the molecular key that allows the virus to enter human cells and the primary target of the immune response generated by infection and vaccination. The spike protein binds to the ACE2 receptor on the cell surface, a process that depends on subtle structural movements that expose or conceal the receptor-binding domain. Because spike sits at the intersection of viral infectivity and immune recognition, even small changes can have outsized effects on how efficiently the virus spreads and how well it evades existing immunity.
Understanding how viruses evolve under immune pressure requires tools that can keep pace with viral evolution. Dr. Jesse Bloom’s research group in the Basic Sciences Division specializes in developing high-throughput experimental approaches to map how mutations alter viral proteins, particularly in the context of antibody recognition and viral fitness. Over the past several years, the Bloom lab has applied these methods to SARS-CoV-2 to systematically chart how spike mutations affect infectivity and immune escape, generating datasets that have helped interpret emerging variants and anticipate evolutionary trends.
To systematically test how spike mutations influence viral behavior, the Bloom lab’s newest study in the Journal of Virology used a technique called pseudovirus-based deep mutational scanning. In this approach, they generate large libraries of harmless, single-round–infecting viral particles that each carry a slightly different version of the SARS-CoV-2 spike protein, tagged with a unique genetic barcode. These pseudoviruses can enter cells but cannot replicate or spread, allowing thousands of spike variants to be tested safely. By tracking how each barcoded variant performs across different assays—such as cell entry, ACE2 binding, or antibody neutralization—the researchers can directly link specific mutations to functional outcomes.
The study centered on a spike sequence—KP.3.1.1—which represents recently circulating SARS-CoV-2 variant, and was specifically chosen because it reflects many of the antigenic changes now common across contemporary lineages and closely resembles spike proteins used in current vaccine formulations. The mutation libraries were designed to emphasize changes most relevant to ongoing viral evolution, capturing both mutations already observed in circulating viruses and changes at sites known to strongly influence antibody recognition and spike conformation.
The analysis showed that different classes of mutations have distinct effects on spike function: mutating stop codons strongly impaired entry, the effects of amino acid substitutions ranged from highly deleterious to well tolerated depending on the site, and mutations resulting in short deletions—particularly in the N-terminal domain—were often compatible with efficient cell entry, mirroring patterns seen in circulating variants. Their results also highlight that ACE2 binding and cell entry are related but distinct properties of spike, with many mutations—especially those near the base of the receptor-binding domain (RBD), the part of spike that directly engages the ACE2 receptor on human cells—altering receptor engagement by changing how often the RBD adopts an accessible conformation.