Literature DB >> 16759898

Crosstalk between abiotic and biotic stress responses: a current view from the points of convergence in the stress signaling networks.

Miki Fujita1, Yasunari Fujita, Yoshiteru Noutoshi, Fuminori Takahashi, Yoshihiro Narusaka, Kazuko Yamaguchi-Shinozaki, Kazuo Shinozaki.   

Abstract

Plants have evolved a wide range of mechanisms to cope with biotic and abiotic stresses. To date, the molecular mechanisms that are involved in each stress has been revealed comparatively independently, and so our understanding of convergence points between biotic and abiotic stress signaling pathways remain rudimentary. However, recent studies have revealed several molecules, including transcription factors and kinases, as promising candidates for common players that are involved in crosstalk between stress signaling pathways. Emerging evidence suggests that hormone signaling pathways regulated by abscisic acid, salicylic acid, jasmonic acid and ethylene, as well as ROS signaling pathways, play key roles in the crosstalk between biotic and abiotic stress signaling.

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Year:  2006        PMID: 16759898     DOI: 10.1016/j.pbi.2006.05.014

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  487 in total

1.  Genome-wide transcriptomic analysis of cotton under drought stress reveal significant down-regulation of genes and pathways involved in fibre elongation and up-regulation of defense responsive genes.

Authors:  Kethireddy Venkata Padmalatha; Gurusamy Dhandapani; Mogilicherla Kanakachari; Saravanan Kumar; Abhishek Dass; Deepak Prabhakar Patil; Vijayalakshmi Rajamani; Krishan Kumar; Ranjana Pathak; Bhupendra Rawat; Sadhu Leelavathi; Palakolanu Sudhakar Reddy; Neha Jain; Kasu N Powar; Vamadevaiah Hiremath; Ishwarappa S Katageri; Malireddy K Reddy; Amolkumar U Solanke; Vanga Siva Reddy; Polumetla Ananda Kumar
Journal:  Plant Mol Biol       Date:  2011-12-07       Impact factor: 4.076

Review 2.  Risk-taking plants: anisohydric behavior as a stress-resistance trait.

Authors:  Nir Sade; Alem Gebremedhin; Menachem Moshelion
Journal:  Plant Signal Behav       Date:  2012-07-01

3.  Proteomic alterations of Brassica napus root in response to boron deficiency.

Authors:  Zhifang Wang; Zhenhua Wang; Lei Shi; Lijun Wang; Fangsen Xu
Journal:  Plant Mol Biol       Date:  2010-08-07       Impact factor: 4.076

4.  A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series.

Authors:  Oliver Stegle; Katherine J Denby; Emma J Cooke; David L Wild; Zoubin Ghahramani; Karsten M Borgwardt
Journal:  J Comput Biol       Date:  2010-03       Impact factor: 1.479

5.  Functional characterization of four APETALA2-family genes (RAP2.6, RAP2.6L, DREB19 and DREB26) in Arabidopsis.

Authors:  Sowmya Krishnaswamy; Shiv Verma; Muhammad H Rahman; Nat N V Kav
Journal:  Plant Mol Biol       Date:  2010-11-11       Impact factor: 4.076

Review 6.  MAPK machinery in plants: recognition and response to different stresses through multiple signal transduction pathways.

Authors:  Gohar Taj; Payal Agarwal; Murray Grant; Anil Kumar
Journal:  Plant Signal Behav       Date:  2010-11-01

7.  Disruption of abscisic acid signaling constitutively activates Arabidopsis resistance to the necrotrophic fungus Plectosphaerella cucumerina.

Authors:  Andrea Sánchez-Vallet; Gemma López; Brisa Ramos; Magdalena Delgado-Cerezo; Marie-Pierre Riviere; Francisco Llorente; Paula Virginia Fernández; Eva Miedes; José Manuel Estevez; Murray Grant; Antonio Molina
Journal:  Plant Physiol       Date:  2012-10-04       Impact factor: 8.340

8.  Resistance to Botrytis cinerea in sitiens, an abscisic acid-deficient tomato mutant, involves timely production of hydrogen peroxide and cell wall modifications in the epidermis.

Authors:  Bob Asselbergh; Katrien Curvers; Soraya C Franca; Kris Audenaert; Marnik Vuylsteke; Frank Van Breusegem; Monica Höfte
Journal:  Plant Physiol       Date:  2007-06-15       Impact factor: 8.340

9.  The interplay between ROS and tubulin cytoskeleton in plants.

Authors:  Pantelis Livanos; Basil Galatis; Panagiotis Apostolakos
Journal:  Plant Signal Behav       Date:  2014-02-12

10.  Machine learning-based differential network analysis: a study of stress-responsive transcriptomes in Arabidopsis.

Authors:  Chuang Ma; Mingming Xin; Kenneth A Feldmann; Xiangfeng Wang
Journal:  Plant Cell       Date:  2014-02-11       Impact factor: 11.277

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