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Molecular Plant Pathology logoLink to Molecular Plant Pathology
. 2021 Nov 26;23(2):159–174. doi: 10.1111/mpp.13117

Xanthomonas transcriptome inside cauliflower hydathodes reveals bacterial virulence strategies and physiological adaptations at early infection stages

Julien S Luneau 1, Aude Cerutti 1, Brice Roux 1,2, Sébastien Carrère 1, Marie‐Françoise Jardinaud 1, Antoine Gaillac 1, Carine Gris 1, Emmanuelle Lauber 1, Richard Berthomé 1, Matthieu Arlat 1, Alice Boulanger 1,, Laurent D Noël 1
PMCID: PMC8743013  PMID: 34837293

Abstract

Xanthomonas campestris pv. campestris (Xcc) is a seed‐transmitted vascular pathogen causing black rot disease on cultivated and wild Brassicaceae. Xcc enters the plant tissues preferentially via hydathodes, which are organs localized at leaf margins. To decipher both physiological and virulence strategies deployed by Xcc during early stages of infection, the transcriptomic profile of Xcc was analysed 3 days after entry into cauliflower hydathodes. Despite the absence of visible plant tissue alterations and despite a biotrophic lifestyle, 18% of Xcc genes were differentially expressed, including a striking repression of chemotaxis and motility functions. The Xcc full repertoire of virulence factors had not yet been activated but the expression of the HrpG regulon composed of 95 genes, including genes coding for the type III secretion machinery important for suppression of plant immunity, was induced. The expression of genes involved in metabolic adaptations such as catabolism of plant compounds, transport functions, sulphur and phosphate metabolism was upregulated while limited stress responses were observed 3 days postinfection. We confirmed experimentally that high‐affinity phosphate transport is needed for bacterial fitness inside hydathodes. This analysis provides information about the nutritional and stress status of bacteria during the early biotrophic infection stages and helps to decipher the adaptive strategy of Xcc to the hydathode environment.

Keywords: adaptation, hrp gene cluster, hrpG, hydathode, transcriptome, type III effector, type III secretion


In planta transcriptomic analysis of Xanthomonas campestris inside cauliflower hydathodes reveals the adaptative processes at play during early infection.

graphic file with name MPP-23-159-g003.jpg

1. INTRODUCTION

Xanthomonas campestris pv. campestris (Xcc) is a seed‐transmitted vascular pathogen causing black rot disease on Brassicaceae. This bacterium has a complex lifestyle composed of both epiphytic and endophytic stages (Vicente & Holub, 2013) that have been studied using molecular genetics since the 1980s (Daniels et al., 1984). Xcc epiphytic life is associated with environmental stresses such as UV light or dehydration and relies, for instance, on the production of xanthan exopolysaccharides (EPS) or protective pigments such as xanthomonadin. Upon favourable conditions, Xcc will gain access into the leaf inner tissues via wounds or hydathodes (Cerutti et al., 2017).

Hydathodes are plant organs mediating guttation localized at the leaf margin. Hydathodes are classically composed of an epidermis with water pores resembling stomata and an inner loose parenchyma called epithem irrigated by numerous xylem vessels (Cerutti et al., 2019). These specific structures offer an ecological niche for pathogenic bacteria and a rapid access to xylem vessels leading to systemic vascular infections (Cerutti et al., 2017). However, only a few pathogens have been demonstrated to colonize this niche and the conditions driving hydathode infection are poorly understood (Carlton et al., 1998; Cerutti et al., 2017; Fukui et al., 1996; Hugouvieux et al., 1998; Nino‐Liu et al., 2006; Robene‐Soustrade et al., 2006). While there is no evidence of a preinvasive immunity limiting Xcc entry through water pores, a postinvasive immunity was described inside the epithem (Cerutti et al., 2017). This is best revealed by the inability of a bacterial mutant of the hypersensitive response and pathogenicity (Hrp) type III secretion (T3S) system to multiply in the epithem and to initiate vascular infections (Cerutti et al., 2017). The T3S system is responsible for the secretion and translocation of type III effector (T3E) proteins inside plant cells, where they interfere with plant physiology and suppress plant immunity (Buttner & Bonas, 2010). These results highlight the importance of immune suppression for the establishment of the infection.

Once inside hydathodes, Xcc adapts to this niche and adopts a biotrophic lifestyle: bacteria slowly multiply in the apoplastic spaces between epithem cells without causing visible tissue alterations as observed until 3 days postinfection (dpi) of cauliflower hydathodes (Cerutti et al., 2017). A switch to a necrotrophic behaviour is then observed, resulting in the almost complete digestion of the epithem at 6 dpi and Xcc vascularization. Systemic infection reaching the flowers will cause seed colonization and transmission to seedlings (Darsonval et al., 2009; Dutta et al., 2014).

During infection, Xcc may feed on guttation fluid, xylem sap or plant tissues (Duge de Bernonville et al., 2014). This process can be facilitated by high‐affinity nutrient transport systems such as TonB‐dependent transporters (TBDT) for mineral (e.g., iron) or carbohydrate nutrition (e.g., sucrose; Blanvillain et al., 2007) and a large repertoire of plant cell wall‐degrading enzymes secreted through the type II secretion (T2S) system. Such metabolic adaptations need to be finely coordinated throughout the infectious cycle. Master regulators include the rpf‐diffusible signal factor (DSF) quorum‐sensing system, sensors of nutrient availability and metabolic activity and two‐component systems. These regulation pathways allow bacterial cells to respond appropriately to diverse extracellular stimuli encountered during its life cycle, such as oxidative stress, oxygen levels, pH, temperature, and plant signals (He & Zhang, 2008; Qian et al., 2008; Tao et al., 2010). Among these regulators, some are well known to play a major role in virulence, such as the response regulator HrpG, which is, with the transcriptional regulator HrpX, the master regulator of the T3S regulon (Noël et al., 2001; Roux et al., 2015; Zhang et al., 2020).

Our knowledge of Xcc gene expression in planta remains elusive and technically challenging, especially at early stage of infection when bacterial populations are low. Indeed, most transcriptomic studies in Xcc or other Xanthomonas species have so far been performed in vitro focusing on specific regulons of the hrpG and hrpX genes in hrp‐inducing media, of the prc protease gene, of the DSF‐mediated quorum‐sensing system, or of the gum genes responsible for xanthan production (Alkhateeb et al., 2016; An et al., 2014; Chen et al., 2018; Jalan et al., 2013; Kim et al., 2016; Li et al., 2019; Liao et al., 2016; Liu et al., 2013; Noh et al., 2016; Schmidtke et al., 2012; Zhang et al., 2013). Only a few in planta transcriptomic analyses have been performed on Xanthomonas (Getaz et al., 2020; Lee et al., 2017; Li et al., 2019; Liao et al., 2019) and all at late stages of infection and/or in comparison to in vitro‐grown bacteria. Such in planta transcriptomic approaches would help identify new pathogenic behaviours and adaptation to the host during the infection process and in the different tissues colonized. Such approaches are also good descriptors of the environmental conditions and stresses imposed by the host on the bacterial pathogen (Nobori et al., 2018).

In this study, we compare the transcriptome of Xcc inside cauliflower hydathodes 4 or 72 hr after inoculation, that is, during the biotrophic stage of infection, to determine Xcc adaptative transcriptomic responses and infer the environmental conditions met by this bacterial pathogen inside hydathodes.

2. RESULTS

2.1. Improved annotation of Xcc strain 8004 genome based on a large transcriptomic data set

Transcriptomic analyses are intrinsically dependent on the proper structural annotation of genes. To improve annotation of the Xcc strain 8004 using experimental expression data, we produced the transcriptome of two nearly isogenic strains grown in MOKA medium: wildtype strain 8004 and strain 8004::hrpG*, which expresses the constitutively active variant E44K of the hrp response regulator HrpG (Guy et al., 2013b) (see later for comparative analysis of the HrpG regulon). Total RNAs were extracted from exponentially growing bacteria and subjected to ribodepletion as described (Roux et al., 2015). Small (<200 nucleotides [nt]) and large (>200 nt) RNA fractions were subjected to paired‐end and single‐end strand‐specific sequencing, respectively. RNAs protected by a 5′ triphosphate group in the small RNA fraction were used to map precisely the transcriptional start sites. Those 13 libraries corresponding to 88,130,260 and 135,564,422 reads from small and large RNA fractions, respectively, were used to refine genomic annotation. More than 1,724 transcriptional starts (5′ untranslated regions [UTRs]) and 1,246 3′ UTRs could be experimentally defined (Table 1, https://dx.doi.org/10.25794/reference/id52ofys). The predicted translational start site was modified for 1,164 coding sequences (CDSs) and 753 small noncoding RNAs (ncRNAs) were evidenced. These results highlight the importance of experimentally supported genome annotations and offer improved resources for the functional analysis of Xcc transcriptome.

TABLE 1.

Impact of transcriptomic data on the de novo annotation of Xanthomonas campestris pv. campestris (Xcc) strain 8004 genome

RNA‐Seq data useda All genes mRNAb rRNAc operon tRNAd Other ncRNAe 5ʹ UTRf 3ʹ UTRg Reference Accession number
No 4,333 4,273 2 53 1 Qian et al. (2005) NCBI CP000050.1
No 4,631 4,478 2 54 93 NCBI NCBI NC_007086.1
Yes 5,431 4,617 2 55 753 1724 1,246 This study https://doi.org/10.25794/reference/id52ofys
a

Use of merged transcriptomic datasets from Xcc strain 8004 derivatives (wild type or 8004::hrpG*) grown in vitro in MOKA medium.

b

Protein coding sequence.

c

Ribosomal RNA.

d

Transfer RNA.

e

Noncoding RNA.

f

5ʹ untranslated region.

g

3ʹ untranslated region.

2.2. Xcc transcriptome remodelling at early stages of hydathode infection

To capture a proxy of the physiological status of Xcc at the early stage of plant leaf infection, we performed RNA sequencing (RNA‐Seq) on bacteria harvested from cauliflower hydathodes 72 hr after a rapid (15 s) dip inoculation of an attached leaf (Figure 1a). This 72 hr postinoculation (hpi) time point corresponds to a biotrophic phase of the infection where the bacteria are still limited to the epithemal apoplastic spaces (Cerutti et al., 2017). After 4 hr of continuous immersion of a detached leaf in the bacterial suspension (Figure 1a), c.105 cfu/hydathode is detected similar to the bacterial titres at 72 hpi (Figure S1). Calculation of sample‐to‐sample Euclidian distances indicated that the 4 hpi transcriptomes cluster with the 72 hpi timepoints rather than with in vitro samples (Figure S2a). This 4 hpi condition was thus chosen as the reference condition because it allows the narrow comparison of two bacterial populations in contact with plant tissues for 4 and 72 hr and a focus on bacterial adaptation to the plant environment. This 4 hpi condition cannot serve to analyse the changes occurring at the hydathode entry step because of the lack of reference transcriptomic data from bacteria coming from the initial inoculum. However, this timepoint is a relevant reference to investigate bacterial acclimation to the hydathode environment.

FIGURE 1.

FIGURE 1

Xanthomonas campestris pv. campestris (Xcc) undergoes a massive transcriptional reprogramming during hydathode infection. (a) Schematic representation of in planta RNA sample preparation. Four‐week‐old cauliflower leaves were dip inoculated in a bacterial suspension for either 4 hr (upper panel) or 15 s followed by 72 hr incubation (lower panel) before hydathodes are sampled. At least 1,000 hydathodes are collected per replicate and sonicated in an RNA protect solution. RNAs were extracted from the supernatant before RNA sequencing. (b) Genomewide expression profile of Xcc in hydathodes at 72 hr postinoculation (hpi) versus 4 hpi. Each point represents a gene for which the change in expression level is given as the log2 fold change between 72 and 4 hpi into hydathodes. Differentially expressed genes (DEGs) are represented in red if induced or in blue if repressed between the two time points. Nondifferentially expressed genes are in grey. Genes under the control of the HrpG regulator (i.e., found differentially expressed in the 8004::hrpG* vs. 8004) and found differentially expressed at 72 vs. 4 hpi in hydathodes are coloured in dark red (upregulated) and dark blue (downregulated). (c) Venn diagram showing the total number of DEGs (|log2FC| > 2, FDR < 0.05) obtained after growth of the Xcc 8004 wildtype (WT) strain in MOKA‐rich medium as compared to either the 8004::hrpG* mutant in MOKA (in red), the WT strain after 4 hr into hydathodes (in blue) or the WT strain after 72 hr into hydathodes (in green)

During hydathode infection (72 versus 4 hpi), Xcc massively reshaped its transcriptome with 828 differentially expressed genes (DEGs) corresponding to 18% of Xcc CDSs (Figure 1b, Tables S1 and S2). A Gene Ontology (GO) enrichment analysis identified 18 biological processes, such as catabolism, stress response and transport, that were significantly enriched in upregulated genes (Table 2). On the other hand, 13 GO terms were enriched among downregulated genes, with a strong overrepresentation of motility and chemotaxis categories (Table 2).

TABLE 2.

GO terms of biological processes enriched among Xanthomonas campestris pv.campestris genes differentially expressed in hydathodes (72 vs. 4 hr postinoculation)

GO.ID Term Annotateda Significantb Expectedc Adjusted p values
Upregulated
GO:0006073 Cellular glucan metabolic process 19 11 1.89 1.8 × 10−8
GO:0055114 Oxidation‐reduction process 399 74 39.78 8.9 × 10−8
GO:0070814 Hydrogen sulphide biosynthetic process 5 5 0.5 9.5 × 10−6
GO:0005992 e Trehalose biosynthetic process d 5 5 0.5 9.5 × 10−6
GO:0006950 Response to stress 123 25 12.26 0.00063
GO:0019344 Cysteine biosynthetic process 6 4 0.6 0.00123
GO:0009251 Glucan catabolic process 11 5 1.1 0.00263
GO:0043649 Dicarboxylic acid catabolic process 7 4 0.7 0.00265
GO:0044247 Cellular polysaccharide catabolic process 8 4 0.8 0.00361
GO:0009306 Protein secretion 46 11 4.59 0.00435
GO:0043623 Cellular protein complex assembly 18 6 1.79 0.00612
GO:0006457 Protein folding 18 6 1.79 0.00612
GO:0098661 Inorganic anion transmembrane transport 15 5 1.5 0.01230
GO:0098869 Cellular oxidant detoxification 30 7 2.99 0.02468
GO:0044419 Interspecies interaction between organisms 12 4 1.2 0.02506
GO:0005975 Carbohydrate metabolic process 201 39 20.04 0.03559
GO:0006817 Phosphate ion transport 8 3 0.8 0.03753
GO:0016311 Dephosphorylation 33 7 3.29 0.04006
Downregulated
GO:0006935 Chemotaxis 44 36 3.12 <10−30
GO:0097588 Archaeal or bacterial‐type flagellum‐dependent cell motility 23 23 1.63 9.4 × 10−28
GO:0007165 Signal transduction 175 51 12.4 1.7 × 10−22
GO:0044781 Bacterial‐type flagellum organization 16 16 1.13 2.2 × 10−19
GO:0030031 Cell projection assembly 16 13 1.13 3.5 × 10−13
GO:0000160 Phosphorelay signal transduction system 133 23 9.43 3.5 × 10−5
GO:0000272 Polysaccharide catabolic process 27 7 1.91 0.0021
GO:0007155 Cell adhesion 5 3 0.35 0.0031
GO:0048870 Cell motility 25 25 1.77 0.0039
GO:0071554 Cell wall organization or biogenesis 40 6 2.83 0.0149
GO:0006468 Protein phosphorylation 79 11 5.6 0.0215
GO:0015031 Protein transport 81 12 5.74 0.0295
GO:0000302 Response to reactive oxygen species 11 3 0.78 0.0378
a

Number of genes annotated for a given GO term.

b

Number of differentially regulated genes among the genes annotated for a given GO term.

c

Expected number of differentially regulated genes if no significant enrichment.

d

Terms for which all annotated genes are differentially regulated are highlighted in bold.

2.3. Motility and chemotaxis of Xcc are strongly repressed processes inside hydathodes

Expression of most genes coding for biosynthesis of flagella and type IV pili and chemotaxis such as fliC (XC_2245, 85‐fold decrease) were strongly repressed at 72 hpi compared to 4 hpi. Motility and chemotaxis are key components of pathogenicity, especially for plant pathogens (Matilla & Krell, 2018). However, Xcc seems not to be flagellated when growing in xylem fluids and the motile Xcc cells seemed less pathogenic on cauliflower and radish (Kamoun & Kado, 1990). These observations suggest a probable fitness cost of motility during plant tissue colonization. To investigate the importance of motility in disease development, we constructed mutants in key genes for the synthesis of type IV pili (∆pilE and ∆pilA) or flagella (∆fliC and ∆fliQ). Single and multiple mutants were tested for in vitro motility (Figure S3a), pathogenicity (Figure S3b), and hydathode colonization (Figure 2c). Despite expected motility phenotypes in vitro (Figure S3a), none of the tested mutants affected disease symptom development or hydathode colonization (Figures S3b and 2c) as might have been expected for genes whose expression is repressed inside hydathodes. Altogether, these results suggest that motility is a process that is not needed for hydathode infection.

FIGURE 2.

FIGURE 2

Xanthomonas colonization of hydathodes. Bacterial multiplication of Xanthomonas campestris pv. campestris (Xcc) 8004 wildtype strain (WT), deletion mutants, and complemented strains in individual hydathodes 3 and 6 days after dip‐inoculation (dpi) of the second true leaf of 4‐week‐old cauliflower plants. The box plot representations show the impact of mutations (a) in the T3SS hrpG regulator, (b) in the phosphate and sulphate transport genes, and (c) in the motility genes over Xcc multiplication into hydathodes. Each point of the plot represents the population extracted from one hydathode. At least eight hydathodes were sampled on one leaf per plant and three plants were used per experiment, though not all hydathodes were infected. Results from at least three independent experiments were pooled and a total of at least 50 infected hydathodes were counted for each strain. Letters indicate statistically different groups obtained from the Kruskal–Wallis test on all data points for each strain with an error of α = 0.05

2.4. Activation of the HrpG regulon at an early stage of hydathode infection

HrpG is a known master regulator required for the expression of the T3S machinery, T3E proteins, and additional genes including plant cell wall‐degrading enzymes (PCWDEs) in Xanthomonas spp. (Noël et al., 2001; Roux et al., 2015). In Xcc, expression of hrpG and 49 (out of 55) genes coding for the T3S system and type III‐secreted proteins was induced at 72 hpi, suggesting the involvement of HrpG at this stage of infection (Tables S1 and S3‐3). We thus investigated the biological importance of hrpG during hydathode infection and studied its regulon.

The 8004 ∆hrpG mutant showed a 10‐fold reduced multiplication in hydathodes at 72 hpi (Figure 2a) and was avirulent on cauliflower after wound inoculation (Figure S3b). Both phenotypes could be complemented (Figures 2a and S3b). These results are expected because this mutant no longer expresses the T3SS, an essential virulence factor for Xcc.

To study the HrpG regulon independently of Xcc growth conditions, we decided to take advantage of a point mutation known to mimic HrpG phosphorylation, yielding a constitutively active form of HrpG named HrpG* (Wengelnik et al., 1999). This hrpG* (E44K) gain‐of‐function mutation conferring constitutive expression of the HrpG regulon in vitro did not affect the multiplication of Xcc in cauliflower hydathodes (Figure 2a) nor its pathogenicity after wound inoculation relative to the wildtype strain or EPS production (Figure S3b,c). These results suggest that the gain‐of‐function mutation carried by HrpG* and overexpression of T3SS (see below) do not affect virulence under the inoculation protocol used.

To determine the extent of the HrpG regulon, we compared the transcriptomes of the 8004::hrpG* and wildtype strains grown in MOKA medium (Tables S1 and S2). Wildtype strain 8004 does not express hrp genes in MOKA in contrast to strain 8004::hrpG*. Analysis of the HrpG regulon identified 95 DEGs (log2(fold change) ≥2 or ≤−2, false discovery rate (FDR) adjusted p value <0.05) (Table S1). Among the 85 genes with an increased expression in strain 8004::hrpG*, 43 possess a plant‐inducible promoter box (PIP box) and are thus probably under hrpX control (Table S1). Thirty‐nine of the 95 DEGs correspond to genes involved in T3SS and T3Es (in red and blue in Table S1, respectively) explaining the enrichment in the GO term “secretion” (GO:0,046,903) among genes upregulated in strain 8004::hrpG* (Table 3). Expression of only 18 out of the 30 genes encoding type III secreted proteins was increased in strain 8004::hrpG* compared to 24 genes at 72 hpi inside hydathodes (Table S3‐3 and Figure S2c). Among the other 56 DEGs of the HrpG regulon, 26 encode proteins with unknown function and 19 PCWDEs. Altogether, these results illustrate that the HrpG regulon is not limited to the T3SS and T3Es, and that a part of Xcc's effectome expression regulation could rely on a HrpG/HrpX‐independent pathway in planta.

TABLE 3.

GO terms of biological processes enriched among Xanthomonas campestris pv.campestris genes belonging to the HrpG regulon

GO.ID Term Annotateda Significantb Expectedc Adjusted p values
BIOLOGICAL PROCESS
Upregulated
GO:0002790 Peptide secretion 46 9 0.91 1.5 × 10−7
GO:0009306 Protein secretion 46 9 0.91 1.5 × 10−7
GO:0032940 Secretion by cell 47 9 0.93 1.8 × 10−7
GO:0046903 Secretion 47 9 0.93 1.8 × 10−7
GO:0015031 Protein transport 81 10 1.61 2.5 × 10−6
GO:0008104 Protein localization 85 10 1.69 3.9 × 10−6
GO:0015833 Peptide transport 85 10 1.69 3.9 × 10−6
GO:0045184 Establishment of protein localization 85 10 1.69 3.9 × 10−6
GO:0042886 Amide transport 86 10 1.71 4.3 × 10−6
GO:0033036 Macromolecule localization 96 10 1.91 1.2 × 10−5
GO:0071705 Nitrogen compound transport 120 10 2.38 8.6 × 10−5
GO:0071702 Organic substance transport 142 10 2.82 0.00035
GO:0044419 Interspecies interaction between organisms 12 3 0.24 0.00143
GO:0051704 Multiorganism process 21 3 0.42 0.00763
Downregulated
GO:0000272 Polysaccharide catabolic process 27 3 0.08 5.6 × 10−5
GO:0009057 Macromolecule catabolic process 58 3 0.18 0.00057
GO:0016052 Carbohydrate catabolic process 61 3 0.19 0.00066
GO:0005976 Polysaccharide metabolic process 64 3 0.2 0.00076
GO:0005975 Carbohydrate metabolic process 201 4 0.63 0.00198
MOLECULAR FUNCTION
Upregulated
GO:0016301 Kinase activity 176 8 2.71 0.0046
GO:0001067 Regulatory region nucleic acid binding 27 3 0.42 0.0077
GO:0044212 Transcription regulatory region DNA binding 27 3 0.42 0.0077
GO:0016798 Hydrolase activity, acting on glycosyl bonds 83 5 1.28 0.0081
Downregulated
GO:0004175 Endopeptidase activity 57 3 0.17 0.00045
GO:0004252 Serine‐type endopeptidase activity 30 2 0.09 0.00315
GO:0070011 Peptidase activity, acting on L‐amino acid peptides 128 3 0.38 0.00477
GO:0008233 Peptidase activity 152 3 0.45 0.00774
GO:0016829 Lyase activity 158 3 0.46 0.00863
GO:0008236 Serine‐type peptidase activity 53 2 0.16 0.00964
GO:0017171 Serine hydrolase activity 53 2 0.16 0.00964
a

Number of genes annotated for a given GO term.

b

Number of differentially regulated genes among the genes annotated for a given GO term.

c

Expected number of differentially regulated genes if no significant enrichment.

The HrpG regulon was almost entirely included in the in planta transcriptome (90 out of 95 genes), indicating that HrpG is activated during hydathode infection (Figures 1b,c and S2b). Eighteen genes of the HrpG regulon were overexpressed at 4 hpi in comparison to the MOKA condition, indicating that expression of the T3S machinery is initiated early during infection (Table S1). However, the HrpG regulon (95 genes) remains a small part of Xcc transcriptomic adaptations to in planta conditions (828 genes).

2.5. Metabolic adaptations of Xcc inside hydathodes highlight several nutritional properties of the plant environment

Among the 31 GO terms differentially enriched at the transcriptomic level, a third are involved in metabolism, indicating that Xcc undergoes an important metabolic adaptation inside the hydathode.

2.5.1. Modification of the expression profile of genes encoding PCWDEs

We observed an increased transcription of genes involved in the catabolism of cellulose, a major component of the primary cell wall, yet there was no increased expression of other PCWDE genes, nor of xps and xcs genes encoding type II secretion systems, at 72 hpi. Among the 43 genes encoding PCWDEs in Xcc strain 8004 (da Silva et al., 2002), 10 had an increased and 10 had a reduced expression at 72 hpi (Table S3‐2). These observations are consistent with the absence of visible degradation of cell walls in the epithem and suggestive of a biotrophic lifestyle (Cerutti et al., 2017).

Lignin is another major component of plant cell walls and a source of aromatic compounds. Interestingly, the expression of XC_3426 and XC_3427 genes coding for protocatechuate (PCA) 4;5‐dioxygenase subunits was increased 6‐ and 8‐fold at 72 hpi, respectively. PCA is a lignin degradation product (Brown et al., 2004) that can be further catabolized by PCA dioxygenases to enter the tricarboxylic acid (TCA) cycle (Wang et al., 2015). While XC_3426 and XC_3427 relevance for pathogenicity remains unknown, XC_0375 to XC_0383 genes cluster encoding 3‐ and 4‐hydroxybenzoate degrading enzymes are needed for full virulence of Xcc in radish (Wang et al., 2015), suggesting that degradation of plant phenolic compounds happens and matters inside plant tissues.

2.5.2. Expression of transporter genes is remodelled in planta

Broad expression changes can be observed in transporter genes as 49 out of 210 genes involved in transport were differentially expressed at 72 hpi (Tables 2 and S3‐1). Those transporters belong to the major facilitator superfamily (MFS), ATP binding cassette (ABC), and TonB‐dependent transporter (TBDT) families. TBDTs have been shown to be involved in iron and carbohydrate polymer uptake with high affinity in Xcc (Blanvillain et al., 2007; Boulanger et al., 2010; Dejean et al., 2013). Fourteen out of 72 TBDT genes were differentially expressed: seven showed an increased expression at 72 hpi while seven were repressed. While most have no known function, those for which expression is induced by polygalacturonate (PGA) were less expressed at 72 hpi (Table S3‐1) (Blanvillain et al., 2007). The expression of two TBDT genes, XC_3205 and XC_2512, which are both known to be positively regulated by HrpG and HrpX (Blanvillain et al., 2007), was induced at 72 hpi.

Interestingly, the absence of the fur regulon and its iron high affinity TBDT transporters (XC_0167, XC_3463, XC_2846, XC_1341, XC_1108, XC_0924‐0925, XC_0642, XC_4249, XC_0558, and XC_4249) in our data set suggests that iron might not be limiting at this stage of hydathode infection.

2.5.3. Upregulation of two pathways important for sulphur assimilation in hydathodes

In contrast to iron, induction of genes important for sulphur transport and assimilation was observed at 72 hpi in hydathodes, that is, the operon encoding the ABC sulphate transporter CysPUWA (XC_3292 to XC_3295) and the operon encoding an assimilatory sulphate reduction pathway leading to sulphide production (XC_0990 to XC_0994) were induced by 6‐ and 20‐fold, respectively (Table S1). Sulphide is then available for cysteine and methionine biosynthesis. Sulphur metabolism including sulphur‐containing amino acids, sulphur compounds, or sulphate has been shown to be involved in production of different virulence factors, as in xanthan production (Garcia‐Ochoa et al., 2000) or T3SS induction (Schulte & Bonas, 1992). Yet, a deletion of the entire cysPUWA operon (∆XC_3292‐95) in Xcc strain 8004 did not significantly affect bacterial multiplication in hydathodes after dip‐inoculation or disease symptom development after wound inoculation in cauliflower (Figures 2b and S3b). Thus, sulphate import through the CysPUWA system is not limiting for bacterial growth in hydathodes or sulphur might as well be acquired through other import pathways such as the taurine import system. For example, Escherichia coli responds to sulphate or cysteine starvation by expressing the ssuABCDE and tauABCD operons, which are involved in the uptake of alkanesulphonate and desulphonation of the organosulphonates and, uptake and desulphonation of taurine, respectively (Eichhorn et al., 2000; van der Ploeg et al., 1999). While ssuABCDE is absent in Xcc strain 8004, TauABCD homologues are encoded by genes of the locus XC_3454 to XC_3460. Interestingly, expression of these genes was increased at 72 hpi, suggesting a possible implication of this pathway in sulphur assimilation in planta.

2.5.4. Phosphate uptake machinery is rate limiting for Xcc multiplication inside hydathodes

After 72 hr in hydathodes, the increased expression of the genes encoding the PstSCAB high‐affinity transporter system (genes XC_2708 to XC_2711, 2‐ to 6‐fold inductions; Tables S1 and S2), involved in active inorganic phosphate (Pi) import on phosphate starvation, suggests that Pi might be limiting inside hydathodes. This system is known to be activated in various conditions in bacteria (Lamarche et al., 2008), including during plant colonization, and is essential for Xanthomonas axonopodis pv. citri (Xac) pathogenicity on citrus (Moreira et al., 2015; Pegos et al., 2014). To test if phosphate acquisition is important for Xcc strain 8004 during hydathode colonization, we mutated XC_2711 (pstB) and XC_3272, which encode a protein homologue of the PhoB response regulator important for the Ecoli Pi starvation response (Gardner & McCleary, 2019; Yang et al., 2012). The results obtained demonstrated that pstB, unlike phoB, is important for hydathode colonization (Figure 2b) and that both ∆pstB and ∆phoB mutants caused symptoms similar to the wildtype strain after direct inoculation into xylem vessels (Figure S3b). Observation of both increased expression of the high‐affinity Pi transport system and reduced multiplication of the high‐affinity phosphate transporter mutant demonstrate that Pi is limiting during hydathode infection.

Similar to Pi, expression of genes important for nitrogen assimilation such as those involved in uptake of nitrite and nitrate and their reduction to ammonia (XC_2175 to XC_2178) were induced 3‐ to 9‐fold at 72 hpi, further stressing the importance of Xcc mineral nutritional needs in hydathodes.

2.6. Xcc adapts to nutritional, osmotic, and environmental stresses in hydathodes

Surprisingly, there were limited transcriptional changes for genes associated with transcription, translation, replication, TCA cycle, or amino acid biosynthesis between 4 and 72 hpi. However, these functions are already strongly repressed at 4 hpi compared to MOKA conditions, indicating that adaptation to the plant environment is associated with a rapid repression of cellular division and core metabolism (Tables S1 and S2). Other stress‐responsive genes had an increased expression in planta such as base excision and nucleotide excision repair systems, trehalose production pathways, superoxide dismutases, and chaperone proteins. In addition, expression of the ABC transporter system OpuB‐ABC (Hoffmann et al., 2018, XC_0173 to XC_0174) and the choline degradation pathway (Wargo, 2013, XC_0760 to XC_0761), both involved in osmoprotection, were induced at 72 hpi, suggesting that bacteria face an osmotic shock in the apoplast of the epithem cells (Table S1). Finally, expression of some genes of the gum operon (XC_1658 to XC_1673) implicated in the production of the xanthan EPS were induced by 4‐ to 5‐fold at 72 hpi. Xanthan is a well‐known protectant against environmental stresses and toxic compounds, and prevents bacterium detection by plants (Kakkar et al., 2015). Altogether, these data seem to indicate that Xcc cells must cope with some nutritional, osmotic, and environmental stresses in hydathodes.

3. DISCUSSION

The Xcc life cycle depends on its adaptation to various plant environments (e.g., seeds, leaf surface, hydathodes, xylem, mesophyll, debris). This work describes the transcriptional changes that Xcc undergoes on plant infection and hydathode colonization, including the regulation of various metabolic and virulence pathways (Figure 3), and informs us about the environmental conditions faced by Xcc inside hydathodes.

FIGURE 3.

FIGURE 3

Schematic representation of main transcriptional responses of Xanthomonas campestris pv. campestris (Xcc) happening during the early stage of hydathode colonization. Genes corresponding to blue and red objects are repressed and induced between 4 and 72 hr postinoculation, respectively. Genes corresponding to grey objects are not differentially expressed. T3SS: type III secretion system; T3E: type III effector; T2SS: type II secretion system; LPS: lipopolysaccharide; PCWDE: plant cell wall‐degrading enzymes; T4P: type IV pilus. Figure drafted using biorender (https://app.biorender.com)

3.1. Xcc adopts a sedentary biotrophic lifestyle inside hydathodes

Xcc is traditionally reported to develop necrotic lesions associated with black rot disease (Vicente & Holub, 2013). However, the physiological snapshot obtained by RNA‐Seq at 72 hpi in hydathodes suggests that Xcc first behaves as a biotroph because the epithem is intact (Cerutti et al., 2017) and many genes coding for degradative enzymes, T2SS, and most catabolic pathways of sugar polymers and carbohydrates were expressed at low levels. We also observed that the constitutive activation of the HrpG regulon recapitulating part of the in planta condition at 72 hpi was associated with reduced extracellular protease activity (Figure S3d), as observed in Xanthomonas euvesicatoria (Noël et al., 2001). Xcc carbon and nitrogen needs could be supported in planta by the continuous flow of xylem sap in the epithem because xylem sap contains significant concentrations of carbohydrates, amino acids, and minerals, which can be metabolized at high affinity by Xcc (Duge de Bernonville et al., 2014). Furthermore, the expression of multiple virulence‐associated genes, such as those involved in quorum sensing, iron uptake, or motility, was also reduced at 72 hpi in hydathodes. Though motility has been shown to be an essential virulence trait for many bacterial pathogens (Chaban et al., 2015), Xcc motility mutants were not affected in pathogenicity as expected from genes whose expression is repressed in hydathodes. Repression of chemotaxis and motility has also been reported at early rice infection stages in Xanthomonas oryzae pv. oryzicola (Xoc) (Liao et al., 2019) while twitching motility and quorum sensing were both activated at later infection stages and are important for virulence of Xanthomonas oryzae pv. oryzae (Xoo) (Lee et al., 2017) and Xac (Li et al., 2019). Interestingly, an increase in the expression of genes important for twitching motility and adhesion was observed in Xcc grown in vitro in xylem sap (Duge de Bernonville et al., 2014). Xylem sap corresponds to the environment met by Xcc immediately after leaving the hydathode. These observations suggest a possible biphasic infectious process with the reactivation of the motility and other virulence‐associated genes at later infection stages. Further transcriptomic analyses of virulence gene expression throughout the entire infection cycle would be needed to support such a hemibiotrophic lifestyle of Xcc.

3.2. Stealthiness of Xcc inside hydathodes and neutralization of plant immune responses

The observed repression of chemotaxis, twitching, and swimming motility also suggests that those functions are dispensable if not detrimental once inside hydathodes. For instance, production of bacterial peptide flg22 from the flagellar FliC protein is a well‐known pathogen‐associated molecular pattern (PAMP) recognized by the FLS2 receptor and a potent elicitor of basal plant immunity (Gomez‐Gomez & Boller, 2000). While flg228004 peptide is not recognized by Arabidopsis FLS2 (Guy et al., 2013a; Sun et al., 2006), we cannot exclude that other FliC peptides, flagellar proteins, or pili proteins from Xcc strain 8004 could act as PAMPs in Brassicaceae. Xcc stealthiness could also be acquired by limiting bacterial multiplication until an efficient suppression of immunity has been achieved. In contrast to a wildtype Xcc strain, a T3S system mutant unable to deliver T3E proteins inside plant cells caused hydathode browning and necrosis at 48 hpi and had a reduced multiplication at 72 hpi (Cerutti et al., 2017). These results indicate that hydathode immune responses can be effective against bacterial pathogens and that their suppression by the Xcc T3S system and its T3E proteins is required for successful infection.

3.3. Inference of environmental conditions inside hydathodes based on Xcc transcriptomic behaviour

Xcc transcriptomic profiles can also be used to infer its metabolic and physiological status inside hydathodes and the nutritional properties of the epithem. For instance, the epithem environment is probably not limiting for assimilable iron because the corresponding uptake machinery is not expressed. In contrast, both the low‐affinity phosphate inorganic transport (Pit) and the high‐affinity phosphate‐specific transport (Pst) systems important for the uptake of inorganic phosphate (Pi) in Xanthomonas are upregulated at 72 hpi (Moreira et al., 2015; Willsky & Malamy, 1980). In Xcc, we have observed that the expression of the Pst system is induced after 72 hpi in hydathodes. Although the Pst system is under the control of the PhoB response regulator, phoB was not differentially expressed in planta at 72 hpi in agreement with PhoB regulatory activity being dependent on its phosphorylation status rather than expression level (Gardner & McCleary, 2019). Similar to Xac (Moreira et al., 2015), the Xcc Pst system is needed for growth in planta. These results demonstrate that Xcc not only faces Pi starvation inside hydathodes but that Pi availability also limits Xcc proliferation in this tissue. Very low Pi concentrations are indeed found in the guttation fluids of several plant species, such as barley, (Nagai et al., 2013) and are correlated with expression of genes coding for plant high‐affinity Pi transporters such as AtPHT1;4 in hydathodes even under Pi‐sufficient conditions (Misson et al., 2004). These observations suggest that an active competition between the plant and Xcc for access to Pi occurs in the epithem. Similar to Pi, Xcc transcriptome at 72 hpi also suggests that sulphur and nitrogen are present in low amounts, requiring the upregulation of dedicated uptake systems. Yet, it remains unclear whether these elements are limiting for growth of Xcc inside hydathodes. Exposure to stresses is also unveiled by the transcriptomic upregulation of genes involved in responses to general stress (e.g., gum genes) and osmotic stress. However, it remains uncertain whether osmotic stress is intrinsic of the epithemal environment or whether it is caused by plant immunity. For instance, we could not find significant evidence of oxidative stresses classically associated with strong plant immune responses. Therefore, Xcc seems to adapt rapidly to the low concentrations of nutrients found in the epithem and to endure limited stress, maybe due to the continuous flow of fluids inside hydathodes that renews nutrient supplies and dilutes potential antibacterial compounds.

Such a global gene expression study provides a picture of the bacterial population in planta and will feed future functional genomic approaches to Xcc pathogenicity.

4. EXPERIMENTAL PROCEDURES

4.1. Bacterial strains, plasmids, and growth conditions

The list of strains and plasmids used in this study is provided in Table S4. Xcc was cultivated in MOKA medium (4 g/L yeast extract, 8 g/L casamino acids, 1 mM MgSO4, 2 g/L K2HPO4) at 28 °C under agitation at 200 rpm or on MOKA‐agar plates (Blanvillain et al., 2007). Ecoli TG1 and strain‐carrying pRK2073 helper plasmid were cultivated in liquid Luria Bertani (LB) medium under agitation or on LB agar plates at 37 °C. Antibiotics were used at the following concentrations: 50 µg/ml rifampicin, 50 µg/ml kanamycin, and 40 µg/ml spectinomycin.

4.2. Mutagenesis and complementation

In‐frame deletion mutants of Xcc were obtained by double recombination with derivatives of the suicide plasmid pK18mobSacB as described (Schafer et al., 1994). Sequences flanking the deletion were amplified from Xcc strain 8004 genomic DNA and introduced into pK18mobSacB by Gibson assembly (Gibson et al., 2009). For complementation, the CDS was amplified from Xcc strain 8004 genomic DNA and cloned by Gibson assembly into plasmid pK18_CompR3, a pK18mobSacB derivative containing a pTac promoter and a T7 terminator region from pCZ1016 (Dejean et al., 2013) flanked by XC_1301 and XC_1302 sequences to drive stable insertion at the XC_1301/XC_1302 interval. For genes lacking a ribosome‐binding site (RBS) in their upstream region, the RBS from plasmid pK18‐GUS‐GFP (Cerutti et al., 2017) was inserted downstream of the pTac promoter, giving pK18_compR3_RBS. All plasmids were conjugated into Xcc 8004::GUS‐GFP derivatives by triparental mating with the Ecoli TG1 carrying pRK2073 helper plasmid as described (Cerutti et al., 2017; Ditta et al., 1980; Figurski & Helinski, 1979). The sequences of oligonucleotides used to construct deletion and complementation plasmids are listed in Table S5. The growth of all strains was assessed in MME and MOKA media (Figure S4).

4.3. Plant growth conditions

Brassica oleracea var .botrytis ‘Clovis F1’ (cauliflower) was grown under greenhouse conditions. Four‐week‐old plants were transferred 1 day before inoculations in a growth chamber (9 hr light, 22 °C, 70% relative humidity).

4.4. Preparation of biological samples used for RNA‐Seq

For in vitro RNA‐Seq experiments, RNAs were extracted from Xcc strains grown in MOKA medium to exponential phase (OD600 nm between 0.5 and 0.7), harvested by filtration as described (Roux et al., 2015), and stored at −80 °C.

For in planta RNA‐Seq experiments, RNA was extracted from infected hydathodes sampled from the first three cauliflower leaves after inoculation by continuous or transient dipping in a bacterial suspension of 108 cfu/ml as described (Cerutti et al., 2017) using 0.01% of SILWET‐L77 (DE SANGOSSE) (Figure 1a). These first three leaves of 4‐week‐old plants show mature hydathodes on leaf margins that can be successfully infected with Xcc. For inoculations by continuous dipping, detached leaves were dipped in the bacterial suspension for 4 hr and hydathodes were immediately harvested. For inoculations by transient dipping, leaves (attached to the plant) were dipped in a bacterial suspension for c.15 s. Plants were placed in a domed propagator, watered, and covered for a day and a half (95%–100% humidity). Hydathodes were harvested 72 hpi. To determine the level of infection of hydathodes under both continuous and transient dipping inoculation protocols, the bacterial populations were determined at 4 and 72 hpi in 24 and 30 individual hydathodes, respectively (Figure S1b), as described below. Based on those results, these two inoculation methods allow the comparison of similar bacterial populations (around 105 bacteria per hydathode) having spent either 4 or 72 hr inside hydathodes.

To collect hydathodes, leaves were briefly rinsed twice in sterile distilled water and dried on a paper towel prior to harvesting. At least 1,000 hydathodes were macrodissected per condition with a 1.5 mm diameter punch. Collected tissues were immediately placed in RNA Protect Bacteria Reagent (Qiagen, 2:1 [vol/vol] of RNA Protect and RNase‐free water). After 3 min sonication in a water bath, the supernatant was recovered and centrifuged for 10 min at 5,000 × g. The pellet was stored at −80 °C. Three independent biological replicates were sampled.

4.5. RNA extractions, ribodepletion, and sequencing

RNA extraction and ribodepletion were performed as previously described (Sallet et al., 2013). Oligonucleotide probes used for RNA depletion were directed against Xanthomonas rRNA and 2 tRNA (Ile and Ala) (Roux et al., 2015) and for plant‐derived samples probes targeting Arabidopsis and Brassica oleracea rRNA and major chloroplastic RNA (Sallet et al., 2013) (Table S5). RNAs were fractionated into short (<200 nt) and long (>200 nt) RNA fractions using Zymo Research RNA Clean & Concentrator TM‐5 columns (Proteigene) and subjected to oriented sequencing (see Supplementary material and methods for detailed procedures). Raw sequence data were submitted to the Sequence Read Archive (SRA) database (accessions SRP280320 and SRP280329).

4.6. Reannotation of Xcc strain 8004 genome sequence

Annotation of X. campestris pv. campestris strain 8004 genome was performed using EuGene‐PP (Sallet et al., 2013) (EuGene‐PP v. 1.0, eugene‐4.1c) with SRP280320 RNA libraries and Xcampestris pv. campestris strains 8004, ATCC33913, and B100 public annotations GCA_000012105.1, GCA_000007145.1, and GCA_000070605.1, respectively (Qian et al 2005; Vorholter et al., 2008). This new annotation is available at https://dx.doi.org/10.25794/reference/id52ofys.

4.7. Analysis of RNA‐Seq results and statistical analysis

Mapping of RNA‐Seq reads was performed on the Xcc strain 8004 reannotated genome sequence (Qian et al., 2005, Genbank accession number CP000050.1) and when appropriate on sequences of B. oleracea nuclear genome (Brassica_oleracea v. 2.1.31; accession GCA_000695525.1), B. oleracea mitochondrial genome (accession NC_016118.1), and Brassica rapa chloroplastic genome (BRARA_CHL, accession NC_040849.1) as described (Roux et al., 2015).

DEGs were detected with EdgeR Bioconductor package v. 3.30.3 (Robinson & Smyth, 2008). Genes with no counts across all libraries were discarded. Normalization was performed using the trimmed mean of M‐values method (Robinson & Oshlack, 2010). Quality control plots of normalized data sets and reproducibility of biological repeats were generated by principal component analysis using the Ade4 v. 7‐15 package (Dray & Dufour, 2007) and heatmaps obtained with the package pheatmap v. 1.0.12 (Raivo Kolde (2015). pheatmap: Pretty Heatmaps. R package v. 1.0.8. https://CRAN.R‐project.org/package=pheatmap) on sample‐to‐sample Euclidean distances.

Fitted generalized linear models (GLMs) with a design matrix multiple factor (biological repetition and factor of interest) were designed. The Cox–Reid profile‐adjusted likelihood (CR) method in estimating dispersions was used. DEGs were called using the GLM likelihood ratio test using a false discovery rate (FDR) (Benjamini & Yekutieli, 2001) adjusted p value < 0.05. Clustering on filtered DEG (p < 0.05 in at least one biological condition) was generated with heatmap.2 function as available in the gplots Bioconductor package v. 3.0.1. (Warnes et al., 2015) using Ward's minimum variance clustering method on Euclidean (Murtagh & Legendre, 2014). Analysis of GO enrichment was conducted using the topGO package v. 2.40.0 (Alexa et al., 2006).

4.8. Infection of hydathodes and measurement of bacterial population

For hydathode infection, the second true leaf of cauliflower plants was dip‐inoculated in a bacterial suspension at 108 cfu/ml in 1 mM MgCl2 containing 0.5% (vol/vol) Tween 80. To determine Xcc populations in single hydathodes, hydathodes were collected at 3 or 6 dpi by macrodissection with a 1.5 mm diameter punch. Eight hydathodes were sampled per leaf and individually placed in 200 µl of 1 mM MgCl2. After bead‐assisted grinding at 30 Hz for 2 min using a Retsch MM400 grinder, 5 µl droplets of serial dilutions were spotted on MOKA plates supplemented with 30 µg/ml pimaricin in three technical replicates and incubated at 28 °C for 2–3 days. Individual colonies were counted and the mean of the three technical replicates was calculated to estimate the infection level of each hydathode. Experiments were performed on three plants per condition and in three independent biological replicates.

Significance of differences observed in bacterial population quantifications and bacterial pathogenicity assays were assessed using the nonparametric Kruskal–Wallis test with α = 0.05.

CONFLICT OF INTEREST

The authors declare no conflict of interest.

Open research badges

This article has earned an Open Data badge for making publicly available the digitally‐shareable data necessary to reproduce the reported results. The data is available at https://dx.doi.org/10.25794/reference/id52ofys.

Supporting information

 

 

 

 

 

 

 

 

 

 

ACKNOWLEDGEMENTS

A.C. and J.L. were funded by a PhD grant from the French Ministry of Higher Education, Research and Innovation. B.R., E.L., A.C., M.A., and L.D.N. were funded by grants from the Agence Nationale de la Recherche XANTHOMIX (ANR‐2010‐GENM‐013‐02), Xopaque (ANR‐10‐JCJC‐1703‐01), and NEPHRON (ANR‐18‐CE20‐0020‐01). We are grateful to Stéphanie Bolot for management and early analysis of the Xanthomix data set. J.L., E.L., A.B., R.B., M.A., and L.D.N. were funded by the XBOX (ANR‐19‐CE20‐JCJC‐0014‐01) project. The Laboratoire des Interactions Plantes‐Microbes‐Environnement is part of the French Laboratory of Excellence project (TULIP ANR‐10‐LABX‐41; ANR‐11‐IDEX‐0002‐02). All authors benefited from the COST action CA16107 EuroXanth.

Luneau, J.S. , Cerutti, A. , Roux, B. , Carrère, S. , Jardinaud, M.‐F. , Gaillac, A. , et al. (2022) Xanthomonas transcriptome inside cauliflower hydathodes reveals bacterial virulence strategies and physiological adaptations at early infection stages. Molecular Plant Pathology, 23, 159–174. 10.1111/mpp.13117

Julien S. Luneau and Aude Cerutti contributed equally to this work.

DATA AVAILABILITY STATEMENT

Genome annotation accession numbers and sequence read archive accession numbers for RNA‐Seq libraries are openly available as indexed in Tables 1 and 4, respectively.

TABLE 4.

Properties of RNAseq libraries from Xcc strain 8004 wild‐type and derivatives grown in vitro or harvested from cauliflower hydathodes

RNA size Strain Condition Biological replicates Number of raw reads Uniquely mapped reads Xcc and Brassica (%)a Hits Brassica genes (%)b Hits Xcc genes (%)c Accessiond
Long RNAs fraction 8004 MOKA 3 22 503 680 93.58 9,472 SRR12603737
31 781 601 88.67 9,449 SRR12603738, SRR12603725
29 317 932 88.54 9,421 SRR12603739, SRR12603726
Small RNAs fraction 3 14 141 422 SRR12603734
13 443 960 SRR12603735
13 423 070 SRR12603736
Long RNAs fraction 8004::hrpG* MOKA 3 21 746 450 9,587 9,358 SRR12603727
14 282 665 94.84 9,411 SRR12603728
15 932 094 95.08 9,457 SRR12603729
Small RNAs fraction 4 10 314 675 SRR12603720
11 898 842 SRR12603721
10 794 476 SRR12603722
14 113 815 SRR12603733
8004 Cauliflower hydathodes 4 hpi 3 158 422 507 33.42 6,245 1,332 SRR12603813, SRR12603814, SRR12603815
150 271 178 23.49 6,621 1,063 SRR12603810, SRR12603811, SRR12603812
173 591 985 41.15 6,794 1,012 SRR12603804, SRR12603805, SRR12603806
8004 Cauliflower hydathodes 72 hpi 3 164 579 058 38.59 5,519 1,640 SRR12603816, SRR12603817, SRR12603818
163 894 181 38.47 5,256 2,727 SRR12603801, SRR12603802, SRR12603803
143 337 188 27.63 73.48 1.61 SRR12603807. SRR12603808, SRR12603809
a

Percentage of raw reads mapped uniquely to the sequences of Xcc strain 8004 chromosome (Genbank accession number CP000050.1), Brassica oleracea nuclear and mitochondrial genomes (Accession GCA_000695525.1, NC_016118.1), and Brassica rapa chloroplastic genome (BRARA_CHL, accession NC_040849.1).

b

Percentage of unique hits to the genes of Brassica oleracea nuclear and mitochondrial genomes and Brassica rapa chloroplastic genome.

c

Percentage of unique hits to the genes of Xcc strain 8004.

d

Sequence Read Archive accession number.

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Associated Data

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Supplementary Materials

 

 

 

 

 

 

 

 

 

 

Data Availability Statement

Genome annotation accession numbers and sequence read archive accession numbers for RNA‐Seq libraries are openly available as indexed in Tables 1 and 4, respectively.

TABLE 4.

Properties of RNAseq libraries from Xcc strain 8004 wild‐type and derivatives grown in vitro or harvested from cauliflower hydathodes

RNA size Strain Condition Biological replicates Number of raw reads Uniquely mapped reads Xcc and Brassica (%)a Hits Brassica genes (%)b Hits Xcc genes (%)c Accessiond
Long RNAs fraction 8004 MOKA 3 22 503 680 93.58 9,472 SRR12603737
31 781 601 88.67 9,449 SRR12603738, SRR12603725
29 317 932 88.54 9,421 SRR12603739, SRR12603726
Small RNAs fraction 3 14 141 422 SRR12603734
13 443 960 SRR12603735
13 423 070 SRR12603736
Long RNAs fraction 8004::hrpG* MOKA 3 21 746 450 9,587 9,358 SRR12603727
14 282 665 94.84 9,411 SRR12603728
15 932 094 95.08 9,457 SRR12603729
Small RNAs fraction 4 10 314 675 SRR12603720
11 898 842 SRR12603721
10 794 476 SRR12603722
14 113 815 SRR12603733
8004 Cauliflower hydathodes 4 hpi 3 158 422 507 33.42 6,245 1,332 SRR12603813, SRR12603814, SRR12603815
150 271 178 23.49 6,621 1,063 SRR12603810, SRR12603811, SRR12603812
173 591 985 41.15 6,794 1,012 SRR12603804, SRR12603805, SRR12603806
8004 Cauliflower hydathodes 72 hpi 3 164 579 058 38.59 5,519 1,640 SRR12603816, SRR12603817, SRR12603818
163 894 181 38.47 5,256 2,727 SRR12603801, SRR12603802, SRR12603803
143 337 188 27.63 73.48 1.61 SRR12603807. SRR12603808, SRR12603809
a

Percentage of raw reads mapped uniquely to the sequences of Xcc strain 8004 chromosome (Genbank accession number CP000050.1), Brassica oleracea nuclear and mitochondrial genomes (Accession GCA_000695525.1, NC_016118.1), and Brassica rapa chloroplastic genome (BRARA_CHL, accession NC_040849.1).

b

Percentage of unique hits to the genes of Brassica oleracea nuclear and mitochondrial genomes and Brassica rapa chloroplastic genome.

c

Percentage of unique hits to the genes of Xcc strain 8004.

d

Sequence Read Archive accession number.


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