| Literature DB >> 35864362 |
Vaishali Dhakar1, A Swapna Geetanjali2.
Abstract
The plant pathogen pepper mild mottle virus (PMMoV) has recently been proposed as a water quality indicator, it is a RNA virus belonging to the genus Tobamovirus in the family Virgoviridae that causes harm to the pepper crops. After consuming processed food products containing infected peppers, such as hot sauces, PMMoV is excreted in high concentrations in feces; therefore, this is the most common RNA virus, constantly found in the feces of humans. The fecal-oral pathway is emerging as an environmental problem. The presence of high concentrations of pathogens associated with human excreta in environmental waters or water reuse supplies poses a threat to public health. Due to the difficulty in determining the presence of pathogens effectively in water, attempts to monitor microbial water quality often use surrogates or indicator organisms that can be easily detected; therefore, PMMoV is used as a viral surrogate in aquatic environment. This paper describes the incidence and persistence of PMMoV in aquatic environments and in waste treatment plants and its usefulness for quantifying virus reductions by advanced water treatment technologies. In recent research, SARS-CoV-2 was reported to be found in wastewater and utilized for the purpose of monitoring coronavirus illness outbreaks. Since PMMoV is readily identified in the human feces and can also serve as an indicator of human waste, the determined PMMoV concentrations may be utilized to give the normalized report of the SARS-CoV-2 concentration, so that, the amount of human waste found in the wastewater can be taken into consideration.Entities:
Keywords: Fecal contamination; Pepper mild mottle virus (PMMoV); Water indicator
Mesh:
Substances:
Year: 2022 PMID: 35864362 PMCID: PMC9303839 DOI: 10.1007/s00203-022-03121-3
Source DB: PubMed Journal: Arch Microbiol ISSN: 0302-8933 Impact factor: 2.667
Fig. 1Route of entry of PMMoV by industries into water sources and different sources of PMMoV released into water. Infected bell peppers were sent to industries for sauce and spice making as they cannot be sold at markets. After consumption viral particles can pass through gut and end up in wastewater. PMMoV is now being used as a control in SARS-CoV-2-contaminated water. Water is contaminated by PMMoV through different ways. Effluents from the WWTs (wastewater treatment plants) are directly discharged into water bodies. In urban areas, heavy raining causes the mixing of sanitary wastewater and storm water, which result in overflow of sewer water directly into the water. In rural areas, Oss (Onsite sanitation system) is the source of PMMoV. If this water is used for irrigation purpose, it will cause enormous loss of crops. Illustration created using trial version of Biorender
Fig. 2This figure depicts the percentage of PMMoV in various water samples at different concentration. X-axis denotes different sources of water samples from different countries; Y-axis denotes percentage of PMMoV in water. Figure created using MS excel
Geographical distribution of PMMoV in different water sources
| Sample collection area | Source | Positive samples (%) | Concentration (genome copies/L) | Remarks, Presented argument | Detection method | References |
|---|---|---|---|---|---|---|
| Italy | 92 raw sewage | 79 | 2.2 × 106 | In various Italian water environments PMMoV reported its first occurrence | RT-qPCR | Ferraro et al. ( |
| 32 treated sewage | 75 | 2.9 × 105 | ||||
| 16 river samples | 75 | 6.1 × 102 | ||||
| 9 estuarine waters | 67 | 4.8 × 102 | ||||
| 20 bathing waters | 25 | 8.5 × 101 | ||||
| 67groundwater samples | 13 | 5.9 × 101 | ||||
| 18 drinking waters | Nil | 2.2 × 106 | ||||
| Yucatan Peninsula of Mexico | Karst aquifer system | 85 | 1.7 × 101 to 1.0 × 104 GC/L | The quantity and prevalence of PMMoV in the karst aquifer system may represent its environmental durability and potential as a faecal indicator | RT-qPCR | González Fernandez et al. ( |
| Japan | Surface water, | 95 | 3.1–6.2 log10 copies/L | PMMoV was found in its intact form in tap water derived from surface waters but shows its absence which derived from the ground water | Capsid integrity | Canh et al. ( |
| Tap water, | 5 | 0.62–1.18 log10 copies/L | RT-qPCR SD-CDDP-RTqPCR | |||
| USA | Wells ( | 5.4 | 920 (GC/ L) | Sporadic fecal contamination | qPCR | Stokdyk et al. ( |
| Arizona | Treated effluent ( | 100 | NA | This is the first study to look at how wetting/drying cycles affect viral elimination by SAT | RT-qPCR | Morrison et al. ( |
| Groundwater ( | 22 | |||||
| New Zealand | Shellfish growing waters | 14 (70%) No of positive (%) samples based on DNQ, 3 (15%) No. of positive (%) samples based on LLOQ | This is the first research in New Zealand to report the presence of PMMoV in black swan feces, as well as the first study to describe the presence of PMMoV in the aquatic environment and shellfish | RT-qPCR assay | Gyawali et al. ( | |
| Sample A | 6 (38%) | 3.9 ± 0.1 log10 GC/L) | ||||
| Sample B | 1 (6%) | NA | ||||
| Sample C | 9 (56%) | 3.9 ± 0.1 | ||||
| Sydney | Estuarine and freshwater | 74 | qPCR systems, PCR inhibitors, nucleic acid extraction efficiency, and low target levels might all have contributed to the reported differences | qpcr marker assays-based gene | Ahmed et al. ( | |
| CSIRO land and water (CLW) | 4.42 ± 0.65 log10 copies/L | |||||
| Sydney water (SW) laboratory | 3.89 ± 0.41 log10 copies/L | |||||
| Japan | Surface water K1 Katsura River | 100(52/52) | 5.0 log10 copies/L | Regardless of season or location, PMMoV was the most common virus, suggesting its use as an indication of viral contamination of water | RT-qPCR | Hata et al. ( |
| Kenya | Surface water BMFS (bag-mediated filtration system) n = 59 | 100 | 6.1 × 105 GC/L | Polluted sites, PMMoV might be utilized as a BMFS process control for enteric virus environmental surveillance | qRT-PCR | Van Zyl et al. ( |
| Nepal | Irrigation water sources | 8.7 log10 copies/L | This is the first research to suggest and investigate TMV's potential as an index virus. PMMoV and TMV were prevalent in all irrigation water sources and seasons | TaqMan (MGB)-based qPCR assays | Shrestha et al. ( | |
| River water—Sep 14 | 100(8/8) | |||||
| Apr 15 | 100(9/9) | |||||
| Aug 15 | 91(10/11) | |||||
| Ground water—Aug 15 | 83(5/6) | |||||
| Canal—Apr 15 | 100(1/1) | |||||
| Aug 15 | 100(1/1) | |||||
| Pond—Sep 14 | 50(1/2) | |||||
| Apr 15 | 0(0/1) | |||||
| Aug 15 | 100(2/2) | |||||
| Sydney | Estuarine waters | 43 | 3.89 ± 0.28 log10 GC/L | These findings indicate that estuarine water greatly affected by WWOs (wet weather overflows) | qPCR assays | Ahmed et al. ( |
| Wet weather overflows | 13.9 | 3.97 log10 GC/L | ||||
| Egypt | Influent samples | ~ 94 | 3.9 × 104 to 3.3 × 108genome copies/L (GC/L) | Their finding suggests that in wastewater treatment process, PMMoV can be used as fecal indicator | qRT-PCR | Hamza et al. ( |
| Effluent samples | 78 | 3.9 × 102 to 1.2 × 107 GC/L | ||||
| Japan | Drinking water treatments plants (DWTPs) | 76 | 2.03 × 103 copies/liter to 2.90 × 106 copies/liter | PMMoV was commonly found in samples that tested negative for human enteric virus or E. coli | qRT-PCR | Haramoto et al. ( |
| USA | Raw sewage | 77 | 8.04 × 105 to 1.9 × 106copies/mL | In marine environment, PMMoV is potential biomarker | qPCR | Rosario et al. ( |
| Treated sewage | 2.02 × 104 to 1.01 × 106copies/mL | |||||
| Vietnam | Ponds, water from irrigated farmlands and rivers WWTP influents | 94 | 5.5 × 106–7.2 × 106copies/L | For the first time, PMMoV was assessed as a fecal indicator and tracer in aquatic settings by comparing it to wastewater tracer PPCPs (pharmaceuticals and personal care products | qPCR | Kuroda et al. ( |
| WWTP effluents | 6.5 × 105–8.5 × 105 copies/L | |||||
| Japan | Combined sewer overflows | 94 | 1.4 × 104–6.8 × 106 GC/L | PMMoV found at high concentration in saline water | qRT-PCR | Inoue et al. ( |
NA not available; DNQ Detected but not quantifiable; LLOQ Lower limit of quantification
Comparative studies between PMMoV and fecal indicator bacteria properties
| PMMoV | Fecal indicator factor | References |
|---|---|---|
| It is the RNA biomarker able to offer an evaluation of viral risk in comparison to other enteric viruses | A bacterial marker may not be able to offer an evaluation of viral risk | Rosario et al. ( |
| PMMoV found at high concentration in saline water | As the salt concentration increases, the | Inoue et al. ( |
| SARS-CoV-2 RNA deterioration status was similar to PMMoV | Enteric viruses and fecal indicator bacteria shown large differences | Ai et al. ( |
| PMMoV is a suitable indicator for fecal contamination due to its capsid structure; it is more environmentally tolerant than | Otaki et al. ( | |
| Same samples that are tested positive for presence of PMMoV 68% | Same samples that are tested negative for presence of human enteric virus or | Haramoto et al. ( |
| It shows higher concentration in feces 109 virions per gram | It is present in less concentration | Zhang et al. ( |
Various processes/treatments used for the reduction of Pepper Mild Mottle Virus (PMMoV)
| Process or treatment | Country | Log10 reduction | Initial viral concentration | Viral concentration after treatment | References |
|---|---|---|---|---|---|
| CAP (Novel technology for inactivation of PMMoV in water) | Slovenia | ND | 3 min–4.90 × 105 | 1.26 × 105 | Filipić et al. ( |
| 5.29 × 105 | 5.92 × 104 | ||||
| 5.29 × 105 | 3.96 × 104 | ||||
| 5 min–4.90 × 105 | 1.08 × 105 | ||||
| 5.29 × 105 | 2.02 × 104 | ||||
| 5.29 × 105 | 1.36 × 104 | ||||
| Gas | Slovenia | ND | 5 min–5.05 × 105 | 5.07 × 105 | Filipić et al. ( |
| Bardenpho | US | > 2.7 ± 1.6 | ND | ND | Schmitz et al. ( |
| Soil aquifer treatment (SAT) | Tucson, Arizona | EW-008A–5.8 | ND | ND | Morrison et al. ( |
| WR-398A–5.8 | |||||
| WR-069B > 6.2 | |||||
| Thermal treatment | Japan | 60 °C–1.1-Log10 | ND | ND | Shirasaki et al. ( |
| Coagulation sedimentation, Ozonation | Japan | 2.38 ± 0.74 | ND | ND | Kato et al. ( |
| 1.91 ± 1.18 | |||||
| Coagulation sedimentation | Bangkok | Rainy season–0.40 ± 0.17 log10 | ND | ND | Asami et al. ( |
| Dry season–1.61 ± log10 | |||||
| Bench-scale coagulation sedimentation and rapid sand filtration processes | Japan | ND | ND | Kato et al. ( | |
| Before typhoon | 1.96 ± 0.30 log10 | ||||
| During typhoon | 0.26 ± 0.38 log10 | ||||
| Activated sludge | Germany | 1.7–3.7 | ND | ND | Hamza et al. ( |
| Sequential batch reactor (SBR) | Vietnam | 0.92 | ND | ND | Kuroda et al. ( |
ND not done; EW production well; WR monitoring well