Literature DB >> 24358874

A mutation in negative regulator of basal resistance WRKY17 of Arabidopsis increases susceptibility to Agrobacterium-mediated genetic transformation.

Benoît Lacroix1, Vitaly Citovsky1.   

Abstract

Agrobacterium is a phytopathogenic bacterium that induces crown gall disease in many plant species by transferring and integrating a segment of its own DNA (T-DNA) into its host genome. Whereas Agrobacterium usually does not trigger an extensive defense response in its host plants, it induces the expression of several defense-related genes and activates plant stress reactions. In the complex interplay between Agrobacterium and its host plant, Agrobacterium has evolved to take advantage of these plant defense pathways for its own purpose of advancement of the infection process. For example, Agrobacterium utilizes the host stress response transcriptional regulator VIP1 to facilitate nuclear import and proteasomal uncoating of its T-DNA during genetic transformation of the host cell. In Arabidopsis, the VIP1 gene expression is repressed by WRKY17, a negative regulator of basal resistance to Pseudomonas. Thus, we examined whether WRKY17 is also involved in plant susceptibility to genetic transformation by Agrobacterium. Using reverse genetics, we showed that a wrky17 mutant displays higher expression of the VIP1 gene in roots, but not in shoots. In a root infection assay, the wrky17 mutant plants were hyper-susceptible to Agrobacterium compared to wild type plants. WRKY17, therefore, may act as a positive regulator of Arabidopsis resistance to Agrobacterium. This notion is important for understanding the complex regulation of Agrobacterium-mediated genetic transformation; thus, although this paper reports a relatively small set of data that we do not plan to pursue further in our lab, we believe it might be useful for the broad community of plant pathologists and plant biotechnologists.

Entities:  

Year:  2013        PMID: 24358874      PMCID: PMC3799546          DOI: 10.12688/f1000research.2-33.v1

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


Introduction

The WRKY protein family is composed of at least 74 members in Arabidopsis thaliana [1]; they act as transcriptional regulators and participate mainly in the control of gene expression involved in the plant stress response, and, particularly, in the induction of gene expression by pathogen-derived elicitors. Arabidopsis WRKY17, together with another family member WRKY11, is a negative regulator of the basal defense response [2]. The wrky17 and wrky11 genes are usually induced during the defense response, and Arabidopsis loss-of-function mutants wrky17 and wrky11 display higher expression of numerous stress- or defense-related genes and show increased resistance to infection by Pseudomonas, but not by other pathogens. Thus, wrky17 and wrky11 have been suggested to play a role in the fine-tuning of the defense response, avoiding the effect of excessive reaction [2]. Among the target genes of wrky17/wrky11 is vip1, which is overexpressed in both wrky11 and wrky17 mutants [2]. VIP1 is a multifunctional bZIP transcription factor that stimulates stress- and defense-related gene expression by binding to a specific DNA hexamer motif present in many promoters that respond to activation of the MPK3 pathway [3], including the PR1 pathogenesis-related gene [4]. VIP1 might also be involved in other stress-dependent regulation pathways, such as osmosensory signaling [5]. Interestingly, the VIP1-related defense responses are activated during Agrobacterium-host plant interactions, and Agrobacterium has evolved to subvert them to facilitate the infection process [4, 6]. VIP1, a host protein initially discovered as an interacting partner of the Agrobacterium T-DNA packaging protein VirE2 [7], is involved in several critical aspects of plant genetic transformation by Agrobacterium. Specifically, VIP1 is thought to facilitate nuclear import of the T-DNA-protein complexes [7– 9], their targeting to the host chromatin [10– 12], and proteasomal uncoating of the T-DNA molecule from its associated proteins prior to integration [13– 15]. Thus, we investigated one of the VIP1-controlling WRKY mutants, wrky17, in regard to vip1 expression and the potential effects on Agrobacterium infection.

Results and discussion

VIP1 represents one of the target genes of WRKY17

A previous microarray analysis of the wrky17 mutant identified a number of upregulated genes [2], one of which, VIP1, represents a major player in plant genetic transformation by Agrobacterium [7, 10, 13]. However, microarray analyses of gene expression, although commonly used, often yield divergent data [16, 17] and, therefore, require direct confirmation by detection of the specific transcripts. Thus, we analyzed the wrky17 mutant for the levels of VIP1 expression. First, we examined three different lines of Arabidopsis plants derived from the wrky17-1 mutant [2] for the presence of the WRKY17 transcript using RT-PCR. Figure 1A shows that whereas the wild-type plants produced WRKY17 mRNA, neither of the mutant lines accumulated detectible levels of this transcript. Next, we investigated the effect of the wrky17 mutation on the expression of the VIP1 gene. Using RT-PCR, we analyzed the levels of the VIP1 transcript in plant roots ( Figure 1B) and shoots ( Figure 1C). The VIP1 transcription activity was substantially higher in the roots of all three wrky17 mutants than in those of wild type plants ( Figure 1B). Unexpectedly, we detected no changes in VIP1 expression in the shoots of the same plants, which accumulated VIP1 transcripts in amounts similar to those in the wild-type plants ( Figure 1C). Analysis of ACTin2-specific transcripts detected similar amounts of PCR products in all samples, indicating equal efficiencies of the RT-PCR reactions ( Figure 1B, C). Collectively, these data suggest that WRKY17 represents one of the transcriptional regulators of the VIP1 gene, but that this regulation is tissue-specific.
Figure 1.

RT-PCR analysis of ACTIN2, WRKY17 and VIP1 gene expression in wild-type and wrky17 mutant Arabidopsis plants.

( A) WRKY17 expression in whole plants. ( B, C) VIP1 expression in roots and shoots, respectively. WT, wild-type plants; 7, 12, and 13 are the three different lines of the homozygous wrky17-1 mutant.

RT-PCR analysis of ACTIN2, WRKY17 and VIP1 gene expression in wild-type and wrky17 mutant Arabidopsis plants.

( A) WRKY17 expression in whole plants. ( B, C) VIP1 expression in roots and shoots, respectively. WT, wild-type plants; 7, 12, and 13 are the three different lines of the homozygous wrky17-1 mutant. This is consistent with the previous observations of differential regulation of VIP1 expression during plant development as well as in response to various stimuli. For example, VIP1 transcription is activated upon induction of cell division [18], after osmotic stress, and is differentially expressed in different tissues of Arabidopsis [5]. WRKY17 functions as a transcription inhibitor of several genes involved in plant defense pathways [1]. Our results suggest that VIP1 is one of the target genes down-regulated, directly or indirectly, by WRKY17 in tissue-specific fashion. Alternatively, VIP1 expression in the shoot tissue could be regulated by additional factors which mask the effect of the WRKY17 knock-out mutation.

The wrky17 mutant is hypersusceptible to Agrobacterium-mediated genetic transformation

Once we had identified plant tissue showing a clear effect of WRKY17 on VIP1 expression, we investigated whether this effect altered susceptibility to Agrobacterium infection. To this end, we employed the classical Arabidopsis root infection assay [19], in which the efficiency of infection is monitored and quantified by measuring the level of transient T-DNA expression, that is early expression of the invading T-DNA molecules before their stable integration in the host genome. Root segments from the wild-type and wrky17 plants were inoculated with Agrobacterium strain EHA105 harboring the binary plasmid pBISN1 with the β-glucuronidase (GUS) gene expression reporter in its T-DNA region. T-DNA expression was quantified based on the percentage of root segments exhibiting GUS histochemical staining. These experiments revealed that T-DNA expression frequencies in roots of all three wrky17 mutant lines were 30–50% higher than those measured in roots of the wild-type plants ( Table 1 and Figure 2).
Table 1.

Number of root segments staining positive for β-glucuronidase (GUS).

Percentage (number of GUS positive root segments/total number of root segments).

LineExperiment 1Experiment 2Experiment 3Average
WT43.1% (53/123)44.7% (68/152)42.7% (56/131)43.5%
769.2% (72/104)61.5% (88/143)70.2% (80/114)67.0%
1259.5% (97/163)63.5% (61/96)63.8% (81/127)62.3%
1360.8% (79/130)54.1% (72/133)59.4% (60/101)58.1%
Figure 2.

The effect of wrky17 mutation on susceptibility of Arabidopsis roots to Agrobacterium infection.

Transformation efficiency is expressed as the percent of GUS-stained roots from the total number of roots tested. All data represent average values of three independent experiments with indicated standard deviations. WT, wild-type plants; 7, 12, and 13 are the three different lines of the homozygous wrky17-1 mutant.

The effect of wrky17 mutation on susceptibility of Arabidopsis roots to Agrobacterium infection.

Transformation efficiency is expressed as the percent of GUS-stained roots from the total number of roots tested. All data represent average values of three independent experiments with indicated standard deviations. WT, wild-type plants; 7, 12, and 13 are the three different lines of the homozygous wrky17-1 mutant.

Number of root segments staining positive for β-glucuronidase (GUS).

Percentage (number of GUS positive root segments/total number of root segments). The increased susceptibility of the wrky17 roots to Agrobacterium infection correlates with elevated transcription levels of the VIP1 gene in this tissue. Considering the known role of VIP1 as an enhancer of Agrobacterium infectivity [7– 15], it is likely that higher VIP1 expression in roots of the wrky17 mutant is responsible for the increased susceptibility to Agrobacterium. This notion is consistent with our earlier observations that overexpression of VIP1 in tobacco further elevates transformation efficiency [8]. That we detected this effect of the wrky17 mutation using a transient T-DNA expression assay indicates that increased VIP1 expression affects the early steps of the infection process, i.e., those that occur prior to T-DNA integration and stable expression.

Conclusion

We show here that the wrky17 mutant displays elevated VIP1 expression in its roots as well as increased susceptibility to Agrobacterium-induced genetic transformation. This correlation allows a new insight into the interactions between Agrobacterium and its host plants. Specifically, this interaction appears to be affected negatively by WRKY17 such that the infection process is enhanced in the loss-of-function wrky17 mutant. Thus, WRKY17 may represent one of the host factors that elevate resistance to Agrobacterium infection in different plant species and tissues that may vary widely in their susceptibility to Agrobacterium [20, 21]. This is unlike the known role of WRKY17 as a negative regulator of plant resistance to Pseudomonas [2]. Although this paper reports a relatively small set of data that we do not plan to pursue further in our lab, we believe its publication will be useful for the broad community of plant pathologists and plant biotechnologists.

Materials and methods

Transgenic plants

Arabidopsis thaliana plants, wild-type (ecotype Col0) or wrky17-1 T-DNA insertion mutants (obtained from D. Roby, CNRS Montpellier, France), were grown either in soil or on Gamborg’s B5 medium (20 g.L -1 sucrose, 8 g.L -1 agar), after seed surface sterilization. All plants were grown in an environment-controlled growth chamber at 22°C under long day (16h light/8h dark) conditions. Three lanes of homozygous plants (lanes 7, 12, 13) were isolated from the original wrky17-1 stock.

RT-PCR

Total RNA was extracted from plant tissues using Trizol (Invitrogen), and cDNA synthesis was performed with a RevertAid cDNA synthesis Kit (Fermentas) according to the manufacturer’s instructions. Transcript levels were then estimated by PCR, with 30 cycles of amplification. The resulting cDNA was PCR-amplified for 30 cycles using primers specific for the tested gene or for ACTIN2 as an internal control of a constitutively expressed gene. The following primer pairs were used: 5´ATGACCGTTGATATTATGCGTTTAC3´/5´TCAAGCCGAACCAAACACCAAAC3´ that amplify the full length 966-bp WRKY17 (At2g24570) cDNA, 5´ATGGAAGGAGGAGGAAGAGG3´/5´TCAGCCTCTCTTGGTGAAATCC3´ that amplify the full length 1,026-bp VIP1 cDNA, and 5´ATGGCTGAGGCTGATGATATT3´/5´TTAGAAACATTTTCTGTGAACGATTCC3´ that amplify the full length 1,134 bp ACTIN2 (At3g18780) cDNA.

Root transformation assay

All infection assays were performed as described by Gelvin (2006) [19] with the Agrobacterium tumefaciens strain EHA105 (from S. Gelvin, Purdue University, USA), harboring a pBISN1 binary plasmid with an intron-containing GUS reporter gene that is not expressed in bacteria [22]. One-cm long root segments were excised from 3–4 week-old Arabidopsis plants grown on Gamborg’s B5 medium, and bundles of root segments were placed on the MS (Murashige and Skoog) medium. For each experiment, roots were pooled from more than 20 plants and divided into three bundles, each containing more than 100 root segments. Root bundles were overlaid with EHA105 harboring pBISN1 suspension culture at A 600 = 0.25 in NaCl 0.9%, and excess liquid was removed by pipette aspiration after 15 min of incubation. Root segments were then incubated for two days at 22°C under the long day conditions, rinsed in water containing 100 mg.L -1 timentine (BioWorld) to eliminate bacteria, and incubated for an additional three days on the MS medium supplemented with timentine. Root segments were then subjected to the GUS histochemical assay [23], with overnight incubation at 37°C, and the number of root segments displaying GUS staining was recorded. This is a very short report regarding a finding that may be important for some researchers. Even though the science is acceptable several things need to be changed. Genetic transformation normally refers to stable transformation. The authors have only looked at transient transformation which may or may not be stable (they could have tested this). Therefore, please change the title and the abstract to indicate transient transformation rather than just saying genetic transformation. All wild-type gene names should be in capital (e.g., WRKY17, WRKY 11, VIP1 etc,.). Only the mutants should be in small letters (e.g., wrky17). The authors mention that the VIP1 gene is induced substantially in the wrky17 mutant. However, to my eyes the induction is subtle (probably 2-3 fold). They could have done a better quantification using real-time RT-PCR. Please remove the word “substantial”. Please give the concentration of the Agrobacterium used for infection in CFU. I believe the antibiotic used should be “timetin” and not  “timentine I have read this submission. I believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. I have read this submission. I believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.
  23 in total

1.  Protein interactions involved in nuclear import of the Agrobacterium VirE2 protein in vivo and in vitro.

Authors:  Vitaly Citovsky; Anat Kapelnikov; Shachar Oliel; Nehama Zakai; Maria R Rojas; Robert L Gilbertson; Tzvi Tzfira; Abraham Loyter
Journal:  J Biol Chem       Date:  2004-04-28       Impact factor: 5.157

2.  The plant VirE2 interacting protein 1. a molecular link between the Agrobacterium T-complex and the host cell chromatin?

Authors:  Abraham Loyter; Joseph Rosenbluh; Nehama Zakai; Jianxiong Li; Stanislav V Kozlovsky; Tzvi Tzfira; Vitaly Citovsky
Journal:  Plant Physiol       Date:  2005-07       Impact factor: 8.340

3.  The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models.

Authors:  Leming Shi; Gregory Campbell; Wendell D Jones; Fabien Campagne; Zhining Wen; Stephen J Walker; Zhenqiang Su; Tzu-Ming Chu; Federico M Goodsaid; Lajos Pusztai; John D Shaughnessy; André Oberthuer; Russell S Thomas; Richard S Paules; Mark Fielden; Bart Barlogie; Weijie Chen; Pan Du; Matthias Fischer; Cesare Furlanello; Brandon D Gallas; Xijin Ge; Dalila B Megherbi; W Fraser Symmans; May D Wang; John Zhang; Hans Bitter; Benedikt Brors; Pierre R Bushel; Max Bylesjo; Minjun Chen; Jie Cheng; Jing Cheng; Jeff Chou; Timothy S Davison; Mauro Delorenzi; Youping Deng; Viswanath Devanarayan; David J Dix; Joaquin Dopazo; Kevin C Dorff; Fathi Elloumi; Jianqing Fan; Shicai Fan; Xiaohui Fan; Hong Fang; Nina Gonzaludo; Kenneth R Hess; Huixiao Hong; Jun Huan; Rafael A Irizarry; Richard Judson; Dilafruz Juraeva; Samir Lababidi; Christophe G Lambert; Li Li; Yanen Li; Zhen Li; Simon M Lin; Guozhen Liu; Edward K Lobenhofer; Jun Luo; Wen Luo; Matthew N McCall; Yuri Nikolsky; Gene A Pennello; Roger G Perkins; Reena Philip; Vlad Popovici; Nathan D Price; Feng Qian; Andreas Scherer; Tieliu Shi; Weiwei Shi; Jaeyun Sung; Danielle Thierry-Mieg; Jean Thierry-Mieg; Venkata Thodima; Johan Trygg; Lakshmi Vishnuvajjala; Sue Jane Wang; Jianping Wu; Yichao Wu; Qian Xie; Waleed A Yousef; Liang Zhang; Xuegong Zhang; Sheng Zhong; Yiming Zhou; Sheng Zhu; Dhivya Arasappan; Wenjun Bao; Anne Bergstrom Lucas; Frank Berthold; Richard J Brennan; Andreas Buness; Jennifer G Catalano; Chang Chang; Rong Chen; Yiyu Cheng; Jian Cui; Wendy Czika; Francesca Demichelis; Xutao Deng; Damir Dosymbekov; Roland Eils; Yang Feng; Jennifer Fostel; Stephanie Fulmer-Smentek; James C Fuscoe; Laurent Gatto; Weigong Ge; Darlene R Goldstein; Li Guo; Donald N Halbert; Jing Han; Stephen C Harris; Christos Hatzis; Damir Herman; Jianping Huang; Roderick V Jensen; Rui Jiang; Charles D Johnson; Giuseppe Jurman; Yvonne Kahlert; Sadik A Khuder; Matthias Kohl; Jianying Li; Li Li; Menglong Li; Quan-Zhen Li; Shao Li; Zhiguang Li; Jie Liu; Ying Liu; Zhichao Liu; Lu Meng; Manuel Madera; Francisco Martinez-Murillo; Ignacio Medina; Joseph Meehan; Kelci Miclaus; Richard A Moffitt; David Montaner; Piali Mukherjee; George J Mulligan; Padraic Neville; Tatiana Nikolskaya; Baitang Ning; Grier P Page; Joel Parker; R Mitchell Parry; Xuejun Peng; Ron L Peterson; John H Phan; Brian Quanz; Yi Ren; Samantha Riccadonna; Alan H Roter; Frank W Samuelson; Martin M Schumacher; Joseph D Shambaugh; Qiang Shi; Richard Shippy; Shengzhu Si; Aaron Smalter; Christos Sotiriou; Mat Soukup; Frank Staedtler; Guido Steiner; Todd H Stokes; Qinglan Sun; Pei-Yi Tan; Rong Tang; Zivana Tezak; Brett Thorn; Marina Tsyganova; Yaron Turpaz; Silvia C Vega; Roberto Visintainer; Juergen von Frese; Charles Wang; Eric Wang; Junwei Wang; Wei Wang; Frank Westermann; James C Willey; Matthew Woods; Shujian Wu; Nianqing Xiao; Joshua Xu; Lei Xu; Lun Yang; Xiao Zeng; Jialu Zhang; Li Zhang; Min Zhang; Chen Zhao; Raj K Puri; Uwe Scherf; Weida Tong; Russell D Wolfinger
Journal:  Nat Biotechnol       Date:  2010-07-30       Impact factor: 54.908

Review 4.  A case of promiscuity: Agrobacterium's endless hunt for new partners.

Authors:  Benoît Lacroix; Tzvi Tzfira; Alexander Vainstein; Vitaly Citovsky
Journal:  Trends Genet       Date:  2005-11-09       Impact factor: 11.639

Review 5.  Agrobacterium transformation of Arabidopsis thaliana roots: a quantitative assay.

Authors:  Stanton B Gelvin
Journal:  Methods Mol Biol       Date:  2006

6.  Agrobacterium induces expression of a host F-box protein required for tumorigenicity.

Authors:  Adi Zaltsman; Alexander Krichevsky; Abraham Loyter; Vitaly Citovsky
Journal:  Cell Host Microbe       Date:  2010-03-18       Impact factor: 21.023

7.  Increasing plant susceptibility to Agrobacterium infection by overexpression of the Arabidopsis nuclear protein VIP1.

Authors:  Tzvi Tzfira; Manjusha Vaidya; Vitaly Citovsky
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-17       Impact factor: 11.205

8.  Multiple copies of virG enhance the transient transformation of celery, carrot and rice tissues by Agrobacterium tumefaciens.

Authors:  C N Liu; X Q Li; S B Gelvin
Journal:  Plant Mol Biol       Date:  1992-12       Impact factor: 4.076

9.  VIP1 response elements mediate mitogen-activated protein kinase 3-induced stress gene expression.

Authors:  Andrea Pitzschke; Armin Djamei; Markus Teige; Heribert Hirt
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-09       Impact factor: 11.205

10.  GUS fusions: beta-glucuronidase as a sensitive and versatile gene fusion marker in higher plants.

Authors:  R A Jefferson; T A Kavanagh; M W Bevan
Journal:  EMBO J       Date:  1987-12-20       Impact factor: 11.598

View more
  3 in total

Review 1.  Plant reference genes for development and stress response studies.

Authors:  Joyous T Joseph; Najya Jabeen Poolakkalody; Jasmine M Shah
Journal:  J Biosci       Date:  2018-03       Impact factor: 1.826

Review 2.  Unmasking host and microbial strategies in the Agrobacterium-plant defense tango.

Authors:  Elizabeth E Hwang; Melinda B Wang; Janis E Bravo; Lois M Banta
Journal:  Front Plant Sci       Date:  2015-03-31       Impact factor: 5.753

Review 3.  The roles of bacterial and host plant factors in Agrobacterium-mediated genetic transformation.

Authors:  Benoît Lacroix; Vitaly Citovsky
Journal:  Int J Dev Biol       Date:  2013       Impact factor: 2.148

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.