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Evolution of the human oral microbiome

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  • 3 chapters

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Through Neolithic

Technique advancements

Since the 1980s, it has been well known that archeological dental calculus preserves cellular structures and oral bacteria, but a new discovery in the last decade has revealed that dental calculus is a long-term reservoir of DNA and proteins. Human DNA in dental calculus was initially targeted by PCR amplification of mitochondrial DNA (mtDNA), followed by either haplogroup inference or conventional cloning and Sanger sequencing. Shotgun metagenomics paired with next-generation sequencing (NGS) technology further confirmed dental calculus contains mitochondrial and nuclear DNA. Dental calculus typically contains 10–1,000-fold more DNA than bone or dentine, making it the richest known source of aDNA, one of the possible double helical structures of DNA, in the archaeological record. Archaeological dental calculus is an alternative source of high quality mitochondrial DNA sufficient for full mitogenome reconstruction. This reconstruction can then be applied to maternal lineage ancestry analysis to determine the haplogroup, thus identifying which geographical regions maternal ancestors settled. Protein sequencing has also been applied revealing bacterial functions such as virulence factors and their interactions with the host are viable from ancient dental calculus. Proteomics has revealed over 60 human proteins with origins in dental calculus such as follicular dendritic cell-secreted protein, alpha amylase I, hemoglobin, etc. Metabolomics and lipidomic studies are used to determine what metabolic categories (amino acids, carbohydrates, cofactors and vitamins, energy, lipids, nucleic acids, peptides, xenobiotics) and the source of metabolites (host, microbial, diet) are found within dental calculus samples. Many of these newly developed techniques used to study ancient dental calculus are still in their early stages and need to overcome several limitations to offer a more accurate understanding on the evolution of the oral microbiome. Some examples of these limitations are isolation of contaminant DNA, correct identification of ancient microbial species, identification and isolation of non-bacterial DNA as well as better statistical techniques.

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