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Cited by 295

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Abscisic acid regulation of gene expression during water‐deficit stress in the era of the Arabidopsis genome

Open access
Bray, E. A.·2002·Plant, Cell & Environment

Abstract

Changes in gene expression may lead to cellular adaptation of water‐deficit stress, yet all of the induced mRNAs may not play this role. Changes in gene expression must be signalled by transduction mechanisms that first sense a water deficit. This first step triggers changes in gene expression that function to synthesize additional signals such as abscisic acid (ABA). The enzymes involved in ABA biosynthesis have been cloned and their regulation during water‐deficit stress is being characterized. Once ABA levels are increased, further signalling mechanisms are initiated to signal new gene expression patterns that are proposed to play a role in cellular adaptation to water‐deficit stress. As the genome of Arabidopsis is now completed, much more information can be exploited to characterize these responses.

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Crossref · 10.1046/j.1365-3040.2002.00746.x

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Metadata

Authors
Bray, E. A.
Venue
Plant, Cell & Environment
Publisher
Wiley
Published
2002-02
Volume
25
Issue
2
Pages
153-161
ISSN
  • 0140-7791 (ISSN-L)
  • 1365-3040
OpenAlex
W2123739922
Cited by
295
References
45
FWCI
14.72
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Abscisic acid regulation of gene expression during water‐deficit stress in the era of the Arabidopsis genome. https://app.cochat.ai/papers/10.1046/j.1365-3040.2002.00746.x
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Bray, E. A. (2002). Abscisic acid regulation of gene expression during water‐deficit stress in the era of the Arabidopsis genome. Plant, Cell & Environment. https://doi.org/10.1046/j.1365-3040.2002.00746.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.