Phylogenomic analysis of COVID-19 summer and winter outbreaks in Hong Kong : An observational study

© 2021 The Author(s). Published by Elsevier Ltd..

BACKGROUND: Viral genomic surveillance is vital for understanding the transmission of COVID-19. In Hong Kong, breakthrough outbreaks have occurred in July (third wave) and November (fourth wave) 2020. We used whole viral genome analysis to study the characteristics of these waves.

METHODS: We analyzed 509 SARS-CoV-2 genomes collected from Hong Kong patients between 22nd January and 29th November, 2020. Phylogenetic and phylodynamic analyses were performed, and were interpreted with epidemiological information.

FINDINGS: During the third and fourth waves, diverse SARS-CoV-2 genomes were identified among imported infections. Conversely, local infections were dominated by a single lineage during each wave, with 96.6% (259/268) in the third wave and 100% (73/73) in the fourth wave belonging to B.1.1.63 and B.1.36.27 lineages, respectively. While B.1.1.63 lineage was imported 2 weeks before the beginning of the third wave, B.1.36.27 lineage has circulated in Hong Kong for 2 months prior to the fourth wave. During the fourth wave, 50.7% (37/73) of local infections in November was identical to the viral genome from an imported case in September. Within B.1.1.63 or B.1.36.27 lineage in our cohort, the most common non-synonymous mutations occurred at the helicase (nsp13) gene.

INTERPRETATION: Although stringent measures have prevented most imported cases from spreading in Hong Kong, a single lineage with low-level local transmission in October and early November was responsible for the fourth wave. A superspreading event or lower temperature in November may have facilitated the spread of the B.1.36.27 lineage.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

The Lancet regional health. Western Pacific - 10(2021) vom: 20. Mai, Seite 100130

Sprache:

Englisch

Beteiligte Personen:

Chan, Wan-Mui [VerfasserIn]
Ip, Jonathan Daniel [VerfasserIn]
Chu, Allen Wing-Ho [VerfasserIn]
Tse, Herman [VerfasserIn]
Tam, Anthony Raymond [VerfasserIn]
Li, Xin [VerfasserIn]
Kwan, Mike Yat-Wah [VerfasserIn]
Yau, Yat-Sun [VerfasserIn]
Leung, Wai-Shing [VerfasserIn]
Chik, Thomas Shiu-Hong [VerfasserIn]
To, Wing-Kin [VerfasserIn]
Ng, Anthony Chin-Ki [VerfasserIn]
Yip, Cyril Chik-Yan [VerfasserIn]
Poon, Rosana Wing-Shan [VerfasserIn]
Chan, Kwok-Hung [VerfasserIn]
Wong, Sally Cheuk-Ying [VerfasserIn]
Choi, Garnet Kwan-Yue [VerfasserIn]
Lung, David Christopher [VerfasserIn]
Cheng, Vincent Chi-Chung [VerfasserIn]
Hung, Ivan Fan-Ngai [VerfasserIn]
Yuen, Kwok-Yung [VerfasserIn]
To, Kelvin Kai-Wang [VerfasserIn]

Links:

Volltext

Themen:

COVID19
Journal Article
Next generation sequencing
Outbreak
Phylodynamic
Phylogenetic
SARS-CoV-2
Viral genome

Anmerkungen:

Date Revised 07.11.2023

published: Print-Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.lanwpc.2021.100130

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM323346383