Abstract
Tomato pith necrosis is a damaging disease affecting greenhouse and field-grown tomato production globally, often associated with environmental stress and excessive nitrogen fertilization. This study investigates the bacterial etiology and the (inter)national context of disease outbreaks during the 2023–2024 growing seasons in Al Taif, Saudi Arabia (SA). Sixteen bacterial isolates were recovered from symptomatic plants, and phenotypic and molecular analyses identified Pseudomonas mediterranea (n = 12) and Pseudomonas viridiflava (n = 4) as the causal agents, although Pseudomonas corrugata and Pseudomonas fluorescens biotype I have also been reported from SA in the past. P. mediterranea was the most prevalent species, consistent with earlier findings in southern Europe. Genetic characterization using multilocus sequence typing and minimum spanning tree analysis revealed high genetic diversity in P. viridiflava, including a novel singleton lineage, indicating potential local adaptation, and all SA strains belonged to Pseudomonas syringae (sensu latu) phylogroup 7a. In contrast, P. mediterranea isolates exhibited lower genetic diversity, but six novel sequence types (ST8–ST13) were identified exclusively in SA strains, forming a distinct phylogenetic clade. Pathogenicity assays showed that P. viridiflava caused severe necrosis, while P. mediterranea caused internal browning without wilting, suggesting a difference in virulence. The co-occurrence of both species in the same greenhouses highlights the complexity of disease dynamics and potential interactions between these pathogens. Given the global relevance of P. syringae phylogroup 7a, mainly formed by P. viridiflava strains, and the risk of pathogen spread via plant trade, this study underscores the importance of stringent phytosanitary controls and accurate diagnostics tailored to regional pathogen variants.
Similar content being viewed by others
Introduction
Tomato (Solanum lycopersicum L.) cultivation in Saudi Arabia is particularly significant, especially under controlled greenhouse conditions. In 2023, greenhouse vegetable production in Saudi Arabia reached 721,000 metric tons, with tomato accounting for 36.7% of the total greenhouse area and yielding approximately 300,000 tons1.
Bacterial pith necrosis affects tomato across various regions worldwide (see Supplementary Table 1, S1) and occasionally other crops, such as pepper (Capsicum annuum), chrysanthemum (Chrysanthemum morifolium), geranium (Geranium spp.), and eggplant (Solanum melongena). This disease can occur at any developmental stage and in various cultivation systems, including greenhouses, open fields, and hydroponic farming2,3, causing severe wilting and collapse of plants. Brown necrotic patches develop on the stem, accompanied by internal pith necrosis, soft rot, and browning of the vascular tissues, leading to plant collapse of the plant4. It typically develops in environments characterized by cool temperatures, high humidity, and limited sunlight, especially in plants subjected to excessive nitrogen fertilization2.
The disease was first observed in New Zealand, where it was associated with Pseudomonas cichorii5, and shortly thereafter in the United Kingdom (UK), where it was linked to Pseudomonas corrugata4, the pathogen most frequently implicated. Since then, outbreaks have been documented in several other countries (Table S1). Other pathogens involved either as a sole agent or in combination include Pseudomonas marginalis, Pseudomonas mediterranea, and Pseudomonas viridiflava, while Pseudomonas fluorescens biotype I and Pseudomonas putida have also been associated with pith necrosis, although they typically cause much milder symptoms. In Italy, Xanthomonas perforans has also been identified as a causal agent6. P. corrugata, P. mediterranea, and P. viridiflava can cause extensive pith necrosis, whereas the other pathogens mainly cause chlorosis and internal stem discoloration with little or no pith rot7.
The main species worldwide associated with pith necrosis belong to two major groups: P. corrugata and P. mediterranea are members of the oxidase-positive P. fluorescens complex, mainly comprising saprophytic and/or weakly plant pathogenic species8,9. P. viridiflava, belongs to the oxidase-negative Pseudomonas syringae complex10,11, which includes important and virulent plant pathogens that may also occur as harmless epi- or endophytes12,13,14.
Tomato pith necrosis (TPN) is one of the most serious diseases affecting tomato in Saudi Arabia, and earlier studies identified P. fluorescens (biotype I) and P. corrugata as the primary pathogens15,16. Mixed infections involving multiple pathogens occur and can significantly exacerbate severity of TPN3,17,18,19.
Traditionally, species of the genus Pseudomonas have been differentiated using standard biochemical schemes such as the LOPAT profile20,21, which provides a preliminary framework for taxonomic identification before molecular confirmation.
Advancements in molecular tools such as (real-time) PCR, multilocus sequence typing (MLST) and whole-genome sequencing have become essential for taxonomic classification, phylogenetic analysis, and epidemiological tracking of plant-associated bacteria22,23. MLST, in particular, provides high-resolution bacterial typing by sequencing multiple housekeeping genes, generating a detailed genetic fingerprint for precise strain differentiation24,25,26. This technique has been successfully applied to various phytopathogens, including members of the P. syringae complex10,27,28. In the present study, we focused on the molecular characterization of Pseudomonas spp. associated with TPN symptoms in Saudi Arabia. Our objectives were to identify the Pseudomonas species responsible for the disease using phenotypic, biochemical, and pathogenicity tests, to assess the genetic diversity of Pseudomonas strains, and to analyse their phylogenetic relationships using MLST with five housekeeping genes. This report is the first to identify P. mediterranea and P. viridiflava as causal agents of TPN in the Al Taif region, Saudi Arabia, deepening our understanding of the etiology and epidemiology of this disease and its possible control.
Materials and methods
Sampling, isolation, and purification of bacteria
Surveys were conducted from March to June during the 2023–2024 growing seasons to determine the incidence of TPN disease and the identity of the bacterial pathogens causing pith necrosis in tomato grown in commercial greenhouses across various locations in the Al Taif region of Saudi Arabia. All diseased tomato plants that exhibited typical symptoms of stem and pith necrosis (Fig. 1) were collected during March (10)–June (12), and the average disease incidence for each location was calculated. A small piece of infected pith was soaked in 0.6% sodium hypochlorite for 1 min, placed in a sterile mortar, and macerated in sterile distilled water (SDW) with a pestle. Loopfuls of the suspension were streaked on plates of nutrient agar containing 5% D+ glucose (NGA) and King’s medium B (KB) plates29. The plates were incubated at 28 °C and examined after 48 h. Pure cultures were obtained from these colonies20 and stored at − 20 °C in 20% glycerol.
Symptoms of pith necrosis observed in tomato plants (natural infection): (A) Early external symptoms, showing longitudinal brown streaks and stem cracking, (B) progression of symptoms with severe stem collapse and darkened necrotic tissues, and (C) internal stem sections displaying characteristic pith degradation, hollowing, browning, and complete necrosis of internal tissues.
Biochemical identification
All 16 isolates and reference strains of P. mediterranea (CFBP5447T) and P. viridiflava (PV273 and CFBP2107T) were characterized using a set of biochemical and physiological tests, following a previously established protocol30. These assays included Gram staining, fluorescence on King’s B, levan production, oxidase activity, pectolytic activity, arginine dihydrolase activity, nitrate reduction, gelatine and lecithin hydrolysis, poly-β-hydroxybutyrate accumulation, and the ability of isolates to grow at 37 °C after 48 h in nutrient broth (NB; Difco). The pectolytic activity was tested on potato tuber slices. Each test was performed in duplicate.
Hypersensitivity and pathogenicity tests
Tobacco leaves (Nicotiana tabacum) were infiltrated with a 24-h-old bacterial suspension (108 CFU ml−1) in SDW, using the procedure described by20. Necrosis that developed 24–48 h after infiltration was recorded as a positive hypersensitivity reaction. A pathogenicity test was carried out on 6-week-old tomato seedlings cv. Sun Gold grown in 20-cm pots containing sterile peat. The inoculation was performed on the axil of the first true leaf, using a hypodermic syringe with 50 µl inoculum/plant (two injections for each plant). Five tomato plants were used for each isolate. Briefly, the inoculum was grown for 24 h at 28 °C on King’s B medium and suspended at a concentration of 108 cells/ml in SDW. SDW was used as a negative control31. After inoculation, tomato plants were covered with plastic bags for 48 h and then maintained at 70% relative humidity and 25–28 °C for 48 h under a 16 h photoperiod. After two days, the cover was removed, and the plants were grown under greenhouse conditions. Disease symptoms were evaluated, and plants were sectioned to determine the presence of pith necrosis and vascular discoloration 30 days post-inoculation. Bacteria were re-isolated and characterized morphologically, physiologically, and biochemically to fulfil Koch’s postulates.
DNA extraction
Genomic DNA was extracted from bacterial cultures grown on NGA for 24 h at 28 °C. Cells were harvested with a sterile loop and suspended in 500 µl of extraction buffer (2% CTAB, 100 mM Tris–HCl pH 8.0, 25 mM EDTA, 1.4 M NaCl, 1% polyvinylpyrrolidone, 2% β-mercaptoethanol followed by an hour incubation at room temperature and five minutes centrifugation at 10,000 g. The clear supernatant was transferred to a new microcentrifuge tube and the aqueous phase was purified and extracted using an equal volume of chloroform-isoamyl alcohol (24:1)32. The DNA was precipitated with isopropyl alcohol, washed with 70% ethyl alcohol, resuspended in 75 μl of nuclease-free water and stored at − 80 °C until use.
PCR amplification and sequencing
Partial sequences of five housekeeping genes: rpoB (encoding RNA polymerase beta subunit), rpoD (encoding sigma factor 70), cts (encoding citrate synthase), pfk (encoding phosphofructokinase), and gyrB (encoding gyrase)25 were amplified and sequenced. The PCR reactions were performed in a 25 µl volumes containing 2 µl of DNA template (50 ng); 0.2 µM of each primer (Table 1); 12.5 µl of 2 × ready mix PCR reaction mixture amaR OnePCR ™ (Simply Biologics, San Diego CA, USA). PCR reactions were run on a Nexus Gradient Master Cycler [Eppendorf, Hamburg, DE] using the following profile: initial denaturation at 94 °C for 2 min, followed by 30 cycles of denaturation at 94 °C for 2 min, annealing temperature at primer-specific temperatures (Table 1) for 1 min, and extension at 72 °C for 1 min.
MLST was carried out by concatenating the sequences of the five housekeeping genes (rpoB, rpoD, cts, pfk, and gyrB) into a 3545 bp alignment for 16 local isolates plus 49 reference sequences retrieved from GenBank representing P. mediterranea, P. viridiflava, P. syringae, P. corrugata, and P. cichorii) (Table S2).
Sequence types (STs) were defined based on unique allelic profiles across the analyzed loci following established MLST methodology24. Each distinct allele at a locus was assigned a number, and isolates sharing identical allele combinations were grouped into the same ST. Novel allelic combinations not previously reported were designated as new STs. Allele designations and reference profiles were retrieved from the Plant-Associated and Environmental Microbes Database (PAEMD) (http://genome.oows.vt.edu) (Table S3).
Minimum spanning tree (MST) analysis
To assess genetic relations among identified STs, minimum spanning trees (MSTs) were generated using BIONUMERICS v7.6 (Applied Maths, bioMérieux, France). MSTs based on allelic profiles to infer evolutionary connectivity and visualize clustering patterns. Separate MSTs were constructed for P. mediterranea (five genes) and P. viridiflava (three genes), with Saudi isolates highlighted to illustrate regional clustering patterns.
DNA polymorphism and neutrality tests
Sequences were aligned using CLUSTAL W, Bioedit33. To assess within-species genetic diversity, DNA polymorphism parameters including the number of segregating sites (S), haplotype diversity (Hd), and nucleotide diversity (π) were estimated using DnaSP v6.12.0334. Neutrality was evaluated using Tajima’s D, Fu and Li’s D*, and Fu and Li’s F* statistics to detect departures from neutral evolution. These analyses were performed separately for P. mediterranea and P. viridiflava.
Results
Incidence, symptomatology, and phenotypic characterization of Saudi isolates associated with TPN in Al Taif, Saudi Arabia
Based on observable external symptoms, the average disease incidence attributed to Pseudomonas species was estimated at approximately 20–25% across two hectares representing ten nurseries/production entities. Affected plants exhibited yellowing and wilting of the lower leaves, irregular dark brown to black lesions of varying sizes on the stem, and internal browning of the pith, consistent with the symptoms described in the Materials and Methods section (Fig. 1). These symptoms were most frequently observed in tomato plants grown under glasshouse conditions in the Al Taif region of Saudi Arabia. In total, sixteen isolates were recovered from symptomatic stems showing characteristic pith necrosis.
Based on colony morphology and fluorescence on King’s B medium, all these 16 isolates formed smooth, circular, creamy-white to light-yellow colonies and were initially suspected and later confirmed to belong to the genus Pseudomonas. Subsequent physiological, biochemical, and molecular characterization confirmed this preliminary identification (see below and Table 2, Figs. 3 and 4). All 16 isolates were first physiologically and biochemically characterized and compared with reference strains P. mediterranea (CFBP5447T) and P. viridiflava (PV273 and CFBP2107T) (Table 2). All isolates were Gram-negative and catalase-positive. Twelve isolates (Ps_SA_1.1 to Ps_SA_1.4, and Ps_SA_8.1 to Ps_SA_8.8) showed consistent oxidase positivity and gelatine hydrolysis, but lacked fluorescence on King’s B medium and did not produce levan. All 12 isolates exhibited arginine dihydrolase activity, grew at 37 °C, and were non-pectolytic, aligning with the profile of P. mediterranea CFBP5447T (Table 2). In contrast, four isolates (Ps_SA_4.1 to Ps_SA_4.4) displayed a distinctly different phenotype. They were oxidase-negative, hydrolysed gelatine, induced potato rot and lacked arginine dihydrolase activity. This combination of traits matched those of the reference strains of P. viridiflava PV273 and CFBP2107T. The observed phenotypic profiles support their identification as P. viridiflava-like strains.
Pathogenicity test
Tomato plants were inoculated with the 16 Pseudomonas spp. isolates from Saudi Arabia, representing both fluorescent and non-fluorescent groups. Within 15 days, plants inoculated with isolates identified as P. viridiflava developed characteristic symptoms of pith necrosis, including wilting and brown discoloration of the pith tissue, which progressed to plant death at advanced stages of disease. Necrotic lesions on stems extended approximately 1.5 cm above and below the inoculation site (Fig. 2A–C). In contrast, plants inoculated with isolates identified as P. mediterranea showed no wilting, even at 45 days post-inoculation. Longitudinal stem sections revealed only internal browning of the pith extending up to 0.9 cm at 21 days post-inoculation (Fig. 2D). However, healthy stem tissue was observed in tomato plants inoculated with SDW, serving as a negative control (Fig. 2E).
Symptoms of pith necrosis on Solanum lycopersicum cv. Sun Gold following artificial inoculation with Pseudomonas isolates obtained from naturally infected plants. (A) Wilting of leaves and (B) chlorosis of basal foliage. (C) Longitudinal stem section showing internal pith necrosis caused by P. viridiflava isolate SA 4.1; (D) pith browning caused by P. mediterranea isolate SA 8.8; and (E) healthy stem tissue of a control plant, inoculated with sterile distilled water.
Nucleotide polymorphism analysis
Analysis of concatenated sequences of five housekeeping genes (rpoB, rpoD, cts, pfk, and gyrB) revealed significant differences in genetic variation between P. viridiflava and P. mediterranea (Table 3). For P. viridiflava (88 sequences, 3548 bp), 2876 monomorphic and 666 polymorphic sites were identified, including 88 singletons and 578 parsimony-informative sites. The population exhibited high haplotype diversity (Hd = 0.98) and moderate nucleotide diversity (π = 0.022), reflecting substantial sequence variation. Neutrality tests showed a slightly negative Tajima’s D (− 1.61; 0.10 > P > 0.05) and non-significant Fu and Li’s D and F statistics (P > 0.10), suggesting neutral evolution with a possible weak signal of population expansion or purifying selection. In contrast, P. mediterranea (23 sequences, 3546 bp) displayed markedly lower variability, with 3517 monomorphic and only 28 polymorphic sites. Despite high haplotype diversity (Hd = 0.94), nucleotide diversity was low (π = 0.002), indicating overall genomic conservation. The non-significant (P > 0.10) neutrality tests (Tajima’s D = − 0.55; Fu and Li’s D = 0.41; Fu and Li’s F = 0.13) for this species were consistent with a stable population structure and absence of recent selective pressures. These results demonstrated that P. viridiflava populations are genetically more diverse, while P. mediterranea represents a more conserved lineage.
Multilocus sequence typing (MLST) of Pseudomonas mediterranea
MLST analysis of P. mediterranea was conducted using sequences from 23 isolates, comprising 12 Saudi isolates and 11 reference strains obtained from the NCBI database (Table 4). A total of 22 alleles were identified across the five housekeeping genes analysed—rpoB (4 alleles), rpoD (1 allele), cts (3 alleles), pfk (7 alleles), and gyrB (7 alleles). Twelve (12) distinct sequence types (STs) were defined, represented in Table 4. Six sequence types were found exclusively among the Saudi isolates: ST8 (2 isolates), ST9 (3 isolates), ST10 (1 isolate), ST11 (1 isolate), ST12 (3 isolates), and ST13 (2 isolates). Notably, ST9 was the most common among Saudi strains, with three isolates sharing an identical allelic profile.
Multilocus sequence typing (MLST) of Pseudomonas viridiflava
MLST analysis of 120 P. viridiflava isolates (4 Saudi and 116 global) revealed extensive allelic diversity, comprising 31 cts, 46 gyrB, and 54 rpoD alleles, defining 82 distinct STs (Supplementary Table S5). The Saudi isolates (Ps_SA_4.1–Ps_SA_4.4) all belonged to ST60, which displayed a novel allelic profile not reported in current MLST databases, indicating a potentially new lineage. ST60 was closely related to isolates from Switzerland and the USA by sharing cts and gyrB alleles while differing in rpoD, which suggests localized diversification. Globally, isolates from France, Italy, and New Zealand accounted for the majority of STs, consistent with the ecological versatility of P. viridiflava. Several STs (e.g., ST3, ST33, ST35, ST41, ST42, ST75) contained isolates from multiple countries and hosts, indicating widespread distribution and possible clonal expansion.
Phylogenetic analysis of Pseudomonas viridiflava and Pseudomonas mediterranea
MLSA-based phylogenetic analysis of concatenated gene sequences from 194 representative strains revealed distinct and well-supported clades (bootstrap = 100%) for both species (Fig. 3). The Saudi P. viridiflava isolates formed a monophyletic clade with strains from the USA, France, and New Zealand, closely related to isolates Pv98_04 (USA) and P12_DOA (New Zealand), but distinct from isolates from Chile, Turkey, and Switzerland. Similarly, Saudi P. mediterranea isolates clustered tightly with reference strains from Italy, Spain, Greece, and the UK, forming four subclusters that reflected intra-regional genetic diversity. The separation of the two species into strongly supported clade highlights their clear genetic distinction and underlying diversity.
Multilocus sequence typing (MLST) phylogenetic tree of Pseudomonas viridiflava and P. mediterranea isolates from Saudi Arabia and reference strains obtained from the NCBI database. The tree was constructed based on a 2472 bp concatenated alignment of five partial housekeeping genes (rpoB, rpoD, cts, pfk, and gyrB) using the Maximum Likelihood method in MEGA version 11.0.13. Saudi isolates are highlighted with green circles. Bootstrap values (≥ 70%) are shown at major nodes to indicate branch support. The tree reveals high sequence diversity among P. viridiflava isolates and the clustering of Saudi isolates as a separate phenon. P. mediterranea is more homogeneous, although the Saudi isolates clustered into multiple distinct sequence types, separate from the reference strains.
Phylogenetic grouping of Pseudomonas viridiflava
A multilocus sequence analysis -based phylogenetic tree was constructed using concatenated gene sequences from 183 P. viridiflava and P. syringae complex globally distributed reference strains, and four newly sequenced isolates from Saudi Arabia. The Maximum Likelihood (ML) analysis revealed significant phylogenetic diversity and delineated 13 well-supported phylogroups (PGs), consistent with previously established clades (Fig. 4). All four Saudi isolates Ps_SA_4.1 to Ps_SA_4.4 clustered within Phylogroup 7a (PG 7a). These isolates formed a distinct monophyletic sub-cluster supported by a 100% bootstrap value, suggesting a shared evolutionary origin and potential local adaptation or recent diversification. PG 7a also included strains from diverse geographical regions such as France, Italy, Turkey, the USA, Switzerland, Chile, and China, reflecting its broad distribution and ecological versatility. The Saudi PG 7a cluster was most closely related to the French strain CFBP9895 and the reference strain CSB0072, indicating possible genetic relatedness between populations from the Middle East and Europe populations. This relationship may reflect historical dispersal events or shared environmental niches. Among the global dataset, PGs 7, 8, and 10 were the most represented, indicating wide distribution and host adaptability. In contrast, PGs 1, 4, 6, 11, 12, and 13 were sparsely represented and separated by long branch lengths, suggesting greater evolutionary divergence. PGs 2, 3, 5, and 9 showed moderate representation, primarily from Europe and New Zealand. Our analysis also showed for the first time that P. viridiflava strains ICMP 3272 and ICMP 11296 both belong to PG 3.
Maximum likelihood phylogenetic tree based on concatenated multilocus sequence data from 183 Pseudomonas viridiflava and P. syringae complex globally distributed reference strains, including four isolates from Saudi Arabia (Ps SA 4.1, Ps SA 4.2, Ps SA 4.3, and Ps SA 4.4, shown in green). Bootstrap values ≥ 50% from 1000 replicates are shown at branch nodes. Thirteen well-supported phylogroups (PGs) are indicated on the right and color-coded for clarity. The Saudi isolates form a distinct, highly supported sub-clade within Phylogroup 7a. The tree is rooted and scaled; the scale bar represents 0.02 nucleotide substitutions per site.
Population structure of Pseudomonas mediterranea based on MLST
A minimum spanning tree (MST) was constructed from concatenated sequences (3545 bp) of the five housekeeping genes to evaluate the (within-species) genetic diversity among P. mediterranea isolates and reference strains (Fig. 5). The analysis included six Saudi isolates (sequence types ST_8 to ST_13) and seven representative global strains (ST_1 to ST_7), revealing a distinct separation between Saudi and global sequence types. The Saudi STs formed a unique cluster, with allelic distances ranging from 3 to more than 40 nucleotide differences, indicating the presence of both closely related and highly divergent relationships among STs. Notably, ST_11 and ST_13 shared the shortest allelic distance (3), suggesting a recent common ancestry, while ST_8 showed the greatest divergence from global types. The robustness of clustering was supported by bootstrap analysis (1000 replicates), with key branches showing support values exceeding 85%, affirming the distinctiveness of Saudi strains. Corresponding sequence type assignments and metadata are detailed in Table 4.
Minimum spanning tree (MST) of Pseudomonas mediterranea sequence types (STs) based on concatenated sequences (3545 bp) of five housekeeping genes: rpoB, rpoD, cts, pfk, and gyrB. Saudi Arabian isolates (ST_8 to ST_13) are shown in distinct clusters relative to selected global isolates (ST_1 to ST_7). Bold numbers represent absolute allelic differences between sequence types. The size of each node corresponds to the number of isolates sharing the same ST. High-confidence branches (bootstrap ≥ 85%) are indicated by thick connecting lines.
Population structure of Pseudomonas viridiflava based on MLST
Minimum spanning tree (MST) analysis of 120 P. viridiflava isolates, including four strains from Saudi Arabia and 116 global references, revealed a highly diverse (within-species) population structure comprising 82 distinct sequence types (STs) (Fig. 6). Most STs were represented by single isolates, highlighting extensive genetic heterogeneity across the species.
Minimum spanning tree of 120 Pseudomonas viridiflava isolates based on concatenated sequences of three housekeeping genes (cts, gyrB, and rpoD). Each circle represents a unique sequence type (ST), with circle size proportional to the number of isolates. Colors indicate country of origin, and connecting lines represent single-locus or double-locus variants. The four Saudi Arabian isolates grouped within ST60, forming a distinct lineage related to European strains (ST52, ST80).
The Saudi isolates clustered within ST60, forming a unique lineage distinct from major clonal groups. ST60 was closely linked to ST52 (Switzerland) and ST80 (France), suggesting possible evolutionary relationships between Middle East and Europe populations. To our knowledge, ST60 has not been previously described in international MLST databases, supporting its designation as a novel lineage.
Globally, several STs demonstrated clonal expansion. ST75 (USA, France) was the largest clonal group, comprising multiple isolates across continents, while ST63 and ST48 also represented frequent types with international distribution. Other notable STs included ST35, ST66, and ST74, which were shared among isolates from Europe and North America, indicating both regional diversification and long-distance dispersal. Geographic clustering patterns were apparent in several cases: isolates from France and Italy were distributed across multiple STs, whereas isolates from Turkey, Germany, and China were narrowed to fewer lineages. Despite this geographical structuring, no consistent host specialization was observed, with isolates from tomato, kiwifruit, and environmental sources frequently overlapped within the same clonal groups.
MST analysis confirmed P. viridiflava populations are genetically diverse and widely dispersed, with frequent occurrence of unique STs and occasional clonal expansion. The identification of a new Saudi Arabian lineage (ST60) emphasizes the importance of regional sampling for capturing uncharacterized diversity and monitoring pathogen evolution.
Discussion
This study provides the first molecular characterization of P. mediterranea and P. viridiflava strains associated with TPN in the Al Taif region of Saudi Arabia. Sixteen isolates were collected, of which twelve were identified as P. mediterranea and four as P. viridiflava. The predominance of P. mediterranea aligns with earlier reports indicating that it is more frequently isolated than P. corrugata in central and south-western tomato-growing regions36,37. Together with previous records of P. fluorescens and P. corrugata from the region15, these findings confirm the presence of multiple Pseudomonas species associated with TPN, consistent with global patterns (Supplementary Table S1)38. This highlights the importance of strict plant quarantine and biosecurity measures.
Species differentiation can be achieved using MLST of the housekeeping genes employed in this study (Table 2), along with species-specific primers PC5/1-PC5/2 for P. mediterranea and PC1/1-PC1/2 for P. corrugata31. P. viridiflava strains belong to subclades 7 (7a and b based on cts gene sequence analysis) and 8 of the P. syringae complex, and can be detected using primers developed by39. Additional tools include a real-time TaqMan PCR for phylogroup 7 P. viridiflava strains causing kiwifruit blight40 and another PCR assay developed specifically for this species41. These molecular methods collectively demonstrate the genetic complexity pf Pseudomonas populations involved in TPN.
The pathogenicity assays showed clear differences between the two species. P. viridiflava isolates were highly virulent, inducing pith necrosis and wilting, consistent with previous reports describing this species as a necrogenic bacterium39,42. In contrast, P. mediterranea caused only internal vascular and pith browning without wilting. This pattern reconfirms that P. mediterranea may function as an opportunistic pathogen that elicits internal symptoms under certain environmental and/or physiological plant stress43.
Nucleotide polymorphism analysis revealed pronounced differences in genetic diversity between the two species. P. viridiflava exhibited high haplotype and nucleotide diversity, along with a significant negative Tajima’s D, suggesting purifying selection or recent population expansion. These findings agree with several earlier studies reporting P. viridiflava’s evolutionary adaptability and its ability to persist across diverse ecological niches39,44,45,46,47. In contrast, P. mediterranea, showed low nucleotide diversity, consistent with a more conserved genetic structure, yet six new sequence types (ST8–ST13) were identified among Saudi isolates, indicating intra-regional diversification and potential clonal adaptation. Similar clustering patterns have been reported in southern Europe31,43,48.
The identification of novel STs in both species strengthens the evidence for regional diversification in SA. A unique lineage, ST60, was identified as a new P. viridiflava sequence type whose allelic profile was absent from PAEMDB and NCBI, suggesting recent local differentiation comparable to region-specific signatures observed in P. syringae pv. tomato population49. Most European of P. mediterranea isolates, particularly those from France and Italy, clustered within P. syringae phylogroup 7a, consistent with their association with outbreaks in temperate areas39.
Saudi P. viridiflava strains primarily belonged to subclades 7a, 7b, and 8 of the P. syringae complex, reflecting the phylogenetic diversity previously described for this species. In contrast, several South American isolates did not align with known phylogroups, indicating unresolved taxonomic boundaries within the P. syringae complex. Recent genome-based studies emphasized the need for deeper genomic analysis to refine species delimitation and phylogenetic resolution10,50,51.
MLST analysis confirmed that P. viridiflava populations are both highly diverse and widely dispersed, with clonal complexes such as ST75, ST63, and ST35 displaying broad geographic distribution, whereas others remained more localized. Phylogenetic analysis placed the Saudi P. viridiflava isolates within phylogroup 7a, which includes strains from North America, Europe, and New Zealand88, suggesting long-distance dissemination via international seed or plant material movement. Meanwhile, Saudi P. mediterranea isolates grouped with strains from southern Europe, indicating shared evolutionary origins with Mediterranean populations.
The coexistence of P. mediterranea and P. viridiflava in the same production systems has important implications. Mixed infections of different Pseudomonas species can complicate symptom expression and disease diagnosis19,52,53. Some strains have been described as potential biocontrol agents2,54,55, while others cause severe necrosis depending on host interactions and environmental conditions39,42,56,57,58,59. This wide functional variability highlights the ecological complexity of TPN-associated Pseudomonas communities.
The ecological flexibility of P. viridiflava, which can persist as an epiphyte on weeds12,13,58,60 and as a post-harvest pathogen in cold-stored vegetables12,58,60, suggests that non-crop reservoirs may facilitate pathogen persistence and reintroduction. Variability in hrp pathogenicity islands composition and type III secretion system genes, similar to those observed in natural Arabidopsis thaliana populations10,39,61,62,63, may also contribute to differences in virulence and host adaptation. Comparative genomic studies in Pseudomonas species have revealed extensive diversity and modularity in type III effector repertoires, which play central roles in host specificity and pathogenicity49,64,65,66,67. Understanding effector variation in Saudi isolates may therefore provide insight into their pathogenic potential. Furthermore, the coexistence of virulent and weakly pathogenic or commensal P. viridiflava strains suggests potential host-priming or cross-protection effects that merit further study.
Overall, this study demonstrates that P. viridiflava is more virulent and genetically diverse than P. mediterranea, which appears to represent a more conserved yet regionally relevant lineage. The identification of novel sequence types in both species highlights the importance of local surveillance to uncover hidden diversity and understand pathogen evolution. Our findings highlight the roles of both geography and man-made factors, such as seed trade and nursery practices, excessive nitrogen fertilization, and high humidity conditions in greenhouses may shape disease outbreaks and pathogen population’s structure10,48,49,50.
Integrated disease management remains essential, focusing on balanced fertilization, careful substrate use, temperature and humidity control, and strict hygiene practices68,69,70,71. Additional practical recommendations are provided in the PlantWisePlus CABI datasheet for P. corrugata72. Considering the limited efficacy of chemical control options and copper resistance in P. viridiflava56,73, preventive measures, improved diagnostics, and continued monitoring are critical for protecting tomato production in Saudi Arabia and beyond.
Future research should incorporate whole-genome sequencing and expanded pathogenicity tests to better interpret the implications of this diversity and to strengthen surveillance efforts, especially in underrepresented regions where advisory campaigns are underway.
Data availability
The datasets generated and/or analysed during the current study are available in the National Center for Biotechnology Information repository, [https://www.ncbi.nlm.nih.gov], accession number PQ045909-PQ045988.
References
GASTAT (General Authority for Statistics). Agriculture Statistics (2025). https://www.stats.gov.sa/en/statistics-tabs/-/categories/124583?tab=436312&category=124583. Accessed on February 3rd, 2025.
Catara, V. Pseudomonas corrugata: plant pathogen and/or biological resource?. Mol. Plant Pathol. 8, 233–244 (2007).
Kůdela, V., Krejzar, V. & Pánková, I. Pseudomonas corrugata and Pseudomonas marginalis associated with the collapse of tomato plants in rockwool slab hydroponic culture. Plant Prot. Sci. 46, 1–11 (2010).
Scarlett, C. M., Fletcher, J. T., Roberts, P. & Lelliott, R. A. Tomato pith necrosis caused by Pseudomonas corrugata nsp. Ann. Appl. Biol. 88, 105–114 (1978).
Wilkie, J. P. & Dye, D. W. Pseudomonas cichorii causing tomato and celery diseases in New Zealand. NZJAR 17, 123–130 (1974).
Aiello, D. et al. A pith necrosis caused by Xanthomonas perforans on tomato plants. Eur. J. Plant Pathol. 137, 29–41 (2013).
Polizzi, G., Dimartino, M. A., Panebianco, S. & Cirvilleri, G. A new emergence on soilless tomato cultures in Sicily: vascular and pith discolouration caused by Pseudomonas fluorescens and P. putida. J. Plant Pathol. 89, 54–55 (2007).
Garrido-Sanz, D. et al. Genomic and genetic diversity within the Pseudomonas fluorescens complex. PLoS ONE 11(2), e0150183 (2016).
Garrido-Sanz, D., Redondo-Nieto, M., Martin, M. & Rivilla, R. Comparative genomics of the Pseudomonas corrugata subgroup reveals high species diversity and allows the description of Pseudomonas ogarae sp. nov. Microb Genom. 7(6), 000593. https://doi.org/10.1099/mgen.0.000593 (2021).
Berge, O. 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 9(9), e105547 (2014).
Baltrus, D. A., McCann, H. C. & Guttman, D. S. Evolution, genomics and epidemiology of Pseudomonas syringae. Mol. Plant Pathol. 18, 152–168 (2017).
Mariano, R. L. R. & McCarter, S. M. Epiphytic survival of Pseudomonas viridiflava on tomato and selected weed species. Microb. Ecol. 26, 47–58 (1993).
Gitaitis, R. et al. Bacterial streak and bulb rot of sweet onion II: epiphytic survival of Pseudomonas viridiflava in association with multiple weed hosts. Plant Dis. 82, 935–938 (1998).
Samad, A., Antonielli, L., Sessitsch, A., Compant, S. & Trognitz, F. Comparative genome analysis of the vineyard weed endophyte Pseudomonas viridiflava CDRTc14 showing selective herbicidal activity. Sci. Rep. 7(1), 17336. https://doi.org/10.1038/s41598-017-16495-y (2017).
Molan, Y. & Ibrahim, Y. First Report of tomato (Lycopersicon esculentum) pith necrosis caused by Pseudomonas fluorescens and P. corrugata in the Kingdom of Saudi Arabia. Plant Dis. 91(1), 110. https://doi.org/10.1094/PD-91-0110B (2007).
Molan, Y. Y., Ibrahim, Y. E. & Al-Masrahi, A. A. Identification in Saudi Arabia of Pseudomonas corrugata, the tomato pith necrosis pathogen, and assessment of cultivar resistance and seed treatment. J. Plant Pathol. 92(1), 213–218 (2010).
Moura, M. L., Jacques, M. A., Brito, L. M., Mourão, I. M. & Duclos, J. Tomato pith necrosis (tpn) caused by P. corrugata and P. mediterranea: severity of damages and crop loss assessment. Acta Hortic. 695, 365–372. https://doi.org/10.17660/ActaHortic.2005.695.45 (2005).
Saygili, H., Aysan, Y., Sahin, F., Ustun, N. & Mirik, M. Occurrence of pith necrosis caused by Pseudomonas fluorescens on tomato plants in Turkey. Plant Pathol. 53, 803–803. https://doi.org/10.1111/j.1365-3059.2004.01092.x (2004).
Lamichhane, J. R. & Venturi, V. Synergisms between microbial pathogens in plant disease complexes: a growing trend. Front. Plant Sci. 6, 385. https://doi.org/10.3389/fpls.2015.00385 (2015).
Lelliott, R. A. & Stead, D. E. Methods for the diagnosis of bacterial diseases of plants. In Methods in Plant Pathology Vol. 2 (ed. Preece, T. F.) (Blackwell Scientific Publications, Oxford, 1987).
Schaad, N. W., Jones, J. B. & Chun, W. Laboratory Guide for Identification of Plant Pathogenic Bacteria 3rd edn. (APS Press, 2001).
Bull, C. T. & Koike, S. T. Practical benefits of knowing the enemy: modern molecular tools for diagnosing the etiology of bacterial diseases and understanding the taxonomy and diversity of plant-pathogenic bacteria. Annu. Rev. Phytopathol. 53, 157–180. https://doi.org/10.1146/annurev-phyto-080614-120122 (2015).
Tewari, S. & Sharma, S. Molecular techniques for diagnosis of bacterial plant pathogens. In Microbial Diversity in the Genomic Era 1st edn (eds Das, S. & Dash, H. R.) 481–497 (Academic Press, 2019).
Maiden, M. C. et al. Multilocus sequence typing: a portable approach to the identification of clones within populations of pathogenic microorganisms. Proc. Natl. Acad. Sci. 95(6), 3140–3145 (1998).
Sarkar, S. F. & Guttman, D. S. Evolution of the core genome of Pseudomonas syringae, a highly clonal, endemic plant pathogen. Appl. Environ. Microbiol. 70(4), 1999–2012. https://doi.org/10.1128/AEM.70.4.1999-2012.2004 (2004).
Pérez-Losada, M., Cabezas, P., Castro-Nallar, E. & Crandall, K. A. Pathogen typing in the genomics era: MLST and the future of molecular epidemiology. Infect. Genet. Evol. 16, 38–53. https://doi.org/10.1016/j.meegid.2013.01.009 (2013).
Nunney, L., Elfekih, S. & Stouthamer, R. The importance of multilocus sequence typing: cautionary tales from the bacterium Xylella fastidiosa. Phytopathology 102(5), 456–460 (2012).
Okoh, E. B. et al. A multilocus sequence typing scheme for rapid identification of Xanthomonas citri based on whole-genome sequencing data. Phytopathology 114(7), 1480–1489 (2024).
King, E. O., Ward, M. K. & Raney, D. E. Two simple media for the demonstration of pyocyanin and fluorescin. J. Lab. Clin. Med. 44(2), 301–307 (1954).
Lelliott, R. A., Billing, E. & Hayward, A. C. A determinative scheme for the fluorescent plant pathogenic pseudomonads. J. Appl. Bacteriol. 29, 470–489 (1966).
Catara, V. et al. Pseudomonas mediterranea sp. nov, a novel pathogen of tomato and pepper plants. Int. J. Syst. Evol. Microbiol. 52(6), 2047–2051 (2002).
Llop, P., Caruso, P., Cubero, J., Morente, C. & López, M. M. A simple extraction procedure for efficient routine detection of pathogenic bacteria in plant material by polymerase chain reaction. J. Microbiol. Methods 37(1), 23–31 (1999).
Hall, T. A. BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp. Ser. 41, 95–98 (1999).
Rozas, J. et al. DnaSP 6: DNA sequence polymorphism analysis of large data sets. Mol. Biol. Evol. 34(12), 3299–3302. https://doi.org/10.1093/molbev/msx248 (2017).
Tayeb, L. A., Ageron, A., Grimont, F. & Grimont, P. A. D. Molecular phylogeny of the genus Pseudomonas based on rpoB sequences and application for the identification of isolates. Res. Microbiol. 156, 763–773 (2005).
Silvera-Pérez, E. et al. Pseudomonas spp. associated with tomato pith necrosis in the Salto area, Northwest Uruguay. Eur. J. Plant Pathol. 165(4), 715–724 (2023).
Cores, S. & Scarzella, A. Identificación del agente causal del tallo hueco en tomate en Uruguay. Tesis de grado. Universidad de la República (Uruguay). Facultad de Agronomía. https://www.colibri.udelar.edu.uy/jspui/bitstream/20.500.12008/19662/1/TTS_CoresRodr%c3%adguezSantiago_ScarzellaAriel.pdf (2016).
Aremu, B. R. & Babalola, O. O. Classification and taxonomy of vegetable macergens. Front. Microbiol. 6, 1361. https://doi.org/10.3389/fmicb.2015.01361 (2015).
Bartoli, C. et al. The Pseudomonas viridiflava phylogroups in the P. syringae species complex are characterized by genetic variability and phenotypic plasticity of pathogenicity-related traits. Environ. Microbiol. 16, 2301–2315. https://doi.org/10.1111/1462-2920.12433 (2014).
Campigli, S. et al. TaqMan qPCR assays improve Pseudomonas syringae pv. actinidiae biovar 3 and P. viridiflava (PG07) detection within the Pseudomonas sp. community of kiwifruit. Phytopathol. Mediterr. 62(1), 95–114. https://doi.org/10.36253/phyto-14400 (2023).
Alimi, M. et al. First detection of Pseudomonas viridiflava, the causal agent of blossom blight in apple by using specific designed primers. Afr. J. Microbiol. Res. 5, 4708–4713 (2020).
Aysan, Y., Yildiz, N. & Yucel, F. Identification of Pseudomonas viridiflava on tomato by traditional methods and enzyme-linked immunosorbent assay. Phytoparasitica 32(146–153), 2004. https://doi.org/10.1007/BF02979780 (2004).
Trantas, E. A. et al. Diversity among Pseudomonas corrugata and Pseudomonas mediterranea isolated from tomato and pepper showing symptoms of pith necrosis in Greece. Plant Pathol. 64(2), 307–318 (2015).
Lipps, S. M. & Samac, D. A. Pseudomonas viridiflava: an internal outsider of the Pseudomonas syringae species complex. Mol. Plant Pathol. 23(1), 3–15 (2022).
Sarris, P. F., Trantas, E. A., Mpalantinaki, E., Ververidis, F. & Goumas, D. E. Pseudomonas viridiflava, a multi host plant pathogen with significant genetic variation at the molecular level. PLoS ONE 7(4), e36090. https://doi.org/10.1371/journal.pone.0036090 (2012).
Monteiro, F. P., Ogoshi, C., Cardoso, D. A. & Perazolli, V. Pith necrosis of tomato caused by Pseudomonas viridiflava may not decrease production. Asian J. Agric. Hortic. Res. 4(4), 1–6. https://doi.org/10.9734/AJAHR/2019/v4i430030 (2019).
Gomila, M., Busquets, A., Mulet, M., García-Valdés, E. & Lalucat, J. Clarification of taxonomic status within the Pseudomonas syringae species group based on a phylogenomic analysis. Front Microbiol. 8, 2422. https://doi.org/10.3389/fmicb.2017.02422 (2017).
Catara, V. et al. Phenotypic and genomic evidence for the revision of Pseudomonas corrugata and proposal of Pseudomonas mediterranea sp. nov. Int J Syst Evol Microbiol. 52, 1749–1758. https://doi.org/10.1099/00207713-52-5-1749 (2002).
Almeida, N. F. et al. A draft genome sequence of Pseudomonas syringae pv. tomato T1 reveals a type III effector repertoire significantly divergent from that of Pseudomonas syringae pv. tomato DC3000. MPMI 22(1), 52–62 (2009).
Dillon, M. M. et al. Recombination of ecologically and evolutionarily significant loci maintains genetic cohesion in the Pseudomonas syringae species complex. Genome Biol. 20(1), 3. https://doi.org/10.1186/s13059-018-1606-y (2019).
Mulet, M. et al. Genome-based taxonomy of species in the Pseudomonas syringae and Pseudomonas lutea phylogenetic groups and proposal of Pseudomonas maioricensis sp. nov., isolated from agricultural soil. Microorganisms 12, 460. https://doi.org/10.3390/microorganisms12030460 (2024).
Macho, A. P., Zumaquero, A., Ortiz-Martín, I. & Beuzón, C. R. Competitive index in mixed infections: a sensitive and accurate assay for the genetic analysis of Pseudomonas syringae-plant interactions. Mol. Plant Pathol. 8(4), 437–450. https://doi.org/10.1111/j.1364-3703.2007.00404.x (2007).
Sadhukhan, S., Jacques, M. A. & Potnis, N. Influence of co-occurring weakly pathogenic bacterial species on bacterial spot disease dynamics on tomato. Plant Dis. 108(1), 190–199. https://doi.org/10.1094/PDIS-05-23-0837-RE (2024).
Gu, Y., Wang, J., Xia, Z. & Wei, H.-L. Characterization of a versatile plant growth promoting rhizobacterium Pseudomonas mediterranea strain S58. Microorganisms 8, 334. https://doi.org/10.3390/microorganisms8030334 (2020).
Dimaria, G. et al. Biocontrol efficacy of Pseudomonas mediterranea PVCT 3C against Plenodomus tracheiphilus: in vitro and in planta mechanisms at early disease stages. Microbiol. Res. 287, 127833. https://doi.org/10.1016/j.micres.2024.127833 (2024).
Gitaitis, R. D. et al. Bacterial blight of sweet onion caused by Pseudomonas viridiflava in Vidalia, Georgia. Plant Dis. 75, 1180–1182 (1991).
Janse, J. D., Derks, H. J., Spit, B. E. & van der Tuin, W. R. Classification of fluorescent soft rot Pseudomonas bacteria, including P. marginalis strains, using whole cell fatty acid analysis. Syst. Appl. Microbiol 15, 538–553 (1992).
Fernández-Sanz, A. M., Rodicio, M. R. & González, A. J. Biochemical diversity, pathogenicity and phylogenetic analysis of Pseudomonas viridiflava from bean and weeds in northern Spain. Microorganisms 10, 1542 (2022).
Cariddi, C. et al. Occurrence of atypical Pseudomonas viridiflava strains on different host plants in southern Italy. Plant Pathol. 74(2), 443–454. https://doi.org/10.1111/ppa.14030 (2025).
Godfrey, S. A. C. & Marshall, J. W. Identification of cold-tolerant Pseudomonas viridiflava and P. marginalis causing severe carrot postharvest bacterial soft rot during refrigerated export from New Zealand. Plant Pathol. 51, 155–162. https://doi.org/10.1046/j.1365-3059.2002.00679.x (2002).
Jakob, K. et al. Pseudomonas viridiflava and P. syringae-natural pathogens of Arabidopsis thaliana. MPMI 15(12), 1195–1203. https://doi.org/10.1094/MPMI.2002.15.12.1195 (2002).
Goss, E. M., Kreitman, M. & Bergelson, J. Genetic diversity, recombination and cryptic clades in Pseudomonas viridiflava infecting natural populations of Arabidopsis thaliana. Genetics 169(1), 21–35. https://doi.org/10.1534/genetics.104.031351 (2005).
Araki, H. et al. Presence/absence polymorphism for alternative pathogenicity islands in Pseudomonas viridiflava, a pathogen of Arabidopsis. Proc. Natl. Acad. Sci. USA 103(15), 5887–5892. https://doi.org/10.1073/pnas.0601431103 (2006).
Lindeberg, M. et al. Pseudomonas syringae type III effector repertoires: last words in endless arguments. Trends Microbiol. 20(4), 199–208 (2012).
Baltrus, D. A. et al. Dynamic evolution of pathogenicity revealed by sequencing and comparative genomics of 19 Pseudomonas syringae strains. PLoS Pathog. 7(7), e1002132 (2011).
Xin, X. F. & He, S. Y. Pseudomonas syringae: what it takes to be a pathogen. Nat. Rev. Microbiol. 11(11), 836–848 (2013).
Bartoli, C. et al. The Pseudomonas syringae phylogenetic complex: diversity and evolution of effector repertoires. Mol. Plant Pathol. 16(9), 1071–1085 (2015).
Janse, J. D. Phytobacteriology, Principles and Practice 248–249 (CABI Publishing/Oxford Press, Oxford, 2006).
Al-Karablieh, N., Mutlak, I. & Al-Dokh, A. Isolation and identification of Pseudomonas viridiflava, the causal agent of fruit rotting of Cucumis sativus. J. Agric. Sci. 13, 79–91 (2017).
Al-Karablieh, N., Al-Dokh, A., Mutlak, I. & Abdulhadi, Z. In vitro biological control of Pseudomonas viridiflava by Pseudomonas fluorescens via siderophore competition. J. Agric. Sci. 13, 629–644 (2017).
Al-Karablieh, N., Al-Shomali, I., Al-Elaumi, L. & Hasan, K. Pseudomonas fluorescens NK4 siderophore promotes plant growth and biocontrol in cucumber. J. Appl. Microbiol. 133, 1414–1421. https://doi.org/10.1111/jam.15645 (2022).
CABI. Pseudomonas corrugata (pith necrosis of tomato), PlantWisePlus Knowledge Bank, species datasheet 44945, CABI. Accessed, https://doi.org/10.1079/pwkb.species.44945cv
Alippi, A. M. et al. Pseudomonas populations causing pith necrosis of tomato and pepper in Argentina are highly diverse. Plant Pathol. 52, 287–302 (2003).
Funding
This research was funded by the National Plan for Science, Technology, and Innovation (MAARIFAH), King Abdul-Aziz City for Science and Technology, Kingdom of Saudi Arabia, Grant No. 2-17-04-001-0029.
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Yasser E. Ibrahim, Arya Widyawan, Ali A. Al Masrahi, Abdullah F. Al Hashel, and Mohammed A. Al Saleh. The first draft of the manuscript was written by Yasser E. Ibrahim and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Ibrahim, Y.E., Widyawan, A., Al Masrahi, A.A. et al. Characterization of Pseudomonas mediterranea and Pseudomonas viridiflava strains associated with tomato pith necrosis in the Al Taif region, Saudi Arabia. Sci Rep 16, 3524 (2026). https://doi.org/10.1038/s41598-025-33480-y
Received:
Accepted:
Published:
Version of record:
DOI: https://doi.org/10.1038/s41598-025-33480-y








