» Articles » PMID: 25711709

Should We Treat the Ionome As a Combination of Individual Elements, or Should We Be Deriving Novel Combined Traits?

Overview
Journal J Exp Bot
Specialty Biology
Date 2015 Feb 26
PMID 25711709
Citations 33
Authors
Affiliations
Soon will be listed here.
Abstract

It has been more than 10 years since the concept of the ionome, all of the mineral nutrients in a cell tissue or organism, was introduced. In the intervening years, ionomics, high throughput elemental profiling, has been used to analyse over 400,000 samples from at least 10 different organisms. There are now multiple published examples where an ionomics approach has been used to find genes of novel function, find lines or environments that produce foods with altered nutritional profiles, or define gene by environmental effects on elemental accumulation. In almost all of these studies, the ionome has been treated as a collection of independent elements, with the analysis repeated on each measured element. However, many elements share chemical properties, are known to interact with each other, or have been shown to have similar interactions with biological molecules. Accordingly, there is strong evidence from ionomic studies that the elements of the ionome do not behave independently and that combinations of elements should be treated as the phenotypes of interest. In this review, I will consider the evidence that we have for the interdependence of the ionome, some of its causes, methods for incorporating this interdependence into analyses and the benefits, drawbacks, and challenges of taking these approaches.

Citing Articles

Divergent responses of plant multi-element coupling to nitrogen and phosphorus addition in a meadow steppe.

Yang Y, Jin M, Liu J BMC Plant Biol. 2025; 25(1):110.

PMID: 39863870 PMC: 11762877. DOI: 10.1186/s12870-025-06129-1.


Spatiotemporal Variation in Dissolved, Bioavailable, and Particulate Elements and the Abundance of Harmful Algae in Grand Lake.

Ipek Y, Ghosh P, Mausbach W, Jeyasingh P ACS ES T Water. 2024; 4(12):5492-5505.

PMID: 39698556 PMC: 11650641. DOI: 10.1021/acsestwater.4c00575.


Elemental profiling and genome-wide association studies reveal genomic variants modulating ionomic composition in leaves.

Ployet R, Feng K, Zhang J, Baxter I, Glasgow D, Andrews H Front Plant Sci. 2024; 15:1450646.

PMID: 39670268 PMC: 11634625. DOI: 10.3389/fpls.2024.1450646.


An integration of genome-wide survey, homologous comparison and gene expression analysis provides a basic framework for the ZRT, IRT-like protein (ZIP) in foxtail millet.

Zheng J, Ma Y, Liang Y, Zhang T, Chen C, Amo A Front Plant Sci. 2024; 15:1467015.

PMID: 39301166 PMC: 11410603. DOI: 10.3389/fpls.2024.1467015.


Plasma Ionomic Profile and Interaction Patterns in Coronary Artery Disease Patients.

Zhao Q, Shu X, Yuan Z, Gao Q, Huang Y, Yang Y Biol Trace Elem Res. 2024; 203(2):754-765.

PMID: 38910164 DOI: 10.1007/s12011-024-04227-z.


References
1.
Borghi M, Rus A, Salt D . Loss-of-function of Constitutive Expresser of Pathogenesis Related Genes5 affects potassium homeostasis in Arabidopsis thaliana. PLoS One. 2011; 6(10):e26360. PMC: 3203115. DOI: 10.1371/journal.pone.0026360. View

2.
Zhao X, Mitani N, Yamaji N, Shen R, Ma J . Involvement of silicon influx transporter OsNIP2;1 in selenite uptake in rice. Plant Physiol. 2010; 153(4):1871-7. PMC: 2923891. DOI: 10.1104/pp.110.157867. View

3.
Ghandilyan A, Barboza L, Tisne S, Granier C, Reymond M, Koornneef M . Genetic analysis identifies quantitative trait loci controlling rosette mineral concentrations in Arabidopsis thaliana under drought. New Phytol. 2009; 184(1):180-192. DOI: 10.1111/j.1469-8137.2009.02953.x. View

4.
Yu D, Danku J, Baxter I, Kim S, Vatamaniuk O, Vitek O . High-resolution genome-wide scan of genes, gene-networks and cellular systems impacting the yeast ionome. BMC Genomics. 2012; 13:623. PMC: 3652779. DOI: 10.1186/1471-2164-13-623. View

5.
Hermans C, Porco S, Verbruggen N, Bush D . Chitinase-like protein CTL1 plays a role in altering root system architecture in response to multiple environmental conditions. Plant Physiol. 2009; 152(2):904-17. PMC: 2815904. DOI: 10.1104/pp.109.149849. View