Abstract
Cultivation-independent (molecular) analysis of the oral microbiota can provide a comprehensive picture of microbial community composition, yet there is an at-times bewildering array of approaches that can be employed. This chapter introduces some of the key considerations when undertaking microbiota research and describes two alternative bioinformatic pipelines for conducting such studies. The descriptions are based on analysis of bacterial 16S ribosomal RNA gene sequences, but can be easily adapted for analysis of other microbial taxa such as fungi.
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References
Gilbert JA, Blaser MJ, Caporaso JG, Jansson JK, Lynch SV, Knight R (2018) Current understanding of the human microbiome. Nat Med 24(4):392–400
Sedghi L, DiMassa V, Harrington A, Lynch SV, Kapila YL (2021) The oral microbiome: role of key organisms and complex networks in oral health and disease. Periodontol 2000 87(1):107–131
Abellan-Schneyder I, Matchado MS, Reitmeier S, Sommer A, Sewald Z, Baumbach J et al (2021) Primer, pipelines, parameters: issues in 16S rRNA gene sequencing. mSphere 6(1):e01202–e01220
Vesty A, Biswas K, Taylor MW, Gear K, Douglas RG (2017) Evaluating the impact of DNA extraction method on the representation of human oral bacterial and fungal communities. PLoS One 12(1):e0169877
Quince C, Walker AW, Simpson JT, Loman NJ, Segata N (2017) Shotgun metagenomics, from sampling to analysis. Nat Biotechnol 35(9):833–844
Thompson LR, Sanders JG, McDonald D, Amir A, Ladau J, Locey KJ et al (2017) A communal catalogue reveals Earth’s multiscale microbial diversity. Nature 551(7681):457–463
Escapa IF, Chen T, Huang Y, Gajare P, Dewhirst FE, Lemon KP (2018) New insights into human nostril microbiome from the expanded human oral microbiome database (eHOMD): a resource for the microbiome of the human aerodigestive tract. mSystems 3(6):e00187–e00118
McMurdie PJ, Holmes S (2014) Waste not, want not: why rarefying microbiome data is inadmissible. PLoS Comput Biol 10(4):e1003531
Lozupone C, Knight R (2005) UniFrac: a new phylogenetic method for comparing microbial communities. Appl Environ Microbiol 71(12):8228–8235
Cameron ES, Schmidt PJ, Tremblay BJ-M, Emelko MB, Müller KM (2021) Enhancing diversity analysis by repeatedly rarefying next generation sequencing data describing microbial communities. Sci Rep 11:22302
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Biswas, K., Taylor, M.W., Broderick, D.T.J. (2023). Bioinformatic Approaches for Describing the Oral Microbiota. In: Seymour, G.J., Cullinan, M.P., Heng, N.C., Cooper, P.R. (eds) Oral Biology. Methods in Molecular Biology, vol 2588. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2780-8_8
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DOI: https://doi.org/10.1007/978-1-0716-2780-8_8
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