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Mining Metagenomic Data Sets for Ancient DNA: Recommended Protocols for Authentication.
Key, Felix M; Posth, Cosimo; Krause, Johannes; Herbig, Alexander; Bos, Kirsten I.
Afiliação
  • Key FM; Max Planck Institute for the Science of Human History, Jena, Germany. Electronic address: key@shh.mpg.de.
  • Posth C; Max Planck Institute for the Science of Human History, Jena, Germany.
  • Krause J; Max Planck Institute for the Science of Human History, Jena, Germany.
  • Herbig A; Max Planck Institute for the Science of Human History, Jena, Germany.
  • Bos KI; Max Planck Institute for the Science of Human History, Jena, Germany. Electronic address: bos@shh.mpg.de.
Trends Genet ; 33(8): 508-520, 2017 08.
Article em En | MEDLINE | ID: mdl-28688671
While a comparatively young area of research, investigations relying on ancient DNA data have been highly valuable in revealing snapshots of genetic variation in both the recent and the not-so-recent past. Born out of a tradition of single-locus PCR-based approaches that often target individual species, stringent criteria for both data acquisition and analysis were introduced early to establish high standards of data quality. Today, the immense volume of data made available through next-generation sequencing has significantly increased the analytical resolution offered by processing ancient tissues and permits parallel analyses of host and microbial communities. The adoption of this new approach to data acquisition, however, requires an accompanying update on methods of DNA authentication, especially given that ancient molecules are expected to exist in low proportions in archaeological material, where an environmental signal is likely to dominate. In this review, we provide a summary of recent data authentication approaches that have been successfully used to distinguish between endogenous and nonendogenous DNA sequences in metagenomic data sets. While our discussion mostly centers on the detection of ancient human and ancient bacterial pathogen DNA, their applicability is far wider.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metagenoma / Mineração de Dados / Conjuntos de Dados como Assunto / DNA Antigo Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metagenoma / Mineração de Dados / Conjuntos de Dados como Assunto / DNA Antigo Idioma: En Ano de publicação: 2017 Tipo de documento: Article