Revealing genetic diversity of tree peonies at micro-evolution level with hyper-variable chloroplast markers and floral traits

Plant Cell Rep. 2012 Dec;31(12):2199-213. doi: 10.1007/s00299-012-1330-0. Epub 2012 Sep 9.

Abstract

Highly variable regions of chloroplast genome were found to be useful in the detection of plant genetic diversity at micro-evolution level. Our methodology will improve understanding and conservation of plant diversity. Tree peonies are famous flowers with about 2,000 cultivars in the world, belonging to Paeonia sect. Moutan of the Paeoniaceae. They are traditionally classified based on flower forms and colors. Due to the limited number of DNA and morphological markers, and the existence of synonyms and homonyms, evaluation on genetic diversity of so many cultivars remains a challenge. In most cases, it is difficult and even impossible to discriminate tree peony cultivars when they are not in flower. In this study, single nucleotide polymorphism detected from the hyper-variable regions of chloroplast genome was employed to separate tree peony cultivars into different maternal lineages which can be expressed briefly by a nucleotide molecular formula. Our approach enabled a much higher resolution of cultivar identification and classification that has not been obtained before. The newly developed hyper-variable chloroplast markers, as an independent source of taxonomic characteristics, provided novel evidences and higher resolution ability that are helpful in building an effective classification system for evaluation, conservation, and utilization of the tree peony germplasm resources at cultivar level.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Chloroplasts / genetics*
  • Color
  • DNA, Chloroplast / genetics*
  • Evolution, Molecular*
  • Flowers / genetics*
  • Flowers / physiology
  • Genetic Markers
  • Genome, Chloroplast
  • Paeonia / classification
  • Paeonia / genetics*
  • Paeonia / physiology
  • Phenotype
  • Polymorphism, Single Nucleotide*
  • Sequence Analysis, DNA / methods

Substances

  • DNA, Chloroplast
  • Genetic Markers