Chapter title |
Methods for Enrichment and Sequencing of Oral Viral Assemblages: Saliva, Oral Mucosa, and Dental Plaque Viromes
|
---|---|
Chapter number | 11 |
Book title |
The Human Virome
|
Published in |
Methods in molecular biology, August 2018
|
DOI | 10.1007/978-1-4939-8682-8_11 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8681-1, 978-1-4939-8682-8
|
Authors |
Marcos Parras-Moltó, Alberto López-Bueno, Parras-Moltó, Marcos, López-Bueno, Alberto |
Abstract |
The oral cavity is a major portal of entry for human pathogens including viruses. However, metagenomics has revealed that highly personalized and time-persistent bacteriophage assemblages dominate this habitat. Most oral bacteriophages follow lysogenic life cycles, deploying complex strategies to manage bacterial homeostasis. Although bacterial dysbiosis underlies common oral pathologies such as caries and periodontitis, the cause of these bacteria replacements remains obscure, and it is theorized that bacteriophages play an important role. The enormous sensitivity of metagenomics coupled with next-generation sequencing has made technically feasible to address the putative role of bacteriophages in oral dysbiosis and represents a valuable tool to discover new human viruses.This chapter proposes a workflow that consists of a simple viral enrichment protocol, two alternative random amplification methods, and next-generation sequencing to access virome composition in three oral environments: supragingival plaque, saliva, and mucosa. These protocols circumvent some well-known sources of bias, providing genomic information about DNA and RNA viral communities with minimal contamination from human and bacterial sources. |
X Demographics
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France | 2 | 40% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 8 | 18% |
Student > Master | 4 | 9% |
Student > Ph. D. Student | 4 | 9% |
Professor > Associate Professor | 3 | 7% |
Professor | 2 | 5% |
Other | 2 | 5% |
Unknown | 21 | 48% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 6 | 14% |
Medicine and Dentistry | 6 | 14% |
Agricultural and Biological Sciences | 5 | 11% |
Immunology and Microbiology | 3 | 7% |
Nursing and Health Professions | 1 | 2% |
Other | 2 | 5% |
Unknown | 21 | 48% |