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Detalle de: Sequencing of SARS-CoV-2 genome using different nanopore chemistries

Title Sequencing of SARS-CoV-2 genome using different nanopore chemistries
Abstract

Nanopore sequencing has emerged as a rapid and cost-efficient tool for diagnostic and epidemiological surveillance of SARS-CoV-2 during the COVID-19 pandemic. This study compared the results from sequencing the SARS-CoV-2 genome using R9 vs R10 flow cells and a Rapid Barcoding Kit (RBK) vs a Ligation Sequencing Kit (LSK). The R9 chemistry provided a lower error rate (3.5%) than R10 chemistry (7%). The SARS-CoV-2 genome includes few homopolymeric regions. Longest homopolymers were composed of 7 (TTTTTTT) and 6 (AAAAAA) nucleotides. The R10 chemistry resulted in a lower rate of deletions in thymine and adenine homopolymeric regions than the R9, at the expenses of a larger rate (~10%) of mismatches in these regions. The LSK had a larger yield than the RBK, and provided longer reads than the RBK. It also resulted in a larger percentage of aligned reads (99 vs 93%) and also in a complete consensus genome. The results from this study suggest that the LSK preparation library provided longer DNA fragments which contributed to a better assembly of the SARS-CoV-2, despite an impaired detection of variants in a R10 flow cell. Nanopore sequencing could be used in epidemiological surveillance of SARS-CoV-2. KEY POINTS: • Sequencing SARS-CoV-2 genome is of great importance for the pandemic surveillance. • Nanopore offers a low cost and accurate method to sequence SARS-CoV-2 genome. • Ligation sequencing is preferred rather than the rapid kit using transposases.

Apa Reference González-Recio, O., Gutiérrez-Rivas, M., Peiró-Pastor, R., Aguilera-Sepúlveda, P., Cano-Gómez, C., Jiménez-Clavero, M.Á. & Fernández-Pinero, J. (2021). Sequencing of SARS-CoV-2 genome using different nanopore chemistries. Applied Microbiology and Biotechnology, 105(8), 3225-3234. 10.1007/s00253-021-11250-w
Doi 10.1007/s00253-021-11250-w
Publication Date Apr 2021
Publication Type Article
Researcher Ramón Peiró Pastor
Ontology Genome Assembly, Long-read sequencing
Research Groups
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