The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Ionomics and the Study of the Plant Ionome
Abstract
The ionome is defined as the mineral nutrient and trace element composition of an organism and represents the inorganic component of cellular and organismal systems. Ionomics, the study of the ionome, involves the quantitative and simultaneous measurement of the elemental composition of living organisms and changes in this composition in response to physiological stimuli, developmental state, and genetic modifications. Ionomics requires the application of high-throughput elemental analysis technologies and their integration with both bioinformatic and genetic tools. Ionomics has the ability to capture information about the functional state of an organism under different conditions, driven by genetic and developmental differences and by biotic and abiotic factors. The relatively high throughput and low cost of ionomic analysis means that it has the potential to provide a powerful approach to not only the functional analysis of the genes and gene networks that directly control the ionome, but also to the more extended gene networks that control developmental and physiological processes that affect the ionome indirectly. In this review we describe the analytical and bioinformatics aspects of ionomics, as well as its application as a functional genomics tool.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Femtomolar Sensitivity of Metalloregulatory Proteins Controlling Zinc Homeostasis
Outten, C. E., & O'Halloran, A. T. V. (2001) · Science · doi:10.1126/science.1060331 · Cited by 1,489
Cited by
Selenium in higher plants: Understanding mechanisms for biofortification and phytoremediation
Zhu, Y.-G., Pilon-Smits, E. A. H., Zhao, F.-J., Williams, P. N., & Meharg, A. A. (2009) · Trends in Plant Science · doi:10.1016/j.tplants.2009.06.006 · Cited by 666
What Has Natural Variation Taught Us about Plant Development, Physiology, and Adaptation?
Alonso-Blanco, C., Aarts, M. G. M., Bentsink, L., Keurentjes, J. J. B., Reymond, M., Vreugdenhil, D., & Koornneef, M. (2009) · The Plant Cell · doi:10.1105/tpc.109.068114 · Cited by 478
Comparative physiology of elemental distributions in plants
Conn, S., & Gilliham, M. (2010) · Annals of Botany · doi:10.1093/aob/mcq027 · Cited by 344
Designing and interpreting ‘multi-omic’ experiments that may change our understanding of biology
Haas, R., Zelezniak, A., Iacovacci, J., Kamrad, S., Townsend, S., & Ralser, M. (2017) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2017.08.009 · Cited by 131
Marzi, D., Valente, F., Luche, S., Caissutti, C., Sabia, A., Capitani, I., Capobianco, G., Serranti, S., Masi, A., Panozzo, A., et al. (2025) · Science of The Total Environment · doi:10.1016/j.scitotenv.2024.178323 · Cited by 25
Metadata
- Authors
- Salt, D. E., Baxter, I., & Lahner, B.
- Venue
- Annual Review of Plant Biology
- Publisher
- Annual Reviews
- Published
- 2008-06-01
- Volume
- 59
- Issue
- 1
- Pages
- 709-733
- ISSN
- 1543-5008 (ISSN-L)
- 1545-2123
- OpenAlex
- W2171081522
- Cited by
- 605
- References
- 2
- FWCI
- 1.64
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ionomics and the Study of the Plant Ionome. https://app.cochat.ai/papers/10.1146/annurev.arplant.59.032607.092942
- The paper
- Salt, D. E., Baxter, I., & Lahner, B. (2008). Ionomics and the Study of the Plant Ionome. Annual Review of Plant Biology. https://doi.org/10.1146/annurev.arplant.59.032607.092942
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
