Retrotransposon-Based Genetic Diversity Assessment in Wild Emmer Wheat (Triticum turgidum ssp. dicoccoides)

Anssi L. Vuorinen, Ruslan Kalendar, Tzion Fahima, Helena Korpelainen, Eviatar Nevo, Alan H. Schulman

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Wild emmer wheat (Triticum turgidum ssp. dicoccoides) is the wild ancestor of all cultivated tetraploid and hexaploid wheats and harbors a large amount of genetic diversity. This diversity is expected to display eco-geographical patterns of variation, conflating gene flow, and local adaptation. As self-replicating entities comprising the bulk of genomic DNA in wheat, retrotransposons are expected to create predominantly neutral variation via their propagation. Here, we have examined the genetic diversity of 1 Turkish and 14 Israeli populations of wild emmer wheat, based on the retrotransposon marker methods IRAP and REMAP. The level of genetic diversity we detected was in agreement with previous studies that were performed with a variety of marker systems assaying genes and other genomic components. The genetic distances failed to correlate with the geographical distances, suggesting local selection on geographically widespread haplotypes (‘weak selection’). However, the proportion of polymorphic loci correlated with the population latitude, which may reflect the temperature and water availability cline. Genetic diversity correlated with longitude, the east being more montane. Principal component analyses on the marker data separated most of the populations.
Original languageEnglish
Article number 107
JournalAgronomy
Volume8
Issue number7
Number of pages13
ISSN2073-4395
DOIs
Publication statusPublished - Jul 2018
MoE publication typeA1 Journal article-refereed

Fields of Science

  • 1183 Plant biology, microbiology, virology
  • 4111 Agronomy
  • Triticum turgidum ssp. dicoccoide s
  • wild emmer wheat
  • IRAP
  • REMAP
  • genetic diversity
  • STRIPE RUST RESISTANCE
  • MOLECULAR MARKERS
  • FAST PRIMER
  • EVOLUTION
  • ISRAEL
  • POLYMORPHISM
  • POPULATION
  • SOFTWARE

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