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Tripathi P, Render R, Nidhi S, Tripathi V. Microbial genomics: a potential toolkit for forensic investigations. Forensic Sci Med Pathol 2025; 21:417-429. [PMID: 38878110 DOI: 10.1007/s12024-024-00830-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/08/2024] [Indexed: 03/29/2025]
Abstract
Microbial forensics is a new discipline of science that analyzes evidence related to biological crime through the uniqueness and abundance of microorganisms and their toxins. Microorganisms remain alive longer than any other trace of biological evidence, such as DNA, fingerprints, and fibers, because of the protective cell membrane or capsules. Microbiological research has opened up various possibilities for forensic investigations of microbial flora. Current molecular technologies, including DNA sequencing, whole-genome sequencing, metagenomics, DNA fingerprinting, and molecular phylogeny, provide valid results for forensic investigations. Recent advancements in genome sequencing technologies, genetic data generation, and bioinformatic tools have significantly improved microbial sampling methods and forensic analyses. In this review, we discuss the applications of microbial genomic tools and technologies in forensic investigations, including human identification, geolocation, and causes of death.
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Affiliation(s)
- Pooja Tripathi
- Department of Computational Biology and Bioinformatics, Jacob Institute of Biotechnology and Bioengineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, Uttar Pradesh, 211007, India
| | - Riya Render
- Department of Forensic Sciences, National Forensic Sciences University, Ponda, Goa, 430401, India
| | - Sweta Nidhi
- Department of Forensic Sciences, National Forensic Sciences University, Ponda, Goa, 430401, India
| | - Vijay Tripathi
- Department of Microbiology, Graphic Era Deemed to be University, Clement Town, Dehradun, 248002, India.
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2
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Goraichuk IV, Davis JF, Afonso CL, Suarez DL. Sequencing of historic samples provides complete coding sequences of chicken calicivirus from the United States. Microbiol Resour Announc 2024; 13:e0077724. [PMID: 39264163 PMCID: PMC11465789 DOI: 10.1128/mra.00777-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 08/05/2024] [Indexed: 09/13/2024] Open
Abstract
Here, we report the coding-complete genomic sequences of two chicken caliciviruses from US poultry flocks in 2003 and 2004. They show the same genomic organization as that of other members of the Bavovirus genus and have the highest nucleotide identity (~88%) with strains from clinically normal chickens from Germany in 2004 and Netherlands in 2019.
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Affiliation(s)
- Iryna V. Goraichuk
- Exotic and Emerging Avian Viral Disease Research Unit, Southeast Poultry Research Laboratory, U.S. National Poultry Research Center, ARS, USDA, Athens, Georgia, USA
| | - James F. Davis
- Georgia Poultry Laboratory Network, Gainesville, Georgia, USA
| | - Claudio L. Afonso
- Exotic and Emerging Avian Viral Disease Research Unit, Southeast Poultry Research Laboratory, U.S. National Poultry Research Center, ARS, USDA, Athens, Georgia, USA
| | - David L. Suarez
- Exotic and Emerging Avian Viral Disease Research Unit, Southeast Poultry Research Laboratory, U.S. National Poultry Research Center, ARS, USDA, Athens, Georgia, USA
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3
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Dias M, Gomes B, Pena P, Cervantes R, Beswick A, Duchaine C, Kolk A, Madsen AM, Oppliger A, Pogner C, Duquenne P, Wouters IM, Crook B, Viegas C. Filling the knowledge gap: Scoping review regarding sampling methods, assays, and further requirements to assess airborne viruses. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174016. [PMID: 38908595 DOI: 10.1016/j.scitotenv.2024.174016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 06/12/2024] [Accepted: 06/13/2024] [Indexed: 06/24/2024]
Abstract
Assessment of occupational exposure to viruses is crucial to identify virus reservoirs and sources of dissemination at an early stage and to help prevent spread between employees and to the general population. Measuring workers' exposure can facilitate assessment of the effectiveness of protective and mitigation measures in place. The aim of this scoping review is to give an overview of available methods and those already implemented for airborne virus' exposure assessment in different occupational and indoor environments. The results retrieved from the different studies may contribute to the setting of future standards and guidelines to ensure a reliable risk characterization in the occupational environments crucial for the implementation of effective control measures. The search aimed at selecting studies between January 1st 2010 and June 30th 2023 in the selected databases. Fifty papers on virus exposure assessment fitted the eligibility criteria and were selected for data extraction. Overall, this study identified gaps in knowledge regarding virus assessment and pinpointed the needs for further research. Several discrepancies were found (transport temperatures, elution steps, …), as well as a lack of publication of important data related to the exposure conditions (contextual information). With the available information, it is impossible to compare results between studies employing different methods, and even if the same methods are used, different conclusions/recommendations based on the expert judgment have been reported due to the lack of consensus in the contextual information retrieved and/or data interpretation. Future research on the field targeting sampling methods and in the laboratory regarding the assays to employ should be developed bearing in mind the different goals of the assessment.
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Affiliation(s)
- Marta Dias
- H&TRC - Health & Technology Research Center, ESTeSL - Escola Superior de Tecnologia e Saúde, Instituto Politécnico de Lisboa, Portugal; NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, REAL, CCAL, NOVA University Lisbon, Lisbon, Portugal
| | - Bianca Gomes
- H&TRC - Health & Technology Research Center, ESTeSL - Escola Superior de Tecnologia e Saúde, Instituto Politécnico de Lisboa, Portugal; CE3C-Center for Ecology, Evolution and Environmental Change, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisbon, Portugal
| | - Pedro Pena
- H&TRC - Health & Technology Research Center, ESTeSL - Escola Superior de Tecnologia e Saúde, Instituto Politécnico de Lisboa, Portugal; NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, REAL, CCAL, NOVA University Lisbon, Lisbon, Portugal
| | - Renata Cervantes
- H&TRC - Health & Technology Research Center, ESTeSL - Escola Superior de Tecnologia e Saúde, Instituto Politécnico de Lisboa, Portugal; NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, REAL, CCAL, NOVA University Lisbon, Lisbon, Portugal
| | - Alan Beswick
- Health and Safety Executive Science and Research Centre, Buxton SK17 9JN, UK
| | - Caroline Duchaine
- Département de biochimie, microbiologie et bio-informatique, Université Laval, Québec, Canada
| | - Annette Kolk
- Institute for Occupational Safety and Health of the German Social Accident Insurance, Alte Heerstraße 111, 53757 Sankt Augustin, Germany
| | - Anne Mette Madsen
- National Research Centre for the Working Environment, Lersø Parkallé 105, 2100 Copenhagen Ø, Denmark
| | | | | | | | - Inge M Wouters
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Brian Crook
- Health and Safety Executive Science and Research Centre, Buxton SK17 9JN, UK
| | - Carla Viegas
- H&TRC - Health & Technology Research Center, ESTeSL - Escola Superior de Tecnologia e Saúde, Instituto Politécnico de Lisboa, Portugal; NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, REAL, CCAL, NOVA University Lisbon, Lisbon, Portugal.
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4
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Bossers A, de Rooij MM, van Schothorst I, Velkers FC, Smit LA. Detection of airborne wild waterbird-derived DNA demonstrates potential for transmission of avian influenza virus via air inlets into poultry houses, the Netherlands, 2021 to 2022. Euro Surveill 2024; 29:2400350. [PMID: 39364599 PMCID: PMC11451133 DOI: 10.2807/1560-7917.es.2024.29.40.2400350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 08/26/2024] [Indexed: 10/05/2024] Open
Abstract
BackgroundOutbreaks of highly pathogenic avian influenza (HPAI) on poultry farms and in wild birds worldwide persists despite intensified control measures. It causes unprecedented mortality in bird populations and is increasingly affecting mammalian species. Better understanding of HPAI introduction pathways into farms are needed for targeted disease prevention and control. The relevance of airborne transmission has been suggested but research involving air sampling is limited and unequivocal evidence on transmission routes is lacking.AimWe aimed to investigate whether HPAI virus from wild birds can enter poultry houses through air inlets by characterising host materials through eukaryote DNA sequencing.MethodsWe collected particulate matter samples in and around three HPAI-affected poultry farms which were cleared and decontaminated before sampling. Indoor measurements (n = 61) were taken directly in the airflow entering through air inlets, while outdoor air samples (n = 60) were collected around the poultry house. Positive controls were obtained from a bird rehabilitation shelter. We performed metabarcoding on environmental DNA by deep sequencing 18S rRNA gene amplicons.ResultsWe detected waterbird DNA in air inside all three, and outside of two, poultry farms. Sequences annotated at species level included swans and tufted ducks. Waterbird DNA was present in all indoor and outdoor air samples from the bird shelter.ConclusionAirborne matter derived from contaminated wild birds can potentially introduce HPAI virus to poultry houses through air inlets. The eDNA metabarcoding could assess breaches in biosecurity for HPAI virus and other pathogens potentially transmitted through air via detection of their hosts.
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Affiliation(s)
- Alex Bossers
- Wageningen Bioveterinary Research, Wageningen University and Research, Lelystad, The Netherlands
- Population Health Sciences - Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Myrna Mt de Rooij
- Population Health Sciences - Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Isabella van Schothorst
- Population Health Sciences - Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Francisca C Velkers
- Population Health Sciences - Farm Animal Health, Utrecht University, Utrecht, The Netherlands
| | - Lidwien Am Smit
- Population Health Sciences - Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
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Arhab Y, Pestova TV, Hellen CUT. Translation of Overlapping Open Reading Frames Promoted by Type 2 IRESs in Avian Calicivirus Genomes. Viruses 2024; 16:1413. [PMID: 39339889 PMCID: PMC11436067 DOI: 10.3390/v16091413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Revised: 08/30/2024] [Accepted: 08/31/2024] [Indexed: 09/30/2024] Open
Abstract
Caliciviruses have positive-sense RNA genomes, typically with short 5'-untranslated regions (5'UTRs) that precede the long open reading frame 1 (ORF1). Exceptionally, some avian caliciviruses have long 5'UTRs containing a picornavirus-like internal ribosomal entry site (IRES), which was likely acquired by horizontal gene transfer. Here, we identified numerous additional avian calicivirus genomes with IRESs, predominantly type 2, and determined that many of these genomes contain a ~200-300 codon-long ORF (designated ORF1*) that overlaps the 5'-terminal region of ORF1. The activity of representative type 2 IRESs from grey teal calicivirus (GTCV) and Caliciviridae sp. isolate yc-13 (RaCV1) was confirmed by in vitro translation. Toeprinting showed that in cell-free extracts and in vitro reconstituted reactions, ribosomal initiation complexes assembled on the ORF1* initiation codon and at one or two AUG codons in ORF1 at the 3'-border and/or downstream of the IRES. Initiation at all three sites required eIF4A and eIF4G, which bound to a conserved region of the IRES; initiation on the ORF1* and principal ORF1 initiation codons involved eIF1/eIF1A-dependent scanning from the IRES's 3'-border. Initiation on these IRESs was enhanced by the IRES trans-acting factors (ITAFs) Ebp1/ITAF45, which bound to the apical subdomain Id of the IRES, and PTB (GTCV) or PCBP2 (RaCV1).
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Affiliation(s)
- Yani Arhab
- Department of Cell Biology, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Tatyana V Pestova
- Department of Cell Biology, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Christopher U T Hellen
- Department of Cell Biology, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
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Nwokorogu VC, Pillai S, San JE, Pillay C, Nyaga MM, Sabiu S. A metagenomic investigation of the faecal RNA virome structure of asymptomatic chickens obtained from a commercial farm in Durban, KwaZulu-Natal province, South Africa. BMC Genomics 2024; 25:629. [PMID: 38914944 PMCID: PMC11194887 DOI: 10.1186/s12864-024-10517-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Accepted: 06/12/2024] [Indexed: 06/26/2024] Open
Abstract
BACKGROUND Virome studies on birds, including chickens are relatively scarce, particularly from the African continent. Despite the continuous evolution of RNA viruses and severe losses recorded in poultry from seasonal viral outbreaks, the information on RNA virome composition is even scantier as a result of their highly unstable nature, genetic diversity, and difficulties associated with characterization. Also, information on factors that may modulate the occurrence of some viruses in birds is limited, particularly for domesticated birds. Viral metagenomics through advancements in sequencing technologies, has enabled the characterization of the entire virome of diverse host species using various samples. METHODS The complex RNA viral constituents present in 27 faecal samples of asymptomatic chickens from a South African farm collected at 3-time points from two independent seasons were determined, and the impact of the chicken's age and collection season on viral abundance and diversity was further investigated. The study utilized the non-invasive faecal sampling method, mRNA viral targeted enrichment steps, a whole transcriptome amplification strategy, Illumina sequencing, and bioinformatics tools. RESULTS The results obtained revealed a total of 48 viral species spanning across 11 orders, 15 families and 21 genera. Viral RNA families such as Coronaviridae, Picornaviridae, Reoviridae, Astroviridae, Caliciviridae, Picorbirnaviridae and Retroviridae were abundant, among which picornaviruses, demonstrated a 100% prevalence across the three age groups (2, 4 and 7 weeks) and two seasons (summer and winter) of the 27 faecal samples investigated. A further probe into the extent of variation between the different chicken groups investigated indicated that viral diversity and abundance were significantly influenced by age (P = 0.01099) and season (P = 0.00099) between chicken groups, while there was no effect on viral shedding within samples in a group (alpha diversity) for age (P = 0.146) and season (P = 0.242). CONCLUSION The presence of an exceedingly varied chicken RNA virome, encompassing avian, mammalian, fungal, and dietary-associated viruses, underscores the complexities inherent in comprehending the causation, dynamics, and interspecies transmission of RNA viruses within the investigated chicken population. Hence, chickens, even in the absence of discernible symptoms, can harbour viruses that may exhibit opportunistic, commensal, or pathogenic characteristics.
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Affiliation(s)
- Vivian C Nwokorogu
- Department of Biotechnology and Food Science, Durban University of Technology, P.O. Box 1334, Durban, 4000, South Africa
| | - Santhosh Pillai
- Department of Biotechnology and Food Science, Durban University of Technology, P.O. Box 1334, Durban, 4000, South Africa
| | - James E San
- Nelson Mandela School of Medicine, KwaZulu-Natal Research Innovation and Sequencing platform unit, University of KwaZulu- Natal, 719 Umbilo Road, Durban, 4001, South Africa
| | - Charlene Pillay
- Department of Biotechnology and Food Science, Durban University of Technology, P.O. Box 1334, Durban, 4000, South Africa
| | - Martin M Nyaga
- Next Generation Sequencing Unit, Division of Virology, Faculty of Health Sciences, University of the Free State, P.O. Box 339, Bloemfontein, 9300, South Africa
| | - Saheed Sabiu
- Department of Biotechnology and Food Science, Durban University of Technology, P.O. Box 1334, Durban, 4000, South Africa.
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Sievers BL, Siegers JY, Cadènes JM, Hyder S, Sparaciari FE, Claes F, Firth C, Horwood PF, Karlsson EA. "Smart markets": harnessing the potential of new technologies for endemic and emerging infectious disease surveillance in traditional food markets. J Virol 2024; 98:e0168323. [PMID: 38226809 PMCID: PMC10878043 DOI: 10.1128/jvi.01683-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2024] Open
Abstract
Emerging and endemic zoonotic diseases continue to threaten human and animal health, our social fabric, and the global economy. Zoonoses frequently emerge from congregate interfaces where multiple animal species and humans coexist, including farms and markets. Traditional food markets are widespread across the globe and create an interface where domestic and wild animals interact among themselves and with humans, increasing the risk of pathogen spillover. Despite decades of evidence linking markets to disease outbreaks across the world, there remains a striking lack of pathogen surveillance programs that can relay timely, cost-effective, and actionable information to decision-makers to protect human and animal health. However, the strategic incorporation of environmental surveillance systems in markets coupled with novel pathogen detection strategies can create an early warning system capable of alerting us to the risk of outbreaks before they happen. Here, we explore the concept of "smart" markets that utilize continuous surveillance systems to monitor the emergence of zoonotic pathogens with spillover potential.IMPORTANCEFast detection and rapid intervention are crucial to mitigate risks of pathogen emergence, spillover and spread-every second counts. However, comprehensive, active, longitudinal surveillance systems at high-risk interfaces that provide real-time data for action remain lacking. This paper proposes "smart market" systems harnessing cutting-edge tools and a range of sampling techniques, including wastewater and air collection, multiplex assays, and metagenomic sequencing. Coupled with robust response pathways, these systems could better enable Early Warning and bolster prevention efforts.
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Affiliation(s)
- Benjamin L. Sievers
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Jurre Y. Siegers
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
| | - Jimmy M. Cadènes
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
- Paris Institute of Technology for Life, Food and Environmental Sciences, AgroParisTech, Palaiseau, France
| | - Sudipta Hyder
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
- Division of Infectious Disease, Columbia University Irving Medical Center, New York, New York, USA
| | - Frida E. Sparaciari
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland, Australia
| | - Filip Claes
- Emergency Centre for Transboundary Animal Diseases, Food and Agriculture Organization of the United Nations, Asia Pacific Region, Bangkok, Thailand
- EcoHealth Alliance, New York, New York, USA
| | - Cadhla Firth
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland, Australia
- EcoHealth Alliance, New York, New York, USA
| | - Paul F. Horwood
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland, Australia
- CANARIES: Consortium of Animal Networks to Assess Risk of Emerging Infectious Diseases through Enhanced Surveillance
| | - Erik A. Karlsson
- Virology Unit, Institut Pasteur du Cambodge, Phnom Penh, Cambodia
- CANARIES: Consortium of Animal Networks to Assess Risk of Emerging Infectious Diseases through Enhanced Surveillance
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8
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Nam NN, Do HDK, Loan Trinh KT, Lee NY. Metagenomics: An Effective Approach for Exploring Microbial Diversity and Functions. Foods 2023; 12:2140. [PMID: 37297385 PMCID: PMC10252221 DOI: 10.3390/foods12112140] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 05/21/2023] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
Various fields have been identified in the "omics" era, such as genomics, proteomics, transcriptomics, metabolomics, phenomics, and metagenomics. Among these, metagenomics has enabled a significant increase in discoveries related to the microbial world. Newly discovered microbiomes in different ecologies provide meaningful information on the diversity and functions of microorganisms on the Earth. Therefore, the results of metagenomic studies have enabled new microbe-based applications in human health, agriculture, and the food industry, among others. This review summarizes the fundamental procedures on recent advances in bioinformatic tools. It also explores up-to-date applications of metagenomics in human health, food study, plant research, environmental sciences, and other fields. Finally, metagenomics is a powerful tool for studying the microbial world, and it still has numerous applications that are currently hidden and awaiting discovery. Therefore, this review also discusses the future perspectives of metagenomics.
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Affiliation(s)
- Nguyen Nhat Nam
- Biotechnology Center, School of Agriculture and Aquaculture, Tra Vinh University, Tra Vinh City 87000, Vietnam
| | - Hoang Dang Khoa Do
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ward 13, District 04, Ho Chi Minh City 72820, Vietnam
| | - Kieu The Loan Trinh
- Department of BioNano Technology, Gachon University 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Republic of Korea;
| | - Nae Yoon Lee
- Department of BioNano Technology, Gachon University 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Republic of Korea;
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Ibañez-Lligoña M, Colomer-Castell S, González-Sánchez A, Gregori J, Campos C, Garcia-Cehic D, Andrés C, Piñana M, Pumarola T, Rodríguez-Frias F, Antón A, Quer J. Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses. Viruses 2023; 15:v15020587. [PMID: 36851800 PMCID: PMC9965957 DOI: 10.3390/v15020587] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 02/24/2023] Open
Abstract
Epidemics and pandemics have occurred since the beginning of time, resulting in millions of deaths. Many such disease outbreaks are caused by viruses. Some viruses, particularly RNA viruses, are characterized by their high genetic variability, and this can affect certain phenotypic features: tropism, antigenicity, and susceptibility to antiviral drugs, vaccines, and the host immune response. The best strategy to face the emergence of new infectious genomes is prompt identification. However, currently available diagnostic tests are often limited for detecting new agents. High-throughput next-generation sequencing technologies based on metagenomics may be the solution to detect new infectious genomes and properly diagnose certain diseases. Metagenomic techniques enable the identification and characterization of disease-causing agents, but they require a large amount of genetic material and involve complex bioinformatic analyses. A wide variety of analytical tools can be used in the quality control and pre-processing of metagenomic data, filtering of untargeted sequences, assembly and quality control of reads, and taxonomic profiling of sequences to identify new viruses and ones that have been sequenced and uploaded to dedicated databases. Although there have been huge advances in the field of metagenomics, there is still a lack of consensus about which of the various approaches should be used for specific data analysis tasks. In this review, we provide some background on the study of viral infections, describe the contribution of metagenomics to this field, and place special emphasis on the bioinformatic tools (with their capabilities and limitations) available for use in metagenomic analyses of viral pathogens.
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Affiliation(s)
- Marta Ibañez-Lligoña
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Spain
| | - Sergi Colomer-Castell
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Spain
| | - Alejandra González-Sánchez
- Microbiology Department, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
| | - Josep Gregori
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
| | - Carolina Campos
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Spain
| | - Damir Garcia-Cehic
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
| | - Cristina Andrés
- Microbiology Department, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
| | - Maria Piñana
- Microbiology Department, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
| | - Tomàs Pumarola
- Microbiology Department, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Microbiology Department, Universitat Autònoma de Barcelona (UAB), Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Spain
| | - Francisco Rodríguez-Frias
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
- Department of Basic Sciences, Universitat Internacional de Catalunya, Sant Cugat del Vallès, 08195 Barcelona, Spain
| | - Andrés Antón
- Microbiology Department, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Microbiology Department, Universitat Autònoma de Barcelona (UAB), Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Spain
| | - Josep Quer
- Liver Diseases-Viral Hepatitis, Liver Unit, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Spain
- Correspondence:
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Santiago-Rodriguez TM, Hollister EB. Viral Metagenomics as a Tool to Track Sources of Fecal Contamination: A One Health Approach. Viruses 2023; 15:236. [PMID: 36680277 PMCID: PMC9863393 DOI: 10.3390/v15010236] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/10/2023] [Accepted: 01/13/2023] [Indexed: 01/18/2023] Open
Abstract
The One Health framework recognizes that human, animal, and environmental health are linked and highly interdependent. Fecal contamination of water, soil, foodstuff, and air may impact many aspects of One Health, and culture, PCR-based, and sequencing methods are utilized in the detection of fecal contamination to determine source, load, and risk to inform targeted mitigation strategies. Viruses, particularly, have been considered as fecal contamination indicators given the narrow host range many exhibit and their association with other biological contaminants. Culture- and molecular-based methods are considered the gold-standards for virus detection and for determining specific sources of fecal contamination via viral indicators. However, viral metagenomics is also being considered as a tool for tracking sources of fecal contamination. In the present review, studies tracking potential sources of fecal contamination in freshwaters, marine waters, foodstuff, soil, and air using viral metagenomics are discussed to highlight the potential of viral metagenomics for optimizing fecal source tracking. Limitations of the use of viral metagenomics to track fecal contamination sources, including sample processing, nucleic acid recovery, sequencing depth, and bioinformatics are also discussed. Finally, the present review discusses the potential of viral metagenomics as part of the toolbox of methods in a One Health approach.
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