This project represents the first comprehensive study applying molecular and genetic methods to study historical contexts such as migration and trade based on human parasites. Using specially developed techniques, the study focused on parasites with minor symptoms which allowed the infected person to go about their daily business. The combination of state of the art techniques in archaeology, molecular methods and phylogenetic analysis enabled us to develop a novel powerful tool to study historic events. Diseases have a considerable impact on societies. Various publications indicate that human intestinal parasites are commonly found in a variety of archaeological contexts, including latrines, graves and mummies. These parasites can be detected by microscopy which focuses the work on samples which do close association to humans; widespread prevalence and the possibility for reliable microscopic diagnostics suggest that these parasites are an attractive study system for human activities. Infectious diseases have a much short generation time which offers greater opportunity to track historical events at higher resolution. Looking at a range of human parasites, their different life-cycles allowed insight into various aspects of human culture, comparing different origins of the samples allows an estimation of the epidemiological burden of ancient populations. Application of a parallel sequencing approach (MiSeq) enabled building a comprehensive database of sequences from various archaeological sites dating as far back as 3630 BCE. Indepth phylogenetic analysis reveals patterns in the genetic signatures of both coding and non-coding genetic regions, taking various levels of selective pressure into account. This project has produced the oldest pathogen sequence and the most comprehensive database of ancient pathogen sequences.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:711773 |
| Date | January 2014 |
| Creators | Flammer, Patrik Guido |
| Contributors | Pollard, A. Mark ; Smith, Adrian L. |
| Publisher | University of Oxford |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | https://ora.ox.ac.uk/objects/uuid:642b62a8-431f-47b9-91ae-05339324cfd4 |
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