Biology Faculty Proceedings, Presentations, Speeches, Lectures

Recent History of Gombe Chimpanzees through Ancient DNA Analysis

Event Name/Location

Plant and Animal Genome XXVII Conference / San Diego, CA, USA

Presentation Date

1-13-2019

Document Type

Workshop

ORCID ID

0000-0003-4540-7106

ResearcherID

D-1147-2018

Keywords

Plants and Animals: Population, Conservation and Ecological Genomics, Technology: Bioinformatics and computing, Technology: Sequencing

Description

Ancient DNA methodologies can be used to answer questions about extant wild populations such as East African chimpanzees (Pan troglodytes schweinfurthii). In this study, we examine genetic diversity through analysis of both the host genome and the microbial ecosystems within (i.e. the microbiome) using ancient DNA lab methods, shotgun amplification, targeted capture, and Next Generation Sequencing (Illumina). Specifically, the goal of our research at Gombe National Park is to understand the extent to which mitochondrial and oral microbiome diversity has changed over time and how the oral ecosystem from wild chimpanzees compares to that seen in human populations. To date, we have recovered 33 full mitochondrial genomes from chimpanzees living at Gombe between the 1960’s and the 2010’s and found a slight decrease in genetic diversity within the park across decades (0.00257 to 0.00155). Additionally, we report that Gombe chimpanzees showed a significantly higher abundance of the common oral microbial phyla Bacteroidetes and Fusobacteria but a significantly lower abundance of Firmicutes and Proteobacteria when compared to historic human populations. Chimpanzees also showed a higher abundance of the genus Porphyromonas, a microbe associated with the Red Complex, which has been connected to periodontal disease in humans. These results allow us to evaluate the extent to which historic DNA samples (<200 years) can be used to answer questions regarding host health and diversity over time across a variety of at risk wild populations that may benefit from such analyses.

Comments

This session was presented during the Degraded DNA and Paleogenomics Workshop.

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