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Protection ofArabidopsis thaliana against Leaf-PathogenicPseudomonas syringae bySphingomonas Strains in a Controlled Model System

Gerd Innerebner1,Claudia Knief1,Julia A Vorholt1,*
1Institute of Microbiology, ETH Zurich, Wolfgang-Pauli-Strasse 10, 8093 Zurich, Switzerland
*

Corresponding author. Mailing address: Institute of Microbiology, ETH Zurich, Wolfgang-Pauli-Strasse 10, 8093 Zurich, Switzerland. Phone: 41 44 6325524. Fax: 41 44 6331307. E-mail:vorholt@micro.biol.ethz.ch.

Received 2011 Jan 20; Accepted 2011 Mar 9.

Copyright © 2011, American Society for Microbiology
PMCID: PMC3126462  PMID:21421777

Abstract

Diverse bacterial taxa live in association with plants without causing deleterious effects. Previous analyses of phyllosphere communities revealed the predominance of few bacterial genera on healthy dicotyl plants, provoking the question of whether these commensals play a particular role in plant protection. Here, we tested two of them,Methylobacterium andSphingomonas, with respect to their ability to diminish disease symptom formation and the proliferation of the foliar plant pathogenPseudomonas syringae pv. tomato DC3000 onArabidopsis thaliana. Plants were grown under gnotobiotic conditions in the absence or presence of the potential antagonists and then challenged with the pathogen. No effect ofMethylobacterium strains on disease development was observed. However, members of the genusSphingomonas showed a striking plant-protective effect by suppressing disease symptoms and diminishing pathogen growth. A survey of differentSphingomonas strains revealed that most plant isolates protectedA. thaliana plants from developing severe disease symptoms. This was not true forSphingomonas strains isolated from air, dust, or water, even when they reached cell densities in the phyllosphere comparable to those of the plant isolates. This suggests that plant protection is common among plant-colonizingSphingomonas spp. but is not a general trait conserved within the genusSphingomonas. The carbon source profiling of representative isolates revealed differences between protecting and nonprotecting strains, suggesting that substrate competition plays a role in plant protection bySphingomonas. However, other mechanisms cannot be excluded at this time. In conclusion, the ability to protect plants as shown here in a model system may be an unexplored, common trait of indigenousSphingomonas spp. and may be of relevance under natural conditions.

INTRODUCTION

The phyllosphere encompasses the aboveground parts of plants that represent a habitat for microorganisms. Globally, the microbiota on plant leaf surfaces is estimated to count 1026 bacterial cells (35). Some of these bacteria can cause disease, while most of them live as commensal bacteria together with their host plants. Currently, it is largely unknown to what extent plants benefit from their commensal microbiota on leaves.

A recent study from our laboratory, which was based on the metaproteogenomic analysis of microbial communities from naturally grownArabidopsis thaliana and agriculturally grown clover and soybean plants, revealed thatMethylobacterium andSphingomonas spp. are abundant in the phyllosphere of these plants (9). Methylobacteria, often called pink-pigmented facultative methylotrophs (PPFM), are known as ubiquitous plant colonizers based on cultivation-dependent (8,15,27) and cultivation-independent methods (28). Similarly, several papers report the presence ofSphingomonas spp. on plant surfaces (10,11,18,25). Different beneficial effects of these bacterial taxa on plants have been described in the literature. It was shown, for example, that indigenousMethylobacterium strains exhibit a growth-promoting effect on agriculturally important crops, which is assumed to be based on plant hormone production (1,17,19,29,33,37). Likewise, studies report onSphingomonas spp. as producers of plant growth-stimulating factors (2,10,46).

Another way in which plants could benefit from their commensal bacteria is by protection against invading pathogens. In the past, several efforts to find natural agents for the control of foliar plant pathogens have been made (20). Strains with biocontrol activity were searched either by screening epiphytic strain collections or by generating effective near-isogenic mutant strains. Applying such strategies resulted, for instance, in the identification of antagonisticPseudomonas (7,34,42,48,52) andErwinia strains (23).

The goal of this study was to address the question of whether members of the bacterial generaMethylobacterium andSphingomonas can act as gate keepers to protect plants against bacterial pathogens. To this end, a gnotobioticin planta assay was applied withA. thaliana as the model plant andP. syringae as the model pathogen.P. syringae exhibits an epiphytic phase on leaf surfaces before switching to a predominantly endophytic lifestyle and multiplying to high cell numbers in the leaf interior (3,16).

MATERIALS AND METHODS

Bacterial strains.

Isolates and type strains used in this study are listed inTable 1. In the time course experiments, mixtures of fiveMethylobacterium and fiveSphingomonas strains were used to inoculate plants. These strains reflect part of the phylogenetic diversity within the respective genus and were isolated previously from the phyllosphere of different plants. As an exception, the two genome-sequenced type strainsSphingomonas wittichii andSphingopyxis alaskensis were included in theSphingomonas inoculation mixture. Because the classification and nomenclature of the sphingomonads still is under debate (55), here the termSphingomonas is used in sensu lato also for the generaSphingopyxis,Sphingobium, andNovosphingobium. In the screening experiment, additionalSphingomonas strains were included. These were previously isolated from plant surfaces (phyllosphere and rhizosphere), or their 16S rRNA genes show an identity of more than 97% to the majority (75%) of the clone sequences recovered from leaf-colonizing sphingomonads described in Delmotte et al. (9). Type strains were obtained from the DSMZ culture collection in Braunschweig, Germany, and the CIP culture collection of the Institute Pasteur in Paris, France.Pseudomonas syringae pv. tomato DC3000 andXanthomonas campestris pv. campestris LMG 568 were kindly provided by Thomas Kroj (UMR BGPI, Montpellier, France) and Emmanuelle Lauber (LIPM, Castanet-Tolosan, France), respectively.

Table 1.

Bacterial strains used in this study to inoculate and infectArabidopsis thaliana plants

StraindIsolation sourceReference or source
Phyllosphere isolates
    Methylobacterium extorquens PA1a*A. thaliana leaf27
    Methylobacterium sp. 32aA. thaliana leaf27
    Methylobacterium sp. 88aA. thaliana leaf27
    Methylobacterium sp. 116aBryophyte leaf27
    Methylobacterium sp. 280aA. thaliana leaf27
    Sphingomonas sp. Fr1bA. thaliana fruitThis studyc
    Sphingomonas sp. C3bTobacco leafThis studyc
    Sphingomonas sp. 5.2bA. thaliana seedThis studyc
    Sphingomonas sp. Ang-S-26Rice stemThis studyc
    Sphingomonas phyllosphaerae (DSM 17258T)Acacia caven40
    Sphingomonas roseiflava (CIP 106847T)Setaria viridis fruit58
    Sphingomonas melonis (DSM 14444T)Melon fruit5
Rhizosphere isolates
    Sphingomonas azotifigens (DSM 18530T)Rice roots54
    Sphingobium rhizovicinum (DSM 19845T)Fortunella hindsii57
    Sphingomonas asaccharolytica (DSM 10564T)Apple tree roots44
    Sphingomonas mali (DSM 10565T)Apple tree roots44
    Sphingomonas pruni (DSM 10566T)Peach tree roots44
    Novosphingobium rosa (DSM 7285T)Rose roots44
Air- and waterborne isolates
    Sphingomonas aerolata (DSM 14746T)Indoor air6
    Sphingomonas faeni (DSM 14747T)Indoor dusts6
    Sphingomonas aurantiaca (DSM 14748T)Indoor dusts6
    Sphingopyxis alaskensis (DSM 13593T)b*Atlantic Ocean13
    Sphingomonas wittichii (DSM 6014T)b*Elbe river56
Plant pathogens
    Pseudomonas syringae pv. tomato DC3000*TomatoD. Cuppels
    Xanthomonas campestris pv. campestris LMG 568*Brassica oleraceaE. Billing
a

Methylobacterium strains of the mixture used to inoculateA. thaliana plants (Fig. 1).

b

Sphingomonas in sensu lato strains (see Materials and Methods) of the mixture used to inoculateA. thaliana plants (Fig. 2).

c

Partial 16S rRNA gene sequences have been deposited in the GenBank/EMBL/DDBJ databases under accession numbersFR696367 toFR696370.

d

*, genome-sequenced strains.

Growth conditions ofArabidopsis thaliana plants.

A. thaliana Col-0 plants were cultivated on standard MS nutrient medium (36) including vitamins (Duchefa, Haarlem, Netherlands) and supplemented with plant agar (Duchefa, Haarlem, Netherlands) and 3% sucrose. The autoclaved medium was poured into full-gas microboxes (Combiness, Nazareth, Belgium), and a sterile Biofoil 25 (IVSS, Göttingen, Germany) with eight holes (diameter, 4 mm) was placed on the solidified agar surface to avoid the contact of growing plant leaves with the medium.A. thaliana seeds were surface sterilized by treating them with 70% ethanol for 2 min and then sodium hypochlorite solution (7% available chlorine) containing 0.2% Triton X-100 for 8 min. Seeds were washed seven times with sterile double-distilled H2O and placed on the agar surface at the positions of the eight preformed holes. Plants were grown for 1 week under long-day conditions (16-h photoperiod) followed by short-day conditions (9-h photoperiod) in a standard growth chamber at a constant temperature of 22°C. Upon plant infection with the pathogen, 30 small holes (diameter, 1.2 mm) were pierced into the microbox plastic walls to reduce relative humidity to 80%.

Inoculation and infection of plants.

Methylobacterium strains were grown in liquid mineral salt medium (38) with 0.5% succinate as the carbon source.Sphingomonas strains were cultivated in nutrient broth without additional NaCl (NB). All cultures were incubated at 28°C and grown until early stationary phase. Just before inoculation, cells were washed once and resuspended in 10 mM MgCl2 solution, the optical density at 600 nm (OD600) was adjusted, and bacterial suspensions were added to the plants using seed or leaf inoculation as follows: for seed inoculation, 5 μl of cell suspension (OD600 = 0.5) was pipetted onto each seed at the time of sowing; for leaf inoculation, 5 to 10 μl (depending on plant size and leaf number) of cell suspension (OD600 = 0.02) was pipetted onto the leaves when plants were 2 weeks old (i.e., 1 week beforeP. syringae pv. tomato DC3000 infection). The cell density ofSphingomonas in the leaf inoculation suspension was adjusted to correspond roughly to the bacterial carrying capacity of seed-inoculatedA. thaliana plants of the same age. Axenic plants were mock treated by applying sterile 10 mM MgCl2 solution to plant seeds or leaves. The plant pathogenP. syringae pv. tomato DC3000 was cultivated on King's B (26) agar plates at 28°C. Three-week-old plants were infected by spraying ca. 100 μl of infection suspension (or 10 mM MgCl2 when mock treated) per box over the eight plants. The infection suspension was prepared from freshly grownP. syringae pv. tomato DC3000 cultures as described previously (45) but without Silwet L-77, and the OD600 was adjusted to 0.0001, corresponding to approximately 5 × 104 cells per ml. Plants were kept in darkness until infection.

In an additional experiment,X. campestris pv. campestris LMG 568 was used as a pathogen to infectA. thaliana plants.X. campestris pv. campestris LMG 568 cultures were grown on NB agar plates, and the infection suspension was prepared as described above. In this paper, the term inoculation refers to the application of commensal bacteria, i.e.,Methylobacterium andSphingomonas, and the term infection applies to the application of pathogenic bacteria, i.e.,Pseudomonas andXanthomonas.

Enumeration of phyllosphere bacteria.

At different time points postinfection (and the day of infection), commensal and pathogen cell numbers in the phyllosphere were determined on randomly selected plants (out of replicate microboxes). For this purpose, plants were taken out of the microboxes, the roots carefully removed, and the remaining aboveground plant parts placed individually into 2-ml tubes containing 1.3 ml of 100 mM phosphate buffer (pH 7) with 0.2% Silwet L-77 (GE Bayer Silicones, Leverkusen, Germany), a protocol that results in the recovery of bacteria from leaf surfaces and the apoplast, and this is as efficient as grinding the leaf tissue (45). The fresh weight of each plant was recorded. To dislodge bacterial cells from plant material, the tubes were shaken horizontally in a Retsch tissue lyser (Retsch, Haan, Germany) for 15 min at 25 Hz (plants were not destroyed) and sonicated in a water bath for 5 min. Tenfold serial dilutions were spotted onto selective agar plates, and CFU were counted after the incubation of the plates at 28°C. To select forMethylobacterium, mineral salt medium with 0.5% methanol as the carbon source was used; to select forSphingomonas, NB medium supplemented with streptomycin (20 μg/ml) was used. Pathogen CFU were counted on plates with rifampin (50 μg/ml) added to the respective medium. In the few cases early after infection where the number of CFU was lower than the detection limit of the method, values just below the detection limit were included to calculate the mean. In this way,P. syringae pv. tomato DC3000 cell numbers may have been slightly overestimated, but they represent a better estimate than if these values were omitted. The program Prism 5 (GraphPad Software, La Jolla, CA) was used to check for significantly different pathogen cell numbers on axenic and inoculated plants. The values were log transformed, and an unpairedt test was performed for each time point independently.

Plant disease severity index.

Disease phenotypes ofA. thaliana plants were scored according to their visual appearance at 21 days postinfection (dpi). Disease levels were rated from 1 (completely healthy plants) to 5 (dead plants) as described in Whalen et al. (50). When the average disease index was below 2.5, the testedSphingomonas strain was considered fully protective (+), between 2.5 and 3.5 was intermediately protective (±), and above 3.5 was not effective (−) againstP. syringae pv. tomato DC3000. In addition, the automated ground cover tool implemented in the image analysis software Assess 2.0 of the American Phytopathological Society (St. Paul, MN) was used to quantify plant disease.

Carbon utilization profiles.

GN2 MicroPlates (Biolog, Hayward, CA) were used to compare the substrate utilization patterns of representative methylobacteria, sphingomonads, andP. syringae pv. tomato DC3000. Plates were inoculated according the manufacturer's instructions with slight modifications:Methylobacterium cells were precultured at 28°C on Difco R2A agar plates (BD, Sparks, MD) with an additional 0.5% methanol and resuspended in the provided inoculating fluid to result in an OD600 of 0.35.Sphingomonas strains andP. syringae pv. tomato DC3000 were grown at 28°C in liquid NB, washed twice, and resuspended in the inoculating fluid (OD600 of 0.2). Aliquots of the bacterial suspensions were pipetted into each well, and plates were sealed with parafilm and incubated at 28°C on a rotary shaker moving at 80 rpm. The OD600 was measured every 2 to 3 days with a Victor3 plate reader (Perkin Elmer, Waltham), and final values were recorded after 7 days. They were blank corrected and normalized by dividing each value by the highest measured absorption value per plate, resulting in final values between 0 and 1. The utilization of a carbon compound was considered positive at a value of ≥0.4, weakly positive from 0.4 to 0.2, and negative at <0.2. The nutritional similarity of the commensal bacteria and the pathogen was estimated by calculating the niche overlap index (NOI) as described by Ji and Wilson (22). Substrates for which a positive or weakly positive signal was obtained were included in the calculation.

Nucleotide sequence accession numbers.

Partial 16S rRNA gene sequences ofSphingomonas strains isolated in this study have been deposited in the GenBank/EMBL/DDBJ databases under accession numbersFR696367 toFR696370.

RESULTS

Development of a gnotobioticin planta assay.

To study the antagonistic effects of common phyllosphere colonizers against plant-pathogenic bacteria, the tested strains were analyzed under gnotobiotic conditions, i.e., on plants that do not harbor other common colonizers that may mask antagonistic effects. To prevent undesired colonization, the model plantA. thaliana was cultivated in microboxes. A special feature of these microboxes is a filter that allows gas exchange, holds back moisture, and keeps the plants free of airborne microbial contaminants. This allowed the cultivation of axenic plants as well as plants with a defined bacterial community. Several growth regimens, infection methods, and pathogen titers were tested to find a procedure that gives reproducible results under conditions that mimic natural conditions as much as possible. In place of dipping or infiltration, a more moderate infection procedure was applied, which consisted of spraying a relatively small number of cells (ca. 10 to 20 per plant) onto the leaf surface ofA. thaliana plants.

Disease symptom development and pathogen proliferation in absence and presence of commensal bacteria.

The potential plant-protective effects of methylobacteria and sphingomonads were investigated separately. To reflect the situation that plants are naturally colonized by several different strains of these genera, a mixture of fiveMethylobacterium isolates and fiveSphingomonas isolates, respectively, was used for the inoculation ofA. thaliana seeds in time course experiments. The presence of commensal bacteria alone did not affect the growth and development ofA. thaliana plants: compared to axenic plants grown under the same conditions, no difference was evident with respect to visual appearance (Fig. 1 and2, 0 dpi) or plant fresh weight (data not shown). When plants were 3 weeks old, they were infected withP. syringae pv. tomato DC3000. Appearance and bacterial cell numbers were monitored over time. Phenotypic differences between axenic plants and plants seed inoculated withMethylobacterium spp. were not observed after infection withP. syringae pv. tomato DC3000: severe disease symptoms were visible after 22 days for both treatments (Fig. 1A). With the exception of results at 1 dpi, pathogen population size was not significantly different between axenic andMethylobacterium preinoculated plants (P < 0.05) (Fig. 1B). On the contrary,Sphingomonas spp. revealed a conspicuous plant-protective effect when seed-inoculated plants were challenged withP. syringae pv. tomato DC3000: plants appeared to be very similar to the noninfected mock-treated control plants (Fig. 2A). Consistently with the healthy plant phenotype, the multiplication ofP. syringae pv. tomato DC3000 onSphingomonas preinoculated plants was significantly reduced compared to that of axenic plants (P < 0.001). The differences in CFU ranged from 340-fold at 1 dpi to 10-fold at 26 dpi (Fig. 2B). The average population sizes of methylobacteria and sphingomonads were in the range of 108 to 109 CFU/g leaf fresh weight. Also after the application ofP. syringae pv. tomato DC3000, cell numbers remained stable throughout the monitoring period (see Fig. S1 in the supplemental material).

Fig. 1.

Fig. 1.

(A) Time course of axenic andMethylobacterium-inoculatedA. thaliana plants. A mixture of fiveMethylobacterium strains (Table 1) was applied by seed inoculation. Nineteen-day-old plants were mock treated or infected by spraying the plant pathogenP. syringae pv. tomato DC3000 (Pst) onto their leaves and imaged at different days postinfection (dpi). (B) Population dynamics ofP. syringae pv. tomato DC3000 in the phyllosphere. Each data point represents the log-transformed mean of 12 plant individuals (CFU per gram of leaf fresh weight). Error bars indicate the standard errors of the means (SEM). Comparable results were obtained when the experiment was repeated independently.

Fig. 2.

Fig. 2.

(A) Time course of axenic andSphingomonas-inoculatedA. thaliana plants. A mixture of fiveSphingomonas strains (Table 1) was applied by seed inoculation. Twenty-one-day-old plants were mock treated or infected by spraying the plant pathogenP. syringae pv. tomato DC3000 (Pst) onto their leaves and imaged at different days postinfection (dpi). (B) Population dynamics ofP. syringae pv. tomato DC3000 in the phyllosphere. Each data point represents the log-transformed mean of 12 plant individuals (CFU per gram of leaf fresh weight). Error bars indicate the standard errors of the means (SEM). Comparable results were obtained when the experiment was repeated independently.

In a second step, plants were analyzed that were leaf inoculated withSphingomonas spp. 1 week beforeP. syringae pv. tomato DC3000 infection. When we applied this preinoculation scheme, again a pronounced plant-protective effect ofSphingomonas spp. was observed in terms of disease suppression and reduced pathogen population size (Fig. 3). We also tested whetherSphingomonas spp. had the capability to suppress disease caused by another bacterial pathogen known to occur in the phyllosphere:Xanthomonas campestris. Preinoculation withSphingomonas spp. reduced efficientlyX. campestris pv. campestris LMG 568 population size (50-fold at 32 dpi;P < 0.001) and kept plants free of disease symptoms (Fig. 4).

Fig. 3.

Fig. 3.

Snapshot of axenic andSphingomonas-inoculatedA. thaliana plants at 19 days postinfection (dpi). A mixture of fiveSphingomonas strains was applied by leaf inoculation 1 week before infection withP. syringae pv. tomato DC3000 (Pst). The plot shows the pathogen population of individual plants at 19 dpi (log-transformed CFU per gram of leaf fresh weight). Means and statistically significant differences are indicated (***,P < 0.001).

Fig. 4.

Fig. 4.

Snapshot of axenic andSphingomonas-inoculatedA. thaliana plants at 32 days postinfection (dpi). Plants were seed inoculated with a mixture of fiveSphingomonas strains and infected withX. campestris pv. campestris (Xcc). The plot shows the pathogen population of individual plants at 32 dpi (log-transformed CFU per gram of leaf fresh weight). Means and statistically significant differences are indicated (***,P < 0.001).

Screening of individualSphingomonas isolates.

To investigate whether the observed plant-protective effect is a wide-spread feature within the genusSphingomonas in sensu lato (55), isolates from various environments, including phyllosphere, rhizosphere, air, dust, and water, were tested individually onA. thaliana plants (Table 1; for phylogenetic placement based on 16S rRNA gene sequence analysis, see Fig. S2 in the supplemental material). Moreover, the fiveSphingomonas isolates that were used in the mixture of the time course experiment were included. The cell numbers of bothSphingomonas andP. syringae pv. tomato DC3000 were determined at 21 dpi (Fig. 5). For theSphingomonas spp., population sizes ranged between 107 and 1010 CFU/g leaf fresh weight;S. alaskensis, an isolate from the Atlantic Ocean, reached a population density as low as 104 CFU/g leaf fresh weight.P. syringae pv. tomato DC3000 cell numbers were in the range of 105 to 1010 CFU/g leaf fresh weight depending on theSphingomonas strain used for inoculation. The disease severity index as described by Whalen et al. (50) was determined to score the 18 testedSphingomonas isolates according to their plant-protective effect (Fig. 5). The isolates were grouped into fully protective, intermediately protective, and nonprotective phenotypes. To confirm the results of the disease severity analysis, a software-based tool for disease quantification was used. A high positive correlation was found between the data derived from the two different methods (R = 0.95,P < 0.001). To evaluate correlations between the three parameters commensal population size, pathogen cell number, and plant disease index, a regression analysis was performed. TheSphingomonas cell numbers correlated with neither theP. syringae pv. tomato DC3000 population sizes (R = 0.16,P = 0.52) nor with the plant disease index (R = 0.38,P = 0.12). However, a correlation between the pathogen population size and the disease index was evident (R = 0.87,P < 0.001).

Fig. 5.

Fig. 5.

Population size of 18 differentSphingomonas (in sensu lato) isolates onA. thaliana plants (top), the corresponding population size of the plant pathogenP. syringae pv. tomato DC3000 (center), and the plant disease index scored from 1 to 5 (bottom). Plants were leaf inoculated with the individualSphingomonas strains 1 week before infection, and data were collected at 21 dpi. Each data point in the population-size plots represents the means ± SEM of 10 plant individuals (except for strains Fr1 and C3, for whichn = 6), whereas means and standard errors of the disease index are based on 24 to 32 individual plants. The gray horizontal bars indicate the pathogen population on and the disease index of axenic plants. TheSphingomonas isolates are sorted according to the disease index and are grouped into fully protective (+), intermediately protective (±), and nonprotective (−) phenotypes.

Concerning the origin ofSphingomonas strains, it was evident that all plant-derived isolates with one exception (S. asaccharolytica) showed full or intermediate plant protection. In particular, all tested phyllosphere isolates were effective againstP. syringae pv. tomato DC3000, although the degree of protection varied. On the other hand, four out of five air- and waterborne isolates were not beneficial forA. thaliana plants.

Carbon utilization profiles ofP. syringae pv. tomato DC3000 and representativeSphingomonas andMethylobacterium strains.

Carbon utilization is a crucial factor among subpopulations in the phyllosphere (51) and might explain differences betweenSphingomonas andMethylobacterium strains with respect to pathogen suppression. To verify whether this aspect is important for the observed differences in plant protection, the carbon utilization of representative strains was analyzed in Biolog assays. The results for the selected strains, which included twoSphingomonas strains with a plant-protective effect in the screening experiment, two nonprotectiveSphingomonas strains, and twoMethylobacterium strains, are displayed inFig. 6. Overall, the carbon substrate utilization profile ofP. syringae pv. tomato DC3000 was more similar to that of the protectiveSphingomonas strains than to the nonprotective commensals. The most striking difference was seen in carbohydrate metabolism: not a single sugar (out of 28) was used by one of the nonprotective strains. Accordingly, the niche overlap indices (NOI; where 0 indicates a completely different and 1 an identical substrate utilization pattern), calculated for the commensal bacteria relative to the pathogen and based on all 95 tested substrates, were higher for the protective antagonists (Sphingomonas sp. Fr1, 0.43;S. phyllosphaerae, 0.41) as for the nonprotective strains (S. aerolata, 0.26;S. wittichii, 0.30;M. extorquens PA1, 0.17;Methylobacterium sp. 32, 0.20).

Fig. 6.

Fig. 6.

Biolog substrate utilization profiles of the plant pathogenP. syringae pv. tomato DC3000 (Pst) and representativeSphingomonas andMethylobacterium strains.Sphingomonas sp. Fr1 andS. phyllosphaerae showed a plant-protective effect, whileS. aerolata,S. wittichii,M. extorquens PA1, andMethylobacterium sp. 32 did not. Black boxes indicate positive values, and gray boxes indicate weakly positive values.

DISCUSSION

In this study, the question of whetherMethylobacterium andSphingomonas spp. exert a positive effect on host plants by preventing the proliferation of invading bacterial pathogens was addressed. Different studies reported that these two genera represent a substantial part of the leaf microbiota on various plant species (8,9,25,28,30). Our results showed that the presence ofMethylobacterium spp. onA. thaliana leaves has no lasting effect onP. syringae pv. tomato DC3000in planta growth and disease development. In contrast,Sphingomonas spp. prevented severe disease symptom formation and kept pathogen cell numbers lower than those of axenic plants. Depending on the day postinfection, a 10- to 340-fold-reducedP. syringae pv. tomato DC3000 population size was observed. This decrease is comparable to the differences observed between resistant and susceptible plants: a number of studies report 10- to 200-fold-reducedP. syringae cell numbers in resistant host plants (21,24,50), showing that in both cases a substantial pathogen reduction correlates with the absence of disease symptoms. A plant-protective effect could be shown not only for a distinctSphingomonas isolate but also for almost all of the plant-derived isolates that were tested (Fig. 5). A number of different phyllosphere isolates, e.g.,S. melonis,Sphingomonas sp. Fr1, andS. phyllosphaerae, exhibited a similar effect on pathogen growth and disease suppression despite the fact that they were isolated from different plant sources (melon fruit in Spain,A. thaliana leaf in Spain, and acacia leaf in Argentina, respectively). This indicates that the competitive phyllosphere colonization and suppression of pathogen growthin planta is a common trait of phyllosphere colonizers belonging to the genusSphingomonas in sensu lato. The ability ofSphingomonas spp. to protect plants againstX. campestris pv. campestris LMG 568, another well-established plant pathogenic bacterium in theA. thaliana model (4), suggests that they are effective against a wider range of foliar pathogens.

The striking plant-protective effect ofSphingomonas spp. raises the question of the mechanism of antagonism. The plant health-protecting effect ofSphingomonas in theA. thaliana model may in part be explained by their high abundance on the leaf surface. According to Giddens et al. (12), the preemptive colonization of target sites is an important determinant of an efficient biological control agent. However, abundance alone, in terms of total cell numbers, is unlikely to be the determining factor for plant protection, as the differentSphingomonas strains, which established a comparable population size, exhibited a different degree of inhibition. This lack of correlation betweenSphingomonas andP. syringae pv. tomato DC3000 population sizes, however, does not contradict, for instance, competition for nutrients, which can be expected to occur once the pathogen encounters a predominantly epiphytic population ofSphingomonas onA. thaliana leaves (see Fig. S3 in the supplemental material).In vitro substrate utilization profiles ofP. syringae pv. tomato DC3000 and representativeSphingomonas andMethylobacterium strains were analyzed and revealed a nutritional niche overlap (22) between the pathogen and the plant-protective strains. Notably, photoassimilates like glucose, fructose, and sucrose, which, among other organic compounds, leak from plant leaves (31,47), were metabolized byP. syringae pv. tomato DC3000 and the protectiveSphingomonas strains but not by the nonprotective strains (Fig. 6). Although this finding is based on a limited data set, it indicates that carbon partitioning plays an important role forSphingomonas spp. to be effective antagonists in the phyllosphere; it is congruent with the presence of a range of predicted carbohydrate uptake systems inSphingomonas spp. inhabiting the phyllosphere (9). Ji and Wilson (22) showed that a bacterial strain with a higher degree of nutritional similarity to a plant pathogen is likely to be a better antagonist. The failure to detect a plant-protecting effect forMethylobacterium spp., which are known to use only a narrow range of substrates besides methanol (14,32,43), is in line with these observations and confirms data reported by Wilson and Lindow (51) about the coexistence of aMethylobacterium isolate andPseudomonas syringae in the phyllosphere of bean plants. The presented data here serve as a first indication of a mode of action underlying plant-protectiveSphingomonas spp. However, further experimental substantiation will be required. Other potential mechanisms of protection also may occur, such as competition for macroelements and space (49,53), the production of antimicrobial compounds (41), and the stimulation of systemic host responses (39).

In conclusion, the majority of the plant-associatedSphingomonas spp. tested in this study showed a plant-protective effect against foliar pathogen infection based onP. syringae andA. thaliana as a model system. This suggests thatSphingomonas populations, which are known to be widespread on plants, can supportA. thaliana in defending pathogen attacks and may serve as the first, outermost layer of plant defense. It remains to be shown how far-ranging plant protection bySphingomonas spp. is with respect to different plant species, other pathogens, and under natural conditions. It will also be of interest to investigate whether other common phyllosphere commensals display similar activities, which might result in synergistic effects.

Supplementary Material

[Supplemental material]

ACKNOWLEDGMENTS

This work was supported by the Vontobel Foundation and ETH Zurich.

We thank Christine Vogel for her contribution to the experimental part of this work as a semester student.

Footnotes

Supplemental material for this article may be found athttp://aem.asm.org/.

Published ahead of print on 18 March 2011.

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