Abstract

Human coronaviruses are pathogenic viruses that have the ability to cause serious diseases or even death in humans. The receptor binding domain (RBD) of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the region of the spike protein, through which the virus directly interacts with the human Angiotensin-converting enzyme 2 receptor (ACE-2). Understanding the mutations that occur in the RBD and determining their influence on host cell binding plays an essential role in learning about the transmission mechanism of the disease and developing potential treatment. We chose to apply the error-prone Polymerase Chain Reaction (ep-PCR), usually used in directed evolution and targeted mutagenesis applications, and to optimize it for the SARS-CoV-2 RBD sequence. This was followed by sequencing to analyze the mutation pattern. In this study, a novel ep-PCR protocol was developed specifically for RBD, optimized for dNTP ratios, magnesium ions, manganese ions, and cycle numbers. Our results highlight the virulence-enhancing potential of mutations and enable researchers to evaluate potential vaccine candidates in the future. Furthermore, compared to earlier reports, the method described here requires only Sanger sequencing and a standard PCR cycler, therefore it is much more accessible. Most importantly, it yields combinatorial mutation diversity in one round, along the entire length of the sequence of interest.

Keywords

Error-prone PCRRBDSARS-CoV-2Spike protein

MeSH Terms

Spike GlycoproteinCoronavirusSARS-CoV-2HumansDirected Molecular EvolutionPolymerase Chain ReactionMutationCOVID-19Protein DomainsAngiotensin-Converting Enzyme 2Protein BindingBinding Sites

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Publication Info

Year
2025
Type
article
Volume
53
Issue
1
Pages
184-184
Citations
0
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Closed

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Cite This

Tanay Uzgan, Bianca Schulte, H. Tansel Yalçın (2025). Improving directed evolution strategies: error-prone PCR optimization for SARS-CoV-2 spike receptor binding domain. Molecular Biology Reports , 53 (1) , 184-184. https://doi.org/10.1007/s11033-025-11359-5

Identifiers

DOI
10.1007/s11033-025-11359-5
PMID
41369845

Data Quality

Data completeness: 81%