Choosing the best plant for the job: a cost-effective assay to prescreen ancient plant remains destined for shotgun sequencing

PLoS One. 2012;7(9):e45644. doi: 10.1371/journal.pone.0045644. Epub 2012 Sep 20.

Abstract

DNA extracted from ancient plant remains almost always contains a mixture of endogenous (that is, derived from the plant) and exogenous (derived from other sources) DNA. The exogenous 'contaminant' DNA, chiefly derived from microorganisms, presents significant problems for shotgun sequencing. In some samples, more than 90% of the recovered sequences are exogenous, providing limited data relevant to the sample. However, other samples have far less contamination and subsequently yield much more useful data via shotgun sequencing. Given the investment required for high-throughput sequencing, whenever multiple samples are available, it is most economical to sequence the least contaminated sample. We present an assay based on quantitative real-time PCR which estimates the relative amounts of fungal and bacterial DNA in a sample in comparison to the endogenous plant DNA. Given a collection of contextually-similar ancient plant samples, this low cost assay aids in selecting the best sample for shotgun sequencing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Base Sequence
  • Cost-Benefit Analysis
  • DNA Primers
  • DNA, Plant / genetics*
  • Plants / genetics*
  • Real-Time Polymerase Chain Reaction
  • Sequence Analysis, DNA / economics*

Substances

  • DNA Primers
  • DNA, Plant

Grants and funding

Funding came from the Danish Council for Independent Research ‘Sapere Aude’ grant; Danish National Research Foundation ‘GeoGenetics’ grant; European Union Marie Curie Intra European Fellowship [grant number 237227 allotted to E.C.]; and American-Scandinavian Foundation [dissertation fellowship for N.W.]. Funding for open access charge: University of Connecticut Open Access Author Fund and Department of Anthropology, University of Connecticut. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.