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Bulletin of Botanical Research ›› 2018, Vol. 38 ›› Issue (2): 268-277.doi: 10.7525/j.issn.1673-5102.2018.02.015

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Cloning and Bioinformatics Analysis of Two bZIP Genes of Bambusa emeiensis and Their Induced Expression under Abiotic Stresses

GONG Dao-Yong1,2, HU Shang-Lian1,2, CAO Ying1,2, LU Xue-Qin1,2, ZHANG Qing-Bo1,2   

  1. 1. Lab of Plant Cell Engineering Southwest University of Science and Technology, Mianyang 621010;
    2. Engineering Research Center for Biomass Resource Utilizaiton and Modification of Sichuan Province, Mianyang 621010
  • Received:2017-06-06 Online:2018-03-15 Published:2018-03-23
  • Supported by:
    National Natural Science Foundation of China(31400333,31400257);Sichuan Province's 13th Five Key Breeding Project(2016NYZ0038);Key Research and Development Project of Sichuan Province, China(2017NZ0008);Graduate Innovation Project of Southwest University of Science and Technology(17ycx086)

Abstract: According to the transcriptome data of Bambusa emeiensis shoot, two bZIP genes designated as BebZIP2 and BebZIP6 were cloned and their bioinformatics were analyzed. The bioinformatics analysis results showed that the full-length cDNA sequence of BebZIP2 and BebZIP6 were 504 and 720 bp, and encoded 167 and 239 amino acids, respectively. BebZIPs and rice OsbZIP52/RISB5 proteins were clustered into the same branch, which were bZIP-related proteins. The tissue expression patterns of two BebZIP genes were analyzed by real-time PCR. Two BebZIP gene sequences were expressed in all shoots, stalks, unfolding leaves and rolled leaves of B.emeiensis. There were the expression differences of the same gene in the different tissues and expression quantity in the descending order was unfolding leaves, rolled leaves, stalks and shoots. The seedlings of B.emeiensis were treated with ABA, NaCl and PEG 6000 for abiotic stress analysis. The expression level of BebZIP2 and BebZIP6 genes treated by salt, drought and ABA stresses have different degree of sensitivity.

Key words: Bambusa emeiensis, bZIP transcription factors, bioinformatics analysis, tissue expression analysis, abiotic stresses

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