| Literature DB >> 30110939 |
Cecilia Oluseyi Osunmakinde1, Ramganesh Selvarajan2, Timothy Sibanda3, Bhekie B Mamba4, Titus A M Msagati5.
Abstract
There has been an increase in the quest for metagenomics as an approach for the identification and study of the diversity of human viruses found in aquatic systems, both for their role as waterborne pathogens and as water quality indicators. In the last few years, environmental viral metagenomics has grown significantly and has enabled the identification, diversity and entire genome sequencing of viruses in environmental and clinical samples extensively. Prior to the arrival of metagenomics, traditional molecular procedures such as the polymerase chain reaction (PCR) and sequencing, were mostly used to identify and classify enteric viral species in different environmental milieu. After the advent of metagenomics, more detailed reports have emerged about the important waterborne viruses identified in wastewater treatment plant effluents and surface water. This paper provides a review of methods that have been used for the concentration, detection and identification of viral species from different environmental matrices. The review also takes into consideration where metagenomics has been explored in different African countries, as well as the limitations and challenges facing the approach. Procedures including sample processing, experimental design, sequencing technology, and bioinformatics analysis are discussed. The review concludes by summarising the current thinking and practices in the field and lays bare key issues that those venturing into this field need to consider and address.Entities:
Keywords: enteric viruses; metagenomics; viral diversity; virus identification
Mesh:
Substances:
Year: 2018 PMID: 30110939 PMCID: PMC6115975 DOI: 10.3390/v10080429
Source DB: PubMed Journal: Viruses ISSN: 1999-4915 Impact factor: 5.048
Figure 1Schematic diagram of the experimental workflow of different next generation sequencing (NGS) platforms. (KEGG—Kyoto Encyclopedia of Genes and Genomes; SEED—Database contains all publicly available genome sequences).
Human enteric viruses (HEV) that have been identified in various aquatic environments.
| Family | Genus | Collective Names | Adverse Effects | References |
|---|---|---|---|---|
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| Poliovirus, Echovirus, Coxsackievirus A, B | Meningitis, Paralysis, Myocarditis, respiratory infections, gastroenteritis | [ |
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| Human rotavirus | Gastroenteritis | [ |
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| Human Adenovirus | Conjunctivitis | [ |
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| Human calicivirus | Gastroenteritis, Fever | [ |
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| Human astrovirus | Gastroenteritis | [ |
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| Human coronavirus | Gastroenteritis | [ |
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| Human Torovirus | Gastroenteritis | [ |
Figure 2Chart showing the percentage of HEV study in different province of South African aquatic ecosystems between 1993–2015 [58,69,73,74,77].
Different concentration techniques used for the concentration, recovery and isolation of viruses in environmental samples.
| Virus | Technique | Advantages | Disadvantages | References |
|---|---|---|---|---|
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| Membrane adsorption technique | Simple, speed, sensitive | Low efficiency of virus adsorption | [ |
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| Aqueous polymer two phase separation | Simple and cost effective | Limited serotypes identified | [ |
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| Adsorption to precipitable salts, iron oxide, and polyelectrolytes | Requires large sample volume, simple, time effective | Specific to certain viruses and water samples | [ |
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| Soluble alginate filter | Simple, | Clogging of filters, | [ |
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| Continuous-flow ultracentrifugation | Opportunity for diversity | Expensive instrumentation, time consuming | [ |
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| Forced-flow electrophoresis and electro-osmosis | Small sample volumes, less processing time | Small sample volume | [ |
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| Hydro extraction | Good recoveries | Small sample volume | [ |
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| Gauze sampler | Large sample volume, cost effective | Low efficiency | [ |
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| Electropositive Filtration | Large sample volume, pre-conditioning step not required, Cost effective | Not effective for selected environmental samples including marine water and sediments, expensive | [ |
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| Electronegative Filtration | Varieties of adsorbent materials, available, High recoveries | Conditioning of large volumes of water is difficult, | [ |
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| Glass wool | Less expensive, | Not suitable for large sample volume | [ |
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| Ultrafiltration (Tangential flow, Dead-end flow, Vortex) | No pre-conditioning steps required | Expensive, retreatment of fibres important | [ |
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| Ultracentrifugation | Less time consuming, | Clarification step required, | [ |
Figure 3Schematic illustration of various molecular techniques applied for the identification of HEV from different environmental samples.
Review and summary of published primers for PCR Assays.
| HEV | Primers and Labelled TaqMan Probes | Target Region | References |
|---|---|---|---|
| Hepatitis A virus | HAV68 (F): 5′-TCA CCG CCG TTT GCC TAG-3′ | capsid gene VP1/P2B | [ |
| Enterovirus | EV1 (F): 5′-CCCTGAATGCGGCTAAT-3′ | 5′ Non-coding region | [ |
| Rotavirus | JVK (F): 5′-CAGTGGTTGATGCTCAAGATGGA-3′ | NSP3 gene | [ |
| Noroviruses | JV13I (F) 5′-TCA TCA TCA CCA TAG AAI GAG-3′ | Polymerase region | [ |
| Adenoviruses | JTVX(F) 5′-GGACGCCTCGGAGTACCTGAG-3′ | Hexon gene | [ |
| Astrovirus | HAst.(F): TCAACGTGTCCGTAAMATTGTCA | ORF 1b-VPg region ssRNA | [ |
| Sapovirus GI, II and IV | Sapo (F) A: ACCAGGCTCTCGCCACCTA | RdRp-VP1 region | [ |
| Salivirus | F: 5′-TCTGCTTGGTGCCAACCTC-3′ | VP1 region or 3CD region | [ |
| Klassevirus | KLA-F; 5′-TCTGCT TGGTGCCAACCTC-3′ | VP0/VP3 regions | [ |
| Human Parechovirus | F: 5′-CCA AAA TTC RTG GGG TTC-3′ | VP1 capsid gene or 3CD region | [ |
| Aichi virus | F: ACA CTC CCA CCT CCAGCC AGT A | 3CD junction region | [ |
Summary of the Pros and Cons of molecular methods for HEV identification.
| Technique | Principle | Advantage | Disadvantages | References |
|---|---|---|---|---|
| Cell culture | Cytopathic effects potential for viruses | Direct isolation of a variety of cultivable viruses to high titres | Highly skilled | [ |
| Electron microscope | Electron beam used to illuminate viruses. | Prior knowledge of organism not required | It requires technical skills and expertise | [ |
| Flow cytometry | Direct and rapid assays for the determination of cell numbers and morphology | High speed and velocity | Skill generation and refrigeration a pre-requisite, expensive | [ |
| Vortex flow filtration | Counting and quantifying virus-like particles | High recovery | Expensive method | [ |
| PCR Assay | Amplification assays based on specific primers and enzyme to generate more copies of DNA | Sequence dependent | Cannot detect new viral species | [ |
| ICC-PCR | Viral particle is amplified via host cell assays | Less vulnerable to PCR inhibition | Does not detect non-culturable viruses, | [ |
| Multiple PCR | Simultaneous amplification of sequences of several pathogenic microorganisms in a reaction mixture | Sequence dependent, | Cannot detect new viral species | [ |
| Nested/Semi Nested PCR | Distinct pair of primers amplifies enormous region of DNA | Increased sensitivity | Potential risk of contamination and carry-over | [ |
| RT-PCR | Amplification is achieved by converting DNA | Speed sensitivity | Sequence knowledge is a perquisite, expensive, | [ |
| qRT-PCR (quantitative real-time PCR) | Quantifies and measures amplification of DNA using dyes or fluorescent dyes or probes | Elimination of gel electrophoresis applicable for both culturable and unculturable microorganisms | ||
| Microarray technology | Detection is done by means of radio-labelled probes or fluorescent tags | Known viral sequences | Expensive | [ |
| NASBA | Isothermal amplification of RNA | Sensitive, rapid simple | Can be used only for organisms, which are already known | [ |
| Immunology-based method | Formation of antigen—antibody through recognition and binding | High sensitivity | QC assurance dependent | [ |
| Biosensor-based methods | analytical device that identifies analytes via an electrical signal | Detects non-polar molecules | Relies on specific antibodies or DNA | [ |
| NGS | Parallel sequencing of multiple small fragments of DNA to determine its sequence using high-throughput instrumentation | Fast and easy to approach for DNA sequencing | Expensive equipment | [ |
Figure 4(A) Overview of the research publications of viral metagenomic studies around the world, (B) Overview of the publication of viral metagenomic studies in Africa.
Summary of the various features of the different second-generation platforms indicating strength and weakness.
| Platform | Amplification Technique | Chemistry | Read Length | Output and Duration | Advantages | Disadvantages | References |
|---|---|---|---|---|---|---|---|
| Roche 454 | Emulsion PCR | Pyro-sequencing | 400–700 bp | 100–700 Mb | Long read length, | High error rate | [ |
| AB SOLiD | Emulsion PCR | Ligation | 35 bp | 80–360 Gb between 6–8 days | Low error rate | Short reads | [ |
| Ion Torrent (PGM) | Emulsion PCR | Proton detection | 100–400 | 100–64 Gb for 2–7 h | Less sequencing time, reduces costs | Short reads | [ |
| Illumina Solexa | Bridge PCR | Reversible terminators | 100–300 | 600 Gb | High throughput, Cost and time effective, minimal error rate | Short reads | [ |
| Pacific Bioscience (SMRT) | Single molecule real time (SMRT) | Fluorescently labelled nucleotides | 4000–5000 nts | 200 Mb–1 Gb generated under few hours | Data generation is monitored in real-time, Accurate | Expensive, | [ |
| Helicos TM Genetic Analysis System | non-amplified DNA templates | Fluorescently labelled nucleotides | 24–70 bp | 35 Gb for a few hours | Accurate | Expensive, low data output | [ |
| Oxford Nanopore (MinION) | Single molecule real time (SMRT) | Reversible terminators | 90 Mbp of data with 16,000 reads | 6 kb–60 kb | Accurate | Expensive, high error rate, low throughput | [ |
Recent studies and application of metagenomics in some African countries.
| Country | Microbe | NGS Platform | Environment | References |
|---|---|---|---|---|
| South Africa | Bacteria | Roche 454 | Hot spring | [ |
| South Africa | Bacteria | Illumina MiSeq | Surface water | [ |
| Namibia | Virus | Soil, deserts | [ | |
| Kenya | Mosquito | Illumina | Clinical sample | [ |
| South Africa | Virus | Illumina | Hot spring | [ |
| Uganda | Viruses (HEV) | Illumina | Surface water, WWTP | [ |
| South Africa | Viruses (HADV) | Illumina | Sewage | [ |
| South Africa | Viruses (Caudovirales, phages) | Illumina MiSeq | Soil | [ |