Literature DB >> 24871256

Comprehensive analysis of VQ motif-containing gene expression in rice defense responses to three pathogens.

Na Li1, Xianghua Li, Jinghua Xiao, Shiping Wang.   

Abstract

KEY MESSAGE: Expression levels of rice VQ motif-containing genes in response to pathogen infection vary among pathogens, and some of the genes are co-expressed with defense-response WRKY genes. Recent studies have revealed that some VQ (FxxxVQxLTG) motif-containing proteins in plants partner with WRKY transcription factors to participate in their functions. Accumulating information suggests that WRKY proteins play important roles in the response of rice plants to pathogen infection. However, the functions of rice VQ motif-containing proteins are unknown. To explore whether VQ motif-containing proteins are involved in defense against pathogens in rice, we performed a comprehensive expression analysis of the genes for these proteins. The rice VQ motif-containing family consists of 40 genes, all of which encode proteins harboring a 21-amino acid VQ-containing motif, which in turn contains the known VQ motif. On the basis of their phylogenetic relationships and tissue-specific and developmental stage-specific expression characteristics, we transcriptionally analyzed 13 representative genes in rice responses to three pathogens: Xanthomonas oryzae pv. oryzae, which causes bacterial blight disease; X. oryzae pv. oryzicola, which causes bacterial streak disease; and Magnaporthe oryzae, which causes fungal blast disease. The expression of some of the genes changed markedly in response to infection by at least one of the pathogen species, and some of the genes also showed markedly different expression in resistant and susceptible reactions. In addition, some defense-responsive VQ motif-containing genes were co-expressed with defense-response WRKY genes. These results provide a new perspective on the putative roles of rice VQ motif-containing proteins and their putative WRKY partners in rice-pathogen interactions.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24871256     DOI: 10.1007/s00299-014-1633-4

Source DB:  PubMed          Journal:  Plant Cell Rep        ISSN: 0721-7714            Impact factor:   4.570


  42 in total

1.  Cytoscape: a software environment for integrated models of biomolecular interaction networks.

Authors:  Paul Shannon; Andrew Markiel; Owen Ozier; Nitin S Baliga; Jonathan T Wang; Daniel Ramage; Nada Amin; Benno Schwikowski; Trey Ideker
Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

Review 2.  Crosstalk between abiotic and biotic stress responses: a current view from the points of convergence in the stress signaling networks.

Authors:  Miki Fujita; Yasunari Fujita; Yoshiteru Noutoshi; Fuminori Takahashi; Yoshihiro Narusaka; Kazuko Yamaguchi-Shinozaki; Kazuo Shinozaki
Journal:  Curr Opin Plant Biol       Date:  2006-06-08       Impact factor: 7.834

3.  Xa3, conferring resistance for rice bacterial blight and encoding a receptor kinase-like protein, is the same as Xa26.

Authors:  Yi Xiang; Yinglong Cao; Caiguo Xu; Xianghua Li; Shiping Wang
Journal:  Theor Appl Genet       Date:  2006-08-25       Impact factor: 5.699

4.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

Review 5.  Protein-protein interactions in the regulation of WRKY transcription factors.

Authors:  Yingjun Chi; Yan Yang; Yuan Zhou; Jie Zhou; Baofang Fan; Jing-Quan Yu; Zhixiang Chen
Journal:  Mol Plant       Date:  2013-03-02       Impact factor: 13.164

Review 6.  Toward an understanding of the molecular basis of quantitative disease resistance in rice.

Authors:  Yanjun Kou; Shiping Wang
Journal:  J Biotechnol       Date:  2011-07-20       Impact factor: 3.307

7.  A dynamic gene expression atlas covering the entire life cycle of rice.

Authors:  Lei Wang; Weibo Xie; Ying Chen; Weijiang Tang; Jiangyi Yang; Rongjian Ye; Li Liu; Yongjun Lin; Caiguo Xu; Jinghua Xiao; Qifa Zhang
Journal:  Plant J       Date:  2009-12-09       Impact factor: 6.417

8.  OsWRKY28, a PAMP-responsive transrepressor, negatively regulates innate immune responses in rice against rice blast fungus.

Authors:  Tetsuya Chujo; Koji Miyamoto; Takeo Shimogawa; Takafumi Shimizu; Yuko Otake; Naoki Yokotani; Yoko Nishizawa; Naoto Shibuya; Hideaki Nojiri; Hisakazu Yamane; Eiichi Minami; Kazunori Okada
Journal:  Plant Mol Biol       Date:  2013-03-06       Impact factor: 4.076

Review 9.  Rice versus Xanthomonas oryzae pv. oryzae: a unique pathosystem.

Authors:  Haitao Zhang; Shiping Wang
Journal:  Curr Opin Plant Biol       Date:  2013-03-04       Impact factor: 7.834

10.  A comprehensive expression analysis of the WRKY gene superfamily in rice plants during defense response.

Authors:  Hak-Seung Ryu; Muho Han; Sang-Kyu Lee; Jung-Il Cho; Nayeon Ryoo; Sunggi Heu; Youn-Hyung Lee; Seong Hee Bhoo; Guo-Liang Wang; Tae-Ryong Hahn; Jong-Seong Jeon
Journal:  Plant Cell Rep       Date:  2006-03-10       Impact factor: 4.570

View more
  22 in total

1.  Genome-wide analysis of VQ motif-containing proteins in Moso bamboo (Phyllostachys edulis).

Authors:  Yujiao Wang; Huanlong Liu; Dongyue Zhu; Yameng Gao; Hanwei Yan; Yan Xiang
Journal:  Planta       Date:  2017-04-17       Impact factor: 4.116

2.  A Moso bamboo gene VQ28 confers salt tolerance to transgenic Arabidopsis plants.

Authors:  Xinran Cheng; Yujiao Wang; Rui Xiong; Yameng Gao; Hanwei Yan; Yan Xiang
Journal:  Planta       Date:  2020-04-21       Impact factor: 4.116

3.  Genome-wide analysis of valine-glutamine motif-containing proteins related to abiotic stress response in cucumber (Cucumis sativus L.).

Authors:  Nan Shan; Zijin Xiang; Jingyu Sun; Qianglong Zhu; Yao Xiao; Putao Wang; Xin Chen; Qinghong Zhou; Zengyu Gan
Journal:  BMC Plant Biol       Date:  2021-10-25       Impact factor: 4.215

4.  RNA-Seq analysis of resistant and susceptible potato varieties during the early stages of potato virus Y infection.

Authors:  Aymeric Goyer; Launa Hamlin; James M Crosslin; Alex Buchanan; Jeff H Chang
Journal:  BMC Genomics       Date:  2015-06-20       Impact factor: 3.969

5.  Transcriptome dynamic of Arabidopsis roots infected with Phytophthora parasitica identifies VQ29, a gene induced during the penetration and involved in the restriction of infection.

Authors:  Jo-Yanne Le Berre; Mathieu Gourgues; Birgit Samans; Harald Keller; Franck Panabières; Agnes Attard
Journal:  PLoS One       Date:  2017-12-27       Impact factor: 3.240

6.  Overexpression of OsERF48 causes regulation of OsCML16, a calmodulin-like protein gene that enhances root growth and drought tolerance.

Authors:  Harin Jung; Pil Joong Chung; Su-Hyun Park; Mark Christian Felipe Reveche Redillas; Youn Shic Kim; Joo-Won Suh; Ju-Kon Kim
Journal:  Plant Biotechnol J       Date:  2017-03-27       Impact factor: 9.803

7.  Knockdown of GmVQ58 encoding a VQ motif-containing protein enhances soybean resistance to the common cutworm (Spodoptera litura Fabricius).

Authors:  Xiao Li; Rui Qin; Qing Du; Linyan Cai; Dezhou Hu; Haiping Du; Hui Yang; Jiao Wang; Fang Huang; Hui Wang; Deyue Yu
Journal:  J Exp Bot       Date:  2020-05-30       Impact factor: 6.992

8.  OsVQ1 links rice immunity and flowering via interaction with a mitogen-activated protein kinase OsMPK6.

Authors:  Peilun Wang; Juan Li; Zhenzhen Zhang; Qinglu Zhang; Xianghua Li; Jinghua Xiao; Haigang Ma; Shiping Wang
Journal:  Plant Cell Rep       Date:  2021-08-09       Impact factor: 4.570

9.  Genome-Wide Identification of VQ Motif-Containing Proteins and their Expression Profiles Under Abiotic Stresses in Maize.

Authors:  Weibin Song; Haiming Zhao; Xiangbo Zhang; Lei Lei; Jinsheng Lai
Journal:  Front Plant Sci       Date:  2016-01-05       Impact factor: 5.753

10.  Valine-glutamine (VQ) motif coding genes are ancient and non-plant-specific with comprehensive expression regulation by various biotic and abiotic stresses.

Authors:  Shu-Ye Jiang; Mayalagu Sevugan; Srinivasan Ramachandran
Journal:  BMC Genomics       Date:  2018-05-09       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.