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Cited by 287

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Physiological characterization of Mg deficiency in Arabidopsis thaliana

Hermans, Christian, Verbruggen, Nathalie·2005·Journal of Experimental Botany

Abstract

Although the symptoms of magnesium deficiency are well documented in plants, the primary physiological effects of low Mg availability remain largely unknown. This paper describes the physiological responses of Mg starvation in Arabidopsis thaliana. Growth characteristics, Mg and sugar concentration, and photochemical performance were measured at regular intervals during the induction of Mg deficiency. These data show that Mg deficiency increased the sugar concentration and altered sucrose export from young source leaves before any noticeable effect on photosynthetic activity was seen. The decline in photosynthetic activity might be elicited by increased leaf sugar concentrations. Transcript levels of Cab2 (encoding a chlorophyll a/b protein) were lower in Mg-deficient plants before any obvious decrease in the chlorophyll concentration. These transcriptional data suggest that the reduction of chlorophyll is a response to sugar levels, rather than a lack of Mg atoms for chelating chlorophyll.

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Metadata

Authors
Hermans, C., & Verbruggen, N.
Venue
Journal of Experimental Botany
Published
2005-06-27
Volume
56
Issue
418
Pages
2153-2161
ISSN
  • 0022-0957 (ISSN-L)
  • 1460-2431
OpenAlex
W2171438903
Cited by
287
References
30
FWCI
1.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Physiological characterization of Mg deficiency in Arabidopsis thaliana. https://app.cochat.ai/papers/10.1093/jxb/eri215
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Hermans, C., & Verbruggen, N. (2005). Physiological characterization of Mg deficiency in Arabidopsis thaliana. Journal of Experimental Botany. https://doi.org/10.1093/jxb/eri215

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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.