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Mukherjee, C.

Publications and source records attributed to Mukherjee, C..

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Acquisition of Oral Microbiota is Driven by Environment, Not Host Genetics

The human oral microbiota is acquired early in an organized pattern, but the factors driving this acquisition are not well understood. Microbial "heritability" could have far-reaching consequences for health, yet no studies have specifically examined the fidelity with which the oral microbiota are passed from parents to offspring. Some previous studies comparing monozygotic (MZ) and dizygotic (DZ) twins had suggested that host genetics has a role in shaping oral microbial communities, and also identified so called "heritable" taxa. However, these findings are likely to be confounded by shared environmental factors resulting from the well-established greater behavioral similarity among MZ twins. In addition, MZ and DZ twins share an equal portion of their parents genome, and so this model is not informative for studying direct parent to offspring transmission. To specifically examine the contribution of genetics to the fidelity of transmission of bacteria from parents to offspring, we used a novel study design comparing fraction of shared species and strains between our genetically related group consisting of children and their biological mothers, with that of children and their adoptive mothers, constituting our genetically unrelated group. Fifty-five biological and 50 adoptive mother-child pairs were recruited along with 23 biological fathers and 16 siblings. Subjects were carefully selected to ensure the two groups were matched on childs age. Three distinct habitats within the oral cavity: the saliva/soft tissue surface, supragingival biofilm, and subgingival biofilm, were sampled to comprehensively profile the oral microbiome. Our recently developed strategy for subspecies level characterization of bacterial communities by targeted sequencing of the ribosomal 16-23S intergenic spacer region (ISR) was utilized in the present study to track strain sharing between subjects, in addition to 16S rRNA gene sequencing for species analysis. Results showed that oral bacterial community profiles of adoptive and biological mother-child pairs were equally similar, indicating no effect of host genetics on the fidelity of transmission. This was consistent at both species and strain level resolutions, and across all three habitats sampled. We also found that all children more closely resembled their own mother as compared to unrelated women, suggesting that contact and shared environment were the major factors shaping the oral microbiota. Individual analysis of the most abundant species also did not detect any effect of host genetics on strain sharing between mother and child. Mother-child strain similarity increased with the age of the child, ruling out early effects that are lost over time. No effect on the fidelity of mother-child strain sharing from vaginal birth or breast feeding was seen. Analysis of extended families showed that fathers and mothers were equally similar to their children. Cohabitating couples showed even greater strain similarity than mother-child pairs, further supporting the role of age, contact and shared environment as determinants of microbial similarity. Based on these findings we suggest that the genetic effects on oral microbial acquisition observed in twin studies are more likely the result of confounding environmental factors based on greater behavioral similarity among MZ twins. Our findings suggest that these host mechanisms are universal to humans, since no effect of genetic relatedness on fidelity of microbial transmission could be detected. Instead, our findings point toward contact and shared environment being the driving factors of microbial transmission, with a unique combination of these factors ultimately shaping a highly personalized human oral microbiome.

microbiology↗

High-resolution ISR amplicon sequencing reveals personalized oral microbiome

Background: Sequencing of the 16S rRNA gene has been the standard for studying the composition of microbial communities. While it allows identification of bacteria at the level of species, it does not usually provide sufficient information to resolve at the sub-species level. Species-level resolution is not adequate for studies of transmission or stability, or for exploring subspecies variation in disease association. Current approaches using whole metagenome shotgun sequencing require very high coverage that can be cost-prohibitive and computationally challenging for diverse communities. Thus there is a need for high-resolution, yet cost-effective, high-throughput methods for characterizing microbial communities.\n\nResults: Significant improvement in resolution for amplicon-based bacterial community analysis was achieved by combining amplicon sequencing of a high-diversity marker gene, the ribosomal operon ISR, with a probabilistic error modeling algorithm, DADA2. The resolving power of this new approach was compared to that of both standard and high-resolution 16S-based approaches using a set of longitudinal subgingival plaque samples. The ISR strategy achieved a 5.2-fold increase in community richness compared to reference-based 16S rRNA gene analysis, and showed 100% accuracy in predicting the correct source of a clinical sample. Individuals microbial communities were highly personalized, and although they exhibited some drift in membership and levels over time, that difference was always smaller than the differences between any two subjects, even after one year. The construction of an ISR database from publicly available genomic sequences allowed us to explore genomic variation within species, resulting in the identification of multiple variants of the ISR for most species.\n\nConclusions: The ISR approach resulted in significantly improved resolution of communities, and revealed a highly personalized, stable human oral microbiota. Multiple ISR types were observed for all species examined, demonstrating a high level of subspecies variation in the oral microbiota. The approach is high-throughput, high-resolution yet cost-effective, allowing subspecies-level community fingerprinting at a cost comparable to that of 16S rRNA gene amplicon sequencing. It will be useful for a range of applications that require high-resolution identification of organisms, including microbial tracking, community fingerprinting, and potentially for identification of virulence-associated strains.

microbiology↗