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Original Research ARTICLE

Front. Plant Sci., 17 August 2016 |

TALE-Like Effectors Are an Ancestral Feature of the Ralstonia solanacearum Species Complex and Converge in DNA Targeting Specificity

  • 1Center for Plant Molecular Biology, University of Tübingen, Tübingen, Germany
  • 2UMR Peuplements Végétaux et Bioagresseurs en Milieu Tropical, Centre de Coopération Internationale en Recherche Agronomique pour le Développement – Institut National de la Recherche Agronomique, Saint-Pierre, France

Ralstonia solanacearum, a species complex of bacterial plant pathogens divided into four monophyletic phylotypes, causes plant diseases in tropical climates around the world. Some strains exhibit a broad host range on solanaceous hosts, while others are highly host-specific as for example some banana-pathogenic strains. Previous studies showed that transcription activator-like (TAL) effectors from Ralstonia, termed RipTALs, are capable of activating reporter genes in planta, if these are preceded by a matching effector binding element (EBE). RipTALs target DNA via their central repeat domain (CRD), where one repeat pairs with one DNA-base of the given EBE. The repeat variable diresidue dictates base repeat specificity in a predictable fashion, known as the TALE code. In this work, we analyze RipTALs across all phylotypes of the Ralstonia solanacearum species complex. We find that RipTALs are prevalent in phylotypes I and IV but absent from most phylotype III and II strains (10/12, 8/14, 1/24, and 1/5 strains contained a RipTAL, respectively). RipTALs originating from strains of the same phylotype show high levels of sequence similarity (>98%) in the N-terminal and C-terminal regions, while RipTALs isolated from different phylotypes show 47–91% sequence similarity in those regions, giving rise to four RipTAL classes. We show that, despite sequence divergence, the base preference for guanine, mediated by the N-terminal region, is conserved across RipTALs of all classes. Using the number and order of repeats found in the CRD, we functionally sub-classify RipTALs, introduce a new simple nomenclature, and predict matching EBEs for all seven distinct RipTALs identified. We experimentally study RipTAL EBEs and uncover that some RipTALs are able to target the EBEs of other RipTALs, referred to as cross-reactivity. In particular, RipTALs from strains with a broad host range on solanaceous hosts cross-react on each other’s EBEs. Investigation of sequence divergence between RipTAL repeats allows for a reconstruction of repeat array biogenesis, for example through slipped strand mispairing or gene conversion. Using these studies we show how RipTALs of broad host range strains evolved convergently toward a shared target sequence. Finally, we discuss the differences between TALE-likes of plant pathogens in the context of disease ecology.


RipTALs from the bacterial plant pathogenic Ralstonia solanacearum species complex (Rssc) are homologs of the transcription activator-like effectors (TALEs) from the bacterial plant pathogen Xanthomonas (Boch and Bonas, 2010; de Lange et al., 2013). RipTALs, TALEs, Burkholderia Bat proteins and the MOrTL proteins from marine microorganisms all bind double-stranded DNA in a sequence-specific, predictable fashion and are collectively referred to as TALE-likes (de Lange et al., 2015). The central repeat domain (CRD) of TALE-likes confers DNA binding and is composed of a variable number of imperfect repeats arranged in tandem, with each repeat 33–35 amino acids in length. Repeat polymorphisms are mostly restricted to positions 12 and 13 in TALE repeats and these positions have thus been termed the repeat variable di-residue (RVD; Moscou and Bogdanove, 2009). In other TALE-likes variation between individual repeats is not restricted to the RVD residues, but nevertheless base preferences can be determined by the RVD-based TALE code (Deng et al., 2012; de Lange et al., 2013, 2014a,b, 2015; Mak et al., 2013). In addition to the RVD-defined base-preference of TALE-likes, the N-terminal regions (NTRs) of TALEs include sequence-degenerate repeat units known to exert a fixed base preference for thymine (T0), while the homologous region in RipTALs specifies a preference for guanine (G0) (Gao et al., 2012; de Lange et al., 2013).

RipTALs and TALEs are injected into host cells and are able to activate host genes that contain a matching effector binding element (EBE) in their promoter (Mukaihara et al., 2004; Mukaihara and Tamura, 2009; Boch and Bonas, 2010; de Lange et al., 2013). Gene activation is mediated by a transcriptional activation domain located in the C-terminal region (CTR; Van den Ackerveken et al., 1996; de Lange et al., 2013). To date, no RipTAL host target genes have been identified, but the analysis of TALEs has uncovered several examples of host genes that promote disease upon TALE-mediated activation and that have been designated as susceptibility (S) genes (Yang et al., 2006; Boch et al., 2014). As a consequence of plant–pathogen co-evolution some lineages within an otherwise susceptible plant species have evolved resistance (R) genes that consist of an EBE, embedded in a tightly regulated promoter, and a downstream-encoded executor R protein that triggers a defense reaction when expressed (Gu et al., 2005; Römer et al., 2007; Strauss et al., 2012; Tian et al., 2014; Wang et al., 2015; Zhang et al., 2015). The high similarity between the DNA segments encoding TALE repeats is assumed to provide the basis for rapid evolution of the CRD (Yang and Gabriel, 1995; Yang et al., 2005). Yet, the molecular basis of these changes are not well understood till now. The similarity between repeats is less pronounced in RipTALs than in TALEs (de Lange et al., 2013), suggesting that their evolutionary constraints are different.

Phylogenetically strains of the R. solanacearum species complex are classified into four phylotypes (I–IV) that are further sub-divided into sequevars. Assignment of a given strain to a phylotype or sequevar is based on the nucleotide sequence of a set of genomic Rssc reference loci (Fegan and Prior, 2005; Genin and Denny, 2012). Notably the four Rssc phylotypes have geographically separated origins. Phylotype I originated from Asia, phylotype II from the southern Americas, phylotype III is endemic on the African continent, and phylotype IV is found primarily in Indonesia and Oceania (Wicker et al., 2012). Recently, the R. solanacearum species complex has been divided into three separate taxonomic species (Safni et al., 2014; Prior et al., 2016). Phylotype II corresponds to the taxonomic species R. solanacearum. Phylotypes I and III, that exhibit a broad host range on solanaceous hosts, were assigned to the taxonomic species R. pseudosolanacearum and phylotype IV has been assigned the taxonomic species R. syzygii, divided into three subspecies (Safni et al., 2014; Prior et al., 2016).

Members of Rssc cause various plant diseases, but all involve an invasion of the vasculature and result in host death. The most prominent is bacterial wilt of solanaceous plants, caused by broad host-range strains. Other economically relevant Rssc-caused diseases include Moko (Southern America) and blood disease (Indonesia) of banana, caused by phylotype II and phylotype IV Rssc strains that have independently undergone host specialization (Remenant et al., 2011; Genin and Denny, 2012; Ailloud et al., 2015).

Effectors are generally important determinants of pathogen host-range and collectively the Rssc possesses an unusually large effector repertoire (pan-effectome; Peeters et al., 2013). However, the number of effectors present in every strain (core-effectome) is much smaller (Peeters et al., 2013). For example, the first sequenced phylotype I strain GMI1000 carries a total of 71 effectors (Peeters et al., 2013)

Studies on the diversity and function of RipTALs from Rssc were focused on phylotype I (Heuer et al., 2007; de Lange et al., 2013; Li et al., 2013), and thus little is known on RipTALs from other phylotypes. Previous work has shown type III secretion system-dependent translocation of phylotype I RipTALs and revealed that a ripTAL knockout in Rssc strain GMI1000 leads to reduced competitive fitness of the mutant strain in planta (Mukaihara et al., 2004; Mukaihara and Tamura, 2009; Macho et al., 2010).

In this work, we dissected the phylogenetic and functional diversity of RipTALs across the whole Rssc. We predict and experimentally study RipTAL EBEs and uncover that some RipTALs are able to target the EBEs of other RipTALs, a phenomenon that we refer to as cross-reactivity. Notably RipTALs within a given cross-reactivity group typically originate from strains with the same host specialization, suggesting conserved RipTAL host targets within these strain groups. Finally, inspection of ripTAL CRDs uncovers unique, thus far not recognized patterns in their sequence composition. Those patterns facilitate the identification of mechanisms, such as slipped-strand mispairing and segmental gene conversion, shaping the ripTAL CRD, uncovering major differences between ripTAL and TALE CRD regarding their evolution. Our insights provide the basis for a better understanding of the evolutionary constraints shaping TALE-likes and should enable us to anticipate changes in these effectors and thus foster design of durable synthetic R genes mediating recognition of TALE-likes.

Materials and Methods

Strain Selection

We acquired genomic DNA from strains covering all four phylotypes of the Rssc and representing a broad geographic distribution (Supplementary Table S1). The rationale behind strain selection differed depending on the phylotype.

Phylotype II

This taxonomic species is large and well studied compared to other phylotypes, but based on available genome sequences ripTALs are apparently restricted to banana infecting strains in this phylotype. These include strain Molk2 (Remenant et al., 2010) from Indonesia, for which the ripTAL has been previously described (Li et al., 2013) as well as Grenada91 with a partially assembled ripTAL (Ailloud et al., 2015). In order to confirm these findings for phylotype II we studied a set of five strains, including three for which genome sequence is available, among them Molk2, known to contain a ripTAL (Li et al., 2013), and two others (K60, UW551) previously shown to not contain ripTALs.

Phylotypes I and III

We had previously studied RipTALs of phylotype I strains from China (de Lange et al., 2013) and focused our attention for this study on phylotype I strains from Mayotte Island in the Indian Ocean. This population has a broad host range, infecting diverse solanaceous crops, and is well characterized. The strains included in our analysis span all Mayotte sequevars [subclades within phylotypes (Genin and Denny, 2012)].

Phylotype III strains occur predominantly in Africa and, in contrast to the other phylotypes, are poorly studied. No ripTALs have been reported for phylotype III strains. We therefore placed particular emphasis on this phylotype, screening 23 strains from seven countries, nine hosts and at least nine sequevars (some strains await sequevar assignment, Supplementary Table S1).

Phylotype IV

Phylotype IV is predominately found in Indonesia and Oceania. Some strains of this phylotype display an unusual degree of host-specificity compared to other Rssc strains (Remenant et al., 2011; Ailloud et al., 2015). These include banana-infecting Blood Disease Bacterium [BDB, also classified as Ralstonia syzygii subsp. celebesensis (Safni et al., 2014)], and clove-infecting strains [classified as R. syzygii subsp. syzygii (Remenant et al., 2011; Safni et al., 2014)]. BDB strain R229 and tomato infecting strain Psi07 (RUN83) have previously been indicated to contain full-length ripTALs based on genome sequences. We analyzed 14 phylotype IV strains, with an emphasis on host-specialized strains of the subspecies syzygii and celebesensis.

PCR Screening of gDNAs for, and Cloning of ripTALs into In planta Expression Vectors

Genomic DNA of Rssc strains was extracted using Wizards® gDNA extraction kit (Promega). Primers allPT-F and -R were designed based on ripTAL sequences found in public genomes (sequences available1 Peeters et al., 2013). PCRs to screen for ripTALs were performed with primers allPT-F and allPT–R (Supplementary Table S2), using Phusion polymerase (NEB) in GC buffer (NEB), supplemented with 20% preCESI (Ralser et al., 2006) and PCR clean up (Fermentas) was performed if a fragment >1.5 kb was visible on an Agarose gel. PCR products were sequenced using primers allPTRepF and R (Supplementary Table S2). Sequencing produced clear peaks, indicating that a single gene was amplified. Repeats were annotated to identify the RVD composition. The sequence of ripTALIII-1 was elucidated by genome walking (Leoni et al., 2011) from the CRD toward NTR (5′) and CTR (3′).

RipTAL genes with RVD compositions not previously described, were amplified from genomic DNA with class specific primers (Supplementary Table S2), generating BsaI flanked fragments while removing internal BsaI recognition sites after cut-ligation into pENTR-CACC-GW-AAGG (de Lange et al., 2014b). Cloned RipTALs were validated by sanger sequencing and transferred into pGWB641 (Nakamura et al., 2010) via an LR Gateway cloning reaction (Life Technologies).

ripTAL sequences have been deposited at ENA and are accessible with accessions LN874044-63.

Prediction and Cloning of Effector Binding Elements into the Bs3 Promoter

Effector binding elements were predicted using the RipTAL code (de Lange et al., 2013), which closely matches the TALE code. In the case of RipTAL repeats with previously uncharacterized RVDs, data from TALE DNA binding domains was used (Boch et al., 2009; Moscou and Bogdanove, 2009; Miller et al., 2015). EBEs were cloned as described previously (de Lange et al., 2013) and subsequently transferred into pENTR-ccdB-uidA via cut-ligation.

Protoplast Transfection

Arabidopsis thaliana root cell culture was maintained as described (Li et al., 2010). Protoplasts were pelleted by centrifugation at 50 × g for 5 min and resuspended in MM (0,4 M Mannitol, 5 mM MES, pH 6) at a cell density of 107 cells per ml. Thirty microliters of protoplasts were transferred into wells of a 2 ml deep well plate together with 3 μg of RipTAL expression plasmid, 3 μg of GUS-reporter plasmid and 1 μg of luciferase expression plasmid. Thirty microliters of PEG1500 were added to each well and mixed gently. After incubation for 5 min 30 μl of MM were to each well added to stop the transformation. Then 300 μl of K3 (Schütze et al., 2009) were added to each well and the plate was sealed with parafilm and stored at 21°C in the dark.

Twenty hours after transfection 1.7 ml of MMg (MM with 15 mM MgCl2) were added to each well and cells were pelleted at 400 × g for 10 min at room temperature. Supernatant was removed to leave 70 μl volume. Protoplasts were lysed in 70 μl of 2x Cell culture lysis reagent (Promega, plus 1 Roche EDTA-free protease inhibitor tablet per 20 ml) on ice by pipetting up and down 10 times per well, whilst avoiding the introduction of air bubbles. One hundred microliters of lysed protoplasts were transferred into a PCR plate and stored on ice for 30 min. After centrifugation at 4000 × g for 30 min at 4°C the supernatant was transferred into a new plate and used to determine Luciferase and GUS activity in a plate reader (Berthold). GUS enzyme activity was measured as 4-MU fluorescence (excitation at 355 nm, emission at 460 nm) at 37°C over 80 min for 10 μl of protoplast supernatant in 90 μl GUS buffer (100 mM Tris-HCl, 2 mM MgCl2, 4 mM 4MUG at pH 8.2). A single reading of Luciferase activity was carried out with 50 μl of reconstituted Promega luciferase assay reagent injected into 10 μl of protoplast supernatant.

Data Analysis of Protoplast GUS Assays

Data analysis was performed using Excel (Microsoft) and R2 and figures were created with additional R packages RColorBrewer, gplots, and lattice. The change in 4-MU fluorescence intensities over a 20-min interval were adjusted to a per minute value. These values were then normalized for transfection efficiency by dividing by the corresponding luciferase activity.

For the background measurements using AvrBs3 and respective EBEs, five replicates were performed and averaged (see exclusion criteria in the next sentence), and this average was used to determine the fold change of all other measurements on that same EBE done on the same day and the same plate. Individual wells, which had a luciferase reading below 1000 (fluorescence units), were excluded from the analysis as this indicates poor transfection efficiency. Experiments, consisting of five replicates, were repeated at least twice and all results are shown.

Statistical analyses were done using R. To assess normality of GUS data, density distributions were plotted and visually examined. Distributions appeared to be non-normal and asymmetric (skewed), and therefore a non-parametric statistical test (Wilcoxon rank sum test, as implemented in R package stats with function wilcox.test) was used, and median values are used as a measure of center of distributions (Krzywinski and Altman, 2014).

Confocal Laser Scanning Microscopy (CLSM)

Microscopy of A. thaliana root-cell culture protoplasts was carried out 24 to 36 h after transfection with pGWB641 ripTAL constructs, which results in expression of C-terminal YFP fusion proteins. To mark out nuclei within the cell, plasmid pCF205 bearing a 35-S driven mCherry-NLS construct (Llorca et al., 2015) was co-transfected together with each ripTAL expression plasmid. A Leica DMI6000B-CS SP8 confocal laser scanning microscope with an HC PL APO CS2 40x/1.10 water objective was used for imaging. Excitation was performed at 513 and 594 nm using Argon and HeNe Lasers for YFP and mCherry, respectively. Emission spectra were 522–556 nm for YFP and 604–627 nm for mCherry. A single focal plane was used to prepare images shown. Image analysis and processing of imaging stacks was performed using Fiji (Schindelin et al., 2012).

Bioinformatic Analysis

Sequence analyses, including ClustalW alignments were performed using CLC Main Workbench v 7.6.1 (Qiagen, Aarhust). Individual repeat sequences were extracted from repeat arrays using R with the Biostrings package. Nucleotide sequences used for the per-repeat comparisons, and calculations of GC content were those of ripTALI-1RUN2108, ripTALI-8RUN2127, ripTALI-9RUN64, ripTALII-1Molk2, ripTALIII-1RUN369, ripTALIV-1RUN83, and ripTALIV-2RUN1348.


RipTALs Are Found in all Rssc Phylotypes

We studied a collection of 54 strains, spanning all Rssc phylotypes (Supplementary Table S1). A particular emphasis was given to phylotype III, as there was no RipTAL previously discovered in this phylotype. Further details on the rationale behind strain selection are given in the “Materials and Methods” section.

Within this manuscript unambiguous discrimination between protein domains and DNA sequences encoding these protein domains, such as CRDs or repeats, is achieved by the use of italic font for DNA. We first analyzed all strains for presence of a ripTAL (Figure 1A; Supplementary Table S2). Short 20–30 bp regions flanking the CRD, are conserved among ripTALs from sequenced genomes and were used to deduce primers. We detected a CRD amplicon for most phylotype I strains (10/12) and phylotype IV strains (8/14). Within the five investigated phylotype II strains only Molk2 tested positive for a ripTAL. Analysis of 23 phylotype III strains uncovered a ripTAL only in strain RUN369. This is, to the best of our knowledge, the first full-length ripTAL reported for a phylotype III strain (Supplementary Table S1, Guidot et al., 2007). In summary, our screen uncovered for each Rssc phylotype at least one strain containing a ripTAL. Yet ripTAL abundance differs significantly across the four phylotypes. This conforms with the differential abundance between phylotypes known for other Rssc effectors (Peeters et al., 2013).


FIGURE 1. RipTAL abundance differs across Ralstonia solanacearum phylotypes but RipTALs sequences are similar within and different across phylotypes. (A) Abundance of ripTALs in strains from distinct phylotypes. The assessment is based on PCR analysis with primers flanking the repeats and was carried out on a broad collection of Rssc strains covering all phylotypes and different degrees of host adaptation. (B,C) Pairwise NTR and CTR sequence identities of depicted RipTALs from closely related Rssc strains (B) and RipTALs from different Rssc phylotypes or the Xanthomonas TALE AvrBs3 (C) are given in percent. Light and dark gray background indicates identities in the NTR and CTR, respectively.

RipTALs Can Be Divided into Four Classes, in Line with Strain Phylogeny

We next classified RipTALs based on sequence identities. To do this we amplified, cloned, and sequenced full length CDSs. We then compared translated amino acid sequences of NTRs and CTRs and found that RipTALs from strains within the same phylotype show very high sequence identities. For example, RipTALs from phylotype I are 98.6% and 98.8% identical for the NTR and CTR, respectively (Figure 1B). Cross-phylotype comparisons of RipTAL NTR and CTR sequences uncovered patterns of sequence identities that coincide with Rssc phylogeny. For example, RipTALI-1 and RipTALIII-1 from the closely related phylotypes I and III show identities of 91% (NTR) and 89% (CTR). Accordingly, RipTALs of distantly related phylotype II and IV strains show only 47% (NTR) and 57% (CTR) identity (Figure 1C). However, all RipTALs we examined are more similar to one another than any is to the representative Xanthomonas TALE AvrBs3 (22–26% identity; Figure 1C). Based on this we use phylotype designations (I–IV) to refer to the RipTAL class found in strains of that phylotype.

DNA Binding Domain Diversity Is Limited

Defined here as the number and order of RVDs in a repeat array, the RVD composition can be used to infer EBEs of TALEs and RipTALs (Boch et al., 2009; Moscou and Bogdanove, 2009; de Lange et al., 2013). We introduce here a new RipTAL designation scheme that integrates information on (i) the sequence composition of N- and C-terminal regions (class designation), (ii) DNA target preference and the (iii) donor strain, in one term. The form suggested is RipTALX-NStrain, where X and N are Roman and Arabic numerals denoting RipTAL class (see the section, RipTALs Can Be Divided into Four Classes, in Line with Strain Phylogeny) and RVD composition, respectively, and where the donor strain designation is displayed in subscript font. This proposed change in RipTAL nomenclature is in accordance with a recent proposition on the nomenclature of Rssc effectors (Peeters et al., 2013), but requires that some previously described RipTALs be renamed (Supplementary Figure S1) (de Lange et al., 2013). We believe our new classification provides useful functional information at a glance.

In total, we found eight distinct RVD compositions in this study: four among the RipTALIs, a single RipTALII, the first RipTALIII and two RipTALIVs. RipTALs with an identical RVD composition are grouped together (Figure 2). For example, the RipTALs of phylotype I strains RUN2108 and RUN2120, have the same RVD composition and are therefore classified as RipTALI-1RUN2108 and RipTALI-1RUN2120 (Figure 2), respectively.


FIGURE 2. Comparison of RVD compositions of novel RipTALs across all four Ralstonia solanacearum phylotypes reveals limited diversity. Cartoon displays RVD compositions of newly identified RipTALs separated by class. Each repeat is depicted as an oval. Capital letters inside the repeats indicate amino acids (single letter code) in position 12 and 13 (RVD) of each repeat. Repeats are color-coded based on the preferred base of repeat residue 13, which is the key base specificity determinant, with a color code given at the bottom. Strains bearing a particular ripTAL are given next to the RipTAL identifier in black text. Text in brackets gives the sequevar of this strain, n.d. indicates that this strain has not been clearly assigned to a sequevar. Underlined strain name indicates that the given ripTAL was studied as a representative in functional assays. RipTALI-2 to RipTALI-6 were described previously (de Lange et al., 2013) and are shown in Supplementary Figure S1.

Comparison of RipTAL CRD uncovers a remarkably low diversity in their RVD composition not only within but also across RipTAL classes. For example, RipTALI-8 and RipTALIII-1 are near identical with respect to their RVD composition despite the fact that they originate from distinct phylotypes (Figure 2).

For subsequent functional assays we cloned one representative full-length CDS of each RVD composition. RipTALI-1GMI1000 was previously cloned (previously designated as Brg11; Cunnac et al., 2004; de Lange et al., 2013) and we further cloned RipTALI-8RUN2127, RipTALI-9RUN64, RipTALII-1MOLK2, RipTALIII-1RUN369, RipTALIV-1Psi07, and RipTALIV-2RUN1348. For simplicity, we refer to those RipTALs from hereon without stating their strain designation.

RipTALs of all Classes Localize to the Nucleus in Arabidopsis Protoplasts

We carried out a molecular characterization of the newly cloned ripTALs, starting with in planta subcellular localization of corresponding RipTALs. To do this, the ripTAL CDSs were transferred to a T-DNA vector in between a constitutive cauliflower mosaic 35S promoter (5′) and YFP CDS (3′) for constitutive in planta expression of a YFP-tagged RipTAL in each case (Nakamura et al., 2010). Upon transfection of Arabidopsis thaliana protoplasts the subcellular localization of RipTAL-YFP fusion proteins was assessed using confocal laser scanning microscopy. A plasmid encoding a nuclear-targeted mCherry was co-transfected to visualize the nucleus in each case (Llorca et al., 2015). We found that all tested RipTAL classes localize exclusively to the nucleus (Figure 3; Supplementary Figure S2), in agreement with previous studies on class I RipTALs (de Lange et al., 2013; Li et al., 2013).


FIGURE 3. In planta expressed RipTALs of all classes show nuclear localization. Confocal laser scanning microscopy images of Arabidopsis thaliana protoplasts expressing depicted YFP-tagged RipTALs and a nuclear-targeted mCherry. Scale bars represent 50 μm.

RipTALs Activate Predicted EBEs with a Conserved G0 Preference

RipTALI-7 was not included in this and subsequent functional studies, as we previously showed that RipTALs of that RVD composition do not act as transcriptional activators (de Lange et al., 2013).

We predicted the EBEs for all newly identified RipTALs and cloned each EBE into the transcriptionally silent pepper Bs3 promoter, replacing the EBE of AvrBs3 (Römer et al., 2007), upstream of an uidA (GUS) reporter gene. Next, we tested the ability of RipTALs to transcriptionally activate promoters containing corresponding predicted EBEs in A. thaliana protoplasts.

Previous work on class I RipTALs had shown that the RVD-defined EBEs mediate activation only if preceded by a guanine base (base 0; de Lange et al., 2013). The base 0 preference in class I RipTALs is mediated by a domain within the NTR (de Lange et al., 2013). Our sequence analysis revealed polymorphisms between RipTAL classes in the NTR (Figure 1C). To test if these NTR polymorphisms would affect base 0 preferences, we constructed EBEs not only with a G0, but also with A0, C0, and T0 variants to interrogate the base 0 preferences. GUS measurements of the RipTAL-promoter combinations showed in every case that the tested RipTAL was able to activate a promoter containing its predicted EBE (Figure 4A). Moreover, all RipTALs tested activated their G0EBEs most strongly (Figure 4A). Of the EBEs preceded by a base other guanine, none was activated significantly (p < 0.01 determined by Wilcoxon rank-sum test). Accordingly, G0EBEs were used for all subsequent assays.


FIGURE 4. All RipTALs activated promoters bearing predicted G0 Effector Binding Elements (EBEs). (A) All RipTALs were tested against pepper Bs3 promoter derivatives, bearing the RipTAL EBE in place of the AvrBs3 binding site, preceded by the given base (indicated by color-coded boxplots) upstream of a uidA CDS. Background levels were determined using the same promoter-reporter in combination with AvrBs3. Experiments were repeated twice and all results are shown. G0EBEs were activated significantly (p < 0.01, Wilcoxon rank-sum test), while the others were not. (B) Boxshade alignment of G0EBEs corresponding to depicted RipTALs.

RipTALs Display Overlap in Their Activation Profiles as defined by Their RVD Composition

We noted that some predicted RipTAL EBEs differ by only single nucleotide polymorphisms (SNPs; Figure 4B). We hypothesized that RipTALs would target predicted EBEs differing from their own EBE by only one or a few SNPs. In contrast, RipTAL repeat arrays are not expected to accommodate insertions or deletions in their EBE (Richter et al., 2014). To test this hypothesis, we transfected Arabidopsis protoplasts with all possible combinations of RipTALs and reporter constructs containing distinct EBEs, and measured resulting GUS activities (Figure 5). As anticipated, we found in many cases that RipTALs activated not only the promoter construct containing its cognate EBE but also those bearing EBEs with one or a few SNPs. Such cross-reactivity was observed for example in RipTALI-1 and RipTALI-8, both originating from broad host-range strains. Both RipTALs were able to activate EBE_I-1 and EBE_I-8 reporters, since the corresponding EBEs differ by one SNP only (Figure 4B). By contrast RipTALI-1 and RipTALI-8 are both unable to activate the reporter construct containing EBE_I-9 (Figure 5), differing in multiple positions (Figure 4B).


FIGURE 5. RipTALs form functional groups based on cross activation. Increase in GUS-reporter activity for RipTALs on promoters with predicted EBEs. Columns indicate promoter-embedded EBEs tested. The last column provides information on the natural host range of the RipTAL bearing strains identified in this study. All full-length RipTALs were tested against all EBEs. For each RipTAL-EBE combination the median fold activation is given. Underlined values indicate predicted RipTAL-EBE combinations. Blue background is used for RipTAL-EBE combinations that were significantly greater than 1 (p < 0.01, determined by Wilcoxon rank-sum test).

Inspection of all RipTAL-EBE combination uncovers two major cross reactivity groups. The first group contains RipTALs I-1, I-8, and III-1 all originating from broad host-range strains activating promoters containing each other’s EBEs.

The second cross activation group unites RipTALs II-1 and IV-2 cloned from banana-specialized phylotype II and phylotype IV strains that both target a common promoter (Figure 5). This observation was unexpected given the marked differences in the RVD composition of RipTALII-1 and RipTALIV-2 (Figure 2).

Repeat 8 with the RVD HD Does Not Discriminate between Adenine and Cytosine Bases

Our experiments revealed many cases of cross-reactivity of RipTALs. We noted that RipTALI-1, which has a repeat with RVD HD at position 8, was able to activate promoters containing EBE_II-1 and EBE_IV-1 (Figure 5) despite both containing an adenine in place of cytosine (Figure 4B) at position 8. In previous studies synthetic trimers of this RipTAL HD repeat were tested in the context of an AvrBs3 scaffold and showed a strong preference for a cytosine base trimer (de Lange et al., 2013) suggesting that pairing of this HD repeat to adenine should cause a reduction in promoter activation. To test if this prevalent adenine/cytosine polymorphism in our predicted EBEs actually has any significant impact on the recognition by distinct RipTALs we created an EBE_I-1 derivative where cytosine 8 is replaced by adenine. This modified EBE (EBE_I-1_A8) was tested in combination with RipTALI-1, RipTALI-8, and RipTALIII-1. Analysis of reporter activation levels revealed in all cases that the promoter containing EBE_I-1_A8 was activated to equivalent or higher levels than the promoter containing EBE_I-1 (Figure 6). These data suggest that the HD repeats 8 of RipTALs I-1, I-8, and III-1 are compatible with both, cytosine and adenine in their native CRD context, which rationalizes the considerable cross-reactivity observed for these RipTALs (Figure 5). Given that the investigated HD repeat 8 was mostly incompatible with adenine in the context of an AvrBs3 scaffold, these data indicate context-dependency of this RipTAL HD repeat. Notably similar context dependency has been observed previously for HD TALE repeats that in a certain context showed preference for adenine instead of cytosine (Meckler et al., 2013; Miller et al., 2015).


FIGURE 6. HD repeat 8 of RipTALs from broad host-range strains is unable to discriminate between adenine and cytosine. White boxplots show fold GUS change over background on the RipTALI-1 EBE reporter. Gray boxplots show fold GUS change over background for the same EBE where base 8 was changed from cytosine to adenine. The number of replicates is given below each plot.

Individual ripTAL Repeats from the Same CRD Show Different Degrees of Sequence Identity

Previous work on ripTALs from phylotype I suggested that ripTAL CRDs are subject to recombinatorial mechanisms and are evolving at higher rates relative to the genome (Heuer et al., 2007). Yet, this early study was based on CRD length only since the nucleotide composition was not available at that time. We therefore compared sequence composition of individual repeats within and across ripTAL CRDs to study their evolution. Analysis of all repeats of the TALE representative avrBs3 to each other shows pairwise repeat identities ranging from 91 to 100% (Figure 7) in line with previous analysis of avrBs3 and other TALE repeats (Bonas et al., 1989; Pérez-Quintero et al., 2015). In contrast ripTAL repeat identities are far more scattered. For example, in ripTALI-1 identities range from 65% (repeat 7 vs. repeat 1) up to 97% (repeat 8 vs. repeat 11; Figure 7). The pronounced differences in sequence identity between ripTAL repeats provide a tool to study their evolutionary relationships. In contrast, near-identical repeats of TALEs are poorly suited for such evolutionary investigations. We first compared repeats of pairs of closely related (based on strain phylogeny) ripTAL CRDs: we compared ripTALI-1 versus ripTALI-8 (Figure 8A), as well as ripTALIV-1 versus ripTALIV-2 (Supplementary Figure S4b). In both cases repeats occupying the same position in each CRD, generally show a high degree of sequence conservation. This is clearly observable as a diagonal line of over 90% sequence identity (indicated in red color) in Figure 8A and Supplementary Figure S4b. This implies that ripTAL repeats generally retain fixed positions over time. This position-dependent conservation is not observed when ripTAL repeats from distantly related strains are compared (Figure 8B), perhaps indicative of a large degree of sequence drift between these ripTAL genes.


FIGURE 7. Comparison of repeats within a TALE a ripTAL uncovers pronounced differences in their inter-repeat identities. Individual repeats of the TALE avrBs3 (upper right) and ripTALI-1 (lower left) were, aligned, ordered as in their native CRD, and pairwise identities were calculated (percentages in cells). Values <97% are displayed in white font, values ≥97 in black font. Color-coding of cells indicates identities between two given repeats, with a color key given upper right. Black-framed cells indicate comparison of a repeat against itself. Numbers above or adjacent to repeats indicate the position of the repeat within the given array.


FIGURE 8. Inter-repeat comparisons of RipTALs from closely related Rssc strains uncovers position-dependent conservation (PDC) of repeats. Individual repeats were aligned and pairwise identities were calculated. Repeats are shown in their native order. Cells are color coded by their percentage identities value according to the color code to the right. Identities <97% are displayed in white font, those ≥97% in black font. Numbers indicate the position of the repeat within the CRD. (A) Comparison between all repeats of the CRD of ripTALI-1 (columns) versus all repeats of the CRD of ripTALI-8 (rows). (B) Comparison between all repeats of the CRD of ripTALIII-1 (columns) versus all repeats of the CRD of ripTALII-1 (rows).

Different Pathways of Molecular Evolution Have Left Footprints in ripTAL CRDs

The evolution of Xanthomonas TALEs is difficult to study, since their repeats contain few to no polymorphisms, and therefore phylogenies are challenging to deduce (Pérez-Quintero et al., 2015). Since ripTAL repeats exhibit greater sequence diversity than TALE repeats (de Lange et al., 2013) we set out to investigate how ripTAL repeat arrays evolve. To do this, we inspected repeats of closely related ripTALs to deduce the molecular mechanisms underlying ripTAL repeat array evolution. We found evidence of three distinct molecular mechanisms shaping ripTAL CRDs: single nucleotide exchanges, slipped-strand mispairing and segmental gene conversion, presented below.

Nucleotide Exchanges in Codons Translating into RVDs

Inspection of RipTALs I-1 and I-8 reveals that these differ only in repeat 12 by an SH (I-1) to NP (I-8) RVD polymorphism (Figure 2). The corresponding 105 bases of repeat 12 from ripTALI-1 and ripTALI-8 differ by only two substitution polymorphisms present in their RVD codons [position 12 (AGC→AAC, translating to S→N], position 13 [CAT→CCT, translating to H→P)] (Figures 2, 4, 8A, and 9A). Since RVDs define DNA binding specificity the observed RVD changes will possibly cause differences in affinity to certain DNA sequences and therefore impact on the activation of different host genes. This might explain why most RVDs are conserved within RipTAL CRDs from strains with similar host-ranges.


FIGURE 9. Inspection of ripTAL CRDs indicates the molecular mechanisms shaping ripTAL CRD composition. Closely related repeats are colored in the same color, with exception of gray that does not indicate any relatedness. (A) Specificity altering SNPs. Repeats 10-13 of RipTALI-1 and RipTALI-8 are shown. The RVDs and cognate codons of repeat 12 of each RipTAL are further given in yellow boxes. The two depicted SNPs constitute the only polymorphisms between these two repeats. (B) Repeat duplication by segmental gene conversion. Repeats 7–11 of RipTALI-9 are shown, as well as repeats 7-12 of RipTALI-1 and RipTALIII-1. Green color indicates HD repeats that are highly similar in sequence, within each array. A less related HD repeat is displayed in dark gray. Proposed segmental gene conversion events are indicated by dashed lines with arrowheads. Polymorphic bases between repeats 8, 10, and 11 of the respective ripTAL are displayed to the right of the cartoon display. Next to the base comparison, repeat RVD, as well as the position within the array, colored according to the fill color of that repeat in the cartoon display is given. (C) Duplication of adjacent repeats by slipped-strand mispairing exemplified on ripTALII-1. Repeats 1-6 of a proposed ancestral repeat array are shown to the left. A slipped-strand mispairing DNA intermediate is shown above. Repeats 1–7 of the resulting product are shown to the right. Slipped-strand mispairing leads to a duplication of the repeat colored in orange. (D) A recombination event leads to loss of all repeats except one in ripTALI-7. The remaining repeat is fusion of ripTALI-1 repeats 1 (pink) and 16 (blue). To the right, polymorphic bases of repeats 1 and 16 are shown. The ripTAL designation, repeat RVD and repeat position are given to the right of the sequence of polymorphic bases, colored according to the fill color of that repeat.

Insertion of Individual Repeats within an Array

The ripTALIII-1 CRD contains four HD repeats (Figure 2). HD repeats 10 and 11 are neighbors, which seems to suggest that these evolved by duplication. However, inspection of ripTALIII-1 repeats 10 and 11 shows that these differ in 11 out of 105 bases (corresponds to 90% homology). By contrast repeats 10 and 8 of ripTALIII-1 are sequence identical. We thus assume that repeat 10 evolved via segmental gene conversion from repeat 8 or reciprocally that repeat 8 evolved via segmental gene conversion from repeat 10 (Figure 9B).

RipTALI-1 shows, like RipTALIII-1, three HD repeats in positions 8, 10, and 11 and one might assume that its CRD evolved in the same way as the ripTALIII-1 CRD. However, in ripTALI-1 repeat 8 is only 92% identical to repeat 10 but 97% identical to repeat 11 (Figure 7). This suggests that in ripTALI-1 repeat 8 evolved by segmental gene conversion of repeat 11, or vice versa (Figure 9B).

The CRD of RipTALI-9 is similar to the RipTALI-1 CRD but displays HD repeats only in positions 8 and 10 but not in position 11 (Figure 2). Therefore, we consider it likely that repeat 8 of ripTALI-1 is the ancestor of repeat 11.

The differences in repeat identities observed for ripTALI-8 and ripTALIII-1 are indicative of independent, convergent evolution of the CRDs to yield two highly similar repeat arrays, by duplication of the same ancestral repeat (repeat 8) into two distinct positions (10 or 11), giving rise to DNA binding domains, which confer binding of highly similar, if not identical sequences (Figures 2, 4B, 5, 8, and 9) in independently evolving broad host-range strains. In sum our data suggest that the identical RVD composition that we observed in two distinct RipTALs (I-8 and III-1) originating from strains in two geographically separated habitats are the consequence of convergent evolution.

An Elevated GC Content in the TALE, but Not RipTAL CRDs, Suggests Frequent Gene Conversion in TALEs

Frequent gene conversion is known to increase GC content in the affected region, known as GC-biased gene conversion (Lassalle et al., 2015).

A comparison of the GC contents of TALE and ripTAL across the complete CDS shows 66–67% GC content for both (Supplementary Table S3). However, the GC content of TALEs is not homogenous across the CDS. The TALE NTR and CTR (65 and 61% GC, respectively) are GC poor compared to the CRD (70%). By contrast, ripTALs show less fluctuation in GC content across the CDS (Supplementary Table S3), indicative of less frequent gene conversion acting on the CRD, relative to TALEs. In sum, the elevated GC contents in TALE CRDs as compared to ripTAL CRDs suggests that gene conversion occurs more frequently in TALEs as compared to ripTALs.

Duplication of Repeats by Slipped-Strand Mispairing

We find evidence for direct repeat duplication when comparing repeats 4 and 5 of ripTALII-1 (Figure 8B; Supplementary Figure S5). These repeats are 100% identical, indicative of a recent duplication event (Figure 8B; Supplementary Figure S5). Similarly, repeats 3 and 4 of ripTALIV-2 as well as repeats 2 and 5 of ripTALIV-2 are 100% identical and are thus also likely the result of duplication events (Supplementary Figures S4b and S5). Repeats 2/5 and 3/4 of ripTALIV-2 differ only by a single nucleotide. It thus seems possible that all four repeats were generated from a single progenitor by multiple slipped-strand mispairing events.

Loss of the CRD

ripTALI-7 consists of one repeat only and is likely the product of repeat loss. We conclude this based on alignment of repeats 1 and 16 from ripTALI-1 to the single ripTALI-7 repeat that indicate that this single repeat appears to be a fusion of the first and last repeats of for example ripTALI-1 (Figure 9C) with a concordant deletion of all intervening repeats. This may have occurred via strand slippage on the template strand, leading to looping out and loss of repeats 1–15, or it may have occurred via intra-molecular recombination.


RipTALs Appear to be an Ancestral Feature of the Rssc but Are Not Part of the Core Effector Depertoire

Our study of the natural diversity and abundance of ripTALs within the Rssc (Figure 1A) uncovered that ripTALs are present in all phylotypes, although abundance differs between the four phylotypes. ripTALs appear to be prevalent in phylotypes I and IV (Figure 1A) and are rare in phylotypes II and III. The absence of ripTALs from most but not all phylotype II and III strains suggests that the gene is ancestral and has been lost in multiple lineages. It has been suggested that ripTALs were horizontally transferred into the Rssc, possibly from a Xanthomonas strain, and subsequently transferred horizontally to certain other lineages within the species complex (Fall et al., 2007; Heuer et al., 2007). However, the pairwise similarities we observe for RipTAL NTR and CTR sequences of different phylotypes (Figure 1C) show the same relationships as the species complex phylotypes (Wicker et al., 2012), and also reflect the individual taxonomic species. This observation is consistent with a model where a ripTAL progenitor was present in the last common ancestor of the species complex.

The Ability of Some RipTALs to Activate the Same Sequence Evolved Convergently

We showed that the similarities of predicted RipTAL EBEs lead to cross-activation of corresponding promoters by different RipTALs (Figure 5). For example, RipTALI-1, RipTALI-8, and RipTALIII-1 (Figure 5), all coming from strains infecting a broad range of solanaceous host plants activate promoters containing any of the corresponding EBEs. As illustrated in Figure 9, separate events likely gave rise to the DNA binding domains of RipTALI-1, RipTALI-8, and RipTALIII-1, suggesting that these RipTALs have evolved convergently toward the same target sequence. This may imply that not only the RipTAL EBEs but also the downstream-encoded disease-promoting host proteins are conserved across many solanaceous host species.

Unlike the generalist strains found across the Rssc, some strains from phylotypes II and IV are highly host-specific and are epidemiologically restricted to Musa species (Ailloud et al., 2015, 2016), causing Moko and blood disease of banana, respectively. Moko disease is prevalent in Latin America and has been reported to cause yield losses of up to 100% (Munar-Vivas et al., 2010). Blood disease is mainly found in Indonesia, where it has been reported in 90% of all provinces (Hadiwiyono et al., 2007) and causes yield losses up to 100% (Supriadi, 2005). Both diseases are the result of host-specialization yet must have evolved in distinct, geographically separated phylogenetic groups.

RipTALIV-2 was isolated from all BDB strains we analyzed and RipTALII-1 was isolated from the Moko disease causing strain Molk2 (Figure 2; Supplementary Table S1). Recent genome sequencing of additional Moko disease causing strains indicates that ripTALIIs are also present in some of these strains (Ailloud et al., 2015). Given that abundance of ripTALs is otherwise low in phylotype II strains, the presence of ripTALs in multiple Moko disease causing strains might suggest that these RipTALs make a disease contribution in banana.

In our initial comparison of RVDs (Figure 2) we aligned all RipTALs starting with the N-terminal NT repeat. Based on this alignment we did not expect overlap in promoter activation for RipTALII-1 (Moko disease) and RipTALIV-2 (blood disease). We observed, however, that both RipTALs are able to significantly activate the EBE_IV-2 containing promoter (Figure 5) and tried to rationalize this observation. We noted that RipTALII-1 fits almost perfectly to EBE_IV-2 if binding occurs two bases downstream from the predicted G0 for RipTALIV-2 (Supplementary Figure S6). In sum, the unexpected cross-activity of RipTALII-1 and RipTALIV-2 may suggest a common host target gene in banana.

RipTAL Convergence May Provide an Opportunity to Generate Disease Resistant Plants

It seems conceivable that RipTALs, like TALEs, promote virulence via host S gene activation. Thus mutations in corresponding RipTAL EBEs will disrupt RipTAL-mediated activation and eliminate the disease-promoting function of the RipTAL.

Given that RipTALs from strains causing Moko and blood disease may target the same EBE, in a yet to be identified banana S gene, mutations in this EBE might mediate protection against both, Moko and blood disease. Similarly, RipTALs from broad host range strains of phylotypes I and III appear to activate the same promoters. Identification of the disease relevant target gene and abolishing the transcriptional up-regulation of said target by modification of the EBEs, may render solanaceous hosts more resistant to RipTAL bearing strains of phylotypes I and III. Notably, mutations of EBEs in TALE targeted rice S genes resulted in rice cultivars resistant to Xanthomonas oryzae pv. oryzae (Li et al., 2012) suggesting that the same strategy could be applied to host-adapted Rssc strains that rely on RipTALs during infection.

TALE-Likes of Plant Pathogens in an Ecological Context and Implications for TALE-Based Resistance Engineering

When comparing RipTALs to TALEs, it is important to consider the differences in lifestyle of the pathogens. Depending on the overall host range of a pathogen and the availability of hosts, different ecological models apply. For example, if a given RipTAL of a broad host range population is recognized in a certain host genotype, the affected population might persist by colonizing a nearby alternative host. Thereby, retention of a RipTAL that promotes disease in many, but triggers immunity in one of many hosts, may be advantageous for a broad host-range pathogen, which also has many non-crop weed hosts. Based on these considerations there will be selective pressure to maintain the binding specificity of RipTALs. However, at the population level mutations in ripTALs may also cause diversification into strains with different host specificities. We envision that mutations in ripTALs that otherwise trigger plant defense in a certain host could facilitate colonization of these otherwise Rssc resistant hosts. This would allow colonization of one host while impairing the ability to grow in others within the previous, broader range. For example, all sequenced ginger-adapted phylotype I strains carry the non-functional RipTALI-7, which only contains a single repeat, in their genome3, which possibly indicates that presence of a functional RipTAL might be detrimental in this specific host. More generally this observation may suggest that functional changes in a RipTAL correlate to host-adaptation (Figure 5), an hypothesis that was previously formulated based on a correlation between repeat number in the CRD of RipTALs and strain host-range (Heuer et al., 2007).

TALEs found in xanthomonads often differ in RVD composition, and thus target sequence, but the individual repeats are near identical otherwise (Supplementary Figure S4). In a recent report, Booher et al. (2015) showed that within closely related rice infecting Xanthomonas strains TALE content and genomic position of TALEs are similar, but that the diversity of their CRDs is high, and that their CRDs evolve quickly. CRD polymorphisms are restricted largely to number of repeats and RVD type. Similar observations were made by Pérez-Quintero et al. (2015) who used RVD compositions as the basis to construct phylogenetic trees for TALEs and compared these to NTR and CTR based trees. The comparisons showed that trees constructed from RVD sequences, used as proxy for CRDs, are different from those constructed based on NTR and CTR, again implying differential evolutionary behavior of the individual regions. Collectively, these observations indicate that the TALE CRD evolves faster than the NTR and CTR, pointing toward a selective pressure promoting evolvability of the CRD. This is similar to the vlsE locus of Lyme disease Borrelia, that confers antigenic variability in these pathogens. In vlsE, a central region of elevated variability and increased GC content is embedded in a flanking, invariable region (Norris, 2015; Supplementary Figure S3).

The TALE CRD itself acts as a direct interface between pathogen and host, and the sequence specificity of the CRD can be rapidly altered by alterations of the CRD specific RVD sequence, while retaining the sequence and structure of the remaining repeat residues. Graves et al. (2013) have described a similar situation for the vlsE locus, driving antigenic variation in the bacterial pathogen Borrelia, where natural selection promotes an antigenic variation system exhibiting a high evolvability while retaining structure. By promoting diversity in residues exposed to the host, while constraining diversification of the structural scaffold, the molecular host-pathogen interface remains highly flexible (Graves et al., 2013). This is conceptually similar to the TALE CRD, where diverse RVDs are embedded in conserved non-RVD scaffolds (Boch and Bonas, 2010).

In summary, it appears that the TALE CRD and antigenic variation systems, as employed by Borrelia, make use of the decreased genetic stability, and consequent increased evolvability, of repetitive sequences. However, these conserved repetitive sequences are precisely interspersed with variable sequences.

During molecular interaction with the host, the variable sequences define the outcome of the interaction. Shuffling and exchange of these variable epitopes embedded in conserved structural scaffolds can give rise to new interaction outcomes and enable the adaptation to new host genotypes, or to the changing antibody complement in one host.

Why then do we find reduced evolvability, due to low repeat-identity, in ripTALs? Strains of the R. solanacearum species complex are often able to infect multiple plant families and this is likely to cause different selection pressure as opposed to narrow host range pathogens as for example Xanthomonas.

While the near-identical repeats of Xanthomonas TALEs may allow for fast adaptation, there is a trade-off as their highly repetitive sequence makes them inherently unstable genes. ripTALs, with their lower inter repeat-sequence identities may be less prone to recombination. This is possibly an adaptive advantage if there is little variation in the, so far unknown, RipTAL target gene promoter across multiple host plants. Based on our finding that RipTALs with overlapping DNA-targeting specificities are found in strains adapted to different solanaceous hosts (Figure 5; Supplementary Table S1), we hypothesize that a RipTAL EBE in a given host target gene is conserved across multiple solanaceous host plants. Should this hypothesis hold true, generation of more tolerant or even resistant crop plants by alterations in the yet to be identified host EBE, could be used to generate bacterial wilt resistance in a number of different host plants

Author Contributions

NS, OdL, and TL designed the experiments. PP provided material and NS and OdL performed the experiments. NS, OdL, and TL analyzed the data and all authors interpreted the data. NS wrote the manuscript with input from all authors.


This work was supported by Deutsche Forschungsgemeinschafts (DFG) grants LA 1338/6 and SFB 924. The European Union (ERDF), Conseil Régional de La Réunion, the French Agence Nationale de la Recherche and CIRAD provided financial support.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


The authors would like to acknowledge Claudine Boyer and Thomas Chesneau (CIRAD UMR PVBMT) for providing Rssc strains and genomic DNA, and Annett Milling and Caitilyn Allen (University of Wisconsin-Madison) for providing Rssc genomic DNA. The authors would further like to acknowledge Dr. Kenneth W. Berendzen of the ZMBP Central Facilities (University of Tübingen) Flow cytometry unit, for providing the plasmid pCF205 (35S::mCherryNLS) used for microscopy and further acknowledge Catherina Brancato for maintaining the A. thaliana root cell culture.

Supplementary Material

The Supplementary Material for this article can be found online at:


  1. ^
  2. ^
  3. ^,, strains SD54 and SD58 (de Lange et al., 2013)


Ailloud, F., Lowe, T., Cellier, G., Roche, D., Allen, C., and Prior, P. (2015). Comparative genomic analysis of Ralstonia solanacearum reveals candidate genes for host specificity. BMC Genomics 16:270. doi: 10.1186/s12864-015-1474-1478

CrossRef Full Text | Google Scholar

Ailloud, F., Lowe, T. M., Robène, I., Cruveiller, S., Allen, C., and Prior, P. (2016). In planta comparative transcriptomics of host-adapted strains of Ralstonia solanacearum. PeerJ 4:e1549. doi: 10.7717/peerj.1549

CrossRef Full Text | Google Scholar

Boch, J., and Bonas, U. (2010). Xanthomonas AvrBs3 family-type III effectors: discovery and function. Annu. Rev. Phytopathol. 48, 419–436. doi: 10.1146/annurev-phyto-080508-081936

CrossRef Full Text | Google Scholar

Boch, J., Bonas, U., and Lahaye, T. (2014). TAL effectors - pathogen strategies and plant resistance engineering. New Phytol. 204, 823–832. doi: 10.1111/nph.13015

CrossRef Full Text | Google Scholar

Boch, J., Scholze, H., Schornack, S., Landgraf, A., Hahn, S., Kay, S., et al. (2009). Breaking the code of DNA binding specificity of TAL-type III effectors. Science 326, 1509–1512. doi: 10.1126/science.1178811

CrossRef Full Text | Google Scholar

Bonas, U., Stall, R. E., and Staskawicz, B. (1989). Genetic and structural characterization of the avirulence gene avrBs3 from Xanthomonas campestris pv. vesicatoria. Mol. Gen. Genet. 218, 127–136. doi: 10.1007/BF00330575

CrossRef Full Text | Google Scholar

Booher, N. J., Carpenter, S. C. D., Sebra, R. P., Wang, L., Salzberg, S. L., Leach, J. E., et al. (2015). Single molecule real-time sequencing of Xanthomonas oryzae genomes reveals a dynamic structure and complex TAL (transcription activator-like) effector gene relationships. Microb. Genom. 1. doi: 10.1099/mgen.0.000032

CrossRef Full Text | Google Scholar

Cunnac, S., Occhialini, A., Barberis, P., Boucher, C., and Genin, S. (2004). Inventory and functional analysis of the large Hrp regulon in Ralstonia solanacearum: identification of novel effector proteins translocated to plant host cells through the type III secretion system. Mol. Microbiol. 53, 115–128. doi: 10.1111/j.1365-2958.2004.04118.x

CrossRef Full Text | Google Scholar

de Lange, O., Binder, A., and Lahaye, T. (2014a). From dead leaf, to new life: TAL effectors as tools for synthetic biology. Plant J. 78, 753–771. doi: 10.1111/tpj.12431

CrossRef Full Text | Google Scholar

de Lange, O., Schreiber, T., Schandry, N., Radeck, J., Braun, K. H., Koszinowski, J., et al. (2013). Breaking the DNA-binding code of Ralstonia solanacearum TAL effectors provides new possibilities to generate plant resistance genes against bacterial wilt disease. New Phytol. 199, 773–786. doi: 10.1111/nph.12324

CrossRef Full Text | Google Scholar

de Lange, O., Wolf, C., Dietze, J., Elsaesser, J., Morbitzer, R., and Lahaye, T. (2014b). Programmable DNA-binding proteins from Burkholderia provide a fresh perspective on the TALE-like repeat domain. Nucleic Acids Res. 42, 7436–7449. doi: 10.1093/nar/gku329

CrossRef Full Text | Google Scholar

de Lange, O., Wolf, C., Thiel, P., Krüger, J., Kleusch, C., Kohlbacher, O., et al. (2015). DNA-binding proteins from marine bacteria expand the known sequence diversity of TALE-like repeats. Nucleic Acids Res. 43, 10065–10080. doi: 10.1093/nar/gkv1053

CrossRef Full Text | Google Scholar

Deng, D., Yan, C., Pan, X., Mahfouz, M., Wang, J., Zhu, J.-K., et al. (2012). Structural basis for sequence-specific recognition of DNA by TAL effectors. Science 335, 720–723. doi: 10.1126/science.1215670

CrossRef Full Text | Google Scholar

Fall, S., Mercier, A., Bertolla, F., Calteau, A., Gueguen, L., Perrière, G., et al. (2007). Horizontal gene transfer regulation in bacteria as a “spandrel” of DNA repair mechanisms. PLoS ONE 2:e1055. doi: 10.1371/journal.pone.0001055

CrossRef Full Text | Google Scholar

Fegan, M., and Prior, P. (2005). “How complex is the ‘Ralstonia solanacearum species complex’?,” in Bacterial Wilt Disease and the Ralstonia solanacearum Species Complex, eds C. Allen, P. Prior, and A. C. Hayward (St. Paul, MN: American Phytopathological Society Press), 449–461.

Google Scholar

Gao, H., Wu, X., Chai, J., and Han, Z. (2012). Crystal structure of a TALE protein reveals an extended N-terminal DNA binding region. Cell Res. 22, 1716–1720. doi: 10.1038/cr.2012.156

CrossRef Full Text | Google Scholar

Genin, S., and Denny, T. P. (2012). Pathogenomics of the Ralstonia solanacearum species complex. Annu. Rev. Phytopathol. 50, 67–89. doi: 10.1146/annurev-phyto-081211-173000

CrossRef Full Text | Google Scholar

Graves, C. J., Ros, V. I. D., Stevenson, B., Sniegowski, P. D., and Brisson, D. (2013). Natural selection promotes antigenic evolvability. PLoS Pathog. 9:e1003766. doi: 10.1371/journal.ppat.1003766

CrossRef Full Text | Google Scholar

Gu, K., Yang, B., Tian, D., Wu, L., Wang, D., Sreekala, C., et al. (2005). R gene expression induced by a type-III effector triggers disease resistance in rice. Nature 435, 1122–1125. doi: 10.1038/nature03630

CrossRef Full Text | Google Scholar

Guidot, A., Prior, P., Schoenfeld, J., Carrère, S., Genin, S., and Boucher, C. (2007). Genomic structure and phylogeny of the plant pathogen Ralstonia solanacearum inferred from gene distribution analysis. J. Bacteriol. 189, 377–387. doi: 10.1128/JB.00999-06

CrossRef Full Text | Google Scholar

Hadiwiyono, Subandiyah, S., Sumardiyono, C., Widada, J., and Fegan, M. (2007). Effect of altitude and wounding on blood disease progress of plantain. J. Hama dan Penyakit Tumbuh. Trop. 7, 111–116.

Heuer, H., Yin, Y.-N., Xue, Q.-Y., Smalla, K., and Guo, J.-H. (2007). Repeat domain diversity of avrBs3-like genes in Ralstonia solanacearum strains and association with host preferences in the field. Appl. Environ. Microbiol. 73, 4379–4384. doi: 10.1128/AEM.00367-07

CrossRef Full Text | Google Scholar

Krzywinski, M., and Altman, N. (2014). Points of significance: nonparametric tests. Nat. Methods 11, 467–468. doi: 10.1038/nmeth.2937

CrossRef Full Text | Google Scholar

Lassalle, F., Périan, S., Bataillon, T., Nesme, X., Duret, L., and Daubin, V. (2015). GC-Content evolution in bacterial genomes: the biased gene conversion hypothesis expands. PLoS Genet. 11:e1004941. doi: 10.1371/journal.pgen.1004941

CrossRef Full Text | Google Scholar

Leoni, C., Volpicella, M., De Leo, F., Gallerani, R., and Ceci, L. R. (2011). Genome walking in eukaryotes. FEBS J. 278, 3953–3977. doi: 10.1111/j.1742-4658.2011.08307.x

CrossRef Full Text | Google Scholar

Li, L., Atef, A., Piatek, A., Ali, Z., Piatek, M., Aouida, M., et al. (2013). Characterization and DNA-binding specificities of Ralstonia TAL-like effectors. Mol. Plant 6, 1318–1330. doi: 10.1093/mp/sst006

CrossRef Full Text | Google Scholar

Li, M., Doll, J., Weckermann, K., Oecking, C., Berendzen, K. W., and Schöffl, F. (2010). Detection of in vivo interactions between Arabidopsis class A-HSFs, using a novel BiFC fragment, and identification of novel class B-HSF interacting proteins. Eur. J. Cell Biol. 89, 126–132. doi: 10.1016/j.ejcb.2009.10.012

CrossRef Full Text | Google Scholar

Li, T., Liu, B., Spalding, M. H., Weeks, D. P., and Yang, B. (2012). High-efficiency TALEN-based gene editing produces disease-resistant rice. Nat. Biotechnol. 30, 390–392. doi: 10.1038/nbt.2199

CrossRef Full Text | Google Scholar

Llorca, C. M., Berendzen, K. W., Malik, W. A., Mahn, S., Piepho, H. P., and Zentgraf, U. (2015). The elucidation of the interactome of 16 Arabidopsis bZIP factors reveals three independent functional networks. PLoS ONE 10:e0139884. doi: 10.1371/journal.pone.0139884

CrossRef Full Text | Google Scholar

Macho, A. P., Guidot, A., Barberis, P., Beuzón, C. R., and Genin, S. (2010). A competitive index assay identifies several Ralstonia solanacearum type III effector mutant strains with reduced fitness in host plants. Mol. Plant Microbe Interact. 23, 1197–1205. doi: 10.1094/MPMI-23-9-1197

CrossRef Full Text | Google Scholar

Mak, A. N.-S., Bradley, P., Bogdanove, A. J., and Stoddard, B. L. (2013). TAL effectors: function, structure, engineering and applications. Curr. Opin. Struct. Biol. 23, 93–99. doi: 10.1016/

CrossRef Full Text | Google Scholar

Meckler, J. F., Bhakta, M. S., Kim, M.-S., Ovadia, R., Habrian, C. H., Zykovich, A., et al. (2013). Quantitative analysis of TALE-DNA interactions suggests polarity effects. Nucleic Acids Res. 41, 4118–4128. doi: 10.1093/nar/gkt085

CrossRef Full Text | Google Scholar

Miller, J. C., Zhang, L., Xia, D. F., Campo, J. J., Ankoudinova, I. V., and Guschin, D. Y. (2015). Improved specificity of TALE-based genome editing using an expanded RVD repertoire. Nat. Methods 12, 465–471. doi: 10.1038/nmeth.3330

CrossRef Full Text | Google Scholar

Moscou, M. J., and Bogdanove, A. J. (2009). A simple cipher governs DNA recognition by TAL effectors. Science 326, 1501. doi: 10.1126/science.1178817

CrossRef Full Text | Google Scholar

Mukaihara, T., and Tamura, N. (2009). Identification of novel Ralstonia solanacearum type III effector proteins through translocation analysis of hrpB-regulated gene products. Microbiology 155, 2235–2244. doi: 10.1099/mic.0.027763-0

CrossRef Full Text | Google Scholar

Mukaihara, T., Tamura, N., Murata, Y., and Iwabuchi, M. (2004). Genetic screening of Hrp type III-related pathogenicity genes controlled by the HrpB transcriptional activator in Ralstonia solanacearum. Mol. Microbiol. 54, 863–875. doi: 10.1111/j.1365-2958.2004.04328.x

CrossRef Full Text | Google Scholar

Munar-Vivas, O., Morales-Osorio, J. G., and Castañeda-Sánchez, D. A. (2010). Use of field-integrated information in GIS-based maps to evaluate Moko disease (Ralstonia solanacearum) in banana growing farms in Colombia. Crop Prot. 29, 936–941. doi: 10.1016/j.cropro.2010.04.021

CrossRef Full Text | Google Scholar

Nakamura, S., Mano, S., Tanaka, Y., Ohnishi, M., Nakamori, C., Araki, M., et al. (2010). Gateway binary vectors with the bialaphos resistance gene, bar, as a selection marker for plant transformation. Biosci. Biotechnol. Biochem. 74, 1315–1319. doi: 10.1271/bbb.100184

CrossRef Full Text | Google Scholar

Norris, S. J. (2015). The vls antigenic variation systems of Lyme disease Borrelia: eluding host Immunity through both random, segmental gene conversion and framework heterogeneity. Microbiol. Spectr. 2, 471–489. doi: 10.1128/microbiolspec.MDNA3-0038-2014.

CrossRef Full Text | Google Scholar

Peeters, N., Carrère, S., Anisimova, M., Plener, L., Cazalé, A.-C., and Genin, S. (2013). Repertoire, unified nomenclature and evolution of the type III effector gene set in the Ralstonia solanacearum species complex. BMC Genomics 14:859. doi: 10.1186/1471-2164-14-859

CrossRef Full Text | Google Scholar

Pérez-Quintero, A. L., Lamy, L., Gordon, J. L., Escalon, A., Cunnac, S., Szurek, B., et al. (2015). QueTAL: a suite of tools to classify and compare TAL effectors functionally and phylogenetically. Front. Plant Sci. 6:545. doi: 10.3389/fpls.2015.00545

CrossRef Full Text | Google Scholar

Prior, P., Ailloud, F., Dalsing, B. L., Remenant, B., Sanchez, B., and Allen, C. (2016). Genomic and proteomic evidence supporting the division of the plant pathogen Ralstonia solanacearum into three species. BMC Genomics 17:90. doi: 10.1186/s12864-016-2413-z

CrossRef Full Text | Google Scholar

Ralser, M., Querfurth, R., Warnatz, H.-J., Lehrach, H., Yaspo, M.-L., and Krobitsch, S. (2006). An efficient and economic enhancer mix for PCR. Biochem. Biophys. Res. Commun. 347, 747–751. doi: 10.1016/j.bbrc.2006.06.151

CrossRef Full Text | Google Scholar

Remenant, B., Coupat-Goutaland, B., Guidot, A., Cellier, G., Wicker, E., Allen, C., et al. (2010). Genomes of three tomato pathogens within the Ralstonia solanacearum species complex reveal significant evolutionary divergence. BMC Genomics 11:379. doi: 10.1186/1471-2164-11-379

CrossRef Full Text | Google Scholar

Remenant, B., de Cambiaire, J.-C., Cellier, G., Jacobs, J. M., Mangenot, S., Barbe, V., et al. (2011). Ralstonia syzygii, the Blood Disease Bacterium and some Asian R. solanacearum strains form a single genomic species despite divergent lifestyles. PLoS One 6:e24356. doi: 10.1371/journal.pone.0024356

CrossRef Full Text | Google Scholar

Richter, A., Streubel, J., Blücher, C., Szurek, B., Reschke, M., Grau, J., et al. (2014). A TAL effector repeat architecture for frameshift binding. Nat. Commun. 5, 3447. doi: 10.1038/ncomms4447

CrossRef Full Text | Google Scholar

Römer, P., Hahn, S., Jordan, T., Strauss, T., Bonas, U., and Lahaye, T. (2007). Plant pathogen recognition mediated by promoter activation of the pepper Bs3 resistance gene. Science 318, 645–648. doi: 10.1126/science.1144958

CrossRef Full Text | Google Scholar

Safni, I., Cleenwerk, I., De Vos, P., Fegan, M., Sly, L., and Kappler, U. (2014). Polyphasic taxonomic revision of the Ralstonia solanacearum species complex: proposal to emend the descriptions of R. solanacearum and R. syzygii and reclassify current R. syzygii strains as Ralstonia syzygii subsp. syzygii, R. solanacearum phylotype IV. Int. J. Syst. Evol. Microbiol. 64, .3087–3103. doi: 10.1099/ijs.0.066712-0

CrossRef Full Text | Google Scholar

Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., et al. (2012). Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682. doi: 10.1038/nmeth.2019

CrossRef Full Text | Google Scholar

Schütze, K., Harter, K., and Chaban, C. (2009). Bimolecular fluorescence complementation (BiFC) to study protein-protein interactions in living plant cells. Methods Mol. Biol. 479, 189–202. doi: 10.1007/978-1-59745-289-2_12

CrossRef Full Text | Google Scholar

Strauss, T., van Poecke, R. M. P., Strauss, A., Römer, P., Minsavage, G. V., and Singh, S. (2012). RNA-seq pinpoints a Xanthomonas TAL-effector activated resistance gene in a large-crop genome. Proc. Natl. Acad. Sci. U.S.A. 109, 19480–19485. doi: 10.1073/pnas.1212415109

CrossRef Full Text | Google Scholar

Supriadi. (2005). “Present status of Blood Disease in Indonesia,” in Bacterial Wilt Disease and the Ralstonia solanacearum Species Complex, eds C. Allen, P. Prior, and A. Hayward (St. Paul, MN: American Phytopathological Society Press), 395–405.

Google Scholar

Tian, D., Wang, J., Zeng, X., Gu, K., Qiu, C., Yang, X., et al. (2014). The rice TAL effector-dependent resistance protein XA10 triggers cell death and calcium depletion in the endoplasmic reticulum. Plant Cell 26, 497–515. doi: 10.1105/tpc.113.119255

CrossRef Full Text | Google Scholar

Van den Ackerveken, G., Marois, E., and Bonas, U. (1996). Recognition of the bacterial avirulence protein AvrBs3 occurs inside the host plant cell. Cell 87, 1307–1316. doi: 10.1016/S0092-8674(00)81825-5

CrossRef Full Text | Google Scholar

Wang, C., Zhang, X., Fan, Y., Gao, Y., Zhu, Q., Zheng, C., et al. (2015). XA23 Is an executor R protein and confers broad-spectrum disease resistance in rice. Mol. Plant 8, 290–302. doi: 10.1016/j.molp.2014.10.010

CrossRef Full Text | Google Scholar

Wicker, E., Lefeuvre, P., de Cambiaire, J.-C., Lemaire, C., Poussier, S., and Prior, P. (2012). Contrasting recombination patterns and demographic histories of the plant pathogen Ralstonia solanacearum inferred from MLSA. ISME J. 6, 961–974. doi: 10.1038/ismej.2011.160

CrossRef Full Text | Google Scholar

Yang, B., Sugio, A., and White, F. F. (2005). Avoidance of host recognition by alterations in the repetitive and C-terminal regions of AvrXa7, a type III effector of Xanthomonas oryzae pv. oryzae. Mol. Plant Microbe Interact. 18, 142–149. doi: 10.1094/MPMI-18-0142

CrossRef Full Text | Google Scholar

Yang, B., Sugio, A., and White, F. F. (2006). Os8N3 is a host disease-susceptibility gene for bacterial blight of rice. Proc. Natl. Acad. Sci. U.S.A. 103, 10503–10508. doi: 10.1073/pnas.0604088103

CrossRef Full Text | Google Scholar

Yang, Y., and Gabriel, D. W. (1995). Intragenic recombination of a single plant pathogen gene provides a mechanism for the evolution of new host specificities. J. Bacteriol. 177, 4963–4968.

Google Scholar

Zhang, J., Yin, Z., and White, F. (2015). TAL effectors and the executor R genes. Front. Plant Sci. 6:641. doi: 10.3389/fpls.2015.00641

CrossRef Full Text | Google Scholar

Keywords: crop pathogen, effector adaptation, molecular host–pathogen co-evolution, Ralstonia solanacearum, repetitive sequence, transcription activator like effector (TALE), RipTAL, bacterial wilt

Citation: Schandry N, de Lange O, Prior P and Lahaye T (2016) TALE-Like Effectors Are an Ancestral Feature of the Ralstonia solanacearum Species Complex and Converge in DNA Targeting Specificity. Front. Plant Sci. 7:1225. doi: 10.3389/fpls.2016.01225

Received: 30 May 2016; Accepted: 02 August 2016;
Published: 17 August 2016.

Edited by:

Fabienne Vailleau, Centre Toulouse Midi-Pyrénées–INRA, France

Reviewed by:

Caitilyn Allen, University of Wisconsin–Madison, USA
Alberto P. Macho, Shanghai Center for Plant Stress Biology, China

Copyright © 2016 Schandry, de Lange, Prior and Lahaye. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Thomas Lahaye,

Present address: Orlando de Lange, Department of Electrical Engineering, University of Washington, Seattle, WA, USA