Skip to main content
Advertisement
  • Loading metrics

Secreted LysM proteins are required for niche competition and full virulence in Pseudomonas savastanoi during host plant infection

  • Hilario Domínguez-Cerván,

    Roles Data curation, Investigation, Methodology, Writing – original draft

    Affiliations Área de Genética, Facultad de Ciencias, Universidad de Málaga, Campus Teatinos, Málaga, Spain, Instituto de Hortofruticultura Subtropical y Mediterránea “La Mayora”, Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Málaga, Spain

  • Laura Barrientos-Moreno,

    Roles Investigation, Methodology, Writing – original draft

    Affiliations Área de Genética, Facultad de Ciencias, Universidad de Málaga, Campus Teatinos, Málaga, Spain, Instituto de Hortofruticultura Subtropical y Mediterránea “La Mayora”, Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Málaga, Spain

  • Luis Díaz-Martínez,

    Roles Data curation

    Affiliation Centro de Supercomputación y Bioinnovación (SCBI), Universidad de Málaga, Málaga, Spain

  • Jesús Murillo,

    Roles Formal analysis, Funding acquisition, Writing – original draft, Writing – review & editing

    Affiliation Institute for Multidisciplinary Research in Applied Biology, Universidad Pública de Navarra (UPNA), Edificio de Agrobiotecnología, Mutilva Baja, Spain

  • Inmaculada Pérez-Dorado,

    Roles Investigation, Methodology, Writing – review & editing

    Affiliation Department of Crystallography and Structural Biology, Institute of Physical Chemistry Blas Cabrera, Spanish National Research Council (CSIC), Madrid, Spain

  • Cayo Ramos,

    Roles Formal analysis, Funding acquisition, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

    Affiliations Área de Genética, Facultad de Ciencias, Universidad de Málaga, Campus Teatinos, Málaga, Spain, Instituto de Hortofruticultura Subtropical y Mediterránea “La Mayora”, Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Málaga, Spain

  • Luis Rodríguez-Moreno

    Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

    lgrodriguez@uma.es

    Affiliations Área de Genética, Facultad de Ciencias, Universidad de Málaga, Campus Teatinos, Málaga, Spain, Instituto de Hortofruticultura Subtropical y Mediterránea “La Mayora”, Consejo Superior de Investigaciones Científicas (IHSM-UMA-CSIC), Málaga, Spain

Abstract

Phytopathogenic bacteria secrete diverse virulence factors to manipulate host defenses and establish infection. Characterization of the type III secretion system (T3SS)- and HrpL-independent secretome (T3-IS) in Pseudomonas savastanoi pv. savastanoi (Psv), the causal agent of olive knot disease, identified five secreted LysM-containing proteins (LysM1–LysM5) associated with distinct physiological processes critical for infection. Functional predictions from network analyses suggest that LysM1, LysM2, and LysM4 may participate in type IV pilus-related functions, while LysM3 and LysM5 are likely to possess peptidoglycan hydrolase domains critical for cell division. Supporting these predictions, loss of LysM1 function resulted in impaired twitching and swimming motility, highlighting a role in pilus-mediated movement and early host colonization. In contrast, mutants lacking LysM3 or LysM5 exhibited pronounced filamentation and defective bacterial division, underscoring their essential role in septation, a process crucial for both in planta fitness and tumor formation. Structural modeling and protein stability assays demonstrate that LysM3 interacts with peptidoglycan fragments such as tetra-N-acetylglucosamine and meso-diaminopimelic acid, as well as with zinc ions, through conserved LysM and M23 domains. LysM3 also displayed selective bacteriostatic activity against co-inhabiting Gram-negative bacterial competitors, such as Pantoea agglomerans and Erwinia toletana. Our findings highlight the relevance of LysM proteins in maintaining bacterial integrity, motility, and competitive fitness, which are crucial for successful host infection. This study expands the functional repertoire of LysM-containing proteins and reveals their broader impact on bacterial virulence and adaptation to the plant-associated niche.

Author summary

Plant pathogenic bacteria secrete a variety of proteins to manipulate host responses and outcompete microbial rivals. In this study, we investigated a group of five secreted proteins with conserved LysM domains produced by the bacterium responsible for olive knot disease, Pseudomonas savastanoi. We found that these proteins fulfill distinct and critical functions during infection. Three are potentially involved in the assembly of type IV pili, structures that help bacteria move and colonize plant tissues, while the other two are related to enzymes that remodel the bacterial cell wall and are essential for proper cell division. Mutants lacking these proteins failed to divide normally and were significantly impaired in their ability to infect olive plants. One of these proteins, LysM3, also exhibited the ability to inhibit other Gram-negative bacteria that coexist with the pathogen in the plant tumor, pointing to a role in microbial competition. These findings shed light on how LysM-containing proteins contribute to both disease progression and bacterial competition and survival in the plant environment. This work paves the way for new insights into bacterial pathogenesis and offers potential strategies for controlling olive knot disease and other plant infections.

Introduction

The plant apoplast is the extracellular space encompassing the fibrillar matrix of cell walls, intercellular fluid-filled spaces, the xylem-lumen, the cuticle covering the outer plant surface, and air-filled regions [1]. It plays a critical role in various physiological processes, including long-distance intercellular signaling, water and nutrient transport, and the perception of biotic stresses. As part of their preformed defense mechanisms, plants secrete hydrolytic enzymes such as chitinases and peptidases into the apoplast. These enzymes degrade conserved structural components of fungal and bacterial cell walls, thereby triggering immune responses [25]. Plant cells monitor the apoplast through membrane-bound immune receptors that detect microbially-derived molecules or signs of microbial activity within plant tissues [6,7]. Common examples of these molecules include fungal chitin [8] and bacterial peptidoglycan [9], both of which are recognized by plant immune receptors containing lysin motifs (LysM) [3,1012].

LysMs are a class of carbohydrate-binding modules (CBMs) that specifically recognize and bind polysaccharides containing N-acetylglucosamine (GlcNAc) residues [13]. These functional units are ubiquitous across all domains of life except Archaea, participating in very different cellular processes. Besides their occurrence in immune receptors, in particular, their role in pathogenicity has been extensively characterized in fungal pathogens [1417]. Fungal LysM effectors contribute to plant infection by preventing host recognition of chitin oligomers [18] or shielding fungal cell walls from host chitinases [19]. It is not known, however, if these domains are also relevant virulence determinants for bacterial plant pathogens, where most identified LysM-containing proteins are peptidoglycan (PG) hydrolases, which are essential for cell-wall remodeling, bacterial growth and interaction with the host [13,20].

Phytopathogenic bacteria enter plant tissues through natural openings or wounds and establish infection using diverse strategies, including the deployment of specialized secretion systems that translocate virulence factors into the host [2123]. Among these, the type III secretion system (T3SS) is a major virulence determinant of Gram-negative phytopathogenic bacteria [24]. The T3SS enables direct injection of effector proteins (T3Es) into the host cytoplasm, where they manipulate host cellular processes and suppress immune responses [2527]. Similarly, type IV (T4SS) and type VI (T6SS) secretion systems facilitate the translocation of other groups of bacterial effectors across both the inner and outer membranes into eukaryotic or bacterial target cells [28,29]. Other secretion systems, such as type I (T1SS), type II (T2SS), and type V (T5SS), contribute to bacterial virulence by secreting proteins and metabolites into the extracellular space during host colonization. The secreted factors include cell-wall degrading enzymes, proteases, lipases, adhesins, phosphatases and carbohydrate-processing proteins [3032]. However, although large amounts of putatively secreted factors have been identified through genome annotations, it is currently unknown which factors are actually secreted and play roles in the interaction with plant hosts during infection [32]. Characterization of the secretomes of phytopathogenic bacteria is thus essential for understanding the molecular mechanisms underpinning niche establishment and disease progression.

The Pseudomonas syringae complex is one of the most significant groups of phytopathogenic bacteria due to their diseases caused in agricultural and ornamental crops. Among them, strains of Pseudomonas savastanoi pv. savastanoi (Psv), the causal agent of olive knot disease [33], induce hyperplastic growth in host tissue through the coordinated action of multiple virulence factors [3436]. A key determinant of Psv virulence is the T3SS, which translocates effectors into host cells. In Psv NCPPB 3335, deletion of hrpA, encoding the structural subunit of the T3SS pilus, impairs tumor formation and bacterial colonization of host tissues [37]. Similarly, deletion of hrpL, a key regulator of T3SS effectors, structural components and other virulence-related genes, disrupts effector secretion and attenuates virulence [38]. However, hrpA and hrpL mutants remain viable within host tissue, highlighting the potential role of proteins secreted independently of the T3SS and HrpL that act in bacterial virulence and fitness.

In this work, we analyzed the T3SS- and HrpL-independent secretome of Psv and identified five secreted LysM domain-containing proteins, which we named LysM1 to LysM5. Three of these (LysM1, LysM2 and LysM4) are putatively involved in type IV pilus (T4P) assembly, whereas LysM3 and LysM5 are putative PG hydrolases crucial for bacterial fitness and physiology. Loss-of-function mutations in these genes impaired bacterial colonization of plant tissues and attenuated bacterial virulence. Specifically, lysM3 and lysM5 mutations caused severe defects in cell septation, compromising bacterial fitness both in vitro as well as during plant infection. Structural modelling and Nano Differential Scanning Fluorimetry (nanoDSF) assays showed that LysM3 harbors an active LysM domain and an M23 peptidase domain, while bacterial growth assays demonstrated its selective bacteriostatic activity against Gram-negative bacteria, including Pantoea agglomerans and Erwinia toletana, which co-inhabit olive tumors with Psv. These findings underscore novel roles of LysM proteins in bacterial fitness and virulence, as well as in competition with the bacterial communities in diseased plant tissues, emphasizing their broader relevance to the pathogenicity of bacterial phytopathogens.

Results

Identification of the T3SS-independent secretome in Pseudomonas savastanoi pv. savastanoi NCPPB 3335

We determined the secretome of Psv NCPPB 3335 in HIM medium [39], a minimal medium that mimics conditions in the plant apoplast and induces the expression of bacterial virulence genes [39]. The complex proteome of Psv was analyzed using mass spectrometry (MS) in combination with bioinformatics. MS outputs at 12 and 24 hours post-incubation (hpi) were processed through our custom-designed bioinformatics pipeline, SecretFlow, to identify extracellular predicted proteins (EPPs) for each sample. Importantly, this pipeline applies stringent filtering criteria to retain only proteins that contain a predicted signal peptide and functional annotations consistent with extracellular localization.

To identify proteins that are secreted independently of the T3SS and HrpL, EPPs from the wild-type Psv strain were compared with those from hrpA and hrpL mutants (Psv-ΔhrpA, and Psv-ΔhrpL, respectively) at 12 and 24 hpi (Fig 1). At 12 hpi, a total of 429, 163 and 163 EPPs were identified for Psv NCPPB 3335, Psv-ΔhrpA, and Psv-ΔhrpL, respectively (Fig 1A). Similarly, at 24 hpi, 771, 637 and 327 EPPs were identified for the respective Psv strains (Fig 1B). Proteins common to the secretomes of all three strains were considered part of the core T3SS-independent and HrpL-independent secretome (T3-IS).

thumbnail
Fig 1. Extracellular proteins in apoplast-mimicking minimal (HIM) medium.

Venn diagrams show the extracellular proteins identified in the secretome of the wild-type strain P. savastanoi pv. savastanoi NCPPB 3335 (wt), and its ΔhrpA and ΔhrpL mutants, lacking structural and regulatory components of the type III secretion system, respectively, after 12 hours (A) and 24 hours (B) of incubation in HIM medium. At 12 h, 96.3% of the proteins shared by all three strains were also detected at 24 h.

https://doi.org/10.1371/journal.ppat.1013121.g001

A total of 162 and 321 proteins comprised the T3-IS at 12 and 24 hpi, respectively (Fig 1A and 1B). Most of the proteins identified at 12 hpi (156 proteins, 96.3%) were also found among the 321 proteins identified at 24 hpi. Detailed information on these 321 EPPs is provided in S1 Table. Given the higher number of EPPs identified at 24 hpi, subsequent analyses focused on the T3-IS from this time point.

Functional categorization and in-depth analysis of the T3SS-independent secretome

The T3-IS was functionally categorized using the ShinyGO software [40], with annotations from the GO molecular functions, GO biological processes, and Uniprot databases. This analysis classified the T3-IS into 48 distinct molecular categories (Fig 2). The combined use of these three databases covered 57% (183 proteins) of the T3-IS from Psv. Among the most represented categories were periplasmic space, envelope, transporter activity, response to stimulus, macromolecule localization, peptidase activity, molecular transducer activity, signaling receptor activity, channel activity, and carbohydrate binding (Fig 2). We performed a functional enrichment analysis using ShinyGO, comparing the abundance of GO terms in the secretome compared to their abundance in the complete deduced proteome of Psv NCPPB 3335 (Fig 2). The functional enrichment analysis revealed differences between 12 hpi and 24 hpi (S1 Fig and Fig 2), although the most enriched categories at both time points were peptide and amino acid binding, lipid transport, and specific enzymatic activities, such as aldose-1 epimerase and serine-type carboxypeptidase or exopeptidase activities.

thumbnail
Fig 2. Functional enrichment analysis of the Pseudomonas savastanoi pv. savastanoi NCPPB 3335 secretome using ShinyGO.

The secretome was obtained after 24 hours of incubation in HIM medium. The analysis highlights significantly enriched GO functional categories, classified by molecular function and cellular localization. The X-axis represents the number of proteins associated with each category, while the color indicates the degree of enrichment (fold enrichment). Fold enrichment reflects the frequency of a given GO term in the secretome compared to its frequency in the complete deduced proteome of strain NCPPB 3335. The analysis was performed with a false discovery rate (FDR) cutoff of 0.05.

https://doi.org/10.1371/journal.ppat.1013121.g002

Given the role of carbohydrate recognition in growth, cell adhesion and signaling in living organisms, we focused on proteins containing conserved carbohydrate-binding modules (CBMs). Within this group, we identified five proteins featuring LysM domains (LysM1 to LysM5; Fig 3A). Except for LysM5, which has its LysM domain located at the C-terminus, the other four proteins exhibited a single LysM domain at the N-terminus. InterProScan analysis revealed additional functional domains: LysM1 contains a tetratricopeptide domain, which facilitates protein-protein interactions, playing key roles in processes such as cell cycle regulation, transcription, and protein transport [41]; LysM1 and LysM2 share a FimV domain at their C-terminus, involved in the biogenesis and function of bacterial pili, critical for adhesion, motility, and host colonization [42]. LysM3 features an M23-type peptidase domain at its C-terminus, found in diverse zinc metallopeptidases that hydrolyze the bacterial peptidoglycan, contributing to cell wall remodeling and virulence [43]. LysM5 includes an amidase N-terminal (AMIN) domain, found in amidases that degrade bacterial cell walls, promoting cell division and lysis [44], and an N-acetylmuramoyl-L-alanine amidase domain, which catalyzes peptidoglycan hydrolysis, aiding bacterial cell wall remodeling during cell division and host immune evasion [45] (Fig 3A).

thumbnail
Fig 3. Characteristics of LysM proteins.

(A) Schematic representation of LysM proteins and their functional domains identified using InterProScan. The diagram displays the structural organization of the LysM proteins, including predicted domains and regions of interest, with numbers indicating their position in the sequence (LysM1 Refseq ID: WP_031594872.1; LysM2: WP_002552571.1; LysM3: WP_002554701.1; LysM4: WP_002551334.1; LysM5: WP_199523490.1). Dashed lines indicate conserved domains or features present in all proteins, while filled patterns represent domains that are either exclusive to a single protein or shared among only some of them. Notably, SP represents the signal peptide while AMIN corresponds to an N-terminal amidase domain. (B) STRING interaction network analysis showing the functional relationships between LysM proteins and the products of other genes, providing insights into the potential functions of LysM proteins. The color of the nodes represents the functional category to which each protein belongs, while the color of the edges indicates the source of the interaction.

https://doi.org/10.1371/journal.ppat.1013121.g003

To predict the potential functions of the five LysM proteins, we conducted a predictive relationship analysis using the STRING software (Fig 3B). This analysis suggested that the LysM proteins can be divided into two distinct subgroups: LysM1, LysM2, and LysM4, which are likely involved in type IV pilus assembly, biofilm formation, and cell membrane modification (Fig 3B), and LysM3 and LysM5, which are predicted to play roles in cell division and the maintenance of cell shape (Fig 3B).

Influence of LysM1, LysM2, and LysM4 proteins in motility

The potential involvement of LysM1, LysM2, and LysM4 in type IV pilus assembly (Fig 3B) along with the FimV domains found in the LysM1 and LysM2 sequences, which are associated with type IV pilus (Fig 3A), prompted us to investigate their role in bacterial motility. Twitching motility is a type IV pili-dependent but flagella-independent movement, whereas flagella are responsible for swimming motility [46]. Given the involvement of both motility types in adhesion and host colonization, twitching and swimming motility were assessed in the ΔlysM1, ΔlysM2, and ΔlysM4 mutants (Fig 4).

thumbnail
Fig 4. Impact of ΔlysM mutations on bacterial motility.

(A) Twitching motility on 1%-agar KB medium overlaid on slides by the wild-type strain Psv NCPPB 3335 (Psv) and the ΔlysM mutants. Microscopy images were taken after 24h of incubation at 25°C with Nikon Eclipse E800 light microscope (20x). The experiment was repeated three times with two repetitions per trial, and a representative image is shown per strain. (B-C) Swimming motility on 0.3%-agar KB medium. (B) Representative images of swimming halos formed by the wild-type strain Psv and the ΔlysM mutants after three days of incubation at 25°C. (C) Swimming halos are represented as the covered area (cm2). Data are presented as means and standard deviation (SD) from three independent experiments, with at least four replicas per assay. Asterisks indicate statistically significant differences (ANOVA test; p < 0.0001), and “ns” indicates no significant differences between samples.

https://doi.org/10.1371/journal.ppat.1013121.g004

Twitching motility was evaluated on a solid surface under humid conditions, and twitching areas were visualized with light microscopy. As shown in Fig 4A, the wild-type strain exhibited the characteristic irregular or poorly defined edge at the leading front of the movement, with well-organized cell clusters and single cells at the forefront of motility. Similarly, the ΔlysM2 and ΔlysM4 mutants behaved as the wild-type strain. Notably, the defective ΔlysM2 strain formed smaller and less pronounced protrusions than the wild type. In contrast, the strain containing mutation ΔlysM1 displayed an almost flat and well-defined advancing front, suggesting alterations in twitching motility dynamics. These findings indicate that LysM1 may play a role in the functionality of the type IV pili.

Swimming motility was assessed under low-viscosity conditions [0.3% agar (wt/vol)] in KB medium. The swimming halos produced by the ΔlysM1 mutant were significantly smaller than those of the wild-type strain (Fig 4B and 4C). However, the strains with the ΔlysM2 and ΔlysM4 mutations did not show any defects in swimming motility under these conditions.

LysM3 and LysM5 are involved in bacterial cell septation during cell division in Psv NCPPB 3335

LysM domains are involved in various aspects of the bacterial life cycle [13]. Additionally, the peptidase M23 and N-acetylmuramoyl-L-alanine amidase domains found in LysM3 and LysM5, respectively, are potentially involved in peptidoglycan hydrolysis to facilitate cell wall expansion and organization during bacterial growth [45,47]. Therefore, we compared the growth profiles of the LysM mutants to that of the wild-type strain.

No significant differences were observed in growth patterns or maximal optical density at 600 nm (OD600) values between the wild-type strain and the lysM mutants in rich KB medium (S2A Fig). However, the ΔlysM5 mutant consistently exhibited a slight, albeit not significant, trend toward lower OD600 values compared to the wild-type strain and the other mutants. In contrast, after 24 hours of growth in KB, the colony-forming unit (CFU) counts for the defective ΔlysM3 and ΔlysM5 strains were significantly lower than those of the wild-type strain and the remaining mutants (S2B Fig).

Given the reduced CFU counts for the strains containing mutations ΔlysM3 and ΔlysM5 (S2B Fig) and the functional predictions from the STRING analysis obtained for these proteins (Fig 3B), we further investigated cell morphology of all the mutants and their complemented strains using confocal microscopy. Notably, the defective ΔlysM3 and ΔlysM5 strains exhibited a distinctive phenotype, characterized by unsegmented chains of cells joined at their polar ends (Fig 5A), likely due to impaired septum formation during cell division. In contrast, the ΔlysM1, ΔlysM2, and ΔlysM4 knockout strains displayed typical rod-shaped morphology similar to the wild-type strain. The filamentous phenotype was rescued in the complemented ΔlysM3 and ΔlysM5 mutant strains, which displayed normal cell morphology (Fig 5A).

thumbnail
Fig 5. Lack of LysM3 and LysM5 causes altered cell morphology in P. savastanoi pv. savastanoi NCPPB 3335.

(A) Confocal microscopy images of the wild-type strain and each of the five ΔlysM mutants, along with their corresponding complemented strains. Cells were stained with the membrane-binding fluorescence dye FM4-64 (red). (B) Scatter plots (upper plots) illustrate the relationship between cell size (FSC-A, forward scatter) and cell complexity (SSC-A, side scatter). Each point represents an individual event (cell), with the X- and Y-axes showing complexity and size, respectively. The ellipses in graphs for mutants ΔlysM3 and ΔlysM5 highlight a greater number of subpopulations with altered size or complexity compared to the other strains. Histograms (lower plots) show the distribution of the number of events (Count, as log10 of number of cells) as a function of cell complexity (SSC-A). The X-axis represents cell complexity, while the Y-axis shows the numbers of events.

https://doi.org/10.1371/journal.ppat.1013121.g005

Flow cytometry analysis of size and complexity in exponentially growing cultures supported the phenotypes observed by confocal microscopy (Fig 5B). Comparative analysis revealed that a subset of the ΔlysM3 knockout strain population exhibited greater complexity compared to the other mutants and the wild-type strain. Similarly, the defective ΔlysM5 strain showed a subpopulation with increased cell size, which was absent in the other strains (Fig 5B). Furthermore, the number of complex events was significantly higher in the ΔlysM3 and ΔlysM5 mutants compared to the wild-type and the other mutants, consistent with their filamentous morphology.

Extracellular LysM proteins contribute to P. savastanoi fitness and virulence in olive plants

Given the well-established role of LysM domains in fungal virulence [15,48], we evaluated the virulence of mutants lacking each of the five secreted LysM-containing proteins. In vitro grown olive plants provided a rapid and sensitive model to assess olive knot disease symptoms, which fully develop within 30 days post-inoculation (dpi) (Fig 6A). At 30 dpi, the ΔlysM1, ΔlysM2, ΔlysM4, and ΔlysM5 mutants induced tumors at the inoculation sites that were morphologically similar to those produced by the wild-type strain. However, tumor volumes were significantly reduced for all mutants compared to the wild-type strain, with more pronounced reductions observed for tumors induced by the defective ΔlysM1 and ΔlysM3 strains (Fig 6B). Notably, plants inoculated with the strain containing mutation ΔlysM3 developed only small outgrowths that failed to progress into mature tumors (Fig 6A).

thumbnail
Fig 6. Virulence and competitive fitness of P. savastanoi lysM mutants in olive plants.

(A) Representative symptoms induced by the wild-type strain P. savastanoi pv. savastanoi NCPPB 3335 and its five lysM mutants. Mock, plant inoculated with buffer. (B) Quantification of knot volume induced by the indicated strains. (C) Total bacterial populations recovered from inoculated tissues. (D) Competitive index for mixed 1:1 inoculations. An asterisk denotes a value significantly different from one, as determined by a Student’s t-test (p = 0.05). (E) Representative symptoms induced by the wild-type strain, the ΔlysM mutants and the complemented strains. Mock, plant inoculated with buffer. (F) Quantification of knot volume induced by the indicated strains. Data for panels A-D were collected 30 days post-inoculation of in vitro olive plants, while data for panels E-F were collected 57 days post-inoculation of ex vitro olive plants. Bars and data points (panel D) represent means from five biological replicates (four for panel D) with standard error. Different letters indicate statistically significant differences, as determined by ANOVA followed by Tukey’s t-test (p < 0.05). Scale bars = 0.5 cm (A) and 1 cm (E). Complemented strains are indicated by the symbol ‘::’ in the strain names, followed by the corresponding gene.

https://doi.org/10.1371/journal.ppat.1013121.g006

To evaluate bacterial colonization, we quantified CFU counts in infected plants at the end of the experiment, which broadly aligned with disease severity but did not show a strict correlation. Specifically, while the defective ΔlysM2, ΔlysM3, and ΔlysM4 strains showed slight but significant reductions in CFU counts compared to the wild-type strain, the ΔlysM1 and ΔlysM5 mutants exhibited severely impaired colonization of in vitro olive tissues (Fig 6C). To determine whether the reduced colonization ability of the mutants also resulted in decreased competitive fitness, we performed competition assays against the wild-type strain. While the ΔlysM1, ΔlysM2, and ΔlysM4 knockout mutants showed no significant differences in competitive fitness, the strains containing mutations ΔlysM3 and ΔlysM5 were significantly outcompeted by the wild-type strain (Fig 6D).

Since in vitro olive plants lack autotrophy and lignified tissues, which may facilitate symptoms development, we also conducted virulence assays using ex vitro olive plants with all the ΔlysM mutants and their complemented strains (Fig 6E). In this system, all ΔlysM knockout strains exhibited significantly reduced tumor volumes compared to the wild-type strain after 57 dpi (Fig 6E and 6F). Complementation of each mutant strain restored tumor appearance (Fig 6E) and size (Fig 6F) to levels comparable to those of tumors induced by the wild-type strain, demonstrating that the virulence defects observed for the mutants were specifically due to the lysM gene deletions.

LysM3 binds bacterial peptidoglycan fragments and analogues via conserved functional domains

Given its critical role in symptoms development (Fig 6), we further characterize LysM3, a putative PG DD-metalloendopeptidase containing a LysM domain and a peptidase M23 domain (Fig 3A), suggesting its interaction with the peptidoglycan. To investigate this, we compared the predicted structure of LysM3 with crystallized proteins containing LysM or M23 domains and conducted nanoDSF assays with purified LysM3 to evaluate potential ligand interactions (Fig 7).

thumbnail
Fig 7. Interaction of LysM3 with peptidoglycan (PG) fragments/analogues.

(A) Structural superimposition of LysM3-LysM domain (AlphaFold model, in orange) with the crystallographic complex of the LysM domain-containing protein P60 bound to NAG₆ (in cyan). The image highlights conservation of PG-binding features in LysM3-LysM domain. (B) Nano differential scanning fluorimetry (nanoDSF) analysis of LysM3 without Zn2+ in the presence of NAG₄ and NAG₆, showing its interaction with peptidoglycan analogues. Mean Ti values ± standard deviation (SD) is shown. (C-D) Superimposition of the M23 peptidase domain of LysM3 (Alphafold model, in orange) with the peptidase domains of Csd1 apo (in cyan) and Pgp3 bound to mDAP-D-Ala PG fragments (in cyan), showing conservation of residues involved in the coordination of the catalytic Zn2+ and in substrate interaction. (E) NanoDSF analysis of LysM3 showing its stabilization in the presence of Zn2+ compared to the protein alone. (F) Thermal stability profiles of LysM3 with Zn2+ and four PG fragments showing shifts of the Ti values in the presence of ligands. Mean Ti values ± SD are shown.

https://doi.org/10.1371/journal.ppat.1013121.g007

Comparison of the Alphafold-predicted LysM3 model (UniProt code: A0A0Q0APC2) with the experimental structure of functionally related proteins revealed conserved structural features. On the one hand, the LysM domain of LysM3 (LysM3-LysM) was superimposed with the P60 LysM domain solved in complex with hexa-N-acetyl-glucosamine (NAG6) (Protein Data Bank (PDB) code: 4uz3; Root Mean Square Deviation (RMSD): 1.24 Å) [49]. On the other hand, the M23 domain of LysM3 (LysM3-M23) was superimposed with the crystal structure of wild-type Csd1 protein bound to zinc (PDB code: 5J1L; RMSD: 1.17 Å) [50], and the Pgp3H247A catalytically-inactive mutant protein, bound to meso-diaminopimelic acid-D-alanine (mDAP-D-Ala) (PDB code: 6jn1; RMSD: 0.83 Å) [51].

LysM domains are characterized by βααβ fold and the presence of a highly conserved GDTL motif, commonly associated with the interaction of carbohydrate moieties of both fungal and bacterial cell walls [13]. Superimposition of LysM3 and P60 models showed structural conservation of the βααβ fold and the GDTL motif, evidencing how LysM3 residues G65, D66, T67, and L68 of LysM3 overlay well with residues G24, D25, T26, and L27 of P60 (Fig 7A, S3A and S3B Fig). Given this structural conservation, we conducted nanoDSF assays to examine interactions with peptidoglycan-derived oligosaccharides. NanoDSF measures protein stability by detecting changes in the inflection temperature (Ti), associated to protein unfolding, where increases or decreases in Ti values indicate ligand interaction. Since peptidoglycan consists of alternating N-acetylmuramic (NAM) acid and N-acetylglucosamine units, we used NAG4 and NAG6 as ligand analogues for the nanoDSF experiments. Comparison of Ti values measured for LysM3 alone (51.4°C ± 0.1) and in the presence of NAG4 (52.9°C ± 0.1) and NAG6 (52.7°C ± 0.4) show an increase of >1°C in the presence of both oligosaccharides, which indicates interaction with both PG analogues (Fig 7B).

The M23 domain is present in zinc-dependent metallopeptidases, containing conserved HxxxD and HxH motifs providing a catalytic histidine and involved in the stabilization of the catalytic zinc [43]. Structural superimposition of LysM3-M23 with Csd1 and Pgp3H247A confirmed conservation of the general structure and some key amino-acid residues involved in ligand binding (S3 Fig). In LysM3-M23, the HxxxD motif (N188-D192) aligns with H169-D173 in Csd1 (S3 Fig and Fig 7C), while the HxH motif (K267-H269) in LysM3-M23 corresponds to H250-H252 (S3D Fig) in Csd1. A similar scenario was observed with Pgp3H247A, the HxxxD motif (N188-D192) in LysM3-M23 matches H168-D172 in Pgp3H247A, and the HxH motif (K267-H269) of LysM3-M23 aligns with A247-H249 in Pgp3H247A (S3F Fig and Fig 7D). These comparisons highlight the partial conservation of the active site in LysM3-M23.

Given the partial conservation of the HxxxD and HxH motifs in LysM3 and the known key role of Zn2+ in catalysis by M23 domains, we assessed the interaction of LysM3 with Zn2+ using nanoDSF. The addition of Zn2+ resulted in a striking ~20°C increase in the Ti (LysM3: 51.4°C ± 0.1; LysM3 + Zn2+: 68.2°C ± 0.6), suggesting the interaction of Zn2+ at the active site (Fig 7E). To further explore the functionality of LysM3-M23, we tested the interaction of Zn2+-reconstituted LysM3 with peptidoglycan-derived ligands. All tested ligands caused variations in the Ti values (Fig 7F). Diacetyl-L-Lysine-D-Alanine-D-Alanine caused a modest increase in Ti value of 0.9°C, while D-Ala-D-Ala increased the Ti by 2°C. Conversely, N-acetylmuramyl-L-Alanine-D-isoglutamine decreased the Ti by 2°C, and meso-diaminopimelic acid (mDAP) caused a notable 9°C reduction in the Ti, suggesting a strong interaction with LysM3-M23.

These results show that LysM3 retains functional features of LysM and M23 domains, interacting with both glycan and pentapeptide moieties of the PG. While the LysM domain exhibits classical peptidoglycan-binding properties, the M23 domain likely relies on Zn2+ coordination for activity.

LysM3 exhibits selective bacteriostatic activity against Gram-negative bacteria

Proteins of the M23 family are involved in various processes, including cell division, maintenance of cellular structure, virulence, and, in certain organisms, antibacterial activity by lysing of cell walls for defense or feeding [43,47,52]. Given the structural and functional features of LysM3, we explored whether this protein could also participate in interbacterial interactions through a potential inhibitory activity. Based on our nanoDSF analysis results, we evaluated the bacteriostatic activity of LysM3 against bacterial strains with diverse cell wall structures. We tested three Gram-negative bacterial strains: E. coli DH5α (Eco) and two strains isolated from olive knots, Erwinia toletana DAPP-PG 735 (Etol) [53] and Pantoea agglomerans DAPP-PG 734 (Pag) [54]. Bacillus subtilis 3610 (Bsub), a representative Gram-positive bacterium, was also included, with Psv NCPPB 3335, also isolated from olive knots, serving as the control strain.

Each strain was grown in rich medium alone (growth control) or supplemented with: buffer only (buffer control), buffer with a non-inhibitory protein (AraC transcriptional regulator; protein control), buffer with LysM4 (a protein containing only a LysM domain), buffer with LysM3 (containing both a LysM domain and a peptidase M23 domain), and buffer with lysozyme (a known bactericidal protein). CFU counts and OD600 were measured every two hours (Fig 8).

thumbnail
Fig 8. Bacteriostatic activity of LysM3 against Gram-negative bacteria.

(A) Colony-forming units (CFU) recovered at time 0 from the indicated bacterial strains under the specified treatments. All cultures were adjusted to an initial optical density (OD600) of 0.05. The following treatments were tested for bacteria grown in KB medium: Growth control, no additions; buffer control, supplemented with buffer only; protein control, as a control protein with no effect on bacterial growth, a transcriptional regulator from the AraC family was used; LysM4, purified LysM4 (contains only LysM domain); LysM3, purified LysM3; lysozyme, from chicken egg white. Data normality was assessed using the Shapiro-Wilk and Kolmogorov-Smirnov tests, and statistical significance was determined using Student’s t-test (p < 0.05). (B) CFU recovered after 6 hours of incubation at 28°C under the same treatments. Significant differences between treatments (p < 0.05) are indicated by an asterisk (*). (C-G) Growth curves showing OD600 over 6 hours of incubation for each bacterial strain (indicated in each panel) under the treatments indicated below. Psv, Pseudomonas savastanoi pv. savastanoi; Eco, Escherichia coli; Pag, Pantoea agglomerans; Etol, Erwinia toletana; Bsub, Bacillus subtilis.

https://doi.org/10.1371/journal.ppat.1013121.g008

At the start of the assay (Fig 8A), CFU counts showed no statistically significant differences among treatments for any strain, confirming similar initial conditions. After 6 hours of incubation (Fig 8B), significant reductions in CFU counts were observed in the suspensions of all Gram-negative strains (E. coli, P. agglomerans, and E. toletana) treated with LysM3 or lysozyme, compared to controls. In contrast, no significant differences were detected for Psv NCPPB 3335 or B. subtilis, except for the lysozyme treatment, which completely inhibited B. subtilis growth.

Growth curves corroborated the trends observed in CFU counts. For Psv NCPPB 3335 and E. coli DH5α (Fig 8C and 8D), cultures treated with LysM3 exhibited slower growth compared to controls. Similarly, LysM3 significantly delayed growth progression for P. agglomerans DAPP-PG 734 and E. toletana DAPP-PG 735 (Fig 8E and 8F). In contrast, only the treatment with lysozyme caused a significant decrease in OD600 for B. subtilis 3610 (Fig 8G). These findings suggest that LysM3 exhibits bacteriostatic activity specifically against Gram-negative bacteria, suggesting its potential as an antimicrobial agent.

Discussion

In this study, we characterized the secretome of P. savastanoi pv. savastanoi NCPPB 3335 and identified five proteins containing LysM domains, which we show play critical roles in the physiology and virulence of this phytopathogenic bacterium. Three of these proteins (LysM1, LysM2, and LysM4) are putatively involved in T4P formation, while LysM3 and LysM5 likely function as PG hydrolases with a role in the homeostasis of the bacterial cell wall. The loss of function of LysM3 and LysM5 resulted in severe defects in cellular septation, reducing the ability of Psv to colonize plant tissues and cause disease symptoms. Additionally, we demonstrated that LysM3 exhibits inhibitory activity in vitro against Gram-negative bacteria such as Pantoea agglomerans and Erwinia toletana, but not against Gram-positive bacteria such as Bacillus. These findings highlight the importance of PG hydrolases in Psv pathogenicity and their potential role in bacterial competition within the tumor niche.

LysM1, LysM2, and LysM4 are involved in type IV pili assembly, which is likely to influence the ability of the bacterium to adhere to and colonize plant tissue [46]. The loss of function of these proteins results in reduced tumor volume and diminished tissue colonization capacity, with the defective ΔlysM1 strain showing the most pronounced effects. This is further supported by the significant reduction in swimming and twitching motility observed in the ΔlysM1 mutant. Similarly, in Pseudomonas syringae pv. tabaci 6605, which infects herbaceous plants, mutants in type IV pili have been shown to exhibit a significant reduction in swimming motility in semisolid medium as well as decreased virulence [55]. No differences were observed in competition assays, suggesting that the wild-type strain may compensate for the reduced motility of the mutants during the infection process. LysM1 is orthologous to proteins widely distributed in bacteria and classified within the FimV/HubP family polar landmark proteins, including FimV from Pseudomonas aeruginosa (WP_003163304.1) [42], HubP from Shewanella putrefaciens (ABP76163.1; WP_011919521.1) [56] and TapV from Ralstonia pseudosolanacearum (WP_011001922.1) [57]. Although proteins of this family have different roles in different species, mutants lacking FimV, HubP and TapV are impaired in swimming and/or twitching motility as well as, for FimV and TapV, severely reduced virulence. These phenotypes are mirrored by a LysM1 mutant, supporting the conservation of functions across taxa. Loss of type IV pili or of flagellar motility was shown to cause a reduction in virulence in a P. syringae pathovar phylogenetically very close to Psv, mainly because of alterations in the regulation of the expression of virulence-related genes [58]. It is therefore likely that the activity of LysM1 is impacting the expression of diverse virulence genes, which should be further investigated. Importantly, mutants in LysM1 and in its paralog LysM2 (41.5% global similarity) displayed different phenotypes, as it occurs with the corresponding homologs in R. pseudosolanacearum [57]. These phenotypic differences may be due to the presence of the tetratricopeptide repeat (TPR) domain, found exclusively in the lysM1 product. This domain mediates protein-protein interactions [41] and is often associated with bacterial motility [56,59,60]. Twitching motility, which depends on type IV pili, requires pili assembly, extension, and retraction. TPR domains may coordinate these interactions and potentially regulate flagellar-associated proteins, though their role in swimming motility is less clear [59,60]. This could explain the reduced twitching and swimming motility in the LysM1 mutant.

In turn, LysM4 is an ortholog of protein TsaP, which was shown to be important for the correct assembly of the type IV pili by anchoring the secretin complex to the peptidoglycan layer [61,62]. Mutants in TsaP did not show growth defects in Mixococcus xanthus [61] or in twitching motility in P. aeruginosa [62], as it occurs with Psv mutants in lysM4, but its overexpression in P. aeruginosa induced the cyclic di-GMP signal cascade, suggesting a role in regulation. Future studies should include adhesion assays to better understand the role of these proteins in tissue colonization. Additionally, generating double mutants could help clarify potential functional redundancies between these LysM proteins and reveal more pronounced phenotypes related to pili assembly, motility, or tissue colonization.

LysM3 and LysM5 are orthologs of proteins NlpD and AmiC, respectively, which participate in septal PG splitting during cell division [63,64]. Our results indicate that LysM3 and LysM5 are also essential for cell division in Psv, as the ΔlysM3 and ΔlysM5 mutants display a filamentous phenotype characterized by cells remaining connected at their polar ends. This phenotype is consistent with defects in cellular septation, suggesting the conservation of function for these proteins. Previous research showed that NlpD did not have PG-hydrolase activity in E. coli and Neisseria gonorrhoeae, but rather acted as a potent and specific activator of the N-acetylmuramyl-l-alanine amidase AmiC, one of the three PG hydrolases playing a vital role in cell separation [63,65]. However, the differential phenotypes shown by the ΔlysM3 and ΔlysM5 mutants (Figs 5 and 6), indicate that LysM3/NlpD is carrying out additional functions in Psv besides its predicted role activating LysM5/AmiC. This is not surprising, because this protein has been found to be involved in different phenomena in diverse bacterial species [6669]. These findings suggest that LysM3 and LysM5 could be promising targets for the development of antimicrobial strategies aimed at bacterial cell division.

The loss of function of LysM3 and LysM5 not only affected cell division but also significantly reduced the ability of Psv to colonize plant tissues and cause disease symptoms. The ΔlysM3 and ΔlysM5 mutants showed reduced tumor formation in olive plants and decreased competitiveness against the wild-type strain. These results align with studies in other plant or animal bacterial pathogens, such as the Pseudomonas syringae group (to which Psv belongs), Ralstonia solanacearum and Yersinia pestis where NlpD is implicated in virulence, host niche adaptation, biofilm formation, motility, iron acquisition, and/or activity of the twin-arginine system [66,69,70].

Previous research predicted that NlpD of E. coli did not bind zinc, due to its degenerated M23 domain that, as it occurs with LysM3 (S3 Fig), only possesses two of the four active-site residues in the HxxxD and HxH motifs [63]. However, nanoDSF assays strongly suggest that LysM3 does interact with Zn2+, as incubation with the metal caused an increase of nearly 20°C in the protein stability (Fig 7). These assays also indicated the interaction of LysM3 with peptidoglycan fragments, such as D-Ala-D-Ala and mDAP, suggesting that this protein may recognize peptide moieties of the PG layer. Purified NlpD from Neisseria gonorrhoeae was shown to also bind purified PG, although, as it occurs with NlpD from E. coli, did not degrade PG in solution [63,65]. Studies in Agrobacterium tumefaciens have shown that PG hydrolases release peptidoglycan fragments that are recognized by plant immune receptors, triggering defense responses [9]. Future studies should investigate whether LysM3 modulates host immune responses during infection.

LysM3 exhibits an intriguing in vitro inhibitory activity exclusively against Gram-negative bacteria, such as Pantoea and Erwinia, suggesting a potential role in bacterial competition within the tumor niche. This phenomenon is reminiscent of other bacteria, like P. aeruginosa, where peptidoglycan hydrolases act as bactericidal weapons to eliminate competitors [71]. The specificity of LysM3 aligns with the described variability in the targets of M23 domain-containing proteins and their highly specific capacity to hydrolyze peptidoglycan [43]. NanoDSF assays support the hypothesis that LysM3 is specific to the peptidoglycan of Gram-negative bacteria, as the greatest destabilization was observed in the presence of mDAP, a distinctive component of their peptidoglycan [43].

Interestingly, despite the more complex cell envelope of Gram-negative bacteria, as compared to Gram-positive organisms, LysM3 appears to only interact with the Gram-negative bacterial cell wall. This interaction may occur during the cell division phase of P. agglomerans and E. toletana, when the peptidoglycan layer could be temporarily weakened or remodeled, making it more accessible [72]. This suggests a potential mechanism by which LysM3 could overcome the structural barriers of Gram-negative bacteria, exerting its inhibitory effect at a critical moment. Furthermore, such activity might provide a competitive advantage to Pseudomonas savastanoi during infection. Notably, the potential antagonistic role of LysM3 is not necessarily at odds with its essential role in Psv physiology, as peptidoglycan hydrolases often perform dual functions in both cell wall remodeling and bacterial antagonism depending on their context and localization [43]. Although Psv coexists with species such as Pantoea and Erwinia within olive knots [7375], spatial segregation between populations has been reported in planta [76], suggesting that local antagonistic interactions may still occur and could be mediated by factors such as LysM3. However, further studies are required to decipher the role of this potential inhibitory activity in bacterial competition and its implications for the dynamics within the tumor niche.

Although this work provides new insights into the role of PG hydrolases in Psv physiology and virulence, several questions remain. For instance, it is unclear how the expression of LysM3 and LysM5 is regulated during infection or whether these proteins have specific roles at different stages of the bacterial life cycle. Additionally, the molecular mechanisms underlying the inhibitory activity of LysM3 against Gram-negative bacteria requires further characterization. Future studies could explore whether this activity is mediated by peptidoglycan hydrolysis or by the release of fragments that compromise cell-wall integrity. Finally, the potential biotechnological application of LysM3 as a biocontrol agent against bacterial pathogens in crops warrants further investigation.

In summary, this study demonstrates that proteins LysM3 and LysM5 are essential for cell division, fitness, and virulence in P. savastanoi. Moreover, the inhibitory activity of LysM3 against Gram-negative bacteria suggests a role in bacterial competition within the tumor niche. These findings not only enhance our understanding of pathogenicity mechanisms in phytopathogenic bacteria but also open new avenues for developing disease control strategies in crops.

Materials and methods

Bacterial strains, media, and growth conditions

The bacterial strains, plasmids, and primers used in this study are listed in S2 and S3 Tables. Pseudomonas savastanoi and Escherichia coli were routinely grown at 28°C and 37°C, respectively, in lysogeny broth (LB) medium [77] without glucose and containing 0.5% NaCl. For induction experiments, P. savastanoi was maintained in HIM medium for 12 or 24 h [39] at 28°C. Growth inhibition and motility assays were carried out in King’s B medium (KB) [78]. When required, antibiotics were added to the media at the following final concentrations: for P. savastanoi, ampicillin (400 µg/mL), gentamicin (10 µg/mL), kanamycin (7 µg/mL), nitrofurantoin (25 µg/mL), and cycloheximide (100 µg/mL); for E. coli, ampicillin (100 µg/mL), gentamicin (10 µg/mL) and kanamycin (50 µg/mL).

Isolation of secretomes

The secretome of the wild-type strain Psv NCPPB 3335 and its mutants Psv-ΔhrpA and Psv-ΔhrpL were isolated as follows. First, strains were grown overnight in LB medium at 28°C with shaking. The following day, cultures were diluted to an OD600 of 0.05 in fresh LB medium and incubated at 28°C with shaking until reaching an OD600 of 0.5. The cultures were then centrifuged, and the cell pellets were washed three times with Hrp-inducing medium (HIM) [39], resuspended in the same volume of medium HIM and incubated at 28°C with shaking for 12 or 24 hours. Following incubation, the cultures were centrifuged, and the supernatants were collected and filtered through 0.22 μm filters. The filtered supernatants were concentrated using Amicon Ultra filters (MercK Millipore Ltd., Ireland) and subjected to gel-assisted proteolysis for peptide extraction.

Gel-assisted digestion and peptide extraction of culture supernatants

Gel-assisted proteolysis was performed by trapping the protein solutions in a polyacrylamide gel matrix. Briefly, 45 μL of each sample were mixed with 14 μL of 40% acrylamide monomer solution, 2.5 μL of 10% ammonium persulfate, and 1 μL of N,N,N′,N′-tetramethylethylenediamine, and the mixture was allowed to polymerize completely for 20 minutes at room temperature. After polymerization, the gel was cut into 1–2 mm cubes using a scalpel and treated with 50% acetonitrile (ACN) in 25 mM ammonium bicarbonate. The gel pieces were then dehydrated and dried with ACN.

For protein reduction, the gel pieces were incubated with 10 mM dithiothreitol (DTT) in 50 mM ammonium bicarbonate for 30 minutes at 56°C. Excess DTT was removed, and cysteine residues were carbamidomethylated by incubating the gel pieces with 55 mM iodoacetamide in 50 mM ammonium bicarbonate for 20 minutes at room temperature in the dark. After carbamidomethylation, the gel pieces were dehydrated again.

Protein digestion was performed by rehydrating the gel pieces in 10 ng/μL trypsin solution (Promega, USA) and incubating them at 30°C overnight. Peptides were extracted from the gel pieces with 0.1% formic acid (FA) in ACN for 30 minutes at room temperature. The samples were then dried in a SpeedVac vacuum concentrator to remove residual ACN and ammonium bicarbonate. The dried peptides were reconstituted in 0.1% FA, treated with ultrasound for 3 minutes, and centrifuged at 13,000 x g for 5 minutes. Finally, the samples were purified and concentrated using C18 ZipTip pipette tips (MercK Millipore Ltd., Ireland) according to the manufacturer’s instructions and transferred to injection vials for analysis.

Liquid chromatography and mass spectrometry

The samples were analyzed using an Easy nLC 1200 UHPLC system coupled to a hybrid quadrupole-linear trap-Orbitrap Q-Exactive HF-X mass spectrometer (Thermo Fisher Scientific, USA). Data acquisition and instrument operation were performed using Tune 2.9 and Xcalibur 4.1.31.9 software. The mobile phases for UHPLC consisted of solvent A (0,1% FA in water) and solvent B (0.1% FA in 80% ACN).

From a thermostatized autosampler, 1 µL (100 ng) of the peptide mixture was loaded onto a precolumn (Acclaim PepMap 100, 75 µm x 2 cm, C18, 3 µm, 100 Å, Thermo Fisher Scientific, USA) at a flow rate of 20 µL/min. Peptides were then eluted through an analytical column (PepMap RSLC C18, 2 um, 100 Å, 75 um x 25 cm, Thermo Fisher Scientific, USA) using a 120-minute gradient from 5% to 20% solvent B, followed by a 5-minute gradient from 20% to 32% solvent B, and finally a 10 minutes gradient to 95% solvent B. The column was re-equilibrated with 5% solvent B at a constant flow rate of 300 nL/minute. Prior to sample analysis, external instrument calibration was performed using the LTQ Velos ESI Positive Ion Calibration Solution (Pierce, IL, USA). Internal calibration was achieved using the polydimethylsiloxane ion signal at m/z 445.120024 from ambient air.

For mass spectrometry analysis, MS1 scans were acquired in the m/z range of 375–1600 at a resolution of 120,000. In data-dependent acquisition mode, the 15 most intense precursor ions with charges of +2 to +5 were isolated within a 1.2 m/z window and fragmented to obtain corresponding MS2 spectra. Fragmentation was performed in a high-energy collisional dissociation (HCD) cell with a fixed first mass at 110 m/z, and the resulting ions were detected in the Orbitrap mass analyzer at a resolution of 30,000. Dynamic exclusion was set to 30 seconds. The maximum ion accumulation times were 50 ms for MS and 70 ms for MS2 scans. Automatic gain control (AGC) was used to prevent overfilling of the ion trap, with targets settled to 3 x 106 ions for full MS scans and MS2 scans and 2 x 105 ions for MS2 scans.

Protein identification

MS/MS spectra were searched against the P. savastanoi pv. savastanoi database (UniProt proteome ID: UP000005729; 4934 sequences). Raw data were analyzed using the Proteome Discoverer 2.5 software (Thermo Fisher Scientific, USA) with the Sequest HT search engine. Precursor and fragment ion mass tolerances were set to 10 ppm and 0.02 Da, respectively. Two missed trypsin cleavage sites were allowed.

Variable modifications included a methionine oxidation and N-terminal acetylation, while carbamidomethylation of cysteine residues was set as a fixed modification. The false discovery rate (FDR) for peptide and protein identification was determined using the Percolator software (integrated into Proteome Discoverer 2.5) based on a target-decoy approach, with a decoy database generated by inverting the protein sequences. A strict FDR threshold of 1% was applied. Only proteins identified by at least two unique peptide sequences were accepted.

Screening and classification of proteins found in the secretome

The bioinformatic workflow SecretFlow, designed for the selection of secreted proteins, integrates multiple software tools. Proteins containing a signal peptide were identified using SignalP 5.0 [79], PrediSi [80], and TATFind 1.4 [81]. Proteins with hydrophobic regions were filtered out using Phobius [82] and TMHMM 2.0 [83]. The subcellular localization of the selected proteins was predicted using the SOSUI-GramN database [84]. Venn diagrams were generated to visualize overlapping protein sets using the Good Calculators website (https://goodcalculators.com/venn-diagram-maker/).

Ortholog identification was performed using sequence searches in eggNOG 6.0.0 [85], and verified for individual bacterial strains through reciprocal blastp analysis on the NCBI server (https://blast.ncbi.nlm.nih.gov/Blast.cgi) against their complete proteomes.

Functional enrichment analysis

Functional enrichment analysis was performed using the ShinyGO web platform (version 0.80; http://bioinformatics.sdstate.edu/go/) to identify the roles of genes of interest identified in secretome analyses. The list of genes was formatted with compatible identifiers and uploaded to the ShinyGO interface. The P. savastanoi pv. phaseolicola 1448A database was selected to ensure accurate genomic annotation matching.

Enrichment analysis was conducted for the following categories: Gene Ontology Molecular Function (MF), Gene Ontology Biological Process (BP), Uniprot, and InterPro database. Statistical significance was assessed using the Benjamini-Hochberg method to control the FDR at a threshold of 0.05. Comparative functional enrichment graphs were generated using Python.

Prediction of functional gene relationships

Functional relationships between gene products were predicted using the STRING database (https://string-db.org/). A custom database was created using the proteome of Psv NCPPB 3335. Each LysM protein was analyzed individually to identify potential interactions and functional associations.

Construction of P. savastanoi mutants and complemented strains

The lysM genes were deleted from Psv NCPPB 3335 using the plysMX-Km plasmid collection, which contain DNA fragments flanking each lysM gene (approximately 1.2 kb on each side) separated by an nptII gene conferring kanamycin resistance. This procedure followed previously established methods [86].

For the construction of complemented strains, the complete coding sequence of each lysM gene, including its predicted ribosome-binding site (RBS), was amplified from Psv NCPPB 3335 by PCR. The resulting amplicons were verified by sequencing and individually cloned into plasmid pBBR1MCS-5 (GmR) under the control of the Plac promoter.

Plant assays

Pathogenicity assays were conducted on Olea europaea plants grown in vitro and ex vitro. Plants were derived from seeds of the cv. Arbequina germinated in vitro and maintained at 60% humidity and 26°C.

For in vitro virulence assays, a single wound was made in the stem of each plant, and 2 µL of the bacterial suspension (1 x 107 CFU/mL) was inoculated into the wound. For ex vitro virulence assays, two wounds were made in the stem of each plant using a scalpel, and each wound was inoculated with 20 µL of the bacterial suspension (1 x 107 CFU/mL). Four plants were used per strain in each of the three replicate assays.

In the in vitro assay, tumor volume was measured at the end of the 30-day trial using a 3D scanner and the Blender 3.5 software (Blender Institute, Amsterdam, The Netherlands). In the ex vitro assay, tumor volume was measured weekly over a 57-day period as described [87]. At the end of the trial, symptoms were photographed using a high-resolution digital camera (Nikon DXM 1200). Bacteria were recovered from tumors by grinding the tissue in 1 mL of sterile 10 mM MgCl2 using a mortar and pestle. Serial dilutions were plated onto LB medium supplemented with nitrofurantoin, cycloheximide, and the appropriate antibiotic, as previously described [34,37,88].

Competitive index (CI) assays were performed on in vitro olive plants. Plants were inoculated with a 1:1 mixture of wild-type and mutant bacterial suspensions prepared in 10 mM MgCl2. A single wound per plant was inoculated with approximately 5 × 10³ CFU of each strain, using five plants per experiment. After 30 dpi under controlled conditions (25°C, 50–60% humidity, and 16-hour light photoperiod), symptoms were visualized using a stereo microscope (Leica MZ FLIII; Leica Microsystems, Wetzlar, Germany). Bacteria were recovered from tumors as described above, and serial dilutions were plated onto LB medium, and LB supplemented with kanamycin (LB + Km). Colony counting was performed after 2 days of incubation at 28°C. The number of CFU corresponding to the mutant strain was determined from colonies grown on LB + Km plates, while the number of wild-type bacteria was calculated by subtracting the mutant CFU from the total CFU grown on LB plates [89,90]. The CI was calculated as the ratio of mutant to wild-type bacteria in the output sample divided by the ratio of mutants to wild-type bacteria in the input (inoculum) sample [91,92].

Motility assays

Twitching and swimming motility assays were conducted using KB medium containing 0.3% (wt/vol) and 1% (wt/vol) agar, respectively, at 25°C. Twitching motility was evaluated following previously established protocols [57,93] with minor modifications. Briefly, bacterial biomass was resuspended in 10 mM MgCl2, and 2 µl of the suspension (OD600 of 0.1) was deposited onto 1 ml KB agar overlaid on slides. Coverslips were placed over the inoculated medium to allow twitching motility at the interstitial interface created, and the samples were incubated for 24 h in a Petri dish under humid conditions. After incubation, the twitching areas were examined using a Nikon Eclipse E800 light microscope with a 20x objective lens. For swimming assays, bacterial biomass was resuspended in 10 mM MgCl2, washed three times, and adjusted to an OD600 of 1. Then, 3 µl of the bacterial suspension was inoculated into the center of the KB agar medium. After 3 days of incubation, swimming halos were measured, and their area was calculated. Statistical analyses were performed using GraphPad Prism 8 software. Images were captured using a Panasonic Lumix camera.

Growth curve analysis

Bacterial growth curves were determined by inoculating P. savastanoi cultures in 50 mL of LB broth in 250 mL flasks. Cultures were incubated at 28°C with shaking at 150 rpm. Each culture started with an initial OD600 of 0.05, and growth was monitored by measuring OD600 at hourly intervals using a spectrophotometer. To complement optical density measurements, serial dilutions were prepared in 10 mM MgCl2 and plated onto LB agar every hour to enumerate CFU. The experiment was performed in triplicate to ensure reproducibility. Statistical analysis was conducted using GraphPad 8 Prism software.

Confocal microscopy

Confocal microscopy observations were conducted using a Zeiss LSM 880 confocal microscope. A 100 µL volume from an overnight culture of each mutant was prepared for imaging. Cells were stained with FM4–64, a membrane dye, at the manufacturer-recommended concentration, and incubated for 5 minutes at room temperature. Images were captured and processed using the ZEN Blue software.

Flow cytometry

Flow cytometry measurements of size and complexity were conducted on cultures in the exponential growth phase in LB medium for all analyzed strains using a FACSverse flow cytometer. Up to a maximum of 10,000 events were counted in 1 mL of undiluted culture. The experiment was repeated three times, and data was processed and analyzed using the Kaluza software.

Protein induction and purification

The expression vectors (pET28a::lysM3 and pET28a::lysM4) were transformed in calcium chloride-treated E. coli BL21(DE3) cells. Overexpression was induced by adding 200 mM isopropyl-β-D-thiogalactoside (IPTG) when the culture reached an OD600 of 0.5-0.8 and continuing incubation at 18°C for 24 h in LB medium containing 50 µg/mL kanamycin. Cells were harvested by centrifugation at 4,500 rpm for 30 min at 4°C. For purification, cell pellets were resuspended in lysis buffer (50 mM Tris-HCl pH 8.0, 500 mM NaCl, 10 mM imidazole, 10 mM DNAse, 1 mM MnCl2, 10 mM MgCl2, 4 mM β-mercaptoethanol) and incubated at room temperature for 15 min. The cell suspension was lysed by sonication for 15 min (15 s pulses at 40% power) under ice cooling using an Ultrasonic processor (Sigma-Aldrich). The crude lysate was cleared by centrifugation at 14,000 rpm for 15 min at 4°C and purified by immobilized metal affinity chromatography (IMAC) using a HisTrap HP 1 mL column (Cytiva Europe GmbH, Freiburg in Breisgau, Germany) on an ӒKTA Go FPLC device (Cytiva). After washing with five column volumes (CV) of IMAC buffer A (50 mM Tris-HCl pH 8.0, 500 mM NaCl, 10 mM imidazole, 4 mM β-mercaptoethanol), LysM proteins were eluted with a linear gradient of IMAC buffer B (50 mM Tris-HCl pH 8.0, 500 mM NaCl, 500 mM imidazole, 4 mM β-mercaptoethanol). Eluted proteins were concentrated using Amicon Ultra filters (MercK Millipore Ltd., Ireland) and subjected to a size-exclusion chromatography using a HiLoad 16/600 Superdex 200 pg (Cytiva) column equilibrated in SEC buffer (20 mM Tris-HCl pH 8.0, 150 mM NaCl, 1 mM DTT), fractions containing LysM proteins were concentrated, flash-frozen in liquid nitrogen and stored at -80°C.

NanoDSF assays

Thermoshift assays were carried out to estimate the inflection temperature (Ti) associated with unfolding transitions of LysM3 in the presence and in the absence of ligands. Experiments were performed using the Tycho NT.6 nanoDSF instrument (NanoTemper Technologies GmbH, München, Germany) with manufacturer-designed capillaries. DSF experiments were set up in a final volume of 10 µL in DSF buffer (20 mM Hepes pH 8.0, 150 mM NaCl) containing 5 µM of protein and, when required, 0.5 mM ZnCl2 and the following ligands: D-alanine-D-alanine at 5 mM, mesodiaminopimelic acid at 5 mM, diacetyl-L-lysine-D-alanine-D-alanine at 1 mM, N-acetyl-muramoyl-L-alanine-D-isoglutamine at 20 mM, tetra-N-acetylglucosamine at 1 mM and hexa-N-acetylglucosamine at 1 mM. Three independent runs were used in each case to calculate mean Ti values and the corresponding standard deviations. The data was plotted using GraphPad Prism 8.

Protein structure analysis

Structural analyses were performed using the crystallographic structures of P60 from Thermus thermophilus (P60 Hexanag PDB code: 4zu3) [49], Csd1 from Helicobacter pylori (Csd1 PDB code: 5j1l) [50] and Pgp3 from Campylobacter jejuni (Pgp3:mDAP-D-Ala PDB code: 6jn1) [51] along with a model of LysM3 predicted by AlphaFold [94]. Structural comparisons and alignments were performed using the Research Collaboratory for Structural Bioinformatics (RCSB) PDB pairwise structure alignment tool [95]. Protein sequence alignment and structure visualization were carried out using Jalview [96] and PyMOL (Schrödinger, New York, United States), respectively.

Growth inhibition assay

The bacterial strains used in this assay are listed in S1 Table. Overnight precultures were grown at 28°C with constant shaking. The following day, cultures were adjusted to a final OD600 of 0.05 and distributed in 270 µL aliquots by triplicate into a 96-well plate. Bacteria grown in KB medium were subjected to the following treatments by adding 30 µL of the corresponding solution, with final concentrations indicated in parentheses: growth control (no additions); buffer control (20 mM Tris pH 8, and 150 mM NaCl); protein control, consisting of a transcriptional regulator from the AraC family encoded in a Psv NCPPB 3335 genomic island [97], which has no effect on bacterial growth and was purified under the same conditions as LysM3 and LysM4 (15 µM); LysM4, purified LysM4 protein (15 µM); LysM3, purified LysM3 protein (15 µM); and lysozyme, lysozyme from chicken egg white (Apollo Scientific, Whitefield, United Kingdom) (15 µM). The plates were incubated at 28°C, and OD600 measurements were recorded at regular intervals. Additionally, samples were collected for serial dilutions in 10 mM MgCl2, plated onto KB agar plates, and incubated at 28°C for two days. Data for OD600 and CFU counts were processed and analyzed using GraphPad Prism 8.

Supporting information

S1 Table. Extracelullar predicted proteins (EPPs) that are found in the wild type strain and its derivative mutants ΔhrpL and ΔhrpA and their characteristics.

https://doi.org/10.1371/journal.ppat.1013121.s001

(XLSX)

S2 Table. Bacterial strains and plasmids used in this work[98101].

https://doi.org/10.1371/journal.ppat.1013121.s002

(PDF)

S3 Table. Oligonucleotides used in this work.

https://doi.org/10.1371/journal.ppat.1013121.s003

(PDF)

S1 Fig. Functional enrichment analysis of the Pseudomonas savastanoi NCPPB 3335 secretome performed using ShinyGO.

The secretome was obtained after 12 hours of incubation in HIM medium. The analysis highlights significantly enriched gene ontology (GO) functional categories, classified by molecular function and cellular localization. The X-axis represents the number of proteins associated with each category, while the color indicates the degree of enrichment (fold enrichment). Fold enrichment represents the frequency of a given GO term in the secretome relative to its frequency in the complete deduced proteome of strain NCPPB 3335. The analysis was performed with a false discovery rate (FDR) cut-off of 0.05.

https://doi.org/10.1371/journal.ppat.1013121.s004

(PDF)

S2 Fig. Absence of LysM3 and LysM5 in P. savastanoi pv. savastanoi NCPPB 3335 reduces maximum cell counts during growth in culture medium.

(A) Growth profiles of wild-type P. savastanoi pv. savastanoi NCPPB 3335 and its ΔlysM mutants in rich medium (KB). The graph represents the average of three independent experiments. (B) Colony forming units (CFU)/mL of bacterial populations after 24 hours of growth in KB. Bars represent the mean CFU/mL ± standard error from three biological replicates. Letters above the bars denote statistically significant differences (p < 0.05) based on ANOVA followed by Tukey’s t-test.

https://doi.org/10.1371/journal.ppat.1013121.s005

(PDF)

S3 Fig. Structural and sequence comparison of the LysM and M23 domains of LysM3 with other proteins.

Crucial conserved amino acids are marked with a red arrow. (A) Structural superimposition of Lys3-LysM (AlphaFold model) and P60-LysM (PDB entry 4zu3) domains showing fold conservation (RMSD: 1.24 Å). (B) Sequence alignment of the LysM domains of P60 and LysM3, with color intensity indicating conservation levels and bars showing conservation scores. Alignment quality, consensus sequence, and occupancy are also displayed. (C) Superimposition of LysM3-M23 Alphafold model and Csd1-M23 crystal coordinates (PDB entry 5j1l) showing structural conservation (RMSD: 1.17 Å). (D) Sequence alignment of the M23 domains of Csd1 and LysM3, following the same annotation scheme as in panel B. (E) Structural superimposition of LysM3-M23 (AlphaFold model) and Pgp3-M23 crystal coordinates (PDB entry 6jn1) showing structural conservation (RMSD: 0.83 Å). (F) Sequence alignment of the M23 domains of Pgp3 and LysM3, following the same annotation scheme as in panel B.

https://doi.org/10.1371/journal.ppat.1013121.s006

(PDF)

Acknowledgments

We are grateful to A.I. Berrocal-Calle for her excellent technical assistance. We thank the Servicios Centrales de Apoyo a la Investigación (SCAI) of Universidad de Málaga for the technical support. We are grateful to A. Arroyo-Mateo for kindly providing the protein control used in the growth inhibition assay. We are thankful to J.A. Hermoso for kindly providing the ligands used in the nanoDSF experiments. We also thank Bart Thomma for critical reading of the manuscript.

References

  1. 1. Farvardin A, González-Hernández AI, Llorens E, García-Agustín P, Scalschi L, Vicedo B. The Apoplast: A Key Player in Plant Survival. Antioxidants (Basel). 2020;9(7):604. pmid:32664231
  2. 2. van Loon LC, Rep M, Pieterse CMJ. Significance of inducible defense-related proteins in infected plants. Annu Rev Phytopathol. 2006;44:135–62. pmid:16602946
  3. 3. Schlöffel MA, Käsbauer C, Gust AA. Interplay of plant glycan hydrolases and LysM proteins in plant—bacteria interactions. Int J Med Microbiol. 2019;309(3–4):252–7.
  4. 4. Wang Z, Zeng J, Deng J, Hou X, Zhang J, Yan W, et al. Pathogen-Derived Extracellular Vesicles: Emerging Mediators of Plant-Microbe Interactions. Mol Plant Microbe Interact. 2023;36(4):218–27. pmid:36574017
  5. 5. Perrot T, Pauly M, Ramírez V. Emerging roles of β-glucanases in plant development and adaptative responses. Plants. 2022;11(9).
  6. 6. Li Q, Wang C, Mou Z. Perception of Damaged Self in Plants. Plant Physiol. 2020;182(4):1545–65. pmid:31907298
  7. 7. Dodds PN, Chen J, Outram MA. Pathogen perception and signaling in plant immunity. Plant Cell. 2024;36(5):1465–81. pmid:38262477
  8. 8. Felix G, Regenass M, Boller T. Specific perception of subnanomolar concentrations of chitin fragments by tomato cells: induction of extracellular alkalinization, changes in protein phosphorylation, and establishment of a refractory state. Plant J. 1993;4(2):307–16.
  9. 9. Gust AA, Biswas R, Lenz HD, Rauhut T, Ranf S, Kemmerling B, et al. Bacteria-derived peptidoglycans constitute pathogen-associated molecular patterns triggering innate immunity in Arabidopsis. J Biol Chem. 2007;282(44):32338–48. pmid:17761682
  10. 10. Gimenez-Ibanez S, Ntoukakis V, Rathjen JP. The LysM receptor kinase CERK1 mediates bacterial perception in Arabidopsis. Plant Signal Behav. 2009;4(6):539–41. pmid:19816132
  11. 11. Willmann R, Lajunen HM, Erbs G, Newman M-A, Kolb D, Tsuda K, et al. Arabidopsis lysin-motif proteins LYM1 LYM3 CERK1 mediate bacterial peptidoglycan sensing and immunity to bacterial infection. Proc Natl Acad Sci U S A. 2011;108(49):19824–9. pmid:22106285
  12. 12. Desaki Y, Miyata K, Suzuki M, Shibuya N, Kaku H. Plant immunity and symbiosis signaling mediated by LysM receptors. Innate Immun. 2018;24(2):92–100. pmid:29105533
  13. 13. Buist G, Steen A, Kok J, Kuipers OP. LysM, a widely distributed protein motif for binding to (peptido)glycans. Mol Microbiol. 2008;68(4):838–47. pmid:18430080
  14. 14. Bolton MD, van Esse HP, Vossen JH, de Jonge R, Stergiopoulos I, Stulemeijer IJE, et al. The novel Cladosporium fulvum lysin motif effector Ecp6 is a virulence factor with orthologues in other fungal species. Mol Microbiol. 2008;69(1):119–36. pmid:18452583
  15. 15. de Jonge R, van Esse HP, Kombrink A, Shinya T, Desaki Y, Bours R, et al. Conserved fungal LysM effector Ecp6 prevents chitin-triggered immunity in plants. Science. 2010;329(5994):953–5. pmid:20724636
  16. 16. Sánchez-Vallet A, Mesters JR, Thomma BPHJ. The battle for chitin recognition in plant-microbe interactions. FEMS Microbiol Rev. 2015;39(2):171–83. pmid:25725011
  17. 17. Tian H, MacKenzie CI, Rodriguez-Moreno L, van den Berg GCM, Chen H, Rudd JJ, et al. Three LysM effectors of Zymoseptoria tritici collectively disarm chitin-triggered plant immunity. Mol Plant Pathol. 2021;22(6):683–93.
  18. 18. Sánchez-Vallet A, Saleem-Batcha R, Kombrink A, Hansen G, Valkenburg D-J, Thomma BPHJ, et al. Fungal effector Ecp6 outcompetes host immune receptor for chitin binding through intrachain LysM dimerization. Elife. 2013;2:e00790. pmid:23840930
  19. 19. Sánchez-Vallet A, Tian H, Rodriguez-Moreno L, Valkenburg D-J, Saleem-Batcha R, Wawra S, et al. A secreted LysM effector protects fungal hyphae through chitin-dependent homodimer polymerization. PLoS Pathog. 2020;16(6):e1008652. pmid:32574207
  20. 20. Vermassen A, Leroy S, Talon R, Provot C, Popowska M, Desvaux M. Cell Wall Hydrolases in Bacteria: Insight on the Diversity of Cell Wall Amidases, Glycosidases and Peptidases Toward Peptidoglycan. Front Microbiol. 2019;10:331. pmid:30873139
  21. 21. Costa TRD, Felisberto-Rodrigues C, Meir A, Prevost MS, Redzej A, Trokter M, et al. Secretion systems in Gram-negative bacteria: structural and mechanistic insights. Nat Rev Microbiol. 2015;13(6):343–59. pmid:25978706
  22. 22. Green ER, Mecsas J. Bacterial secretion systems: an overview. Microbiol Spectr. 2016;4(1).
  23. 23. Toyofuku M, Nomura N, Eberl L. Types and origins of bacterial membrane vesicles. Nat Rev Microbiol. 2019;17(1):13–24. pmid:30397270
  24. 24. Büttner D, He SY. Type III protein secretion in plant pathogenic bacteria. Plant Physiol. 2009;150(4):1656–64. pmid:19458111
  25. 25. Schulze S, Kay S, Büttner D, Egler M, Eschen-Lippold L, Hause G, et al. Analysis of new type III effectors from Xanthomonas uncovers XopB and XopS as suppressors of plant immunity. New Phytol. 2012;195(4):894–911.
  26. 26. Block A, Toruño TY, Elowsky CG, Zhang C, Steinbrenner J, Beynon J, et al. The Pseudomonas syringae type III effector HopD1 suppresses effector-triggered immunity, localizes to the endoplasmic reticulum, and targets the Arabidopsis transcription factor NTL9. New Phytol. 2014;201(4):1358–70.
  27. 27. Marín-Ponce LF, Rodríguez-Puerto C, Rocha-Loyola P, Rojas CM. The Pseudomonas syringae pv. tomato DC3000 effector HopD1 interferes with cellular dynamics associated with the function of the plant immune protein AtNHR2B. Front Microbiol. 2023;14:1305899. pmid:38075927
  28. 28. Bernal P, Llamas MA, Filloux A. Type VI secretion systems in plant-associated bacteria. Environ Microbiol. 2018;20(1):1–15. pmid:29027348
  29. 29. Sheedlo MJ, Ohi MD, Lacy DB, Cover TL. Molecular architecture of bacterial type IV secretion systems. PLoS Pathog. 2022;18(8):e1010720. pmid:35951533
  30. 30. Korotkov KV, Sandkvist M, Hol WGJ. The type II secretion system: biogenesis, molecular architecture and mechanism. Nat Rev Microbiol. 2012;10(5):336–51.
  31. 31. Solé M, Scheibner F, Hoffmeister A-K, Hartmann N, Hause G, Rother A, et al. Xanthomonas campestris pv. vesicatoria Secretes Proteases and Xylanases via the Xps Type II Secretion System and Outer Membrane Vesicles. J Bacteriol. 2015;197(17):2879–93. pmid:26124239
  32. 32. Lee Erickson J, Schuster M. Extracellular proteases from microbial plant pathogens as virulence factors. Curr Opin Plant Biol. 2024;82.
  33. 33. Berge O, Monteil CL, Bartoli C, Chandeysson C, Guilbaud C, Sands DC, et al. A user’s guide to a data base of the diversity of Pseudomonas syringae and its application to classifying strains in this phylogenetic complex. PLoS One. 2014;9(9):e105547. pmid:25184292
  34. 34. Matas IM, Lambertsen L, Rodríguez-Moreno L, Ramos C. Identification of novel virulence genes and metabolic pathways required for full fitness of Pseudomonas savastanoi pv. savastanoi in olive (Olea europaea) knots. New Phytol. 2012;196(4):1182–96. pmid:23088618
  35. 35. Ramos C, Matas IM, Bardaji L, Aragón IM, Murillo J. Pseudomonas savastanoi pv. savastanoi: some like it knot. Mol Plant Pathol. 2012;13(9):998–1009. pmid:22805238
  36. 36. Caballo-Ponce E, Murillo J, Martínez-Gil M, Moreno-Pérez A, Pintado A, Ramos C. Knots Untie: Molecular Determinants Involved in Knot Formation Induced by Pseudomonas savastanoi in Woody Hosts. Front Plant Sci. 2017;8:1089. pmid:28680437
  37. 37. Pérez-Martínez I, Rodríguez-Moreno L, Lambertsen L, Matas IM, Murillo J, Tegli S, et al. Fate of a Pseudomonas savastanoi pv. savastanoi type III secretion system mutant in olive plants (Olea europaea L.). Appl Environ Microbiol. 2010;76(11):3611–9. pmid:20363790
  38. 38. Moreno-pérez A, Ramos C, Rodríguez-moreno L. HrpL regulon of bacterial pathogen of woody host Pseudomonas savastanoi pv. savastanoi NCPPB 3335. Microorganisms. 2021;9(7).
  39. 39. Kim BJ, Park JH, Park TH, Bronstein PA, Schneider DJ, Cartinhour SW, et al. Effect of iron concentration on the growth rate of Pseudomonas syringae and the expression of virulence factors in hrp-inducing minimal medium. Appl Environ Microbiol. 2009;75(9):2720–6. pmid:19270129
  40. 40. Ge SX, Jung D, Yao R. ShinyGO: a graphical gene-set enrichment tool for animals and plants. Bioinformatics. 2020;36(8):2628–9. pmid:31882993
  41. 41. Cerveny L, Straskova A, Dankova V, Hartlova A, Ceckova M, Staud F, et al. Tetratricopeptide repeat motifs in the world of bacterial pathogens: role in virulence mechanisms. Infect Immun. 2013;81(3):629–35. pmid:23264049
  42. 42. Semmler ABT, Whitchurch CB, Leech AJ, Mattick JS. Identification of a novel gene, fimV, involved in twitching motility in Pseudomonas aeruginosa. Microbiology (Reading). 2000;146(Pt 6):1321–32. pmid:10846211
  43. 43. Razew A, Schwarz J-N, Mitkowski P, Sabala I, Kaus-Drobek M. One fold, many functions-M23 family of peptidoglycan hydrolases. Front Microbiol. 2022;13:1036964. pmid:36386627
  44. 44. Rocaboy M, Herman R, Sauvage E, Remaut H, Moonens K, Terrak M, et al. The crystal structure of the cell division amidase amic reveals the fold of the AMIN domain, a new peptidoglycan binding domain. Mol Microbiol. 2013;90(2):267–77.
  45. 45. Kerff F, Petrella S, Mercier F, Sauvage E, Herman R, Pennartz A, et al. Specific structural features of the N-acetylmuramoyl-L-alanine amidase AmiD from Escherichia coli and mechanistic implications for enzymes of this family. J Mol Biol. 2010;397(1):249–59. pmid:20036252
  46. 46. Wadhwa N, Berg HC. Bacterial motility: machinery and mechanisms. Nat Rev Microbiol. 2022;20(3):161–73. pmid:34548639
  47. 47. Bonis M, Ecobichon C, Guadagnini S, Prévost M-C, Boneca IG. A M23B family metallopeptidase of Helicobacter pylori required for cell shape, pole formation and virulence. Mol Microbiol. 2010;78(4):809–19. pmid:20815828
  48. 48. Kombrink A, Thomma BPHJ. LysM effectors: secreted proteins supporting fungal life. PLoS Pathog. 2013;9(12):e1003769. pmid:24348247
  49. 49. Wong JEMM, Midtgaard SR, Gysel K, Thygesen MB, Sørensen KK, Jensen KJ, et al. An intermolecular binding mechanism involving multiple LysM domains mediates carbohydrate recognition by an endopeptidase. Acta Crystallogr D Biol Crystallogr. 2015;71(Pt 3):592–605. pmid:25760608
  50. 50. An DR, Im HN, Jang JY, Kim HS, Kim J, Yoon HJ, et al. Structural Basis of the Heterodimer Formation between Cell Shape-Determining Proteins Csd1 and Csd2 from Helicobacter pylori. PLoS One. 2016;11(10):e0164243. pmid:27711177
  51. 51. Min K, An DR, Yoon H-J, Rana N, Park JS, Kim J, et al. Peptidoglycan reshaping by a noncanonical peptidase for helical cell shape in Campylobacter jejuni. Nat Commun. 2020;11(1):458. pmid:31974386
  52. 52. Baba T, Schneewind O. Target cell specificity of a bacteriocin molecule: a C-terminal signal directs lysostaphin to the cell wall of Staphylococcus aureus. EMBO J. 1996;15(18):4789–97. pmid:8890152
  53. 53. Rojas AM, Rios JEGdL, Saux MF-L, Jimenez P, Reche P, Bonneau S, et al. Erwinia toletana sp. nov., associated with Pseudomonas savastanoi-induced tree knots. Int J Syst Evol Microbiol. 2004;54(Pt 6):2217–22. pmid:15545461
  54. 54. Marchi G, Sisto A, Cimmino A, Andolfi A, Cipriani MG, Evidente A. Interaction between Pseudomonas savastanoi pv. savastanoi and Pantoea agglomerans in olive knots. Plant Pathology. 2006;55(5):614–24.
  55. 55. Taguchi F, Ichinose Y. Role of type IV pili in virulence of Pseudomonas syringae pv. tabaci 6605: correlation of motility, multidrug resistance, and HR-inducing activity on a nonhost plant. Mol Plant Microbe Interact. 2011;24(9):1001–11. pmid:21615203
  56. 56. Rossmann F, Brenzinger S, Knauer C, Dörrich AK, Bubendorfer S, Ruppert U, et al. The role of FlhF and HubP as polar landmark proteins in Shewanella putrefaciens CN-32. Mol Microbiol. 2015;98(4):727–42. pmid:26235439
  57. 57. Zhang Y, Han L, Zhang L, Xu C, Shi X, Hikichi Y, et al. Expression of Ralstonia solanacearum type III secretion system is dependent on a novel type 4 pili (T4P) assembly protein (TapV) but is T4P independent. Mol Plant Pathol. 2020;21(6):777–93. pmid:32196936
  58. 58. Ichinose Y, Sawada T, Matsui H, Yamamoto M, Toyoda K, Noutoshi Y, et al. Motility-mediated regulation of virulence in Pseudomonas syringae. Physiol Mol Plant Pathol. 2016;95:50–4.
  59. 59. Buensuceso RNC, Nguyen Y, Zhang K, Daniel-Ivad M, Sugiman-Marangos SN, Fleetwood AD, et al. The Conserved Tetratricopeptide Repeat-Containing C-Terminal Domain of Pseudomonas aeruginosa FimV Is Required for Its Cyclic AMP-Dependent and -Independent Functions. J Bacteriol. 2016;198(16):2263–74. pmid:27297880
  60. 60. Moon KH, Zhao X, Xu H, Liu J, Motaleb MA. A tetratricopeptide repeat domain protein has profound effects on assembly of periplasmic flagella, morphology and motility of the lyme disease spirochete Borrelia burgdorferi. Mol Microbiol. 2018;110(4):634–47. pmid:30303576
  61. 61. Siewering K, Jain S, Friedrich C, Webber-Birungi MT, Semchonok DA, Binzen I, et al. Peptidoglycan-binding protein TsaP functions in surface assembly of type IV pili. Proc Natl Acad Sci U S A. 2014;111(10):E953-61. pmid:24556993
  62. 62. McCallum M, Tammam S, Rubinstein JL, Burrows LL, Howell PL. CryoEM map of Pseudomonas aeruginosa PilQ enables structural characterization of TsaP. Structure. 2021;29(5):457–66.e4. pmid:33338410
  63. 63. Uehara T, Parzych KR, Dinh T, Bernhardt TG. Daughter cell separation is controlled by cytokinetic ring-activated cell wall hydrolysis. EMBO J. 2010;29(8):1412–22.
  64. 64. Tsang M-J, Yakhnina AA, Bernhardt TG. NlpD links cell wall remodeling and outer membrane invagination during cytokinesis in Escherichia coli. PLoS Genet. 2017;13(7):e1006888. pmid:28708841
  65. 65. Stohl EA, Lenz JD, Dillard JP, Seifert HS. The gonococcal NlpD protein facilitates cell separation by activating peptidoglycan cleavage by AmiC. J Bacteriol. 2016;198(4):615–22.
  66. 66. Tidhar A, Levy Y, Zauberman A, Vagima Y, Gur D, Aftalion M, et al. Disruption of the NlpD lipoprotein of the plague pathogen Yersinia pestis affects iron acquisition and the activity of the twin-arginine translocation system. PLoS Negl Trop Dis. 2019;13(6):e0007449. pmid:31170147
  67. 67. Xue J, Meng K, Lv J, Liu L, Duan F, Ji X, et al. NlpD as a crucial factor in desiccation resistance and biofilm formation in Cronobacter sakazakii. Sci Rep. 2025;15(1):1–13.
  68. 68. Ji X, Lu P, Xue J, Zhao N, Zhang Y, Dong L, et al. The lipoprotein NlpD in Cronobacter sakazakii responds to acid stress and regulates macrophage resistance and virulence by maintaining membrane integrity. Virulence. 2021;12(1):415–29. pmid:33459158
  69. 69. Hsieh CY, Wang JF, Huang PC, Lu DK, Lin YM, Yang WC, et al. Ralstonia solanacearum nlpD (RSc1206) contributes to host adaptation. Eur J Plant Pathol. 2012;133(3):645–56.
  70. 70. Hugouvieux-Cotte-Pattat N, Condemine G, Shevchik VE. Bacterial pectate lyases, structural and functional diversity. Environ Microbiol Rep. 2014;6(5):427–40. pmid:25646533
  71. 71. Hood RD, Singh P, Hsu F, Güvener T, Carl MA, Trinidad RRS, et al. A type VI secretion system of Pseudomonas aeruginosa targets a toxin to bacteria. Cell Host Microbe. 2010;7(1):25–37. pmid:20114026
  72. 72. Egan AJF, Vollmer W. The physiology of bacterial cell division. Ann N Y Acad Sci. 2013;1277(1):8–28.
  73. 73. Hosni T, Moretti C, Devescovi G, Suarez-Moreno ZR, Fatmi MB, Guarnaccia C, et al. Sharing of quorum-sensing signals and role of interspecies communities in a bacterial plant disease. ISME J. 2011;5(12):1857–70. pmid:21677694
  74. 74. Passos da Silva D, Castañeda-Ojeda MP, Moretti C, Buonaurio R, Ramos C, Venturi V. Bacterial multispecies studies and microbiome analysis of a plant disease. Microbiology (Reading). 2014;160(Pt 3):556–66. pmid:24421406
  75. 75. Buonaurio R, Moretti C, da Silva DP, Cortese C, Ramos C, Venturi V. The olive knot disease as a model to study the role of interspecies bacterial communities in plant disease. Front Plant Sci. 2015;6:434. pmid:26113855
  76. 76. Moretti C, Rezzonico F, Orfei B, Cortese C, Moreno-Pérez A, van den Burg HA, et al. Synergistic interaction between the type III secretion system of the endophytic bacterium Pantoea agglomerans DAPP-PG 734 and the virulence of the causal agent of olive knot Pseudomonas savastanoi pv. savastanoi DAPP-PG 722. Mol Plant Pathol. 2021;22(10):1209–25. pmid:34268839
  77. 77. Bertani G. Studies on lysogenesis. I. The mode of phage liberation by lysogenic Escherichia coli. J Bacteriol. 1951;62(3):293–300. pmid:14888646
  78. 78. King E, Ward M, Raney D. Two simple media for the demonstration of pyocyanin and fluorescin. Journal Lab Clinal Med. 1954;301–7.
  79. 79. Almagro Armenteros JJ, Tsirigos KD, Sønderby CK, Petersen TN, Winther O, Brunak S, et al. SignalP 5.0 improves signal peptide predictions using deep neural networks. Nat Biotechnol. 2019;37(4):420–3. pmid:30778233
  80. 80. Hiller K, Grote A, Scheer M, Münch R, Jahn D. PrediSi: prediction of signal peptides and their cleavage positions. Nucleic Acids Res. 2004;32(Web Server issue):W375-9. pmid:15215414
  81. 81. Dilks K, Rose RW, Hartmann E, Pohlschröder M. Prokaryotic utilization of the twin-arginine translocation pathway: a genomic survey. J Bacteriol. 2003;185(4):1478–83. pmid:12562823
  82. 82. Käll L, Krogh A, Sonnhammer ELL. Advantages of combined transmembrane topology and signal peptide prediction--the Phobius web server. Nucleic Acids Res. 2007;35(Web Server issue):W429-32. pmid:17483518
  83. 83. Krogh A, Larsson B, von Heijne G, Sonnhammer EL. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J Mol Biol. 2001;305(3):567–80. pmid:11152613
  84. 84. Imai K, Asakawa N, Tsuji T, Akazawa F, Ino A, Sonoyama M, et al. SOSUI-GramN: high performance prediction for sub-cellular localization of proteins in gram-negative bacteria. Bioinformation. 2008;2(9):417–21. pmid:18795116
  85. 85. Hernández-Plaza A, Szklarczyk D, Botas J, Cantalapiedra CP, Giner-Lamia J, Mende DR, et al. eggNOG 6.0: enabling comparative genomics across 12 535 organisms. Nucleic Acids Res. 2023;51:D389–94.
  86. 86. Matas IM, Castañeda-Ojeda MP, Aragón IM, Antúnez-Lamas M, Murillo J, Rodríguez-Palenzuela P, et al. Translocation and functional analysis of Pseudomonas savastanoi pv. savastanoi NCPPB 3335 type III secretion system effectors reveals two novel effector families of the Pseudomonas syringae complex. Mol Plant Microbe Interact. 2014;27(5):424–36. pmid:24329173
  87. 87. Moretti C, Ferrante P, Hosni T, Valentini F, D’Onghia A, Fatmi M, et al. Characterization of Pseudomonas savastanoi pv. savastanoi strains collected from olive trees in different countries. In: Pseudomonas syringae Pathovars Relat Pathog Identification, Epidemiol Genomics. 2008. p. 321–9.
  88. 88. Penyalver R, García A, Ferrer A, Bertolini E, Quesada JM, Salcedo CI, et al. Factors Affecting Pseudomonas savastanoi pv. savastanoi Plant Inoculations and Their Use for Evaluation of Olive Cultivar Susceptibility. Phytopathology. 2006;96(3):313–9. pmid:18944447
  89. 89. Macho AP, Zumaquero A, Ortiz-Martín I, Beuzón CR. Competitive index in mixed infections: a sensitive and accurate assay for the genetic analysis of Pseudomonas syringae-plant interactions. Mol Plant Pathol. 2007;8(4):437–50. pmid:20507512
  90. 90. Macho A. Subversion of plant cellular functions by bacterial type-III effectors: beyond suppression of immunity. New Phytol. 2016:51–7.
  91. 91. Freter R, O’Brien PC, Macsai MS. Role of chemotaxis in the association of motile bacteria with intestinal mucosa: in vivo studies. Infect Immun. 1981;34(1):234–40. pmid:7298185
  92. 92. Taylor JD, Bevan JR, Crute IR, Reader SL. Genetic relationship between races of Pseudomonas syringae py. pisi and cultivars of Pisum sativum. Plant Pathol. 1989:364–75.
  93. 93. Turnbull L, Whitchurch CB. Motility assay: twitching motility. Methods Mol Biol. 2014;1149:73–86. pmid:24818899
  94. 94. Mirdita M, Schütze K, Moriwaki Y, Heo L, Ovchinnikov S, Steinegger M. ColabFold: making protein folding accessible to all. Nat Methods. 2022;19(6):679–82. pmid:35637307
  95. 95. Bittrich S, Segura J, Duarte JM, Burley SK, Rose Y. RCSB protein Data Bank: exploring protein 3D similarities via comprehensive structural alignments. Bioinformatics. 2024;40(6):btae370. pmid:38870521
  96. 96. Waterhouse AM, Procter JB, Martin DMA, Clamp M, Barton GJ. Jalview Version 2--a multiple sequence alignment editor and analysis workbench. Bioinformatics. 2009;25(9):1189–91. pmid:19151095
  97. 97. Caballo-Ponce E, van Dillewijn P, Wittich RM, Ramos C. WHOP, a Genomic Region Associated With Woody Hosts in the Pseudomonas syringae Complex Contributes to the Virulence and Fitness of Pseudomonas savastanoi pv. savastanoi in Olive Plants. Mol Plant Microbe Interact. 2017;30(2):113–26. pmid:28027024
  98. 98. Hanahan D. Studies on transformation of Escherichia coli with plasmids. J Mol Biol. 1983;166(4):557–80. pmid:6345791
  99. 99. Studier FW, Moffatt BA. Use of bacteriophage T7 RNA polymerase to direct selective high-level expression of cloned genes. J Mol Biol. 1986;189(1):113–30. pmid:3537305
  100. 100. Rodríguez-Palenzuela P, Matas IM, Murillo J, López-Solanilla E, Bardaji L, Pérez-Martínez I, et al. Annotation and overview of the Pseudomonas savastanoi pv. savastanoi NCPPB 3335 draft genome reveals the virulence gene complement of a tumour-inducing pathogen of woody hosts. Environ Microbiol. 2010;12(6):1604–20. pmid:20370821
  101. 101. Branda SS, González-Pastor JE, Ben-Yehuda S, Losick R, Kolter R. Fruiting body formation by Bacillus subtilis. Proc Natl Acad Sci. 2001;98(20):11621–6.