ABSTRACT
Importance: The origin of highly divergent "cryptic" SARS-CoV-2 Spike sequences, which appear in wastewater but not clinical samples, is unknown. These wastewater sequences have harbored many of the same variants that later emerged in Omicron. If these enigmatic sequences are human-derived and transmissible, they could both be a source of future variants and a valuable tool for forecasting sequences that should be incorporated into vaccines and therapeutics. Objective: To determine whether enigmatic SARS-CoV-2 lineages detected in wastewater have a human or non-human (i.e., animal) source. Design: On January 11, 2022, an unusual Spike sequence was detected in municipal wastewater from a metropolitan area. Over the next four months, more focused wastewater sampling resolved the source of this variant. Setting: This study was performed in Wisconsin, United States, which has a comprehensive program for detecting SARS-CoV-2 in wastewater. Participants: Composite wastewater samples were used for this study; therefore, no individuals participated. Main Outcome(s) and Measure(s): The primary outcome was to determine the host(s) responsible for shedding this variant in wastewater. Both human and non-human hosts were plausible candidates at the study's outset. Results: The presence of the cryptic virus was narrowed from a municipal wastewater sample (catchment area >100,000 people) to an indoor wastewater sample from a single facility (catchment area ~30 people), indicating the human origin of this virus. Extraordinarily high concentrations of viral RNA (~520,000,000 genome copies / L and ~1,600,000,000 genome copies / L in June and August 2022, respectively) were detected in the indoor wastewater sample. The virus sequence harbored a combination of fixed nucleotide substitutions previously observed only in Pango lineage B.1.234, a variant that circulated at low levels in Wisconsin from October 2020 to February 2021. Conclusions and Relevance: High levels of persistent SARS-CoV-2 shedding from the gastrointestinal tract of an infected individual likely explain the presence of evolutionarily advanced, "cryptic variants" observed in some wastewater samples.
ABSTRACT
The primary objective of this study was to identify a universal wastewater biomarker for population normalization for SARS-CoV-2 wastewater-based epidemiology (WBE). A total of 2,624 wastewater samples (41 weeks) were collected weekly during May 2021- April 2022 from 64 wastewater facilities across Missouri, U.S. Three wastewater biomarkers, caffeine and its metabolite, paraxanthine, and pepper mild mottle virus (PMMoV), were compared for the population normalization effectiveness for wastewater SARS-CoV-2 surveillance. Paraxanthine had the lowest temporal variation and strongest relationship between population compared to caffeine and PMMoV. This result was confirmed by data from ten different Wisconsin WWTPs with gradients in population sizes, indicating paraxanthine is a promising biomarker of the real-time population across a large geographical region. The estimated real-time population was directly compared against the population patterns with human movement mobility data. Of the three biomarkers, population normalization by paraxanthine significantly strengthened the relationship between wastewater SARS-CoV-2 viral load and COVID-19 incidence rate the most (40 out of 61 sewersheds). Caffeine could be a promising population biomarker for regions where no significant exogenous caffeine sources (e.g., discharges from food industries) exist. In contrast, PMMoV showed the highest variability over time, and therefore reduced the strength of the relationship between sewage SARS-CoV-2 viral load and the COVID-19 incidence rate, as compared to wastewater data without population normalization and the population normalized by either recent Census population or the population estimated based on the number of residential connections and average household size for that municipality from the Census. Overall, the findings of this long-term surveillance study concluded that the paraxanthine has the best performance as a biomarker for population normalization for SARS-CoV-2 wastewater-based epidemiology.