Direct multiplex sequencing (DMPS)—a novel method for targeted high-throughput sequencing of ancient and highly degraded DNA

  1. Mathias Stiller1,
  2. Michael Knapp1,
  3. Udo Stenzel1,
  4. Michael Hofreiter1,2 and
  5. Matthias Meyer1,3
  1. 1 Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany;
  2. 2 Department of Biology, University of York, YO10 5YW York, United Kingdom

    Abstract

    Although the emergence of high-throughput sequencing technologies has enabled whole-genome sequencing from extinct organisms, little progress has been made in accelerating targeted sequencing from highly degraded DNA. Here, we present a novel and highly sensitive method for targeted sequencing of ancient and degraded DNA, which couples multiplex PCR directly with sample barcoding and high-throughput sequencing. Using this approach, we obtained a 96% complete mitochondrial genome data set from 31 cave bear (Ursus spelaeus) samples using only two 454 Life Sciences (Roche) GS FLX runs. In contrast to previous studies relying only on short sequence fragments, the overlapping portion of our data comprises almost 10 kb of replicated mitochondrial genome sequence, allowing for the unambiguous differentiation of three major cave bear clades. Our method opens up the opportunity to simultaneously generate many kilobases of overlapping sequence data from large sets of difficult samples, such as museum specimens, medical collections, or forensic samples. Embedded in our approach, we present a new protocol for the construction of barcoded sequencing libraries, which is compatible with all current high-throughput technologies and can be performed entirely in plate setup.

    Footnotes

    • 3 Corresponding author.

      E-mail mmeyer{at}eva.mpg.de; fax 49-341-3550-555.

    • [Supplemental material is available online at http://www.genome.org. All cave bear mitochondrial genome sequences from this study have been submitted to GenBank under accession nos. FN390842–FN390872.]

    • Article published online before print. Article and publication date are at http://www.genome.org/cgi/doi/10.1101/gr.095760.109.

      • Received May 6, 2009.
      • Accepted June 24, 2009.
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