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Application of DNA Barcoding to Identify Medicinal Plants
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DNA BARCODING IN LAND PLANTS: DEVELOPING STANDARDS TO QUANTIFY AND MAXIMIZE SUCCESS.

David L Erickson1, John Spouge, Alissa Resch

  • 1Department of Botany, MRC-166, National Museum of Natural History, Smithsonian Institution, P.O. Box 37012, Washington, DC 20013-7012, U.S.A.

Taxon
|September 26, 2009
PubMed
Summary
This summary is machine-generated.

Selecting effective plant DNA barcodes is challenging due to low substitution rates and lack of comparison standards. We propose the probability of correct identification (PCI) as a metric for evaluating DNA barcode efficacy in species assignment.

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Area of Science:

  • Botany
  • Molecular Biology
  • Bioinformatics

Background:

  • Plant DNA barcode selection is hindered by low nucleotide substitution rates in plastid markers.
  • A lack of standardized methods prevents quantitative comparison of proposed plant DNA barcode markers.
  • Existing studies lack a unifying rationale for adopting specific DNA barcodes in plants.

Purpose of the Study:

  • To propose a unifying rationale for selecting plant DNA barcodes based on database performance.
  • To introduce a quantitative measure, the probability of correct identification (PCI), for evaluating barcode efficacy.
  • To address the need for standardized criteria in plant DNA barcode marker selection.

Main Methods:

  • Developing a metric for barcode efficacy focused on database performance.
  • Defining the probability of correct identification (PCI) as a measure of barcode effectiveness.
  • Considering how analytical methods and database design influence barcode selection.

Main Results:

  • The probability of correct identification (PCI) offers a flexible, unifying rationale for prioritizing barcode selection criteria.
  • PCI can accommodate scientific disagreements on the best methods for evaluating DNA barcodes.
  • Different barcode types may necessitate distinct analytical approaches and database designs.

Conclusions:

  • The probability of correct identification (PCI) provides a robust framework for selecting broadly effective DNA barcodes for land plants.
  • Standardized evaluation metrics like PCI are crucial for advancing plant DNA barcoding research.
  • Future research should explore how analytical methods impact the choice of optimal plant DNA barcodes.