Xin-Yuan Huang
Plant ionomics: from elemental profiling to environmental adaptation
Huang, Xin-Yuan; Salt, David E.
Authors
David E. Salt
Abstract
Ionomics is a high-throughput elemental profiling approach to study the molecular mechanistic basis underlying mineral nutrient and trace element composition (also known as the ionome) of living organisms. Since the concept of ionomics was first introduced more than 10 years ago, significant progress has been made in the identification of genes and gene networks that control the ionome. In this update, we summarize the progress made in using the ionomics approach over the last decade, including the identification of genes by forward genetics and the study of natural ionomic variation. We further discuss the potential application of ionomics to the investigation of the ecological functions of ionomic alleles in adaptation to the environment.
Citation
Huang, X.-Y., & Salt, D. E. (in press). Plant ionomics: from elemental profiling to environmental adaptation. Molecular Plant, 9(6), https://doi.org/10.1016/j.molp.2016.05.003
Journal Article Type | Article |
---|---|
Acceptance Date | May 16, 2016 |
Online Publication Date | May 19, 2016 |
Deposit Date | Oct 11, 2016 |
Publicly Available Date | Oct 11, 2016 |
Journal | Molecular Plant |
Print ISSN | 1674-2052 |
Electronic ISSN | 1752-9867 |
Publisher | Oxford University Press |
Peer Reviewed | Peer Reviewed |
Volume | 9 |
Issue | 6 |
DOI | https://doi.org/10.1016/j.molp.2016.05.003 |
Keywords | nutrient homeostasis; natural variation; ionomics; Arabidopsis thaliana; Casparian strip; adaptation |
Public URL | https://nottingham-repository.worktribe.com/output/789374 |
Publisher URL | http://www.sciencedirect.com/science/article/pii/S1674205216300594 |
Contract Date | Oct 11, 2016 |
Files
Huang and Salt 2016.pdf
(295 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search