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2285. Using Genomic Sequencing to Describe SARS-CoV-2 Transmission Dynamics in U.S. Major League Soccer Clubs
BACKGROUND: In 2020–2022, U.S. Major League Soccer (MLS) used SARS-CoV-2 mitigation protocols that included masking, social distancing, avoiding contact with others outside of training and games, testing, quarantine, and isolation. In addition to isolation for those who tested positive, a SARS-CoV-2...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678908/ http://dx.doi.org/10.1093/ofid/ofad500.1907 |
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author | Velasquez-Reyes, Joseline Carmola, Ludy R Turcinovic, Jacquelyn Schneider, Isaac Putukian, Margot Sherry, Kyle Akula, Natalie Rischmann, Owen Silvers-Granelli, Holly Connor, Bradley A Angelo, Kristina Kozarsky, Phyllis E Libman, Michael Huits, Ralph Hamer, Davidson H Bourque, Daniel Fairley, Jessica K Piantadosi, Anne Connor, John |
author_facet | Velasquez-Reyes, Joseline Carmola, Ludy R Turcinovic, Jacquelyn Schneider, Isaac Putukian, Margot Sherry, Kyle Akula, Natalie Rischmann, Owen Silvers-Granelli, Holly Connor, Bradley A Angelo, Kristina Kozarsky, Phyllis E Libman, Michael Huits, Ralph Hamer, Davidson H Bourque, Daniel Fairley, Jessica K Piantadosi, Anne Connor, John |
author_sort | Velasquez-Reyes, Joseline |
collection | PubMed |
description | BACKGROUND: In 2020–2022, U.S. Major League Soccer (MLS) used SARS-CoV-2 mitigation protocols that included masking, social distancing, avoiding contact with others outside of training and games, testing, quarantine, and isolation. In addition to isolation for those who tested positive, a SARS-CoV-2 genomic sequencing strategy was developed to identify whether infections were associated with intra-league transmission. METHODS: Nasopharyngeal swabs were collected by MLS club medical staff from players and staff from February 2021 through September 2022. During this time, surveillance testing changed from daily to weekly to testing only symptomatic players and staff. SARS-CoV-2 positive samples were analyzed using amplicon-based whole genome sequencing. A phylogenetic tree was constructed using Nextstrain to visualize genomes from infected players and staff in the context of genomes available on GISAID circulating in the United States during corresponding time periods. To identify transmission links, all genomes were compared in a pairwise fashion. Genomes that were 0–2 nucleotides different were considered part of direct transmission clusters. RESULTS: Of 250 samples that were rtPCR positive for SARS-CoV-2, 215 (86%) were sequenced. Phylogenetic analysis showed a broad diversity of lineages, including some predominant overseas (e.g., AY.98.1). Pairwise comparison revealed SARS-CoV-2 sequences from 7 individuals appeared to be linked. These individuals were on 2 different MLS teams; there was an off-field exposure (dinner). Five (71%) had identical SARS-CoV-2 sequences; 2 had sequences that were 1 nucleotide different at the consensus level. Subconsensus genome analysis revealed that differences of 1 nucleotide were due to subconsensus mutations fluctuating below and above 50%, suggesting all 7 individuals were part of a transmission cluster. Phylogenetic analysis revealed that the sequences from the cluster were distinct from reference sequences and were likely a unique transmission chain. CONCLUSION: SARS-CoV-2 transmission may occur within, and even between, professional sports teams. Pairwise comparison of individual genomes can provide improved granularity to identify clusters and understand SARS-CoV-2 transmission. DISCLOSURES: Davidson H. Hamer, MD, Kephera Diagnostics: Grant/Research Support|Takeda: Advisor/Consultant|Takeda: Grant/Research Support|Trinity Biotech, LLC: Advisor/Consultant|Valneva: Advisor/Consultant|Valneva: Grant/Research Support Daniel Bourque, MD, Kephera Diagnostics: Grant/Research Support |
format | Online Article Text |
id | pubmed-10678908 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106789082023-11-27 2285. Using Genomic Sequencing to Describe SARS-CoV-2 Transmission Dynamics in U.S. Major League Soccer Clubs Velasquez-Reyes, Joseline Carmola, Ludy R Turcinovic, Jacquelyn Schneider, Isaac Putukian, Margot Sherry, Kyle Akula, Natalie Rischmann, Owen Silvers-Granelli, Holly Connor, Bradley A Angelo, Kristina Kozarsky, Phyllis E Libman, Michael Huits, Ralph Hamer, Davidson H Bourque, Daniel Fairley, Jessica K Piantadosi, Anne Connor, John Open Forum Infect Dis Abstract BACKGROUND: In 2020–2022, U.S. Major League Soccer (MLS) used SARS-CoV-2 mitigation protocols that included masking, social distancing, avoiding contact with others outside of training and games, testing, quarantine, and isolation. In addition to isolation for those who tested positive, a SARS-CoV-2 genomic sequencing strategy was developed to identify whether infections were associated with intra-league transmission. METHODS: Nasopharyngeal swabs were collected by MLS club medical staff from players and staff from February 2021 through September 2022. During this time, surveillance testing changed from daily to weekly to testing only symptomatic players and staff. SARS-CoV-2 positive samples were analyzed using amplicon-based whole genome sequencing. A phylogenetic tree was constructed using Nextstrain to visualize genomes from infected players and staff in the context of genomes available on GISAID circulating in the United States during corresponding time periods. To identify transmission links, all genomes were compared in a pairwise fashion. Genomes that were 0–2 nucleotides different were considered part of direct transmission clusters. RESULTS: Of 250 samples that were rtPCR positive for SARS-CoV-2, 215 (86%) were sequenced. Phylogenetic analysis showed a broad diversity of lineages, including some predominant overseas (e.g., AY.98.1). Pairwise comparison revealed SARS-CoV-2 sequences from 7 individuals appeared to be linked. These individuals were on 2 different MLS teams; there was an off-field exposure (dinner). Five (71%) had identical SARS-CoV-2 sequences; 2 had sequences that were 1 nucleotide different at the consensus level. Subconsensus genome analysis revealed that differences of 1 nucleotide were due to subconsensus mutations fluctuating below and above 50%, suggesting all 7 individuals were part of a transmission cluster. Phylogenetic analysis revealed that the sequences from the cluster were distinct from reference sequences and were likely a unique transmission chain. CONCLUSION: SARS-CoV-2 transmission may occur within, and even between, professional sports teams. Pairwise comparison of individual genomes can provide improved granularity to identify clusters and understand SARS-CoV-2 transmission. DISCLOSURES: Davidson H. Hamer, MD, Kephera Diagnostics: Grant/Research Support|Takeda: Advisor/Consultant|Takeda: Grant/Research Support|Trinity Biotech, LLC: Advisor/Consultant|Valneva: Advisor/Consultant|Valneva: Grant/Research Support Daniel Bourque, MD, Kephera Diagnostics: Grant/Research Support Oxford University Press 2023-11-27 /pmc/articles/PMC10678908/ http://dx.doi.org/10.1093/ofid/ofad500.1907 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Velasquez-Reyes, Joseline Carmola, Ludy R Turcinovic, Jacquelyn Schneider, Isaac Putukian, Margot Sherry, Kyle Akula, Natalie Rischmann, Owen Silvers-Granelli, Holly Connor, Bradley A Angelo, Kristina Kozarsky, Phyllis E Libman, Michael Huits, Ralph Hamer, Davidson H Bourque, Daniel Fairley, Jessica K Piantadosi, Anne Connor, John 2285. Using Genomic Sequencing to Describe SARS-CoV-2 Transmission Dynamics in U.S. Major League Soccer Clubs |
title | 2285. Using Genomic Sequencing to Describe SARS-CoV-2 Transmission Dynamics in U.S. Major League Soccer Clubs |
title_full | 2285. Using Genomic Sequencing to Describe SARS-CoV-2 Transmission Dynamics in U.S. Major League Soccer Clubs |
title_fullStr | 2285. Using Genomic Sequencing to Describe SARS-CoV-2 Transmission Dynamics in U.S. Major League Soccer Clubs |
title_full_unstemmed | 2285. Using Genomic Sequencing to Describe SARS-CoV-2 Transmission Dynamics in U.S. Major League Soccer Clubs |
title_short | 2285. Using Genomic Sequencing to Describe SARS-CoV-2 Transmission Dynamics in U.S. Major League Soccer Clubs |
title_sort | 2285. using genomic sequencing to describe sars-cov-2 transmission dynamics in u.s. major league soccer clubs |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678908/ http://dx.doi.org/10.1093/ofid/ofad500.1907 |
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