Open Access
Wastewater Tiling Amplicon Sequencing in Sentinel Sites Reveals Longitudinal Dynamics of SARS-CoV-2 Variants Prevalence
Yu Wang
1
,
Gaofeng Ni
2
,
Wei Tian
3
,
Haofei Wang
3
,
Jia-Ying Li
4
,
Phong K. Thai
4
,
Phil M. Choi
5
,
Greg Jackson
5
,
Shihu Hu
1
,
Bicheng Yang
3
,
Jianhua Guo
1
3
MGI Australia Pty Ltd, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia.
|
5
Water Unit, Health Protection Branch, Queensland Public Health and Scientific Services, Queensland Health, Brisbane, Queensland, Australia.
|
Publication type: Journal Article
Publication date: 2024-05-01
scimago Q1
wos Q1
SJR: 2.231
CiteScore: 11.8
Impact factor: 8.2
ISSN: 25899147
PubMed ID:
38711798
Abstract
The ongoing evolution of SARS-CoV-2 is a significant concern, especially with the decrease in clinical sequencing efforts, which impedes the ability of public health sectors to prepare for the emergence of new variants and potential COVID-19 outbreaks. Wastewater-based epidemiology (WBE) has been proposed as a surveillance program to detect and monitor the SARS-CoV-2 variants being transmitted in communities. However, research is limited in evaluating the effectiveness of wastewater collection at sentinel sites for monitoring disease prevalence and variant dynamics, especially in terms of inferring the epidemic patterns on a broader scale, such as at the state/province level. This study utilized a multiplexed tiling amplicon-based sequencing (ATOPlex) to track the longitudinal dynamics of variant of concern (VOC) in wastewater collected from municipalities in Queensland, Australia, spanning from 2020 to 2022. We demonstrated that wastewater epidemiology measured by ATOPlex exhibited a strong and consistent correlation with the number of daily confirmed cases. The VOC dynamics observed in wastewater closely aligned with the dynamic profile reported by clinical sequencing. Wastewater sequencing has the potential to provide early warning information for emerging variants. These findings suggest that WBE at sentinel sites, coupled with sensitive sequencing methods, provides a reliable and long-term disease surveillance strategy.
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Total citations:
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Citations from 2024:
4
(100%)
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Yu W. et al. Wastewater Tiling Amplicon Sequencing in Sentinel Sites Reveals Longitudinal Dynamics of SARS-CoV-2 Variants Prevalence // Water Research X. 2024. Vol. 23. p. 100224.
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Wang Yu., Ni G., Tian W., Wang H., Li J., Thai P. K., Choi P. M., Jackson G., Hu S., Yang B., Guo J. Wastewater Tiling Amplicon Sequencing in Sentinel Sites Reveals Longitudinal Dynamics of SARS-CoV-2 Variants Prevalence // Water Research X. 2024. Vol. 23. p. 100224.
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TY - JOUR
DO - 10.1016/j.wroa.2024.100224
UR - https://linkinghub.elsevier.com/retrieve/pii/S2589914724000148
TI - Wastewater Tiling Amplicon Sequencing in Sentinel Sites Reveals Longitudinal Dynamics of SARS-CoV-2 Variants Prevalence
T2 - Water Research X
AU - Wang, Yu
AU - Ni, Gaofeng
AU - Tian, Wei
AU - Wang, Haofei
AU - Li, Jia-Ying
AU - Thai, Phong K.
AU - Choi, Phil M.
AU - Jackson, Greg
AU - Hu, Shihu
AU - Yang, Bicheng
AU - Guo, Jianhua
PY - 2024
DA - 2024/05/01
PB - Elsevier
SP - 100224
VL - 23
PMID - 38711798
SN - 2589-9147
ER -
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BibTex (up to 50 authors)
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@article{2024_Yu,
author = {Yu Wang and Gaofeng Ni and Wei Tian and Haofei Wang and Jia-Ying Li and Phong K. Thai and Phil M. Choi and Greg Jackson and Shihu Hu and Bicheng Yang and Jianhua Guo},
title = {Wastewater Tiling Amplicon Sequencing in Sentinel Sites Reveals Longitudinal Dynamics of SARS-CoV-2 Variants Prevalence},
journal = {Water Research X},
year = {2024},
volume = {23},
publisher = {Elsevier},
month = {may},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2589914724000148},
pages = {100224},
doi = {10.1016/j.wroa.2024.100224}
}
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