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Cell
Article
License: Elsevier Non-Commercial
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Cell
Article . 2006
License: Elsevier Non-Commercial
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Cell
Article . 2006 . Peer-reviewed
License: Elsevier Non-Commercial
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Cell
Article . 2006
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Different Plant Hormones Regulate Similar Processes through Largely Nonoverlapping Transcriptional Responses

Authors: Nemhauser, Jennifer L.; Hong, Fangxin; Chory, Joanne;

Different Plant Hormones Regulate Similar Processes through Largely Nonoverlapping Transcriptional Responses

Abstract

Small-molecule hormones govern every aspect of the biology of plants. Many processes, such as growth, are regulated in similar ways by multiple hormones, and recent studies have revealed extensive crosstalk among different hormonal signaling pathways. These results have led to the proposal that a common set of signaling components may integrate inputs from multiple hormones to regulate growth. In this study, we tested this proposal by asking whether different hormones converge on a common set of transcriptional targets in Arabidopsis seedlings. Using publicly available microarray data, we analyzed the transcriptional effects of seven hormones, including abscisic acid, gibberellin, auxin, ethylene, cytokinin, brassinosteroid, and jasmonate. A high-sensitivity analysis revealed a surprisingly low number of common target genes. Instead, different hormones appear to regulate distinct members of protein families. We conclude that there is not a core transcriptional growth-regulatory module in young Arabidopsis seedlings.

Keywords

Cytokinins, Indoleacetic Acids, Transcription, Genetic, Biochemistry, Genetics and Molecular Biology(all), Arabidopsis Proteins, Arabidopsis, Cyclopentanes, Ethylenes, Gibberellins, Plant Growth Regulators, Gene Expression Regulation, Plant, Seedlings, Oxylipins, Regulatory Elements, Transcriptional, Growth Substances, Biomarkers, Abscisic Acid, Oligonucleotide Array Sequence Analysis, Signal Transduction

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    816
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
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    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
816
Top 0.1%
Top 1%
Top 0.1%
hybrid