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Iron uptake, translocation, and regulation in higher plants

Open access
Zhe Wang, Yijing Sun, Jiaoai Li, Yan Shangguan, Zhixin Liu, Sun Xuwu·2017·DOAJ (DOAJ: Directory of Open Access Journals)

Abstract

Iron is an essential micronutrient element for most living organisms. However,although iron is abundant in many soils,iron availability is very often limiting for plant growth. In addition,iron is potentially highly toxic to cells. Therefore,iron homeostasis needs to be strictly regulated. Higher plants have developed a complex regulatory network in their cells to control the uptake,translocation,transportation,and metabolism of Fe. Nongraminaceous and graminaceous plant species acquire iron from the soil through two distinct strategies based on iron reduction and iron chelation,respectively. The acquisition of iron by plants is regulated at several levels by local and systemic signals. The systemic signaling pathway appears to integrate multiple inputs from hormonal signals,NO signals,and the plant nutritional demand. This paper reviewed the molecular mechanisms by which these strategies depend and the factors that are responsible for inducing these strategies under iron deficiency.

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Metadata

Authors
Wang, Z., Sun, Y., Li, J., Shangguan, Y., Liu, Z., & Xuwu, S.
Venue
DOAJ (DOAJ: Directory of Open Access Journals)
Published
2017-02-01
OpenAlex
W4327841726
Cited by
724
References
0
FWCI
86.57
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Iron uptake, translocation, and regulation in higher plants. https://app.cochat.ai/papers/10.3969/j.issn.1000-5137.2017.05.018
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Wang, Z., Sun, Y., Li, J., Shangguan, Y., Liu, Z., & Xuwu, S. (2017). Iron uptake, translocation, and regulation in higher plants. DOAJ (DOAJ: Directory of Open Access Journals). https://doi.org/10.3969/j.issn.1000-5137.2017.05.018

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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.