Genetic mapping of the rice ionome in leaves and grain

identification of QTLs for 17 elements including arsenic, cadmium, iron and selenium

Gareth J. Norton, Claire M. Deacon, Lizhong Xiong, Shaoying Huang, Andrew A. Meharg, Adam H. Price

Research output: Contribution to journalArticle

118 Citations (Scopus)

Abstract

Research into the composition of cereal grains is motivated by increased interest in food quality. Here multi-element analysis is conducted on leaves and grain of the Bala x Azucena rice mapping population grown in the field. Quantitative trait loci (QTLs) for the concentration of 17 elements were detected, revealing 36 QTLs for leaves and 41 for grains. Epistasis was detected for most elements. There was very little correlation between leaf and grain element concentrations. For selenium, lead, phosphorus and magnesium QTLs were detected in the same location for both tissues. In general, there were no major QTL clusters, suggesting separate regulation of each element. QTLs for grain iron, zinc, molybdenum and selenium are potential targets for marker assisted selection to improve seed nutritional quality. An epistatic interaction for grain arsenic also looks promising to decrease the concentration of this carcinogenic element.

Original languageEnglish
Pages (from-to)139-153
Number of pages15
JournalPlant and Soil
Volume329
Issue number1-2
Early online date16 Sep 2009
DOIs
Publication statusPublished - Apr 2010

Keywords

  • arsenic
  • ionomics
  • iron
  • QTL mapping
  • rice
  • selenium
  • quantitative trait loci
  • staple food crops
  • oryza-sativa
  • arabidopsis-thaliana
  • phosphorus uptake
  • tolerance
  • plant
  • metal
  • model
  • biofortification

Cite this

Genetic mapping of the rice ionome in leaves and grain : identification of QTLs for 17 elements including arsenic, cadmium, iron and selenium. / Norton, Gareth J.; Deacon, Claire M.; Xiong, Lizhong; Huang, Shaoying; Meharg, Andrew A.; Price, Adam H.

In: Plant and Soil, Vol. 329, No. 1-2, 04.2010, p. 139-153.

Research output: Contribution to journalArticle

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