The leaf ionome as a multivariable system to detect a plant's physiological status

Ivan R. Baxter, Olga Vitek, Brett Lahner, Balasubrarnaniarn Muthukumar, Monica Borghi, Joe Morrissey, Mary Lou Guerinot, David E. Salt

Research output: Contribution to journalArticle

138 Citations (Scopus)

Abstract

The contention that quantitative profiles of biomolecules contain information about the physiological state of the organism has motivated a variety of high-throughput molecular profiling experiments. However, unbiased discovery and validation of biomolecular signatures from these experiments remains a challenge. Here we show that the Arabidopsis thaliana (Arabidopsis) leaf ionome, or elemental composition, contains such signatures, and we establish statistical models that connect these multivariable signatures to defined physiological responses, such as iron (Fe) and phosphorus (P) homeostasis. iron is essential for plant growth and development, but potentially toxic at elevated levels. Because of this, shoot Fe concentrations are tightly regulated and show little variation over a range of Fe concentrations in the environment, making them a poor probe of a plant's Fe status. By evaluating the shoot ionome in plants grown under different Fe nutritional conditions, we have established a multivariable ionomic signature for the Fe response status of Arabidopsis. This signature has been validated against known Fe-response proteins and allows the high-throughput detection of the Fe status of plants with a false negative/positive rate of 18%/16%. A "metascreen" of previously collected ionomic data from 880 Arabidopsis mutants and natural accessions for this Fe response signature successfully identified the known Fe mutants frd1 and frd3. A similar approach has also been taken to identify and use a shoot ionomic signature associated with P homeostasis. This study establishes that multivariable ionomic signatures of physiological states associated with mineral nutrient homeostasis do exist in Arabidopsis and are in principle robust enough to detect specific physiological responses to environmental or genetic perturbations.

Original languageEnglish
Pages (from-to)12081-12086
Number of pages6
JournalPNAS
Volume105
Issue number33
DOIs
Publication statusPublished - 19 Aug 2008

Keywords

  • Arabidopsis
  • biomarker
  • ionomics
  • multivariable signature
  • arabidopsis-thaliana
  • iron uptake
  • chelate reductase
  • phosphate
  • deficiency
  • cancer
  • transporter
  • biomarkers
  • responses
  • efflux

Cite this

Baxter, I. R., Vitek, O., Lahner, B., Muthukumar, B., Borghi, M., Morrissey, J., ... Salt, D. E. (2008). The leaf ionome as a multivariable system to detect a plant's physiological status. PNAS, 105(33), 12081-12086. https://doi.org/10.1073/pnas.0804175105

The leaf ionome as a multivariable system to detect a plant's physiological status. / Baxter, Ivan R.; Vitek, Olga; Lahner, Brett; Muthukumar, Balasubrarnaniarn; Borghi, Monica; Morrissey, Joe; Guerinot, Mary Lou; Salt, David E.

In: PNAS, Vol. 105, No. 33, 19.08.2008, p. 12081-12086.

Research output: Contribution to journalArticle

Baxter, IR, Vitek, O, Lahner, B, Muthukumar, B, Borghi, M, Morrissey, J, Guerinot, ML & Salt, DE 2008, 'The leaf ionome as a multivariable system to detect a plant's physiological status', PNAS, vol. 105, no. 33, pp. 12081-12086. https://doi.org/10.1073/pnas.0804175105
Baxter IR, Vitek O, Lahner B, Muthukumar B, Borghi M, Morrissey J et al. The leaf ionome as a multivariable system to detect a plant's physiological status. PNAS. 2008 Aug 19;105(33):12081-12086. https://doi.org/10.1073/pnas.0804175105
Baxter, Ivan R. ; Vitek, Olga ; Lahner, Brett ; Muthukumar, Balasubrarnaniarn ; Borghi, Monica ; Morrissey, Joe ; Guerinot, Mary Lou ; Salt, David E. / The leaf ionome as a multivariable system to detect a plant's physiological status. In: PNAS. 2008 ; Vol. 105, No. 33. pp. 12081-12086.
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