Literature DB >> 32529648

The maize shoot ionome: Its interaction partners, predictive power, and genetic determinants.

Benjamin Stich1,2,3, Andreas Benke3, Maria Schmidt1, Claude Urbany3, Rongli Shi4, Nicolaus von Wirén4.   

Abstract

An improved understanding of how to manipulate the accumulation and enrichment of mineral elements in aboveground plant tissues holds promise for future resource efficient and sustainable crop production. The objectives of this study were to (a) evaluate the influence of Fe regimes on mineral element concentrations and contents in the maize shoot as well as their correlations, (b) examine the predictive ability of physiological and morphological traits of individual genotypes of the IBM population from the concentration of mineral elements, and (c) identify genetic factors influencing the mineral element composition within and across Fe regimes. We evaluated the concentration and content of 12 mineral elements in shoots of the IBM population grown in sufficient and deficient Fe regimes and found for almost all mineral elements a significant (α = 0.05) genotypic variance. Across all mineral elements, the variance of genotype*Fe regime interactions was on average even more pronounced. High prediction abilities indicated that mineral elements are powerful predictors of morphological and physiological traits. Furthermore, our results suggest that ZmHMA2/3 and ZmMOT1 are major players in the natural genetic variation of Cd and Mo concentrations and contents of maize shoots, respectively.
© 2020 The Authors. Plant, Cell & Environment published by John Wiley & Sons Ltd.

Entities:  

Keywords:  QTL mapping; genomic prediction; ionomic prediction; iron regime; maize; physiological and morphological traits; shoot ionome

Mesh:

Substances:

Year:  2020        PMID: 32529648     DOI: 10.1111/pce.13823

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


  5 in total

1.  Transient Nutrient Deficiencies in Pea: Consequences on Nutrient Uptake, Remobilization, and Seed Quality.

Authors:  Cécile Jacques; Marion Forest; Vincent Durey; Christophe Salon; Alain Ourry; Marion Prudent
Journal:  Front Plant Sci       Date:  2021-12-23       Impact factor: 5.753

2.  Transcriptomic, Metabolomic and Ionomic Analyses Reveal Early Modulation of Leaf Mineral Content in Brassica napus under Mild or Severe Drought.

Authors:  Aurélien D'Oria; Lun Jing; Mustapha Arkoun; Sylvain Pluchon; Stéphanie Pateyron; Jacques Trouverie; Philippe Etienne; Sylvain Diquélou; Alain Ourry
Journal:  Int J Mol Sci       Date:  2022-01-11       Impact factor: 5.923

Review 3.  Advances in "Omics" Approaches for Improving Toxic Metals/Metalloids Tolerance in Plants.

Authors:  Ali Raza; Javaria Tabassum; Zainab Zahid; Sidra Charagh; Shanza Bashir; Rutwik Barmukh; Rao Sohail Ahmad Khan; Fernando Barbosa; Chong Zhang; Hua Chen; Weijian Zhuang; Rajeev K Varshney
Journal:  Front Plant Sci       Date:  2022-01-04       Impact factor: 5.753

4.  Unraveling the potential of phenomic selection within and among diverse breeding material of maize (Zea mays L.).

Authors:  Thea Mi Weiß; Xintian Zhu; Willmar L Leiser; Dongdong Li; Wenxin Liu; Wolfgang Schipprack; Albrecht E Melchinger; Volker Hahn; Tobias Würschum
Journal:  G3 (Bethesda)       Date:  2022-03-04       Impact factor: 3.154

5.  The mouse metallomic landscape of aging and metabolism.

Authors:  Jean-David Morel; Lucie Sauzéat; Ludger J E Goeminne; Pooja Jha; Evan Williams; Riekelt H Houtkooper; Ruedi Aebersold; Johan Auwerx; Vincent Balter
Journal:  Nat Commun       Date:  2022-02-01       Impact factor: 14.919

  5 in total

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