Abstract
Primer sets are short DNA sequences of 18-22 base pairs, that can be used to verify the presence of a virus, and designed to attach to a specific part of a viral DNA. Designing a primer set requires choosing a region of DNA, avoiding the possibility of hybridization to a similar sequence, as well as considering its GC content and Tm (melting temperature). Coronaviruses, such as SARS-CoV-2, have a considerably large genome (around 30 thousand nucleotides) when compared to other viruses. With the rapid rise and spread of SARS-CoV-2 variants, it has become a priority to breach our lack of specific primers available for diagnosis of this new variants. Here, we propose an evolutionary-based approach to primer design, able to rapidly deliver a high-quality primer set for a target sequence of the virus variant. Starting from viral sequences collected from open repositories, the proposed approach is proven able to uncover a specific primer set for the B.1.1.7 SARS-CoV-2 variant. Only recently identified, B.1.1.7 is already considered potentially dangerous, as it presents a considerably higher transmissibility when compared to other variants.
Original language | English |
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Title of host publication | GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference |
Editors | Francisco Chicano |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Pages | 982-990 |
Number of pages | 9 |
ISBN (Electronic) | 978-1-4503-8350-9 |
DOIs | |
Publication status | Published - 26 Jun 2021 |
Event | 2021 Genetic and Evolutionary Computation Conference, GECCO 2021 - Virtual, Online, France Duration: 10 Jul 2021 → 14 Jul 2021 |
Conference
Conference | 2021 Genetic and Evolutionary Computation Conference, GECCO 2021 |
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Country/Territory | France |
City | Virtual, Online |
Period | 10/07/21 → 14/07/21 |
Bibliographical note
Publisher Copyright:© 2021 ACM.
Keywords
- B.1.1.7
- Genetic algorithm
- Primers
- SARS-CoV-2