The efficacy of whole human genome capture on ancient dental calculus and dentin.

OBJECTIVES: Dental calculus is among the richest known sources of ancient DNA in the archaeological record. Although most DNA within calculus is microbial, it has been shown to contain sufficient human DNA for the targeted retrieval of whole mitochondrial genomes. Here, we explore whether calculus is also a viable substrate for whole human genome recovery using targeted enrichment techniques. MATERIALS AND METHODS: Total DNA extracted from 24 paired archaeological human dentin and calculus samples was subjected to whole human genome enrichment using in-solution hybridization capture and high-throughput sequencing. RESULTS: Total DNA from calculus exceeded that of dentin in all cases, and although the proportion of human DNA was generally lower in calculus, the absolute human DNA content of calculus and dentin was not significantly different. Whole genome enrichment resulted in up to four-fold enrichment of the human endogenous DNA content for both dentin and dental calculus libraries, albeit with some loss in complexity. Recovering more on-target reads for the same sequencing effort generally improved the quality of downstream analyses, such as sex and ancestry estimation. For nonhuman DNA, comparison of phylum-level microbial community structure revealed few differences between precapture and postcapture libraries, indicating that off-target sequences in human genome-enriched calculus libraries may still be useful for oral microbiome reconstruction. DISCUSSION: While ancient human dental calculus does contain endogenous human DNA sequences, their relative proportion is low when compared with other skeletal tissues. Whole genome enrichment can help increase the proportion of recovered human reads, but in this instance enrichment efficiency was relatively low when compared with other forms of capture. We conclude that further optimization is necessary before the method can be routinely applied to archaeological samples.

Bioarchaeological profile of stress and dental disease among ancient high altitude Himalayan communities of Nepal.

OBJECTIVES: This study examines biological indicators of dental disease and nonspecific stress in human remains of three high altitude Himalayan archaeological sites to test whether shared ecological constraints led to similar bioarchaeological profiles in these markers. METHODS: Samples (n = 170) derive from three sites in Nepal dating to two periods (400-50 BCE and c. 400-650 CE). Dental diseases (caries, antemortem tooth loss, and abscesses) were assessed by both the number of individuals and the number of elements observed, while childhood stress markers included observation of growth disruptions (enamel hypoplasia and adult femur length/stature) and cranial porosities. Statistical analysis included chi-square and Fisher's exact tests for categorical data and ANOVA and t-tests for metric data. RESULTS: There are significant differences between the sites and sexes in frequencies of dental diseases in the adult samples. There are low frequencies of childhood stress markers overall and the femur length data show no significant differences across sites, but significant sexual dimorphism within each site. Females have reduced stature compared to contemporary Tibetan samples residing at a similar elevation. CONCLUSIONS: Variations in dental disease frequencies between the sites may be due to local variations in microenvironment, cultural, and/or temporal differences in resource availability, food consumption and preparation, as well as the age structure of the samples. The low frequencies of markers for nonspecific stress may be indicative of the ability of these ancient Himalayan groups to successfully meet the challenges posed by the extreme conditions of high altitude living through biocultural adaptations.

Differential preservation of endogenous human and microbial DNA in dental calculus and dentin.

Dental calculus (calcified dental plaque) is prevalent in archaeological skeletal collections and is a rich source of oral microbiome and host-derived ancient biomolecules. Recently, it has been proposed that dental calculus may provide a more robust environment for DNA preservation than other skeletal remains, but this has not been systematically tested. In this study, shotgun-sequenced data from paired dental calculus and dentin samples from 48 globally distributed individuals are compared using a metagenomic approach. Overall, we find DNA from dental calculus is consistently more abundant and less contaminated than DNA from dentin. The majority of DNA in dental calculus is microbial and originates from the oral microbiome; however, a small but consistent proportion of DNA (mean 0.08 ± 0.08%, range 0.007-0.47%) derives from the host genome. Host DNA content within dentin is variable (mean 13.70 ± 18.62%, range 0.003-70.14%), and for a subset of dentin samples (15.21%), oral bacteria contribute > 20% of total DNA. Human DNA in dental calculus is highly fragmented, and is consistently shorter than both microbial DNA in dental calculus and human DNA in paired dentin samples. Finally, we find that microbial DNA fragmentation patterns are associated with guanine-cytosine (GC) content, but not aspects of cellular structure.

Intrinsic challenges in ancient microbiome reconstruction using 16S rRNA gene amplification.

To date, characterization of ancient oral (dental calculus) and gut (coprolite) microbiota has been primarily accomplished through a metataxonomic approach involving targeted amplification of one or more variable regions in the 16S rRNA gene. Specifically, the V3 region (E. coli 341-534) of this gene has been suggested as an excellent candidate for ancient DNA amplification and microbial community reconstruction. However, in practice this metataxonomic approach often produces highly skewed taxonomic frequency data. In this study, we use non-targeted (shotgun metagenomics) sequencing methods to better understand skewed microbial profiles observed in four ancient dental calculus specimens previously analyzed by amplicon sequencing. Through comparisons of microbial taxonomic counts from paired amplicon (V3 U341F/534R) and shotgun sequencing datasets, we demonstrate that extensive length polymorphisms in the V3 region are a consistent and major cause of differential amplification leading to taxonomic bias in ancient microbiome reconstructions based on amplicon sequencing. We conclude that systematic amplification bias confounds attempts to accurately reconstruct microbiome taxonomic profiles from 16S rRNA V3 amplicon data generated using universal primers. Because in silico analysis indicates that alternative 16S rRNA hypervariable regions will present similar challenges, we advocate for the use of a shotgun metagenomics approach in ancient microbiome reconstructions.