μCT trait analysis reveals morphometric differences between domesticated temperate small grain cereals and their wild relatives

Aoife Hughes, Hugo Oliveira, Nick Fradgley, Fiona Corke, James Cockram, John Doonan, Candida Nobre Nibau

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)
205 Downloads (Pure)

Abstract

Wheat and barley are two of the founder crops domesticated in the Fertile Crescent, and currently represent crops of major economic importance in temperate regions. Due to impacts on yield, quality and end-use, grain morphometric traits remain an important goal for modern breeding programmes and are believed to have been selected for by human populations. To directly and accurately assess the three-dimensional (3D) characteristics of grains, we combine X-ray microcomputed tomography (μCT) imaging techniques with bespoke image analysis tools and mathematical modelling to investigate how grain size and shape vary across wild and domesticated wheat and barley. We find that grain depth and, to a lesser extent, width are major drivers of shape change and that these traits are still relatively plastic in modern bread wheat varieties. Significant changes in grain depth are also observed to be associated with differences in ploidy. Finally, we present a model that can accurately predict the wild or domesticated status of a grain from a given taxa based on the relationship between three morphometric parameters (length, width and depth) and suggest its general applicability to both archaeological identification studies and breeding programmes.

Original languageEnglish
Pages (from-to)98-111
Number of pages14
JournalPlant Journal
Volume99
Issue number1
Early online date10 Apr 2019
DOIs
Publication statusPublished - 01 Jul 2019

Keywords

  • X-ray micro computed tomography
  • μCT
  • wheat
  • barley
  • domestication
  • grain traits
  • phenomics
  • X-ray microcomputed tomography
  • Edible Grain/metabolism
  • Triticum/metabolism
  • Crops, Agricultural/metabolism
  • Domestication
  • X-Ray Microtomography
  • Ploidies
  • Hordeum/metabolism
  • Principal Component Analysis

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