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JXB Advance Access originally published online on March 1, 2006
Journal of Experimental Botany 2006 57(5):1097-1107; doi:10.1093/jxb/erj098
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© The Author [2006]. Published by Oxford University Press [on behalf of the Society for Experimental Biology]. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org

RESEARCH PAPER

Dissecting salt stress pathways

Shisong Ma1, Qingqiu Gong1 and Hans J. Bohnert1,2,*

1Department of Plant Biology, University of Illinois at Urbana-Champaign, 1201 W Gregory Drive, Urbana, IL 61801, USA
2Department of Crop Sciences, University of Illinois at Urbana-Champaign, 1201 W Gregory Drive, Urbana, IL 61801, USA

* To whom correspondence should be addressed. E-mail: bohnerth{at}life.uiuc.edu

Upon salt-stress treatment, Arabidopsis mobilizes a complex set of pathways that includes alterations in the regulation of gene expression and metabolic adjustments that attempt to establish a new energetic and developmental equilibrium. The responses share common elements with reactions to many other stresses, such as challenges by osmotic fluctuations, pathogens, mechanical interference, or cold stress. Also, hormones, such as ABA, ethylene, and jasmonic acid, play important roles in salt-stress signalling and adaptation. Publicly available and our own transcript profiling data are used here to dissect gene regulation under salt stress in A. thaliana Col-0. Applying the clustering method ‘fuzzy k-means clustering’ on 1500 strongly regulated genes, the salt-stress response could be categorized into distinct segments. Fewer than 25% of the regulated genes are salt stress-specific, while the majority also responded to other stresses and/or hormone treatments. Significantly, roots and shoots showed differences in hormone responsiveness, and early and late responses correlated with different signalling events. A network begins to emerge, revealing the basis of cross-talk between high salinity and other stresses.

Key words: Arabidopsis thaliana Col-0, cross-talk, fuzzy k-means clustering, salinity, transcript profiles


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