NYC metropolitan wastewater reveals links between SARS-CoV-2 amino acid mutations and disease outcomes
Copyright © 2023 Elsevier B.V. All rights reserved..
Since late 2020, diverse SARS-CoV-2 variants with enhanced infectivity and transmissibility have emerged. In contrast to the focus on amino acid mutations in the spike protein, mutations in non-spike proteins and their associated impacts remain relatively understudied. New York City metropolitan wastewater revealed over 60 % of the most frequently occurring amino acid mutations in regions outside the spike protein. Strikingly, ~50 % of the mutations detected herein remain uncharacterized for functional impacts. Our results suggest that there are several understudied mutations within non-spike proteins N, ORF1a, ORF1b, ORF9b, and ORF9c, that could increase transmissibility, and infectivity among human populations. We also demonstrate significant correlations of P314L, D614G, T95I, G50E, G50R, G204R, R203K, G662S, P10S, and P13L with documented mortality rates, hospitalization rates, and percent positivity suggesting that amino acid mutations are likely to be indicators of COVID-19 infection outcomes.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 2023 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:908 |
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Enthalten in: |
The Science of the total environment - 908(2023) vom: 15. Jan., Seite 167971 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Anand, Archana [VerfasserIn] |
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Links: |
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Themen: |
Amino Acids |
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Anmerkungen: |
Date Completed 27.11.2023 Date Revised 27.11.2023 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1016/j.scitotenv.2023.167971 |
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funding: |
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NLM364060263 |
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520 | |a Since late 2020, diverse SARS-CoV-2 variants with enhanced infectivity and transmissibility have emerged. In contrast to the focus on amino acid mutations in the spike protein, mutations in non-spike proteins and their associated impacts remain relatively understudied. New York City metropolitan wastewater revealed over 60 % of the most frequently occurring amino acid mutations in regions outside the spike protein. Strikingly, ~50 % of the mutations detected herein remain uncharacterized for functional impacts. Our results suggest that there are several understudied mutations within non-spike proteins N, ORF1a, ORF1b, ORF9b, and ORF9c, that could increase transmissibility, and infectivity among human populations. We also demonstrate significant correlations of P314L, D614G, T95I, G50E, G50R, G204R, R203K, G662S, P10S, and P13L with documented mortality rates, hospitalization rates, and percent positivity suggesting that amino acid mutations are likely to be indicators of COVID-19 infection outcomes | ||
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