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A hydraulic signal in root‐to‐shoot signalling of water shortage

Christmann, Alexander, Weiler, Elmar W., Steudle, Ernst, Grill, Erwin·2007·The Plant Journal

Abstract

Summary: Photosynthesis and biomass production of plants are controlled by the water status of the soil. Upon soil drying, plants can reduce water consumption by minimizing transpiration through stomata, the closable pores of the leaf. The phytohormone abscisic acid (ABA) mediates stomatal closure, and is the assigned signal for communicating water deficit from the root to the shoot. However, our study does not support ABA as the proposed long‐distance signal. The shoot response to limited soil water supply is not affected by the capacity to generate ABA in the root; however, the response does require ABA biosynthesis and signalling in the shoot. Soil water stress elicits a hydraulic response in the shoot, which precedes ABA signalling and stomatal closure. Attenuation of the hydraulic response in various plants prevented long‐distance signalling of water stress, consistent with root‐to‐shoot communication by a hydraulic signal.

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Metadata

Authors
Christmann, A., Weiler, E. W., Steudle, E., & Grill, E.
Venue
The Plant Journal
Publisher
Wiley
Published
2007-07-27
Volume
52
Issue
1
Pages
167-174
ISSN
  • 0960-7412 (ISSN-L)
  • 1365-313X
OpenAlex
W1507104973
Cited by
546
References
0
FWCI
16.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A hydraulic signal in root‐to‐shoot signalling of water shortage. https://app.cochat.ai/papers/10.1111/j.1365-313x.2007.03234.x
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Christmann, A., Weiler, E. W., Steudle, E., & Grill, E. (2007). A hydraulic signal in root‐to‐shoot signalling of water shortage. The Plant Journal. https://doi.org/10.1111/j.1365-313x.2007.03234.x

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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.