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1.
Chemosphere ; 351: 141162, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38218235

ABSTRACT

The early detection of upcoming disease outbreaks is essential to avoid both health and economic damage. The last four years of COVID-19 pandemic have proven wastewater-based epidemiology is a reliable system for monitoring the spread of SARS-CoV-2, a causative agent of COVID-19, in an urban population. As this monitoring enables the identification of the prevalence of spreading variants of SARS-CoV-2, it could provide a critical tool in the fight against this viral disease. In this study, we evaluated the presence of variants and subvariants of SARS-CoV-2 in Prague wastewater using nanopore-based sequencing. During August 2021, the data clearly showed that the number of identified SARS-CoV-2 RNA copies increased in the wastewater earlier than in clinical samples indicating the upcoming wave of the Delta variant. New SARS-CoV-2 variants consistently prevailed in wastewater samples around a month after they already prevailed in clinical samples. We also analyzed wastewater samples from smaller sub-sewersheds of Prague and detected significant differences in SARS-CoV-2 lineage progression dynamics among individual localities studied, e.g., suggesting faster prevalence of new variants among the sites with highest population density and mobility.


Subject(s)
COVID-19 , Nanopores , Humans , SARS-CoV-2/genetics , COVID-19/epidemiology , Wastewater , Pandemics , Prevalence , RNA, Viral
2.
Sci Total Environ ; 902: 166110, 2023 Dec 01.
Article in English | MEDLINE | ID: mdl-37567313

ABSTRACT

Monkeypox virus (Mpxv) is a dsDNA virus that has become a global concern for human health in 2022. As both infected people and non-human hosts can shed the virus from their skin, faeces, urine and other body fluids, and the resulting sewage contains viral load representative of the whole population, it is highly promising to detect the spread of monkeypox virus in municipal wastewater. We established a methodology for sewage-based monitoring of Mpxv in Prague and analysed samples (n = 24) already early August-October of 2022 in a municipality with 1.4 million inhabitants that only reported 29 cumulative cases in this period. We isolated Mpxv DNA with the Wizard Enviro Total Nucleic Acid Kit, and thereafter detected Mpxv DNA using the EliGene® Monkeypox RT-PCR Kit. Prague wastewater was positive for Mpxv (in total 9 positive samples in periods with 1-9 new cases per week, coinciding with a weekly incidence of 0.07-0.64 per 100,000 inhabitants. The method for confirmation of wastewater positivity via semi-nested PCR and Sanger sequencing was successfully confirmed on positive controls including Mpxv particles and Mpxv-positive wastewater from the Netherlands. However, for Prague wastewater samples, amplification of Mpxv DNA via semi-semi-nested PCR was unsuccessful. This was probably due to extremely low case count, leading to the amplification of non-target bacterial DNA. Compared to other studies with much higher Mpxv prevalence, we show the outstanding sensitivity of our approach for monitoring the spread of monkeypox using wastewater.


Subject(s)
Humans , Wastewater , DNA, Viral/genetics , Sewage , Monkeypox virus/genetics
3.
Genes (Basel) ; 14(1)2023 01 14.
Article in English | MEDLINE | ID: mdl-36672964

ABSTRACT

Parvalbumins (PVALBs) are low molecular weight calcium-binding proteins. In addition to their role in many biological processes, PVALBs play an important role in regulating Ca2+ switching in muscles with fast-twitch fibres in addition to their role in many biological processes. The PVALB gene family is divided into two gene types, alpha (α) and beta (ß), with the ß gene further divided into two gene types, beta1 (ß1) and beta2 (ß2), carrying traces of whole genome duplication. A large variety of commonly consumed fish species contain PVALB proteins which are known to cause fish allergies. More than 95% of all fish-induced food allergies are caused by PVALB proteins. The authentication of fish species has become increasingly important as the seafood industry continues to grow and the growth brings with it many cases of food fraud. Since the PVALB gene plays an important role in the initiation of allergic reactions, it has been used for decades to develop alternate assays for fish identification. A brief review of the significance of the fish PVALB genes is presented in this article, which covers evolutionary diversity, allergic properties, and potential use as a forensic marker.


Subject(s)
Allergens , Food Hypersensitivity , Animals , Allergens/genetics , Parvalbumins/genetics , Parvalbumins/metabolism , Fishes/genetics , Fishes/metabolism , Food Hypersensitivity/genetics , Calcium-Binding Proteins
4.
Foods ; 12(1)2023 Jan 03.
Article in English | MEDLINE | ID: mdl-36613444

ABSTRACT

Food adulteration is one of the most serious problems regarding food safety and quality worldwide. Besides misleading consumers, it poses a considerable health risk associated with the potential non-labeled allergen content. Fish and fish products are one of the most expensive and widely traded commodities, which predisposes them to being adulterated. Among all fraud types, replacing high-quality or rare fish with a less valuable species predominates. Because fish differ in their allergen content, specifically the main one, parvalbumin, their replacement can endanger consumers. This underlines the need for reliable, robust control systems for fish species identification. Various methods may be used for the aforementioned purpose. DNA-based methods are favored due to the characteristics of the target molecule, DNA, which is heat resistant, and the fact that through its sequencing, several other traits, including the recognition of genetic modifications, can be determined. Thus, they are considered to be powerful tools for identifying cases of food fraud. In this review, the major DNA-based methods applicable for fish meat and product authentication and their commercial applications are discussed, the possibilities of detecting genetic modifications in fish are evaluated, and future trends are highlighted, emphasizing the need for comprehensive and regularly updated online database resources.

5.
Water Res ; 216: 118343, 2022 Jun 01.
Article in English | MEDLINE | ID: mdl-35358873

ABSTRACT

Many reports have documented that the presence of SARS-CoV-2 RNA in the influents of municipal wastewater treatment plants (WWTP) correlates with the actual epidemic situation in a given city. However, few data have been reported thus far on measurements upstream of WWTPs, i.e. throughout the sewer network. In this study, the monitoring of the presence of SARS-CoV-2 RNA in Prague wastewater was carried out at selected locations of the Prague sewer network from August 2020 through May 2021. Various locations such as residential areas of various sizes, hospitals, city center areas, student dormitories, transportation hubs (airport, bus terminal), and commercial areas were monitored together with four of the main Prague sewers. The presence of SARS-CoV-2 RNA was determined by reverse transcription - multiplex quantitative polymerase chain reaction (RT-mqPCR) after the precipitation of nucleic acids with PEG 8,000 and RNA isolation with TRIzol™ Reagent. The number of copies of the gene encoding SARS-CoV-2 nucleocapsid (N1) per liter of wastewater was compared with the number of officially registered COVID-19 cases in Prague. Although the data obtained by sampling wastewater from the major Prague sewers were more consistent than those obtained from the small sewers, the correlation between wastewater-based and clinical-testing data was also good for the residential areas with more than 7,000 registered inhabitants. It was shown that monitoring SARS-CoV-2 RNA in wastewater sampled from small sewers could identify isolated occurrences of COVID-19-positive cases in local neighborhoods. This can be very valuable while tracking COVID-19 hotspots within large cities.


Subject(s)
COVID-19 , Water Purification , COVID-19/epidemiology , Humans , RNA, Viral , SARS-CoV-2 , Wastewater
6.
Sci Rep ; 11(1): 12799, 2021 06 17.
Article in English | MEDLINE | ID: mdl-34140548

ABSTRACT

Opium poppy (Papaver somniferum L.) is a versatile plant exploited by the pharmaceutical and food industries. Unfortunately, it is also infamously known as a source of highly addictive narcotics, primarily heroin. Drug abuse has devastating consequences for users and also has many direct or indirect negative impacts on human society as a whole. Therefore, developing a molecular genetic tool for the individualization of opium poppy, raw opium or heroin samples could help in the fight against the drug trade by retrieving more information about the source of narcotics and linking isolated criminal cases. Bioinformatic analysis provided insight into the distribution, density and other characteristics of roughly 150 thousand microsatellite loci within the poppy genome and indicated underrepresentation of microsatellites with the desired attributes. Despite this fact, 27 polymorphic STR markers, divided into three multiplexed assays, were developed in this work. Internal validation confirmed species-specific amplification, showed that the optimal amount of DNA is within the range of 0.625-1.25 ng per reaction, and indicate relatively well balanced assays according to the metrics used. Moreover, the stutter ratio (mean + 3 SD 2.28-15.59%) and allele-specific stutters were described. The analysis of 187 individual samples led to the identification of 158 alleles in total, with a mean of 5.85 alleles and a range of 3-14 alleles per locus. Most of the alleles (151) were sequenced by the Sanger method, which enabled us to propose standardized nomenclature and create three allelic ladders. The OpiumPlex system discriminates most of the varieties from each other and pharmaceutical varieties from the others (culinary, dual and ornamental).


Subject(s)
Microsatellite Repeats/genetics , Papaver/genetics , Alleles , Chromosomes, Plant/genetics , Computational Biology , Genetic Markers , Phylogeny , Principal Component Analysis
7.
Foods ; 9(9)2020 Sep 10.
Article in English | MEDLINE | ID: mdl-32927765

ABSTRACT

Two alternative, complementary analytical strategies were successfully used to identify the most common meat species-beef, pork and chicken-in meat products. The first innovative high-throughput approach was based on triacylglycerols fingerprinting by direct analysis in real time coupled with high-resolution mass spectrometry (DART-HRMS). The second was the classic commonly used DNA analysis based on the use of nuclear or mitochondrial DNA in multiplex polymerase chain reaction (mPCR). The DART-HRMS method represents a rapid, high throughput screening method and was shown to have a good potential for the authentication of meat products. Nevertheless, it should be noted that due to a limited number of samples in this pilot study, we present here a proof of concept. More samples must be analyzed by DART-HRMS to build a robust classification model applicable for reliable authentication. To verify the DART-HRMS results, all samples were analyzed by PCRs. Good compliance in samples classification was documented. In routine practice under these conditions, screening based on DART-HRMS could be used for identification of suspect samples, which could be then examined and validated by accurate PCRs. In this way, saving of both labor and cost could be achieved. In the final phase, commercially available meat products from the Czech market were tested using this new strategy. Canned meats-typical Czech sausages and luncheon meats, all with declared content of beef, pork and chicken meat-were used. Compliance with the label declaration was confirmed and no adulteration was found.

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