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. 2022 May 31;11(7):e00362-22. doi: 10.1128/mra.00362-22

Metagenomics of Wastewater Influent from Wastewater Treatment Facilities across Ontario in the Era of Emerging SARS-CoV-2 Variants of Concern

Opeyemi U Lawal a,#, Linkang Zhang a,#, Valeria R Parreira a,#, R Stephen Brown b, Charles Chettleburgh c, Nora Dannah d, Robert Delatolla e, Kimberly A Gilbride d,f, Tyson E Graber g, Golam Islam h, James Knockleby i, Sean Ma c, Hanlan McDougall c, R Michael McKay j, Aleksandra Mloszewska i, Claire Oswald f,k, Mark Servos l, Megan Swinwood-Sky c, Gustavo Ybazeta i, Marc Habash c, Lawrence Goodridge a,
Editor: Simon Rouxm
PMCID: PMC9302097  PMID: 35638829

ABSTRACT

We report metagenomic sequencing analyses of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in composite wastewater influent from 10 regions in Ontario, Canada, during the transition between Delta and Omicron variants of concern. The Delta and Omicron BA.1/BA.1.1 and BA.2-defining mutations occurring in various frequencies were reported in the consensus and subconsensus sequences of the composite samples.

ANNOUNCEMENT

The emergence and global spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (genus Betacoronavirus, family Coronaviridae) variants of concern (VOCs) pose a significant threat to global health (1, 2). SARS-CoV-2 is shed in human fecal matter and less so in urine by infected individuals, and its detection in wastewater triggered global interest in tracking the dissemination of its VOCs (3, 4). The province of Ontario and other jurisdictions have adopted genomic surveillance of wastewater for monitoring known and emerging SARS-CoV-2 VOCs in the community (512).

We collected 24-h composite samples of raw influent from 28 wastewater treatment plants in 10 regions across Ontario between November 2021 and February 2022 (n = 48) (Table 1) as part of the COVID-19 Regional Genomic Initiative (CORGI) in Ontario. Nanotrap magnetic virus particles (Ceres Nanosciences) were added to 50-mL wastewater samples to capture and concentrate the virus, followed by RNA extraction with the QIAamp viral RNA minikit (Qiagen) according to the manufacturer’s instructions. The CDC N1 and N2 regions were detected in the RNA samples with one-step reverse transcriptase quantitative PCR (RT-qPCR) performed on QuantStudio 5 (Thermo Fisher Scientific) (13) by using the 2019-nCoV CDC RUO kit (IDT, Coralville, USA) and TaqPath master mix (Thermo Fisher Scientific) as described (14). Wastewater samples with a cycle threshold of ≤35 were sequenced. For genomic sequencing, cDNA synthesis was performed using the SuperScript IV first-strand synthesis system (Thermo Fisher Scientific). SARS-CoV-2 amplicons were generated as previously described (15) but with ARTIC V4 primers (https://github.com/artic-network/artic-ncov2019/tree/master/primer_schemes/nCoV-2019). DNA libraries were generated using the Nextera XT DNA library prep kit (Illumina). Paired-end (2 × 150 bp) sequencing was performed using the MiniSeq system (Illumina). Raw sequence reads were analyzed using ViralRecon v2.4.1 (16). Variants were called with iVar v1.3.1 (17) using minimum quality and depth of 15 and 10, respectively. Consensus and subconsensus sequences were defined using mutation frequency thresholds of >50% and 10 to 50%, respectively. Variant lineages were inferred using Pangolin v3.1.20 (18). Default parameters were used for all tools unless otherwise specified.

TABLE 1.

Summary of sequencing data of the samples

Sample ID Date of collection (day-mo-yr)a Sampling point Wastewater sample location ID Region GPS coordinates No. of input reads % mapped reads % breadth of coverage Variant detected (consensus) Variant detected (subconsensus) SRA accession no.
109_2 29-Nov-21 Frontenac WWTP-1 Kingston/Ravensview WWTP Frontenac 44.241251, −76.420616 3,859,510 80.39 99.08 Delta sublineage AY.25 None SRR18762211
171 2-Dec-21 Durham WWTP-1 Midland/S3.2.12.21 Durham 44.75695003, −79.87483845 2,990,080 55.65 96.74 Delta sublineage AY.25.3 None SRR18680489
115 3-Dec-21 Windsor WWTP-1 Windsor Lou Romano WRP 172 Windsor 42.28384, −83.08527 2,728,910 58.49 98.18 Delta B.1.617.2 None SRR18680486
117 3-Dec-21 Windsor WWTP-2 Leamington PCC 148 Windsor 42.03443, −82.58850 2,794,614 43.32 98.17 Delta sublineage AY.103 None SRR18680474
170 5-Dec-21 Durham WWTP-2 Ajax/F07.5.12.21 Durham 43.83831355, −79.0418419 2,828,286 90.16 96.66 Delta sublineage AY.121 Traces of Omicron BA.1 SRR18680490
174 5-Dec-21 Durham WWTP-3 Orillia/S4.5.12.21 Durham 44.59004157, −79.4132297 2,917,708 96.19 96.47 Delta sublineage AY.25.3 None SRR18680488
116 6-Dec-21 Windsor WWTP-1 Windsor Lou Romano WRP 173 Windsor 42.28384, −83.08527 2,649,640 54.05 90.05 Delta sublineage AY.4 None SRR18680485
118 6-Dec-21 Windsor WWTP-2 Leamington PCC 149 Windsor 42.03443, −82.58850 3,013,594 44.39 97.40 Delta sublineage AY.103 None SRR18680463
150 8-Dec-21 Northern Ontario WWTP-1 Sudbury/TPKL221208 Northern Ontario 46.4655660272402, −81.0328557166295 2,145,830 30.57 98.75 Delta sublineage AY.74 None SRR18680452
155 9-Dec-21 Toronto WWTP-1-Site 1 S2A-177 Toronto 43.73584, −79.495832 2,767,236 52.66 96.52 Delta B.1.617.2 Traces of Omicron BA.1 SRR18680491
176 13-Dec-21 Windsor WWTP-2 Leamington PCC 152 Windsor 42.03443, −82.58850 2,837,338 96.14 97.52 Delta sublineage AY.103 None SRR18680487
284 15-Dec-21 Halton WWTP-1 Maplehurst Correctional Complex Halton 43.520000, −79.900000 3,446,194 99.64 99.14 Delta sublineage AY.25.1 None SRR18680462
210 17-Dec-21 Guelph WWTP-1 Guelph Wellington 43.520000, −80.270000 2,458,380 75.02 96.74 Delta sublineage AY.39 Omicron BA.1 SRR18680480
208 20-Dec-21 Guelph WWTP-1 Guelph Wellington 43.520000, −80.270000 3,406,436 67.05 98.86 Omicron BA.1 Delta B.1.617.2 SRR18680481
191 21-Dec-21 Frontenac WWTP-2 Loyalist/Amherstview WPCP Frontenac 44.233127, −76.660988 3,231,114 49.13 98.79 Omicron BA.1 Delta B.1.617.2 SRR18680484
200 21-Dec-21 Niagara WWTP-1 Crystal Beach Wastewater Treatment Plant (Fort Erie) Niagara 42.860000, −79.060000 3,075,436 35.10 99.69 Omicron BA.1.1 Delta B.1.617.2 SRR18680482
211 22-Dec-21 Guelph WWTP-1 Guelph Wellington 43.520000, −80.270000 3,053,446 80.99 98.71 Omicron BA.1.1 Delta B.1.617.2 SRR18680479
192 23-Dec-21 Frontenac WWTP-3 Eastern Ontario/Hawkesbury Frontenac 45.611676, −74.596091 4,867,030 96.39 98.12 Omicron BA.1.1 Delta B.1.617.2 SRR18680483
287 29-Dec-21 Halton WWTP-1 Maplehurst Correctional Complex Halton 43.520000, −79.900000 3,058,088 91.51 99.08 Delta sublineage AY.25.1 Traces of Omicron BA.1 SRR18680461
250 3-Jan-22 Frontenac WWTP-4 Kingston/Cataraqui Bay WWTP Frontenac 44.214819, −76.550722 3,616,518 82.89 98.34 Omicron BA.1.1 Delta B.1.617.2, Traces of Omicron BA.2 SRR18680467
304 3-Jan-22 Niagara WWTP-2 Queenston Wastewater Treatment Plant Niagara 43.160000, −79.050000 3,891,574 76.68 98.88 Omicron BA.1.1 Delta B.1.617.2 SRR18680460
222 4-Jan-22 Durham WWTP-4 Courtice WWTP/C04.4.1.22 Durham 43.87131928, −78.7559778 3,276,026 68.05 98.29 Omicron BA.1.1 Delta B.1.617.2 SRR18680478
227 5-Jan-22 Toronto WWTP-1-Site 2 S2B-167 Toronto 43.76187, −79.508388 3,884,772 98.55 97.02 Omicron BA.1.1 None SRR18680477
229 5-Jan-22 Toronto WWTP-1-Site 3 S1B-190 Toronto 43.730131, −79.549578 3,068,436 73.87 97.54 Omicron BA.1.1 None SRR18680476
251 5-Jan-22 Frontenac WWTP-5 Eastern Ontario/Hawkesbury WWTP Frontenac 45.611676, −74.596091 3,373,878 67.69 98.40 Omicron BA.1 Delta B.1.617.2 SRR18680466
230 6-Jan-22 Waterloo WWTP-1 Waterloo 845R-I-B 1/6 Waterloo 43.48509, −80.50412 2,655,472 97.84 99.68 Omicron BA.1.1 Delta B.1.617.2 SRR18680475
231 6-Jan-22 Waterloo WWTP-2 Galt 847R-I-B 1/6 Waterloo 43.340827, −80.313357 3,138,934 98.75 99.59 Omicron BA.1.1 Delta B.1.617.2 SRR18680473
232 6-Jan-22 Waterloo WWTP-3 Kitchener 846R-I-B 1/6 Waterloo 43.396587, −80.421080 3,486,778 88.36 99.71 Omicron BA.1.1 Delta B.1.617.2 SRR18680472
233 7-Jan-22 Waterloo WWTP-4 Peel 830F-I-B 1/7 Waterloo 43.7546220, −79.6264007 2,987,086 53.29 99.57 Omicron BA.1.1 Delta B.1.617.2 SRR18680471
235 7-Jan-22 Waterloo WWTP-5 York 831F-I-B 1/7 Waterloo 43.8456555, −79.3350315 2,720,060 76.96 98.40 Omicron BA.1.1 None SRR18680470
254 10-Jan-22 Northern Ontario WWTP-1 Sudbury/TPKL220110 Northern Ontario 46.4655660272402, −81.0328557166295 3,003,880 15.27 99.69 Omicron BA.1.1 Delta B.1.617.2 SRR18680465
307 10-Jan-22 Guelph WWTP-1 Guelph Wellington 43.520000, −80.270000 3,532,702 99.75 97.55 Omicron BA.1.1 Delta B.1.617.2 SRR18680459
245 11-Jan-22 Toronto WWTP-1-Site 1 S2A-187 Toronto 43.73584, −79.495832 2,095,676 98.73 99.77 Omicron BA.1.1 Delta B.1.617.2 SRR18680469
368 12-Jan-22 Niagara WWTP-3 Port Weller Sewer Treatment Plant Niagara 43.230000, −79.220000 3,412,742 94.39 100.00 Omicron BA.1.1 Delta B.1.617.2 SRR18680450
248 13-Jan-22 Toronto WWTP-1-Site 1 S2A-189 Toronto 43.73584, −79.495832 3,149,968 91.69 98.63 Omicron BA.1.1 Delta B.1.617.2 SRR18680468
365 13-Jan-22 Niagara WWTP-4 Baker Road Wastewater Treatment Plant (Grimsby) Niagara 43.190000, −79.540000 2,374,706 98.36 99.00 Omicron BA.1.1 Delta B.1.617.2 SRR18680451
330 14-Jan-22 Halton WWTP-1 Maplehurst Correctional Complex Halton 43.520000, −79.900000 3,637,030 97.02 99.69 Omicron BA.1.1 Delta B.1.617.2 SRR18680458
341 14-Jan-22 Guelph WWTP-1 Guelph Wellington 43.520000, −80.270000 3,529,346 74.85 97.64 Omicron BA.1.1 Delta B.1.617.2 SRR18680454
257 17-Jan-22 Northern Ontario WWTP-1 Sudbury/TPKL220117 Northern Ontario 46.4655660272402, −81.0328557166295 3,175,686 91.77 99.70 Omicron BA.1.1 Delta B.1.617.2 SRR18680464
373 17-Jan-22 Northern Ontario WWTP-2 Sault Ste. Marie/TPSSM220117 Northern Ontario 46.5057224005555, −84.25739500029 3,313,904 89.77 99.00 Omicron BA.1.1 Delta B.1.617.2, Omicron BA.2 SRR18680448
338 18-Jan-22 Niagara WWTP-5 Niagara Falls-Stamford Wastewater Treatment Plant Niagara 43.120000, −79.090000 2,917,972 96.83 99.71 Omicron BA.1.1 Delta B.1.617.2 SRR18680455
359 18-Jan-22 Durham WWTP-5 Corbett WWTP/OUT/A02.18.1.22 Durham 43.85542682, −78.89248301 2,366,054 85.02 99.00 Omicron BA.1.1 Delta B.1.617.2 SRR18680453
332 19-Jan-22 Halton WWTP-1 Maplehurst Correctional Complex Halton 43.520000, −79.900000 3,260,302 40.88 99.66 Omicron BA.1.1 Delta B.1.617.2 SRR18680457
333 21-Jan-22 Halton WWTP-1 Maplehurst Correctional Complex Halton 43.520000, −79.900000 3,834,210 99.53 99.21 Omicron BA.1.1 Delta B.1.617.2 SRR18680456
372 26-Jan-22 Northern Ontario WWTP-1 Sudbury/TPKL220126 Northern Ontario 46.4655660272402, −81.0328557166295 2,985,948 99.15 100.00 Omicron BA.1.1 Delta B.1.617.2 SRR18680449
421 5-Feb-22 Ottawa WWTP-1 Ottawa influent Ottawa 45.461111, −75.589167 2,634,062 93.99 96.00 Omicron BA.1.1 None SRR18680447
422 7-Feb-22 Ottawa WWTP-1 Ottawa influent Ottawa 45.461111, −75.589167 2,482,608 99.95 96.00 Omicron BA.1.1 None SRR18680446
423 9-Feb-22 Ottawa WWTP-1 Ottawa influent Ottawa 45.461111, −75.589167 2,668,098 50.47 95.00 Omicron BA.1.1 None SRR18680492
a

Data in the table are sorted by date of collection. WWTP, wastewater treatment plant.

We received 148,603,298 total reads across all 48 samples (mean, 3,095,902; range, 2,095,676 to 4,867,030). In most of the samples (85%; n = 41), ≥50% of reads mapped to the SARS-CoV-2 Wuhan strain. The average breadth of coverage of the consensus sequences generated was 98%. In consensus sequences, the Delta variants, including 8 sublineages, were detected in 14 samples from 7 regions in December 2021 (Table 1). Omicron BA.1/BA.1.1 was detected in 34 samples collected from all the regions studied except in Windsor, located in the extreme southwest of the province (Fig. 1). In subconsensus sequences, 26 samples contained the Delta VOC, 2 samples contained both Delta and Omicron BA.2 mutations, while traces (≤6 mutations) of Omicron BA.1-defining mutations were detected in 4 samples. Overall, multiple SARS-CoV-2 VOCs were detected in 32 samples (Table 1). Collectively, continuous genomic surveillance of wastewater provides sufficient specificity to infer individual VOC lineages in mixed samples and is effective for monitoring SARS-CoV-2 VOCs in the community.

FIG 1.

FIG 1

Heatmap showing estimated frequencies of Omicron (BA.1) mutations in composite samples of wastewater influent from 10 regions across Ontario. Each column represents a sample, and they are ordered by date of collection. Each row represents the genomic locus of a BA.1-defining mutation (https://github.com/cov-lineages/constellations/tree/main/constellations/definitions). Colors depict the percentage frequency of mutations in the samples; the deeper the color, the higher the mutation frequency. The heatmap was generated using VCFparser v1.0.0 (https://github.com/kbessonov1984/VCFParser).

Data availability.

The metagenomic sequences are available in the NCBI Sequence Read Archive under BioProject accession number PRJNA824537.

ACKNOWLEDGMENT

This project was funded by Ontario Genomics through the COVID-19 Regional Genomic Initiative (CORGI), Ontario.

Contributor Information

Lawrence Goodridge, Email: goodridl@uoguelph.ca.

Simon Roux, DOE Joint Genome Institute.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The metagenomic sequences are available in the NCBI Sequence Read Archive under BioProject accession number PRJNA824537.


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