2019
DOI: 10.1111/tpj.14554
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Variation in phosphorus and sulfur content shapes the genetic architecture and phenotypic associations within the wheat grain ionome

Abstract: Dissection of the genetic basis of wheat ionome is crucial for understanding the physiological and biochemical processes underlying mineral accumulation in seeds, as well as for efficient crop breeding. Most of the elements essential for plants are metals stored in seeds as chelate complexes with phytic acid or sulfur-containing compounds. We assume that the involvement of phosphorus and sulfur in metal chelation is the reason for strong phenotypic correlations within ionome. Adjustment of element concentratio… Show more

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Cited by 14 publications
(9 citation statements)
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References 95 publications
(127 reference statements)
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“…The study revealed the advantage of the ionomics approach, when all important grain macro-and microelements, and trace metals are phenotyped to analyze their relationships and to evaluate germplasm in an integrative manner. This study proved the importance of protein content as a key trait affecting the concentration of almost all grain elements, reported previously in Fatyukha et al [26]. Macroelements Mg, P, and S were also significantly correlated with other elements.…”
Section: Discussionsupporting
confidence: 88%
See 1 more Smart Citation
“…The study revealed the advantage of the ionomics approach, when all important grain macro-and microelements, and trace metals are phenotyped to analyze their relationships and to evaluate germplasm in an integrative manner. This study proved the importance of protein content as a key trait affecting the concentration of almost all grain elements, reported previously in Fatyukha et al [26]. Macroelements Mg, P, and S were also significantly correlated with other elements.…”
Section: Discussionsupporting
confidence: 88%
“…Considering the diversity of the germplasm and the high variation for agronomic traits, the concentrations of all elements were adjusted based on the correlations. Similar adjustments were made by Fatyukha et al [26], using protein content and P concentration as variables. The adjustments made in this study were well justified and allowed more precise evaluation of genetic resources.…”
Section: Discussionmentioning
confidence: 98%
“…Identifying the genetic determinants of between-cultivar variation would provide valuable tools for breeding crops with high Zn content. Sequencing and genome analysis of wild relative and pre-green revolution populations through quantitative trait loci (QTL) and genome-wide association studies have begun to address these needs and will contribute to enhancing the genetic variation available to breeders, as well as aiding genetic marker design (Velu et al, 2018;Ali and Borrill, 2020;Cu et al, 2020;Fatiukha et al, 2020;Gupta et al, 2021). QTL analysis of backcross recombinant inbred lines derived from O. sativa ''Nipponbare'' and the Australian wild rice O. meridionalis W1627 followed by fine mapping has identified specific genomic loci associated with increased Zn concentrations in grains (Ishikawa et al, 2017).…”
Section: Genetic Biofortification Approaches For Znmentioning
confidence: 99%
“…durum, cv. Langdon) and wild emmer wheat (accession G18-16) (Peleg et al, 2009;Fatiukha et al, 2020). The introgression and identification of wild emmer quantitative trait locus (QTL) linked to micronutrient accumulation in a hexaploid wheat background have been less reported.…”
Section: Introductionmentioning
confidence: 99%
“…It was available to study QTLs related to agronomically important traits in large sets of germplasm resources such as landraces (Liu et al, 2017), elite cultivars (Sukumaran et al, 2015), and advanced breeding lines (Wang et al, 2017) as well as backbone parents and their derived lines (Yu and Tian, 2012;Yu et al, 2014;Xiao et al, 2016;Liu et al, 2019). In wheat, GWAS has been extensively applied to reveal genomic regions controlling traits such as GPC (Liu et al, 2019), grain ionome (Fatiukha et al, 2020), and yield-related traits (Tadesse et al, 2015).…”
Section: Introductionmentioning
confidence: 99%