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http://dx.doi.org/10.5010/JPB.2016.43.3.347

Identification of multiple key genes involved in pathogen defense and multi-stress tolerance using microarray and network analysis  

Kim, Hyeongmin (Department of Biology, Chungbuk National University)
Moon, Suyun (Department of Biology, Chungbuk National University)
Lee, Jinsu (Department of Biology, Chungbuk National University)
Bae, Wonsil (Department of Biology, Chungbuk National University)
Won, Kyungho (Pear Research Institute, National Institute of Horticultural & Herbal Science, Rural Development Administration)
Kim, Yoon-Kyeong (Pear Research Institute, National Institute of Horticultural & Herbal Science, Rural Development Administration)
Kang, Kwon Kyoo (Department of Horticulture, Hankyong National University)
Ryu, Hojin (Department of Biology, Chungbuk National University)
Publication Information
Journal of Plant Biotechnology / v.43, no.3, 2016 , pp. 347-358 More about this Journal
Abstract
Brassinosteroid (BR), a plant steroid hormone, plays key roles in numerous growth and developmental processes as well as tolerance to both abiotic and biotic stress. To understand the biological networks involved in BR-mediated signaling pathways and stress tolerance, we performed comparative genome-wide transcriptome analysis of a constitutively activated BR bes1-D mutant with an Agilent Arabidopsis $4{\times}44K$ oligo chip. As a result, we newly identified 1,091 (562 up-regulated and 529 down-regulated) significant differentially expressed genes (DEGs). The combination of GO enrichment and protein network analysis revealed that stress-related processes, such as metabolism, development, abiotic/biotic stress, immunity, and defense, were critically linked to BR signaling pathways. Among the identified gene sets, we confirmed more than a 6-fold up-regulation of NB-ARC and FLS2 in bes1-D plants. However, some genes, including TIR1, TSA1 and OCP3, were down-regulated. Consistently, BR-activated plants showed higher tolerance to drought stress and pathogen infection compared to wild-type controls. In this study, we newly developed a useful, comprehensive method for large-scale identification of critical network and gene sets with global transcriptome analysis using a microarray. This study also showed that gain of function in the bes1-D gene can regulate the adaptive response of plants to various stressful conditions.
Keywords
Brassinosteroid; Plant stress tolerance; Pathogen; Network analysis;
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