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SARS-CoV-2 complete genome sequencing from the Italian Campania region using a highly automated next generation sequencing system
BACKGROUND: Since the first complete genome sequencing of SARS-CoV-2 in December 2019, more than 550,000 genomes have been submitted into the GISAID database. Sequencing of the SARS-CoV-2 genome might allow identification of variants with increased contagiousness, different clinical patterns and/or...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8179693/ https://www.ncbi.nlm.nih.gov/pubmed/34090468 http://dx.doi.org/10.1186/s12967-021-02912-4 |
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author | Rachiglio, Anna Maria De Sabato, Luca Roma, Cristin Cennamo, Michele Fiorenza, Mariano Terracciano, Daniela Pasquale, Raffaella Bergantino, Francesca Cavalcanti, Ernesta Botti, Gerardo Vaccari, Gabriele Portella, Giuseppe Normanno, Nicola |
author_facet | Rachiglio, Anna Maria De Sabato, Luca Roma, Cristin Cennamo, Michele Fiorenza, Mariano Terracciano, Daniela Pasquale, Raffaella Bergantino, Francesca Cavalcanti, Ernesta Botti, Gerardo Vaccari, Gabriele Portella, Giuseppe Normanno, Nicola |
author_sort | Rachiglio, Anna Maria |
collection | PubMed |
description | BACKGROUND: Since the first complete genome sequencing of SARS-CoV-2 in December 2019, more than 550,000 genomes have been submitted into the GISAID database. Sequencing of the SARS-CoV-2 genome might allow identification of variants with increased contagiousness, different clinical patterns and/or different response to vaccines. A highly automated next generation sequencing (NGS)-based method might facilitate an active genomic surveillance of the virus. METHODS: RNA was extracted from 27 nasopharyngeal swabs obtained from citizens of the Italian Campania region in March–April 2020 who tested positive for SARS-CoV-2. Following viral RNA quantification, sequencing was performed using the Ion AmpliSeq SARS-CoV-2 Research Panel on the Genexus Integrated Sequencer, an automated technology for library preparation and sequencing. The SARS-CoV-2 complete genomes were built using the pipeline SARS-CoV-2 RECoVERY (REconstruction of COronaVirus gEnomes & Rapid analYsis) and analysed by IQ-TREE software. RESULTS: The complete genome (100%) of SARS-CoV-2 was successfully obtained for 21/27 samples. In particular, the complete genome was fully sequenced for all 15 samples with high viral titer (> 200 copies/µl), for the two samples with a viral genome copy number < 200 but greater than 20, and for 4/10 samples with a viral load < 20 viral copies. The complete genome sequences classified into the B.1 and B.1.1 SARS-CoV-2 lineages. In comparison to the reference strain Wuhan-Hu-1, 48 total nucleotide variants were observed with 26 non-synonymous substitutions, 18 synonymous and 4 reported in untranslated regions (UTRs). Ten of the 26 non-synonymous variants were observed in ORF1ab, 7 in S, 1 in ORF3a, 2 in M and 6 in N genes. CONCLUSIONS: The Genexus system resulted successful for SARS-CoV-2 complete genome sequencing, also in cases with low viral copies. The use of this highly automated system might facilitate the standardization of SARS-CoV-2 sequencing protocols and make faster the identification of novel variants during the pandemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-02912-4. |
format | Online Article Text |
id | pubmed-8179693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81796932021-06-07 SARS-CoV-2 complete genome sequencing from the Italian Campania region using a highly automated next generation sequencing system Rachiglio, Anna Maria De Sabato, Luca Roma, Cristin Cennamo, Michele Fiorenza, Mariano Terracciano, Daniela Pasquale, Raffaella Bergantino, Francesca Cavalcanti, Ernesta Botti, Gerardo Vaccari, Gabriele Portella, Giuseppe Normanno, Nicola J Transl Med Research BACKGROUND: Since the first complete genome sequencing of SARS-CoV-2 in December 2019, more than 550,000 genomes have been submitted into the GISAID database. Sequencing of the SARS-CoV-2 genome might allow identification of variants with increased contagiousness, different clinical patterns and/or different response to vaccines. A highly automated next generation sequencing (NGS)-based method might facilitate an active genomic surveillance of the virus. METHODS: RNA was extracted from 27 nasopharyngeal swabs obtained from citizens of the Italian Campania region in March–April 2020 who tested positive for SARS-CoV-2. Following viral RNA quantification, sequencing was performed using the Ion AmpliSeq SARS-CoV-2 Research Panel on the Genexus Integrated Sequencer, an automated technology for library preparation and sequencing. The SARS-CoV-2 complete genomes were built using the pipeline SARS-CoV-2 RECoVERY (REconstruction of COronaVirus gEnomes & Rapid analYsis) and analysed by IQ-TREE software. RESULTS: The complete genome (100%) of SARS-CoV-2 was successfully obtained for 21/27 samples. In particular, the complete genome was fully sequenced for all 15 samples with high viral titer (> 200 copies/µl), for the two samples with a viral genome copy number < 200 but greater than 20, and for 4/10 samples with a viral load < 20 viral copies. The complete genome sequences classified into the B.1 and B.1.1 SARS-CoV-2 lineages. In comparison to the reference strain Wuhan-Hu-1, 48 total nucleotide variants were observed with 26 non-synonymous substitutions, 18 synonymous and 4 reported in untranslated regions (UTRs). Ten of the 26 non-synonymous variants were observed in ORF1ab, 7 in S, 1 in ORF3a, 2 in M and 6 in N genes. CONCLUSIONS: The Genexus system resulted successful for SARS-CoV-2 complete genome sequencing, also in cases with low viral copies. The use of this highly automated system might facilitate the standardization of SARS-CoV-2 sequencing protocols and make faster the identification of novel variants during the pandemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-02912-4. BioMed Central 2021-06-05 /pmc/articles/PMC8179693/ /pubmed/34090468 http://dx.doi.org/10.1186/s12967-021-02912-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Rachiglio, Anna Maria De Sabato, Luca Roma, Cristin Cennamo, Michele Fiorenza, Mariano Terracciano, Daniela Pasquale, Raffaella Bergantino, Francesca Cavalcanti, Ernesta Botti, Gerardo Vaccari, Gabriele Portella, Giuseppe Normanno, Nicola SARS-CoV-2 complete genome sequencing from the Italian Campania region using a highly automated next generation sequencing system |
title | SARS-CoV-2 complete genome sequencing from the Italian Campania region using a highly automated next generation sequencing system |
title_full | SARS-CoV-2 complete genome sequencing from the Italian Campania region using a highly automated next generation sequencing system |
title_fullStr | SARS-CoV-2 complete genome sequencing from the Italian Campania region using a highly automated next generation sequencing system |
title_full_unstemmed | SARS-CoV-2 complete genome sequencing from the Italian Campania region using a highly automated next generation sequencing system |
title_short | SARS-CoV-2 complete genome sequencing from the Italian Campania region using a highly automated next generation sequencing system |
title_sort | sars-cov-2 complete genome sequencing from the italian campania region using a highly automated next generation sequencing system |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8179693/ https://www.ncbi.nlm.nih.gov/pubmed/34090468 http://dx.doi.org/10.1186/s12967-021-02912-4 |
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