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Copyright © 2009, American Society of Plant Biologists Department of Plant Pathology (X.D., Y.Z., X.C., W.-Y.S.) and Interdisciplinary Center for Biotechnology Research (F.Y., W.G.F.), University of Florida, Gainesville, Florida 32611; Department of Plant Pathology, University of California, Davis, California 95616 (T.R., Y.S.S., L.E.B., M.C., R.B., P.C.R.); Plant Science Initiative, University of Nebraska, Lincoln, Nebraska 68588 (M.C., M.E.F.); Botany and Plant Sciences, University of California, Riverside, California 92521 (H.F., M.X., X.Z., S.K., R.A.S., J.-K.Z.); United States Department of Agriculture-Agricultural Research Service, Appalachian Fruit Research Station, Kearneysville, West Virginia 25430 (C.D.); Department of Biological Sciences, Purdue University, West Lafayette, Indiana 47907 (Y.L., H.J., M.G.); and Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China (L.Z.) *Corresponding author; e-mail wsong/at/ifas.ufl.edu. 2Present address: Plant Biotech Institute, NRC, 110 Gymnasium Place, Saskatoon, Saskatchewan, Canada S7N 0W9. Received August 20, 2008; Accepted December 18, 2008. This article has been cited by other articles in PMC.Abstract Plants uniquely contain large numbers of protein kinases, and for the vast majority of the 1,429 kinases predicted in the rice (Oryza sativa) genome, little is known of their functions. Genetic approaches often fail to produce observable phenotypes; thus, new strategies are needed to delineate kinase function. We previously developed a cost-effective high-throughput yeast two-hybrid system. Using this system, we have generated a protein interaction map of 116 representative rice kinases and 254 of their interacting proteins. Overall, the resulting interaction map supports a large number of known or predicted kinase-protein interactions from both plants and animals and reveals many new functional insights. Notably, we found a potential widespread role for E3 ubiquitin ligases in pathogen defense signaling mediated by receptor-like kinases, particularly by the kinases that may have evolved from recently expanded kinase subfamilies in rice. We anticipate that the data provided here will serve as a foundation for targeted functional studies in rice and other plants. The application of yeast two-hybrid and TAPtag analyses for large-scale plant protein interaction studies is also discussed. Protein kinases play a key role in regulating nearly all aspects of cellular processes, including growth, differentiation, and defense. After sequencing the genomes of Arabidopsis (Arabidopsis thaliana) and rice (Oryza sativa), 1,027 and 1,429 protein kinases, respectively, have been identified, representing more than 3% of the annotated proteins encoded by each genome (http://plantsp.genomics.purdue.edu/; http://rkd.ucdavis.edu/). The number of protein kinases identified in rice alone is almost three times the number of those found in the human (Homo sapiens) genome (Manning et al., 2002) and is similar to the combined total of the 1,800 protein kinases found in human, mouse (Mus musculus), fruit fly (Drosophila melanogaster), nematode (Caenorhabditis elegans), and yeast (Saccharomyces cerevisiae) genomes (http://kinase.com/). Therefore, rice offers a rich source of material for studying kinase-regulated cell signaling as well as for the molecular mechanisms of kinome expansion (Shiu et al., 2004). Although plant kinomes are large, only a limited number of kinases have been functionally characterized. Examples include a number of receptor-like kinases (RLKs) and receptor-like cytoplasmic kinases (RLCKs), which control pathogen recognition and plant development (Morris and Walker, 2003; Morillo and Tax, 2006; Chinchilla et al., 2007a; Afzal et al., 2008). Other examples are several SNF1-related kinases (SnRKs) involved in the regulation of metabolism, development, and stress responses (Gong et al., 2004; Lu et al., 2007; Polge and Thomas, 2007) and a few mitogen-activated protein kinases (MAPKs) and their regulatory kinases (Jonak et al., 2002; Hamel et al., 2006; Colcombet and Hirt, 2008). It has been well documented that many kinases function through their interactions with other proteins. For instance, the Arabidopsis receptor kinases BRI1 and BAK1 bind to each other, and both are involved in brassinosteroid signal transduction (Li et al., 2002; Nam and Li, 2002). In addition to BRI1, BAK1 forms a complex with the receptor kinase FLS2 in response to the stimulation of bacterial flagellin (Chinchilla et al., 2007b; Heese et al., 2007). In the resistance to the bacterial pathogen Xanthomonas oryzae pv oryzae, XA21-mediated resistance is regulated by a number of the XA21-binding proteins (Wang et al., 2006; Park et al., 2008; Peng et al., 2008). During salt stress, the SnRK protein SOS2 interacts with SOS3, a novel EF-hand Ca2+ sensor with a sequence similar to the regulatory calcineurin B subunit from yeast (Halfter et al., 2000; Gong et al., 2004). In Brassica, the ARC1 protein interacts with the S receptor kinase to control self-incompatibility (Gu et al., 1998). Aside from these studies, the precise function and the protein binding partners for the vast majority of plant kinases are unknown. A major focus of functional genomics is mapping cellular protein-protein interaction networks on a large scale. The information generated from these studies not only establishes links between well-characterized proteins but also reveals potential functions of uncharacterized proteins when their interacting partners have known functions: the “guilt by association” principle (Hazbun and Fields, 2001). To generate such databases of protein interactions, a number of high-throughput approaches have been developed (Phizicky et al., 2003; Zhu et al., 2003). Among them, yeast two-hybrid analysis is a robust method for detecting pair-wise protein-protein interactions in a cellular setting (Nodzon and Song, 2004; Parrish et al., 2006). It has been estimated that over half of the protein interactions reported in the literature were originally identified by yeast two-hybrid analyses (Xenarios et al., 2002). Notably, all of the protein-kinase interactions mentioned above can be detected by yeast two-hybrid analysis. The viability of this approach relies on low cost, simple manipulation, and sensitive detection. To date, yeast two-hybrid analysis has been used to systematically analyze protein-protein interactions in several model organisms, including yeast, bacteria, Drosophila, C. elegans, Plasmodium falciparum, and human (Uetz et al., 2000; Ito et al., 2001; Rain et al., 2001; Giot et al., 2003; Li et al., 2004; LaCount et al., 2005; Rual et al., 2005; Lim et al., 2006; Parrish et al., 2007; Sato et al., 2008; Shimoda et al., 2008). The resulting databases of protein-protein interactions continue to be a valuable resource for understanding signaling networks in various organisms. Unlike gene expression studies, protein-protein interaction data sets are notoriously difficult to verify, yeast two-hybrid interaction being no exception. This has been attributed in part to the complexity and sometimes transient nature of protein-protein interactions themselves and not necessarily to inherent error in the methods used. Yeast two-hybrid screening is particularly notorious for producing high rates of false positives based on both the inability to reproduce identified interactions upon yeast retransformation and to confirm those using alternative methods such as coimmunoprecipitation. While the former can be controlled through additional screening steps, the latter poses a practical limitation that hinders the calculation of actual false-positive rates. Therefore, it is critical to eliminate as many false positives as possible by testing the reproducibility of all candidate interactions in retransformed yeast cells (Vidalain et al., 2004). However, many large-scale yeast two-hybrid analyses do not include these verification steps because the yeast plasmid isolation, propagation in Escherichia coli, and retransformation into yeast are costly and time-consuming when performed on a large scale. We previously developed a cost-effective yeast two-hybrid recovery/retransformation system using rolling-circle amplification (RCA; Ding et al., 2003, 2004, 2007). This system allows one to inexpensively and efficiently test reproducibility and specificity of the interactions on a large scale in yeast. We have conducted two-hybrid analyses with 204 representative rice kinases using this system. Among them, 22 kinases autoactivated the His3 reporter in the absence of a prey plasmid and 66 kinases yielded no interactors. Here, we report a yeast two-hybrid-based protein interaction network for 116 rice kinases consisting of 378 kinase-protein interactions. These interactions support a number of hypotheses for the functions of these kinases and their interacting partners. RESULTS AND DISCUSSION Selection of Kinase Targets and Bait Design The rice kinome is composed of kinases from six of the seven known protein kinase groups: AGC (PKA, PKG, and PKC kinases), CAMK (calcium/calmodulin-dependent protein kinase), CK1 (casein kinase 1), CMGC (containing the CDK, MAPK, GSK3, and CLK families), STE (homologs of yeast sterile 7, sterile 11, and sterile 20 kinases), TKL (tyrosine kinase-like, which includes MLKs [mixed lineage kinases], transforming growth factor-β receptor kinases, and Raf kinases), and other kinases (Manning et al., 2002; Shiu et al., 2004; Dardick and Ronald, 2006). Plants lack known members of the tyrosine kinase group. Approximately 75% (1,068) of rice kinases, within the TKL group, are members of the RLK/Pelle family, which is related to the Drosophila Pelle and the human interleukin-1 receptor-associated kinase (IRAK) families (Shiu et al., 2004). The rice RLK/Pelle family (also called the IRAK family) includes both RLKs and RLCKs, which have been further subdivided into nearly 70 subfamilies based on conserved domains and phylogenetic relationships (Shiu et al., 2004; Dardick and Ronald, 2006). A total of 204 representative kinases (15% of the kinome) were selected from all six kinase groups based, in part, on their proportion to the entire kinome and on their expression in leaves (Table I). Among these 204 kinases, 130 belong to the RLK/Pelle family (Table I).
These kinase-encoding open reading frames were amplified by reverse transcription-PCR and cloned into the Gateway entry vector pDONR207 as described previously (Rohila et al., 2006). For RLKs, only the intracellular kinase domains (including the juxtamembrane domain) were cloned. Through recombination, the cDNAs were individually fused in frame to the GAL4 DNA-binding domains in the bait vectors pXDGATcy86 and pXDGATU86 (see Ding et al., 2007, for vector details). RCA-Based Yeast Two-Hybrid Screening We conducted a large-scale yeast two-hybrid analysis using 204 representative rice kinases. Among the 204 rice kinases, 22 autoactivated the His3 reporter in the absence of a prey plasmid (Table I; Supplemental Table S1). Half of the 22 kinases (11) are members of the RLK/Pelle family. These 22 bait kinases were removed from further yeast two-hybrid analysis, and the remaining 182 were subjected to screening rice cDNA libraries to determine their interacting proteins (see “Materials and Methods”). To verify interactors identified from the initial library screening, we amplified the bait (on the pXDGATcy86 vector) and prey plasmids from the yeast cells capable of growing on selective medium using RCA. The amplified DNA was retransformed into fresh yeast cells containing either the empty pXDGATU86 vector or the same bait kinase carried by pXDGATU86. Both 2-amino-5-fluorobenzoic acid and the cycloheximide counterselections were used to eliminate the original pXDGATcy86-derived bait constructs (Ding et al., 2007). Only the prey that specifically bound to a bait kinase, not the empty GAL4 activation domain, was scored as a positive interactor. Using these criteria, almost two-thirds of the initial interactions were removed. Most of the discarded clones (approximately 80%) contain a rice cDNA that is not fused in frame to the activation domain of the GAL4 transcription factor in the prey vector. Therefore, they were unlikely to be genuine interactors. About 15% of these clones were putative DNA-binding proteins or transcription factors. The remaining 5% of the clones did not fall into either category. Among the 182 kinases used for library screenings, 116 yielded at least one interactor (Table I; Supplemental Table S2). The other 66 kinases that generated no interactors are listed in Supplemental Table S3. A Rice Kinase-Protein Interaction Map A total of 378 interactions composed of 254 distinct kinase interactors were identified (Supplemental Table S2). A kinase-protein interaction map was generated using the software Cytoscape 2.3.2 (http://www.cytoscape.org/; Supplemental Fig. S1A). The number of interactors for each bait kinase varies considerably, ranging from those having just a single interactor to those having up to 26 for a single bait kinase. For example, we identified 24 and 26 interactors for the SnRKs Os03g17980 and Os05g45420, respectively. Through the putative transcription factor OsEBP-98 (Os03g08460) and a putative DNA-binding protein (Os02g57200), these two SnRKs were linked to a network composed of 68 bait kinases and their 166 interacting proteins. The other 48 bait kinases and their 89 partners form discrete interaction networks. Many interactions in this map are supported by previous studies in rice and in other heterologous systems (see below for more discussion). Additional interactions include functionally uncharacterized kinases and/or unknown interacting proteins, which provides a resource to explore potentially novel associations in kinase-mediated signaling in the future. The sequences of the identified interacting partners also provide information on the domains that are responsible for binding to the kinases (Supplemental Table S2). Among the 254 interactors, 15% are putative DNA binding/transcription factors, 11% are protein kinases, and 9% are various metabolic enzymes (Supplemental Fig. S1B), suggesting broad roles for rice kinases in the regulation of gene expression, kinase cascades, and metabolic pathways. Three percent of the identified interactors were categorized as E3 ubiquitin ligases (Supplemental Fig. S1B), some of which interacted with multiple members of the RLK/Pelle family (see below for more discussion). In an attempt to assess the quality of our map, we examined six of the kinase-protein interactions in rice cells using a bimolecular fluorescence complementation (BiFC) system. This system is based on the formation of a fluorescent complex through the interaction of two proteins that are fused to nonfluorescent fragments of the yellow fluorescent protein (YFP; Hu and Kerppola, 2003). The BiFC system has been used to monitor protein-protein interactions in living plant cells in real time with high specificity and low background (Bracha-Drori et al., 2004; Bhat et al., 2006). Table II summarizes the BiFC results for the six kinase-interactor pairs that we selected for testing. Each protein was fused downstream (N-terminal fusions) to one of the two halves of YFP (YFPN-term and YFPC-term) and transiently expressed in protoplasts derived from etiolated rice seedlings (Bart et al., 2006). Complex formation between the two interacting proteins is indicated by reconstitution of YFP. As shown in Supplemental Figure S2, we detected interactions between four of the six pairs. Different pairs required different amounts of time to mature and give a clear YFP signal. For example, pair 1 showed a very strong signal in the cytoplasm and around the nucleus by 24 h after transformation, whereas pair 4 showed a weak interaction only at 24 h after transformation. For negative controls, we tested each fusion protein in the presence of the other half of YFP alone. That is, each YFPN-term interactor fusion construct was tested with YFPC-term (no fusion) and each YFPC-term interactor fusion construct was tested with YFPN-term (no fusion). Only one of the two negative controls is shown in Supplemental Figure S2, but for the pairs shown, no interactions between the unfused YFP segments were detected with either interactor. For pair 5 (Table II), we were unable to test the interaction, since the YFPC-term-bait fusion gives a YFP signal with the unfused YFPN-term construct, albeit a less intense one than when both interactors are present (data not shown). For pair 6 (Table II), we were unable to detect an interaction between this bait and prey with the N-terminal split-YFP fusions (data not shown). We tested both orientations without detecting an interaction (i.e. YFPN-term- and YFPC-term-bait with YFPC-term- and YFPN-term-prey). While these results do not necessarily provide an accurate estimate of the error in our interaction maps, they do provide evidence that a significant number of kinase-protein interactions identified by our yeast two-hybrid system are likely to also occur in rice cells.
RLK/Pelle Family Member-E3 Ubiquitin Ligase Interactions in Rice The RLK/Pelle family represents the largest group of kinases in rice and Arabidopsis. The number of predicted rice RLK/Pelle family members, however, is nearly twice as many as that of Arabidopsis. The additional rice members are thought to result from recent lineage-specific expansions of resistance/defense-related genes (Shiu et al., 2004; Dardick and Ronald, 2006). Part of the support for this hypothesis comes from the fact that three cloned rice disease resistance genes, Xa21, Xa3/Xa26, and Pi-d2, encode RLKs (Song et al., 1995; Sun et al., 2004; Chen et al., 2006; Xiang et al., 2006). It has been recognized that these three resistance proteins fall into the non-RD class of kinases, which lack the conserved arginine in kinase subdomain VI. An association between the non-RD motif and a role in pathogen recognition has been demonstrated, although some RD RLKs are also involved in resistance/defense response (Scheer and Ryan, 2002; Godiard et al., 2003; Diener and Ausubel, 2005; Hu et al., 2005; Llorente et al., 2005; Dardick and Ronald, 2006). To study RLK/Pelle-mediated signaling in rice, we selected 130 kinases representing 47 RLK/Pelle subfamilies and conducted two-hybrid screenings with 119 kinases (the remaining 11 can autoactivate the reporter; Table I). A total of 170 interactions were detected (Table I). One pattern that emerged from the identified interactions is that four phylogenetically distant RLKs (Os04g38480, Os07g35580, Os07g35260, and Os08g03020) bind to two closely related U-box/ARM proteins (Os08g01900 and Os01g66130; Fig. 1A
It has been reported that Arabidopsis PUB-ARM proteins interact with Arabidopsis and Brassica S-domain receptor kinases, and some of these interacting modules have been implicated in hormone response (Samuel et al., 2008). The function of the rice PUB-ARM proteins Os08g01900 and Os01g66130 is still unclear; however, they also interacted with the kinase domain of Pi-d2 (Fig. 1A In addition to the PUB-ARM proteins, our yeast two-hybrid screens identified two BTB/POZ (for bric-a-brac, tramtrack, and broad complex/pox virus and zinc finger) domain-containing proteins (Os06g31100 and Os03g57854) as common interactors of two sets of RLKs/RLCKs (Fig. 1A Taken together, we have identified 11 E3-binding RLK/Pelles (excluding XA21), which represent more than 9% of the 119 rice RLK/Pelle family members that have been subjected to our yeast two-hybrid screening in this study. Notably, eight of these 11 (73%) belong to recently expanded rice kinase subfamilies (RERKs), as compared with the fact that less than 43% of the 119 RLK/Pelles are RERKs (Fig. 1A Interactions between Components in the Rice MAPK Cascade The MAPK cascade is composed of three sequentially activated kinases: MAPKKK, MAPKK, and MAPK (Hamel et al., 2006). We found that the MAPKK OsMKK6 (Os01g32660) interacted with OsMPK4 (Os10g38950) and OsMPK6 (Os06g06090), which belong to groups A and B of the MAPK family, respectively (Fig. 2
In a separate yeast two-hybrid screen, OsMKK4 (Os02g54600) was linked to OsMPK3 (Os03g17700), which has been implicated in stress tolerance and host resistance (Fig. 2 A Cyclin-Dependent Kinase Cascade in Rice Cyclin-dependent kinases (CDKs) are key molecules in mediating cell cycle progression (Potuschak and Doerner, 2001). CDK activity is regulated by multiple mechanisms, including phosphorylation by CDK-activating kinases (CAK), association with cyclin subunits, and degradation of CDK inhibitors that associate with CDKs. We found that rice R2 (Os05g32600), the first plant CAK isolated (Hata, 1991), interacted with the rice kinase Os06g22820, which is orthologous to the Arabidopsis kinase CAK1At (Fig. 3
R2 can specifically phosphorylate Thr-161 and Thr-160 in the T-loop of the rice CDK Cdc2Os1 (Os03g02680; Yamaguchi et al., 1998; Vandepoele et al., 2002). When Cdc2Os1 and a nearly identical kinase (Os03g01850; 98% identity, 98% similarity) were used as bait, a rice protein (Os03g05300) orthologous to the evolutionarily conserved CDK subunits (CKS) was identified to interact with these two kinases (Fig. 3 Proteins Associated with Rice SnRKs The yeast SNF1 and its mammalian homolog AMP-activated protein kinase (AMPK) function as metabolic sensors to protect cells from environmental and nutritional stresses (Polge and Thomas, 2007). SNF1 and AMPK form stable heterotrimeric complexes consisting of a catalytic subunit (SNF1/AMPKα) and two regulatory subunits (SIP1/SIP2/GAL83/AMPKβ and SNF4/AMPKγ). Unlike yeast and mammals, plants carry a large family of SNF1-related kinases classified into three subgroups (SnRK1, SnRK2, and SnRK3; Hrabak et al., 2003). Eighteen rice SnRKs were used for library screening and yielded 82 interactions (Fig. 4
As expected, two members of the SnRK1 family, Os03g17980 and Os05g45420, interacted with two proteins related to the SNF1/AMPK/SnRK1 β-subunits (Os05g41220 and Os09g20010), and the interactions between Os05g45420 and Os05g41220 were confirmed in vivo (Fig. 4 Os03g17980 and Os05g45420 also interacted with a protein (Os03g63940) homologous to the Arabidopsis AKINβγ (At1g09020; 67% identity, 80% similarity) and maize (Zea mays) ZmAKINβγ-1 (AF276085; 85% identity, 93% similarity) proteins that form a plant-specific class of regulator proteins (Fig. 4 Ten rice SnRK2s are known as osmotic stress/ABA-activated protein kinases (SAPKs) 1 to 10 (Kobayashi et al., 2004). We found that SAPK4 and SAPK6 interacted with OREB1, a protein related to bZIP transcription factors/ABA-responsive element-binding factors, and the SAPK4-OREB1 interactions were confirmed to occur in the cytoplasm of rice mesophyll protoplasts by the BiFC system (Fig. 4 Nine kinases of the rice SnRK3 subfamily were used as bait to screen for binding proteins. Among them, four (Os05g04550, Os11g02240, Os01g60910, and Os01g10890) interacted with one or both of two closely related rice proteins (Os12g06510 and Os12g40510) that belong to the family of the SOS3-like Ca2+ sensor/binding proteins (ScaBPs, also referred to as calcineurin B-like proteins [CBLs]; Fig. 4 Interactions with a Rice LAMMER Kinase LAMMER kinases are one of two families of kinases that can phosphorylate and regulate Ser/Arg-rich (SR) proteins in RNA splicing (Reddy, 2004; Isshiki et al., 2006). We found that a rice LAMMER kinase (Os01g62080) interacted with four SR proteins (SCL30a, SCL30b, RSZp23, and Os06g50890) that all possess a RNA recognition motif (RRM) and an Arg/Ser-rich (RS) domain (Fig. 5
The CK2 Protein Complex CK2 (formerly known as casein kinase II), a kinase essential for cell viability, forms a tetrameric complex with two catalytic (α and α′) subunits and a dimeric β-subunit (Meggio and Pinna, 2003). The rice CK2 kinase II α-subunit-like protein Os07g02350 contains the conserved HIKE domain (Olsten et al., 2005). As expected, a CK2 β-subunit (Os07g31280) was identified as an interactor of Os07g02350 (Supplemental Table S2). This observation has been supported in a TAPtag study in planta (Rohila et al., 2006). Kinases Associated with Putative Transcription Regulators We have previously shown that the XA21 RLK binds to a WRKY-type transcription factor, suggesting that XA21 may be directly involved in regulating gene expression (Peng et al., 2008). Interestingly, among the 254 identified kinase interactors, 15% appear to be putative DNA binding/transcription factors, further supporting a role for kinase regulation of transcription factors (Supplemental Fig. S1B). Examples from our data set include the OREB1-SAPK interactions described above and the interactions between the rice TOUSLED-like kinase Os03g53880 and the protein Os01g08680 (Supplemental Table S2). The Arabidopsis TOUSLED kinase, required for leaf and flower development, is capable of oligomerizing and interacting with the C-terminal portion of the SANT/myb domain protein TKI1 (Roe et al., 1997; Ehsan et al., 2004). Os03g53880 exhibits 62% identity (74% similarity) to TOUSLED, whereas Os01g08680 shares homology to the C-terminal half (amino acids 210–741) of TKI1 (AF530160; 28% identity, 40% similarity). Our interaction results support that Os03g53880 may be orthologous to the Arabidopsis TOUSLED kinase. Comparison of the Yeast Two-Hybrid and TAPtag Approaches We used both yeast two-hybrid and TAPtag methods to identify proteins associated with the same set of rice kinases (Rohila et al., 2006; this study). In addition to the interactions described above, the resulting information obtained also allows assessment of these two methods to study protein interactions in plants. TAPtag identified a greater number of proteins when a protein complex was relatively abundant and stable. For example, in the broadly conserved CDK (Os03g02680) and CAK (Os05g32600) complexes, 17 components were found by TAPtag analyses (Rohila et al., 2006). In contrast, the yeast two-hybrid approach identified only three interactors for these two kinases (Fig. 3 Comparative analysis reveals that there is little overlap between the two protein-kinase interaction data sets generated by the yeast two-hybrid and TAPtag assays. Among the 93 kinases that have been analyzed, only four common kinase-binding proteins (Os07g12780, Os09g20010, Os03g63940, and Os07g31280) were identified by these two methods (Rohila et al., 2006). This could reflect the differences between the rice tissues used for these two assays and the fact that whereas TAPtag analyses identify proteins that indirectly associate with a kinase, the yeast two-hybrid analysis detects only those proteins that interact directly (see “Materials and Methods”; Rohila et al., 2006). This could also be attributed to the fact that many protein-kinase interactions in vivo rely on the phosphorylation status of the proteins and/or the kinases, which may be regulated by developmental program and environmental stimuli. Another reason is that both assays likely miss many interactors (also known as false negatives). Similar situations could occur when BiFC assays are used to verify the interactions identified by yeast two-hybrid analyses. There has also been little overlap in the data sets in large scale protein-protein interaction studies in yeast. For instance, of the 80,000 yeast protein associations detected or predicted by various approaches, including yeast two-hybrid and TAPtag, only approximately 2,400 were supported by more than one method (von Mering et al., 2002). In two genome-wide yeast two-hybrid screens using the same 6,000 yeast open reading frames, only about 10% of the interactions were identified as having common characteristics (Ito et al., 2002). When the two-hybrid data sets were compared with the protein complex data sets generated by TAPtag, only 7% of the interactions were identified by both methods (Gavin et al., 2002). Likewise, the protein complex data sets obtained from two distinct purification techniques (TAPtag versus high-throughput mass spectrometric protein complex identification) shared only 10% of the common proteins detected (Gavin et al., 2002; Ho et al., 2002; Ito et al., 2002). It has been estimated that the false-negative rate for high-throughput screens could be more than 80% (Stanyon et al., 2004). In our system, only two MAPKK-MAPK interactions were identified when eight out of 15 rice MAPKs were subjected to library screenings. If a given MAPK interacts with at least one MAPKK, the false-negative rate for the system could be more than 75%. These assessments indicate the limitation of each method used for studying protein-protein interactions, thus supporting the idea that distinct techniques are required to obtain the information necessary to unravel the complex interactome in a cell (von Mering et al., 2002; Zhu et al., 2003). Protein kinases are involved in crucial steps along numerous cell signaling pathways, ranging from the proximal receptors that perceive external signals to the distal kinases that directly regulate transcription factors. The identification of the proteins associated with 116 kinases using yeast two-hybrid analyses is an important step toward understanding the global signaling network regulated by rice kinases. Because of the presence of false positives and negatives, and the inability to calculate reliable positive and negative discovery rates, caution is needed when using some of the data. However, the large-scale nature of the protein interaction data set allows for exploration of the patterns of kinase-protein interactions in rice and provides a basis for future functional characterization of these interactions. This can be particularly significant because rice has a much larger kinome size and most plant RLKs have Ser/Thr specificity that differs from the receptor Tyr kinases predominantly present in animals. Finally, our comparison of the overlap of the TAPtag and yeast two-hybrid methods supports the strategy of using complementary screening methods to find greater numbers of interacting proteins to more fully develop interaction networks. This strategy and the tools developed from this and previous studies (Rohila et al., 2006) should facilitate large-scale proteomics work in rice and in other plants. MATERIALS AND METHODS Cloning of Rice Kinase Genes Total RNA was isolated from rice (Oryza sativa ‘Nipponbare’) leaves using Trizol reagent (Invitrogen). First-strand cDNA was synthesized using RETROscript reverse transcriptase (Ambion). PCR was performed to quantify the amount of cDNA synthesized. The cDNA products were amplified using LA Taq DNA polymerase (LA PCR Kit, version 2.1; Takara Mirus Bio). The PCR primers contained the attB1 and attB2 sequences for cloning PCR products into pDONR207 by BP reaction (Gateway; Invitrogen). Primers were designed using Primer3 Input software (http://frodo.wi.mit.edu/cgi-bin/primer3/primer3.cgi). The forward primer contained an ATG starting codon, and the reverse primer had a termination codon to synthesize a cDNA clone without a 5′ untranslated region and a 3′ untranslated region. The 5′ open reading frame was in frame with the upstream Gateway reading frame (AttB1 forward: 5′-GGGGACAAGTTTGTACAAAAAAGCAGGCTCAACCATG, where ATG is the translation initiation codon). For the RLKs, extracellular and transmembrane domains were excluded and only the cytoplasmic kinase region was amplified. All amplified kinase clones were verified by sequencing. Construction of Rice cDNA Libraries Three rice cDNA libraries were prepared. The first was constructed from the japonica cv Taipei309. Two- to 3-week-old rice seedlings were treated by cold (4°C for 24 h), heat (42°C for 6 h), benzothiadiazole (3 mm three times per 48 h), salt (100, 200, and 300 mm NaCl for 12 h), drought (air dried for 2 h), or the plant hormone ABA (0.1 mm three times per 24 h). Equal amounts of tissue from entire plants were harvested and combined to isolate RNA. Up to 50 μg of mRNA was purified using the Poly(A)Purist mRNA purification kit (Ambion). A rice cDNA library was constructed using the mRNA and the HybriZAP-2.1 XR library construction kit (Stratagene). The titer of the library is approximately 2.8 million plaque-forming units, with an average insert size of 1.6 kb. The second library was made from 3- to 6-week-old indica plants, cv IRBB21, carrying the resistance gene Xa21 (Chern et al., 2001). RNA used for making the library was isolated from leaf tissue harvested after inoculation with Xanthomonas oryzae pv oryzae Philippine Race 6. The third library was generated from 3-week-old leaves of japonica cv Moroberekan. Yeast Two-Hybrid Screens The detailed procedure for screening the libraries is described by Ding et al. (2007). Briefly, equal amounts of plasmid DNA recovered from the three cDNA libraries were combined and transformed into the yeast strain Y187. Transformants were harvested and aliquots were stored in a −80°C freezer. Rice kinases in pDONOR207 were converted into both pXDGATcy86 and pXDGATU86 vectors (Ding et al., 2007) using the Gateway LR Clonase Enzyme Mix (Invitrogen) according to the manufacturer's instructions. The resulting bait constructs were transformed into the yeast strain HF7c and subjected to testing for bait autoactivation. The kinases that did not autoactivate the His3 reporter were then used to screen the cDNA libraries. HF7c cells containing a pXDGATcy86-derived rice kinase were mated with the Y187 cells transformed with the cDNA libraries. Ten to 20 million zygotes were typically obtained and selected for their interacting proteins on a SD/-Leu-Trp-His + 2 mm 3-amino-1,2,4-triazole medium. After 10 d, the plasmids were rescued by RCA from the yeast colonies grown on selective medium. One portion of the RCA-amplified plasmids was used for prey sequencing, and the other portion was transformed into the yeast strain MaV203. After removing the pXDGATcy86-derived kinase bait by counterselection (Ding et al., 2007), the yeast cells were transformed with the same kinase cloned into the pXDGATU86 vector or with the pXDGATU86 empty vector. The transformants were then selected on a SD/-Leu-Trp-His + 50 mm 3-amino-1,2,4-triazole medium. Only a prey that showed a specific interaction with the bait, not with the activation domain, was scored as a positive interactor. DNA Sequencing and Analysis Sequencing templates were prepared directly from yeast or bacterial cultures using the TempliPhi DNA Sequencing Template Amplification method as specified by the manufacturer (GE Healthcare). Dye terminator DNA sequencing reactions utilized the primer SSO20 (5′-AGGGATGTTTAATACCACTAC-3′) and ET-Terminators from Amersham Biosciences. Sequence reactions were desalted by ethanol precipitation, dried, and resuspended in 10 μL of a 0.06% aqueous solution of Seakem Gold agarose (Cambrex) prior to electrokinetic injection. All DNA sequencing was performed on capillary array DNA sequencing units (MegaBACE 1000; GE Healthcare). To specify the identity of each prey, the Michigan State University Rice Genome Annotation Project Database and Resource (http://rice.plantbiology.msu.edu/; formerly hosted by The Institute for Genomic Research, Rockville, MD) was searched using the BLASTP algorithm. The European Molecular Biology Open Software Suite program “needle” was used to perform sequence alignment and to calculate the percentage of sequence identity and similarity. The PAUP (version 4.0b10) software package (Swofford, 2002) was used to conduct phylogenetic analyses. Neighbor joining was used to reconstruct the phylogenetic relationships of these amino acids. Bootstrap values were derived from 1,000 replicates to quantify the relative support for branches of the inferred phylogenetic tree. Split-YFP Assays We modified the split-YFP vectors developed by Bracha-Drori and colleagues (2004) to make them compatible with the Gateway system of Invitrogen. Simultaneously, we introduced a more typical flexible linker (G-G-G-G-S-G-G-G-G-S) and, for the YFPN-term vector (p736GC), a c-myc tag, since the original poly-Glu tag was reported to be ineffective (Bracha-Drori et al., 2004). First, pSY vectors were digested with SalI and BamHI and ligated with a synthetic DNA segment, introducing a blunt-ended restriction site unique to the vector (PmeI) and the flexible linker and tag. The resulting vectors were then cut and ligated with Gateway cassette reading frame C.1 to create p735GC [YFPC-term-HA tag-2X(G4S)-Gateway Cassette] and p736GC [YFPN-term-myc tag-2X(G4S)-Gateway Cassette]. Each bait and prey was previously cloned into pENTR and were recombined into the split-YFP vectors following the manufacturer's protocol (Invitrogen). Unless otherwise stated, baits were recombined into p735GC and preys into p736GC. After recombination, the junction sites and inserts were sequenced. We conducted split-YFP assays through transient transformation of protoplasts prepared from etiolated aboveground tissues of 7- to 14-d-old Kitaake rice plants, prepared essentially as described (Bart et al., 2006). To promote consistent seedling growth, rice seeds were surface sterilized for 25 min in 40% bleach prior to germination on medium containing 0.8% agar, 1× Murashige and Skoog medium, and 30% Suc. We found that transformation of protoplasts with the Gateway-compatible vectors containing the chloramphenicol resistance and ccdB genes supported reconstitution of YFP in the absence of interactors. Therefore, we used the original vectors (pSY736 and pSY735) developed by Bracha-Drori et al. (2004) as the empty, unfused vectors for negative control experiments. All microscopic images were generated using a Zeiss Axiovert 25 fluorescence microscope and taken with a Nikon D70s digital camera with the Nikon Capture 4 software. YFP fluorescence was visualized under the Zeiss YFP filter cube 46HE (excitation, BP500/25; beamsplitter, FT515; emission, BP535/30). YFP expression was monitored between 18 and 48 h after rice protoplast transformation. The accession numbers for the proteins from the other species are as follows: ZmSNF1, AAS59400; AKIN11, NP_974375; AKINα1, P92958; PpSNF1b, AAR03831; SNF1, A26030; MtSK1, AAV41843; SOS2, AAF62923; SOS3, AF060553; AtFHA1, AAF20220; AtFHA2, AAF20224; NtFHA1, AAL05884; FHL1, P39521; Cks-1, P61025; SUC1, CAA21308; and AHK3, NP_564276. Supplemental Data The following materials are available in the online version of this article.
[Supplemental Data]
Acknowledgments We thank Margaret Joyner and Terry Davoli for critical reading of the manuscript, Drs. Heidi Zhang and Kyle Gardenour for technical assistance, and Dr. Marc Vidal for providing the yeast strain MaV203. Notes 1This work was supported by the National Science Foundation (Plant Genome grant no. DBI–0217312). The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (www.plantphysiol.org) is: Wen-Yuan Song (wsong/at/ifas.ufl.edu). [W]The online version of this article contains Web-only data. [OA]Open Access articles can be viewed online without a subscription. References
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