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In Vitro Antagonists of Rhizoctonia Solani Tested on Lettuce Rhizosphere Competence, Bio Control Efficiency and Rhizosphere Microbial Community Response Research Article 2009 FEMS

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  • 8/8/2019 In Vitro Antagonists of Rhizoctonia Solani Tested on Lettuce Rhizosphere Competence, Bio Control Efficiency and Rh

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    R E S E A R C H A R T I C L E

    In vitroantagonists of Rhizoctonia solanitested on lettuce:

    rhizosphere competence, biocontrol eciency and rhizosphere

    microbial community response

    Modupe F. Adesina1, Rita Grosch2, Antje Lembke1, Tzenko D. Vatchev3 & Kornelia Smalla1

    1Julius K uhn-Institut Federal Research Centre for Cultivated Plants (JKI), Braunschweig, Germany; 2Institute for Vegetables and Ornamental Crops

    (IGZ), Grobeeren, Germany; and 3Department of Plant Pathology and Immunology, Plant Protection Institute, Sofia, Bulgaria

    Correspondence: Kornelia Smalla, Julius

    K uhn-Institut Federal Research Centre for

    Cultivated Plants (JKI), Messeweg 11/12,

    D-38104 Braunschweig, Germany. Tel.:149

    531 299 3814; fax:149 531 299 3006;

    e-mail: [email protected]

    Received 30 July 2008; revised 18 March 2009;

    accepted 24 March 2009.

    Final version published online June 2009.

    DOI:10.1111/j.1574-6941.2009.00685.x

    Editor: Jim Prosser

    Keywords

    Rhizoctonia solani; antagonists; lettuce;

    rhizosphere competence; biocontrol; microbial

    communities.

    Abstract

    The rhizosphere competence of 15 in vitro antagonists of Rhizoctonia solani was

    determined 4 weeks after sowing inoculated lettuce seeds into nonsterile soil.

    Based on the colonization ability determined by selective plating, eight strains were

    selected for growth chamber experiments to determine their efficacy in controlling

    bottom rot caused by R. solani on lettuce. Although in the first experiment all

    antagonists colonized the rhizosphere of lettuce with CFU counts above 2 106 g1

    of root fresh weight, only four isolates significantly reduced disease severity. In

    subsequent experiments involving these four antagonists, only Pseudomonas

    jessenii RU47 showed effective and consistent disease suppression. Plate counts

    and denaturing gradient gel electrophoresis (DGGE) fingerprints ofPseudomonas-

    specific gacA genes amplified from total community DNA confirmed that RU47

    established as the dominant Pseudomonas population in the rhizosphere of

    inoculated lettuce plants. Furthermore, the DGGE fingerprint revealed that

    R. solani AG1-IB inoculation severely affected the bacterial and fungal community

    structure in the rhizosphere of lettuce and that these effects were much less

    pronounced in the presence of RU47. Although the exact mechanism of antag-

    onistic activity and the ecology of RU47 remain to be further explored, our resultssuggest that RU47 is a promising agent to control bottom rot of lettuce.

    Introduction

    Rhizoctonia solani Kuhn, the anamorph of Thanatephorus

    cucumeris (Frank) Donk, is a widespread soil-borne fungus

    comprising plant parasitic or saprophytic strains (Ogoshi,

    1987; Gonzalez Garca et al., 2006). The species affects many

    important agricultural and horticultural crops worldwide,

    causing diseases such as black scurf, crown rot and bottom

    rot (Ogoshi, 1996). The control of the pathogen is difficult

    because of its wide host range and its ability to survive as

    sclerotia under adverse environmental conditions. In prac-

    tice, the control of diseases caused by R. solani relies mainly

    on fungicides (Kataria & Gisi, 1996). However, increasing

    concern about the health and environmental hazards asso-

    ciated with the use of agrochemicals has resulted in the

    search for viable alternatives. Hence, biological control

    involving the use of microorganisms that can suppress or

    antagonize plant pathogens is being considered as a sub-

    stitute or a supplement to reduce the use of chemical

    pesticides (Sweetingham, 1996; Compant et al., 2005). Over

    the last decades, bacteria with the ability to suppress

    R. solani have been isolated from different soils (Weller

    et al., 2002; Faltin et al., 2004; Garbeva et al., 2004; Berg

    et al., 2005; Adesina et al., 2007). However, many studies

    have reported variabilities in the performance of biological

    control agents (BCA) and lack of a correlation between in

    vitro inhibition tests and the field performance of BCA

    (Milus & Rothrock, 1997; Schottel et al., 2001). It is assumed

    that the major contributors to this inconsistency in planta

    are the inherent characteristics of the BCA such as poor root

    colonization or insufficient production of antifungal meta-

    bolites at the pathogen infection sites due to variable

    expression of genes involved in disease suppression (Raaij-

    makers & Weller, 2001; Haas & Defago, 2005; Raaijmakers

    et al ., 2008). Recently, the application of molecular

    DNA-based methods contributed toward an improved

    FEMS Microbiol Ecol 69 (2009) 6274c 2009 Federation of European Microbiological Societies

    Published by Blackwell Publishing Ltd. All rights reserved

    mailto:[email protected]:[email protected]
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    understanding of the ecology of BCA in the rhizosphere

    where the BCA interact not only with the plant and the

    pathogen but also with the indigenous microbial commu-

    nity (Gotz et al., 2006; Scherwinski et al., 2008).

    In this study, 15 strains were selected from a collection of

    bacterial isolates with in vitro antagonistic activity towards

    R. solani AG3 (the causal agent of black scurf on potato) and/or Fusarium oxysporum (which causes wilting disease in

    diverse crops), which were previously isolated and character-

    ized (Adesina et al., 2007). The in vitro antagonists that

    originated from four disease-suppressive soils located in

    France, the Netherlands, Sweden and the United Kingdom

    were first screened for their ability to colonize the rhizosphere

    of lettuce in nonsterile soil. Based on their colonization ability,

    eight strains were selected for growth chamber experiments.

    The work presented here aimed to investigate the potential of

    the in vitro antagonists to suppress bottom rot disease caused

    byR. solani AG1-IB on lettuce plants in vivo (growth chamber

    experiments) and to study the survival and root colonization

    efficiency of the antagonists by means of selective plating. The

    abundance of the most promising antagonist and the response

    of the indigenous fungal and bacterial communities in the

    rhizosphere to plant inoculation were evaluated by cultiva-

    tion-independent molecular fingerprints. This is one of the

    few studies assessing not only biocontrol efficiency but also

    the survival of the bacterial inoculants and effects on the

    indigenous microbial communities.

    Materials and methods

    Bacterial and fungal strains

    Fifteen out of 248 antagonists isolated from four suppressive

    soils (Adesina et al., 2007) were selected on the basis of

    either their (1) strong in vitro activity against R. solani AG3

    (isolate Ben3; host plant, potato) or (2) activity towards

    both R. solani AG3 and F. oxysporum (isolate Foln3; host

    plant, flax). All bacterial antagonists used in this study were

    maintained on R2A agar (Difco, Detroit, MI). Rhizoctonia

    solani AG1-IB (isolate 7/3; host plant, lettuce) and AG2

    (isolate W4; host plant cabbage) were obtained from the

    strain collection of the Institute for Vegetables and Orna-

    mental Crops, Grobeeren, Germany) and maintained on

    Waksman agar containing 5 g of proteose-peptone (Merck,

    Darmstadt, Germany), 10 g of glucose (Merck), 3 g of meatextract (Chemex, Munchen, Germany), 5 g of NaCl (Merck),

    20 g of agar (Difco), and distilled water (to 1 L) (pH 6.8).

    Generation of antibiotic-resistant mutants

    To facilitate reisolation of the bacterial inoculants from the

    rhizosphere, spontaneous rifampicin-resistant mutants of the

    bacterial antagonists were generated by plating overnight

    cultures onto R2A agar supplemented with rifampicin

    (75mg mL1). The 15 rifampicin-resistant mutant strains were

    tested for inhibitory activity against two highly pathogenic

    isolates belonging to the R. solani anastomosis groups AG1-IB

    and AG2 (Faltin et al., 2004; Grosch et al., 2004). In vitro

    inhibitory activity against R. solani AG1-IB and AG2 was

    determined essentially as described by Adesina et al. (2007).

    The mutant strains were stored at 801

    C in LuriaBertani broth (ROTH, Germany) containing 20% glycerol

    supplemented with rifampicin (75 mg mL1).

    Lettuce rhizosphere colonization assays

    To determine the rhizosphere competence of the 15 rifam-

    picin-resistant strains, rhizosphere colonization assays were

    performed in nonsterile soil under greenhouse conditions.

    Lettuce seeds (cultivar Tizian, Syngenta, Bad Salzuflen,

    Germany) were surface sterilized in 2% sodium hypochlor-

    ite (NaOCl) for 5 min, followed by three subsequent wash-

    ing steps with sterile distilled water. The seeds were

    pregerminated on sterile moistened filter papers in sterilePetri dishes for 2 days at room temperature. Pregerminated

    lettuce seeds were soaked in a cell suspension (cell concen-

    tration adjusted to c. 109 cells mL1) of each bacterial

    antagonist for 1 h. Four pregerminated and inoculated seeds

    per pot were sown into nonsterile potting soil [turf sub-

    strate/clay granulate No. 4230, Klasmann-Deilmann GmbH,

    Geeste, Germany, sieved (2-mm mesh width) and mixed

    with 80% (w/w) sand]. The pots were kept in the greenhouse

    at 20 1C and 30% humidity. Each treatment was replicated

    three times. Four weeks after sowing, the plants were care-

    fully removed from the soil and vigorously shaken. The

    roots with adhering soil were placed in a Stomacher plastic

    bag and processed after adding sterile saline mechanically by

    Stomacher blending for 3 min at high speed. CFU of the

    inoculant per gram of root fresh weight (rfw) were deter-

    mined by plating serial dilutions of the rhizosphere suspen-

    sions on R2A supplemented with rifampicin (75 mg mL1)

    and cycloheximide (100mg mL1). The CFU were counted

    after 2 days of incubation at 28 1C.

    Growth chamber experiments

    Based on the results of the rhizosphere colonization assays,

    eight antagonistic isolates with the ability to colonize lettuce

    roots at cell densities of approximately log CFU 4 4 g1 of

    rfw or more were selected for the growth chamber experi-

    ments. The efficacy of eight antagonistic isolates in control-

    ling bottom rot disease caused by R. solani AG1-IB on

    lettuce plants (cultivar Tizian) was assessed under favor-

    able conditions for the pathogen in the growth chamber

    (York, Mannheim, Germany; 16 h/8 h day/night cycle,

    500 mmolm2 s1, 20/15 1C and 60%/80% relative humid-

    ity). In experiment 1, all eight in vitro antagonists were

    evaluated. Four isolates with the best disease suppression

    FEMS Microbiol Ecol 69 (2009) 6274 c 2009 Federation of European Microbiological Societies

    Published by Blackwell Publishing Ltd. All rights reserved

    63Biocontrol of Rhizoctonia solaniand rhizosphere competence

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    were included in experiments 2 and 3, while only two

    isolates with the best results in experiments 1 and 2 were

    assessed in experiment 4. In experiment 3, the effect on plant

    growth was determined based on lettuce shoot and root dry

    weight, in treatments without pathogen inoculation.

    Seeds were treated with bacterial antagonists directly before

    sowing. Each antagonist was grown overnight on nutrient agarsupplemented with rifampicin at 75mg mL1. Overnight-

    grown colonies were resuspended in a sterile 0.3% NaCl

    solution and shaken to obtain a homogeneous cell suspension.

    The concentration was adjusted in a spectrophotometer to a

    density corresponding to c. 109CFUmL1. Lettuce seeds were

    soaked in the bacterial suspension for 1 h at room temperature.

    Seeds that were incubated in sterile saline for the same time

    served as a control. Seeds were germinated in a seedling tray

    containing 92 holes filled with a nonsterile mixture of quartz

    sand and substrate [Fruhsdorfer Einheitserde Typ P, Germany;

    chemical analysis (mg per 100g): N= 75, P= 75, K= 125;

    pH 5.9] at a 1 : 1 ratio (v/v). Lettuce plantlets were transferred

    at the two- to three-leaf stage to pots filled with the same soil

    mixture with one plant per pot. Drenching of lettuce plants

    with bacterial antagonists was carried out 24 h after transplant-

    ing. Each plant of the treatment inoculated with RU47 and

    R. solani (RU471Rs) was drenched with 20 mL of the bacterial

    suspension (107 CFUmL1) and the noninoculated healthy

    control (Ctrl) and inoculated with R. solani (Ctrl1Rs) treat-

    ments received 20mL of sterile saline. The pathogen was added

    on barley kernels infested with the R. solani AG1-IB (isolate 7/3;

    Schneider et al., 1997) 1 day after drenching the plants with

    bacterial antagonists. Five kernels per lettuce seedling were

    placed 1 cm deep at a distance of 2 cm from the lettuce plant.

    Noninfested barley kernels were added to the control treat-ments accordingly. The pots were watered daily to maintain the

    substrate moisture. Each treatment consisted of six replicates

    (four pots per replicate) arranged in a randomized design. Nine

    additional pots (three plants per time point and treatment)

    were included for microbial analysis.

    Suppression of bottom rot disease by bacterial

    inoculants

    Seven weeks after sowing (4 weeks after pathogen inocula-

    tion), the experiments were terminated and a total of 24

    plants were evaluated for suppression of bottom rot disease

    of R. solani AG1-IB based on (1) the disease incidence and

    on (2) the effect on the shoot dry weight (SDW). The disease

    incidence was assessed by recording the number of plants

    with visual symptoms or the number of dead plants. The

    shoot dry weight of each lettuce plant was measured.

    Root colonization by bacterial inoculants

    To determine the survival and root colonization efficiency

    of the inoculated antagonists, rhizosphere samples were

    collected at three time points: 3, 5 and 7 weeks after sowing.

    For each treatment and sampling time three symptomless

    plants were used. Loosely adhering soil was removed from

    the roots by shaking the plants. Five grams of roots with

    adhering soil were suspended in 20 mL of sterile saline and

    shaken vigorously in sterile flask containing six glass beads

    (0.6 mm in diameter) on a rotary shaker for 1 h at 307 r.p.m.

    Aliquots of the rhizosphere suspension were immediatelyprocessed for enumeration of the inoculated strains. Serially

    diluted rhizosphere suspensions were plated on R2A med-

    ium (Difco) supplemented with rifampicin (75mg mL1)

    and cycloheximide (100mg mL1). The remaining rhizo-

    sphere suspension was centrifuged at 13 000g for 5min.

    After discarding the supernatants, the cell pellets were stored

    frozen at 20 1C.

    The ability of the most promising antagonist RU47 to

    colonize the vascular tissue of lettuce roots and leaves was

    determined at 7 weeks after sowing in experiment 3. Roots

    from the inoculated plants were shaken to remove loosely

    adhering soils and washed in running water. One gram of

    the washed roots or leaves were soaked in 1% sodium

    hypochlorite for 1 min. Surface-sterilized root or leaf sam-

    ples were rinsed four times with sterile distilled water and

    macerated using a sterile mortal and pestle. The suspensions

    of the macerated roots or leaves were serially diluted and

    plated as mentioned above.

    DNA extraction from rhizosphere samples

    Total community (TC)-DNA was obtained from the rhizo-

    sphere pellets by means of the Bio101 extraction kit

    (Q.BIOgene, Carlsbad, CA) after a harsh lysis step. The TC-

    DNA was purified using the GENECLEAN Spin kit (Q.BIO-

    gene). DNA yields were estimated after electrophoresis in

    1% agarose gel stained with ethidium bromide under UV

    light in comparison with the 1-kb gene-rulerTM DNA

    ladder (Fermentas, St Leon-Rot, Germany) run on the same

    agarose gel. Depending on the yield of the extracted TC-

    DNA, dilutions were made with sterile milliQ water between

    1 : 50 and 1 : 100 (c. 15 ng) and were used as a template for

    PCR amplification of bacterial 16S rRNA gene fragments.

    Undiluted TC-DNA, or 1 : 10 dilutions (c. 20ng DNA)

    served as a template for PCR of fungal 18S rRNA gene

    fragments.

    PCR amplification of 16S and 18S rRNA and gacAgene fragments for denaturing gradient gel

    electrophoresis (DGGE) analysis

    To amplify the 16S rRNA gene fragments of Pseudomonas

    from TC-DNA the nested PCR system described by Milling

    et al. (2004) was used. Diluted amplicons obtained from the

    first PCR served as templates for a second PCR using the

    bacterial primers F984-GC/R1378 and PCR conditions

    described by Heuer et al. (1997). To generate bacterial

    FEMS Microbiol Ecol 69 (2009) 6274c 2009 Federation of European Microbiological Societies

    Published by Blackwell Publishing Ltd. All rights reserved

    64 M.F. Adesina et al.

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    community fingerprints, the latter primer system and

    conditions were used to directly amplify 16S rRNA gene

    fragments from TC-DNA. Amplification of the Pseudomonas-

    specific gacA gene fragment (575 bp) was performed

    using the nested PCR approach described by Costa et al.

    (2007). Amplification of 18S rRNA gene fragments

    (1650 bp) was done using the primer pair NS0/EF3(Messner & Prillinger, 1995; Smit et al., 1999) in a first PCR

    assay, followed by a second PCR step with the primer pair

    NS1/FR1GC (White et al., 1990; Vainio & Hantula, 2000).

    The PCR conditions used were described by Costa et al.

    (2006).

    DGGE

    DGGE analysis was performed using the Dcode System

    apparatus (Bio-Rad Inc., Hercules, CA). The polyacrylamide

    gel was a gradient gel containing 9% (fungi) or a double

    gradient gel of 69% (bacteria, Pseudomonas and gacA)acrylamide with a denaturant gradient of 1838%

    (fungi) or 2658% (bacteria, Pseudomonas and gacA) of

    denaturants according to Gomes et al. (2005) (where 100%

    denaturants contain 7 M urea and 40% formamide). Ali-

    quots of PCR samples (24 mL) were applied to the DGGE

    gels, and the run was performed in 1 Tris-acetate-EDTA

    buffer at 58 1C with a constant voltage of 220 V for 6 h

    (bacteria, Pseudomonas, gacA) or 180 V for 18 h (fungi). The

    DGGE gels were silver stained, according to Heuer et al.

    (2001).

    Cluster analysis of DGGE fingerprints

    Fungal, bacterial, Pseudomonas and gacA-based Pseudomonas

    DGGE community fingerprints were analyzed using the

    software package GELCOMPAR II version 5.6 (Applied Maths,

    Kortrijk, Belgium). Background was subtracted using a

    rolling disk method with an intensity of 10 (relative units),

    and the lanes were normalized.

    A dendrogram was constructed by the Pearson correlation

    index for each pair of lanes within a gel and cluster analysis

    by the unweighted pair group method using arithmetic

    averages (UPGMA).

    Statistical analysis

    The STATISTICA program (StatSoft Inc., Tulsa, OK) was used

    for the statistical analysis. The CFU data of bacterial counts

    per gram rfw were logarithmically (log10) transformed

    before statistical analysis. The data on inoculants densities,

    plant shoot and root dry weight were analyzed after ANOVA

    using Tukeys test procedure (HSD) with P= 0.05.

    Results

    In vitro activity of antagonists and colonization

    of lettuce root

    To facilitate monitoring of the 15 in vitro antagonistic

    strains by selective plating, rifampicin-resistant mutants

    were generated for all antagonists. The ability of the 15in vitro antagonists to colonize the roots of lettuce plants

    was determined 4 weeks after sowing inoculated pregermi-

    nated lettuce seeds into nonsterile soil. Eight strains with

    CFU counts 4 4 103 g1 rfw were selected for subsequent

    growth chamber experiments. The in vitro antagonistic

    activities of these eight strains towards representatives of

    the R. solani anastomosis groups AG1-IB (host plant,

    lettuce), AG2 (host plant, sugar beet) and AG3 (host plant:

    potato) are given in Table 1. Five antagonists (KS16, KS90,

    KS70, KS74 and KF36) showed strong in vitro inhibitory

    activity against R. solani AG1-IB (the model pathogen used

    in this study for the growth chamber experiments) withinhibition zones larger than 6 mm while strain RN86

    expressed a moderate inhibitory activity of o 6mm zone

    of inhibition. OnlySerratia marcescens AFNS31 and Pseudo-

    monas jessenii RU47 displayed weak activity against R. solani

    AG1-IB with inhibition zones o 3mm after 5 days of

    incubation. Information on the identity of the strains

    selected for the growth chamber experiment, their in vitro

    antagonistic activity and their secondary metabolite pro-

    duction is given in Table 1.

    Survival of the antagonists in the rhizosphere

    of lettuce plants under growth chamber

    conditions

    Although similar cell densities of bacterial suspension were

    used for seed inoculation (c. 109 mL1), the cell densities of

    antagonists on the seed surfaces showed remarkable differ-

    ences and were in the range of 8 104 8 107 CFU per seed

    (data not shown). However, the bacterial inoculants actively

    colonized the lettuce roots. The CFU counts of the inoculant

    strains determined 3 weeks after sowing ranged between

    2 106 and 6 107 CFUg1 rfw (Table 2) and decreased

    for all antagonists during the time course of the experiment

    about one order of magnitude, except for KS16, which

    slightly increased in experiment 1 (Table 2).

    At the end of experiment 1, the CFU counts per gram of

    lettuce rfw were not significantly different for the antago-

    nists RU47, KF36, KS16, KS74 and KS90 (Table 2). Compar-

    able results were obtained in experiment 2, which was

    performed only with four of these isolates (RU47, KF36,

    KS16 and KS74). Despite their good ability to colonize the

    rhizosphere, the in vitro antagonists KS70, AFNS31 and

    RN86 failed to control the pathogen in experiment 1.

    FEMS Microbiol Ecol 69 (2009) 6274 c 2009 Federation of European Microbiological Societies

    Published by Blackwell Publishing Ltd. All rights reserved

    65Biocontrol of Rhizoctonia solaniand rhizosphere competence

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    Almost all plants died due to high disease severity by

    R. solani infection and thus the colonization density could

    not be followed until the end of experiment 1 for these

    isolates.

    In experiment 3, the ability of isolate RU47 to colonize

    the vascular tissue of lettuce leaves and roots was deter-

    mined 7 weeks after sowing by dilution plating of thesuspension of surface-sterilized macerated roots and leaves

    from lettuce plants inoculated with RU47. We observed no

    colony growth on the plates, suggesting that the strain did

    not grow endophytically.

    Suppression of bottom rot disease by

    introduced bacterial antagonists

    At the end of each experiment, a total of 24 plants per

    treatment (six replicates per treatment and four plants

    per replicate) were used to evaluate the ability of the

    inoculated antagonists to suppress bottom rot disease

    caused by R. solani AG1-IB on lettuce plants. Evaluation

    of the pathogen effect on lettuce was based on the number

    of surviving plants and the SDW compared with the Ctrl

    treatment.

    In experiment 1, disease severity and pathogen pressure

    were high as evidenced by the high numbers of dead plants

    (23 of 24 plants) and a high reduction in the shoot biomass

    in the Ctrl1Rs treatment only (Table 3). However, also in

    the treatments inoculated with the strong in vitro antago-

    nists KS90 and KS70, as well as treatments inoculated with

    the medium and weak antagonists RN86 and AFNS31,

    respectively (Table 1), none or low numbers of surviving

    plants and significantly reduced dry shoot biomass werefound (Table 3). This indicates a high disease pressure of the

    R. solani AG1-IB strain used in this study on lettuce plants

    under the given cultivation conditions. In experiment 1,

    high numbers of surviving plants and a shoot biomass

    comparable to those from healthy Ctrl plants were obtained

    for plants inoculated with isolates RU47, KF36, KS16

    and KS74 (Table 3). Based on these findings, experiments 2

    and 3 were repeated only with these strains. Despite the

    high level of disease severity caused by the pathogen,

    the highest number of surviving plants was found in

    treatments inoculated with RU47 in all experiments

    (Table 3), indicating a consistent and strong antagonistic

    activity of this bacterium towards R. solani AG1-IB.

    Although KF36 had a similar disease-suppressive effect as

    RU47 in experiments 1 and 2, its suppression of the

    pathogen was inconsistent in the four experiments per-

    formed. In fact, none or one surviving plant was recovered

    from treatments inoculated with KF36 in experiments 3 and

    4 (Table 3). In comparison with RU47 and KF36, strains

    KS16 and KS74 were less efficient in controlling R. solani

    AG1-IB in experiments 1 and 2.Table

    1.

    Invitrocharacterization

    ofeightselectedantagonistsandrhizospherecompetence(CFUpergramfreshrootweight)in

    prescreeninggreenhouseexperiment

    Codes

    16SrRNAgenepartialsequencing

    Antifungalactivity

    Hydrolyticenzym

    es

    Prescreening

    Closesthit

    %

    R.

    solan

    iAG1-IB

    R.

    solan

    iAG2

    R.

    solan

    iAG3

    F.oxysporum

    Protease

    Glucanase

    Cellulase

    Chitinase

    Siderophore

    2,4-D

    APG

    Log10CFUg

    1

    of

    freshrootweight

    KS16

    Pseu

    domonas

    fluorescen

    s

    100

    111

    1

    111

    11

    1

    111

    1

    4.94

    0.36

    KS90

    P.fluorescens

    100

    111

    11

    111

    1

    111

    1

    4.29

    0.30

    KS70

    P.fulgida

    98

    111

    11

    11

    1

    1

    111

    3.65

    1.03

    KS74

    P.fluorescens

    100

    111

    11

    111

    1

    1

    111

    1

    4.14

    0.05

    KF36

    P.fluorescens

    99

    111

    11

    111

    1

    111

    1

    4.63

    0.42

    AFNS31

    Serratiamarcescens

    100

    1

    1

    1

    1

    1

    1

    ND

    4.17

    0.75

    RN86

    P.canna

    bina

    99

    11

    1

    1

    1

    1

    3.43

    0.71

    RU47

    P.jessen

    ii

    99

    1

    1

    1

    1

    1

    11

    4.07

    0.25

    Straincode,KSandKFstrainsisolatedonKingsBfromSwedishandFrenchsoil;

    AFNSstrainisolatedonAGSfromFrenchsoil;R

    NandRUstrainsisolatedonR2AfromtheNet

    herlandsandtheUnited

    Kingdom,respectively(Adesinaet

    al.,2007).Inhibitionzones:1,myceliadiebackandinhibitionzoneof1.02.9mm;11,

    inhib

    itionzoneof3.05.9mm;111,

    inhibitionzon

    eof6.0mmandmore;

    ,noactivity.

    ,testsconductedinthisstudy(otherwise:Adesinaeta

    l.,2007);DAPG,

    detectionofthep

    hlDgenebyPCR-Southernblothybrid

    ization(M.F.Adesinaeta

    l.inpreparation);ND,

    notdetermined.

    FEMS Microbiol Ecol 69 (2009) 6274c 2009 Federation of European Microbiological Societies

    Published by Blackwell Publishing Ltd. All rights reserved

    66 M.F. Adesina et al.

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    Effects of bacterial antagonist on the growth of

    lettuce plants

    The effects of RU47, KF36, KS16 and KS74 (which showed

    significant disease suppression in experiment 1) on lettuce

    growth were evaluated in experiment 3. The effects of the

    inoculants on plant growth were determined in treatments

    inoculated with each bacterial antagonist without adding

    the pathogen. The shoot and root dry weight obtained for

    plants inoculated was similar to the healthy Ctrl plants.

    Treatment effects on indigenous microbial

    communities

    The effect of the pathogen R. solani1-IB and of the inoculantstrain P. jessenii RU47 on the relative abundance of domi-

    nant bacterial, fungal and Pseudomonas populations in the

    rhizosphere of lettuce plants was investigated using DGGE

    analysis of 16S rRNA, 18S rRNA or gacA gene fragments

    amplified from TC-DNA. DGGE profiles were compared

    between three replicate rhizosphere samples from the non-

    inoculated healthy control plants (Ctrl), plants grown with

    R. solani (Ctrl1Rs) and plants with a combined inoculation

    of RU47 and R. solani (RU471Rs) at three sampling times

    (3, 5 and 7 weeks after sowing). Although DGGE analyses

    were performed for experiments 1, 2 and 3, only the data for

    experiment 3 are presented here.The bacterial DGGE profiles showed complex patterns

    indicating many equally abundant bacterial populations.

    Detection of strain RU47 in the bacterial rhizosphere

    patterns of inoculated plants was impossible due to the

    presence of a band with identical electrophoretic mobility as

    the 16S rRNA gene fragment amplified from RU47 in the

    replicates of Ctrl and Ctrl1Rs treatments (Fig. 1a and b).

    Seven weeks after sowing, this band was much less intense in

    the replicates of RU471Rs (Fig. 1b). Three weeks after

    sowing, a clear effect of the seed inoculation could be

    detected (data not shown). Cluster analysis (UPGMA of

    Pearsons correlation indices) of the bacterial DGGE profiles

    showed that the bacterial patterns of rhizosphere samplestaken 5 weeks after sowing (2 weeks after transplanting)

    displayed a higher degree of variability between replicates,

    and the clustering of the treatments was less pronounced

    (Fig. 1a). Seven weeks after sowing, the separation of the

    Table 2. Colonization density of bacterial antagonists on lettuce Tizian

    (log10 CFUg1 of fresh root weight) cultivated in growth chamber at

    20/151C 3, 5 and 7 weeks after sowing (WAS) in three independent

    experiments (1, 2 and 3)

    Experiments 3 WAS 5 WAS 7 WAS

    Experiment 1

    RU471Rs 7.170.04 cb 6.720.15 a 5.920.12 cb

    KF361Rs 7.570.27 c 6.550.22 a 6.630.12 c

    KS161Rs 6.390.37 ab 6.400.55 a 6.580.19 c

    KS741Rs 6.570.26 ab 6.460.13 a 5.820.23 cbKS901Rs 6.520.08 ab 6.810.66 a 5.950.39 cb

    KS701Rs 6.200.53 a 6.210.58 a 4.750.39 a

    AFNS311Rs 6.850.38 ab 6.150.33 a 5.530.42 ab

    RN861Rs 6.680.02 ND ND

    Experiment 2

    RU471Rs 6.190.38 a 5.000.33 a 4.880.49 a

    KF361Rs 6.550.30 a 5.930.21 b 5.540.44 a

    KS161Rs 6.530.07 a 5.480.35 ab 5.450.24 a

    KS741Rs 5.860.47 a 4.960.38 a 4.920.33 a

    Experiment 3

    RU471Rs 5.820.06 a 5.240.27 5.620.22

    KF361Rs 5.920.06 a ND ND

    KS161Rs 5.220.22 a ND ND

    KS741Rs 6.090.28 a ND ND

    CFU of the same experiment followed by the same letter are not

    significantly different according to Tukeys test (P= 0.05).

    ND, parameter not determined due to the death of nearly all plants, thus

    no surviving plants for sampling.

    Table 3. Biological control effect of bacterial antagonists toward Rhizoctonia solaniafter seed and plant inoculation of lettuce Tizian cultivated in

    growth chamber at 20/15 1C for 7 weeks on number of dead plants (DP, from 24 plants) and shoot dry weight (SDW)

    Treatments

    Experiment 1 Experiment 2 Experiment 3 Experiment 4

    DP SDW (g p er plant) SD DP SDW (g p er plant) SD DP SDW (g per plant) SD DP SDW (g p er plant) SD

    Ctrl 0 5.2 a 0.4 0 3.9 a 0.2 0 2.8 a 0.1 0 1.6 a 0.05

    Ctrl1Rs 23 0.9 bc 0.5 13 2.2 b 0.9 24 0.6 b 0.1 24 0.2 b 0.03RU471Rs 0 4.7 a 0.2 0 3.5 ac 0.1 7 1.9 c 0.5 3 1.3 c 0.14

    KF361Rs 0 4.9 a 0.6 0 3.4 ac 0.2 23 0.6 b 0.1 24 0.2 b 0.03

    KS161Rs 1 4.1 a 0.5 5 2.8 bc 0.6 22 0.6 b 0.3

    KS741Rs 4 3.9 a 0.7 3 3.0 ab 0.5 23 0.7 b 0.3

    KS901Rs 11 2.2 c 1.2

    KS701Rs 21 1.4 bc 1.0

    AFNS311Rs 21 1.6 bc 0.8

    RN861Rs 24 0.6 b 0.1

    Dry weight followed by the same letter is not significantly different according to Tukeys test (P= 0.05). DP, dead plant; SD, standard deviation.

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    cluster formed by the fingerprints of the Ctrl1Rs replicates

    was more pronounced [o 30% similarity to the Ctrl and

    RU471Rs treatments (Fig. 1b)]. The replicates of the

    RU471Rs and Ctrl treatments formed a joint cluster.

    Analysis of the Pseudomonas community pattern in the

    rhizosphere of lettuce plants showed a band with the same

    mobility as RU47 only in treatments inoculated with

    the antagonist 3 and 5 weeks after sowing (data not shown),

    whereas 7 weeks after sowing, the detection of RU47 was

    not possible because a band with similar electrophoretic

    mobility as the 16S rRNA gene fragment amplified from

    RU47 was detected in all treatments (data not shown). In

    contrast to the bacterial community profiles, Pseudomonas

    rhizosphere patterns of lettuce plants were less complex,

    Fig. 1. Comparison among DGGE fingerprints of bacterial 16S rRNA gene fragments amplified from community DNA extracts obtained from the

    rhizosphere of lettuce plants without inoculation (Ctrl), with Rhizoctonia solani inoculation alone (Ctrl1Rs) and with combined inoculation of RU47

    (seed and young plant inoculation) and R. solani(RU471Rs) at (a) 5 weeks after sowing and (b) 7 weeks after sowing. Beside each gel, the

    corresponding UPGMA dendrogram based on Pearsons correlation indices is given. A, B and C are the three independent replicates per treatment.

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    with fewer numbers of bands. Aside from a band that was

    pronounced in the fingerprints of the Ctrl and RU471Rs

    samples taken 7 weeks after sowing, the banding patterns

    did not markedly differ at each sampling time for alltreatments. UPGMA analysis of the Pseudomonas DGGE

    banding patterns confirmed that replicates of all treatments

    shared a high similarity (4 80%) at all sampling times.

    Overall, a rather low degree of variability was observed

    among treatments, and the diversity of this group was

    almost not affected by inoculation with RU47 (data not

    shown).

    The DGGE profiles of the Pseudomonas-specific gacA

    gene fragments displayed a higher number of bands, indi-

    cating a better separation of Pseudomonas populations

    (Fig. 2a and b) as compared with Pseudomonas 16S rRNA

    DGGE profiles. A band with the mobility of RU47 was

    detected only in the RU471Rs treatments, and this band

    was clearly separated from a dominant band that was

    observed in the fingerprints of all treatments (Fig. 2a and

    b). Although this dominant band was less well separated

    from the RU47 band in the gacA fingerprints of rhizosphere

    communities sampled 7 weeks after sowing, the inoculant

    strain was still detectable at that time point for all replicates

    of RU471Rs (Fig. 2a). Also, the gacA fingerprints of samples

    taken 5 weeks after sowing shared a high similarity (4 60%)

    among all treatments. However, the fingerprints of the

    RU471Rs treatment clearly clustered separately from the

    replicates of the Ctrl1Rs and Ctrl treatments most likely

    due to the presence of a strong band with the sameelectrophoretic mobility as RU47. All gacA fingerprints of

    the samples taken 7 weeks after sowing displayed a high

    similarity, although treatment-dependent clustering was

    observed.

    The fungal fingerprints for rhizosphere samples taken 5

    weeks after sowing (Fig. 3a) revealed a high similarity of the

    Ctrl and RU471Rs treatments with treatment-dependent

    separate clusters. In contrast, the samples of the Ctrl1Rs

    treatments were variable and two of the three replicates of

    Ctrl1Rs shared o 25% with the fingerprints of all other

    samples. This trend became even more pronounced 7 weeks

    after sowing. All replicates of Ctrl1Rs treatment formed a

    separate cluster with o 20% similarity to the fingerprints of

    the RU471Rs and Ctrl treatment. Several bands (Fig. 3b,

    bands a, b, c d) were detected in the fingerprints of these

    treatments that were not found in the patterns of the

    Ctrl1Rs treatments. Obviously, the inoculation with

    R. solani AG1-IB had a major impact on the fungal

    fingerprints. In contrast, the fingerprints of the RU471Rs

    treatment displayed a high similarity to the noninoculated

    control, indicating no major effect in this treatment on the

    Fig. 2. Comparison among DGGE fingerprints

    of Pseudomonas-specific gacA gene fragments

    amplified from community DNA extracts

    obtained from the rhizosphere of lettuce plants

    without inoculation (Ctrl), with Rhizoctonia

    solani inoculation alone (Ctrl1Rs) and with

    combined inoculation of RU47 (seed and young

    plant inoculation) and R. solani(RU471Rs) at

    (a) 5 weeks after sowing and (b) 7 weeks after

    sowing. Beside each gel, the corresponding

    UPGMA dendrogram based on Pearsons

    correlation indices is given. A, B and C are the

    three independent replicates per treatment.

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    Fig. 3. Comparison among DGGE fingerprints of fungal 18S rRNA gene fragments amplified from community DNA extracts obtained from the

    rhizosphere of lettuce plants without inoculation (Ctrl), with Rhizoctonia solani inoculation alone (Ctrl1Rs) and with combined inoculation of RU47

    (seed and young plant inoculation) and R. solani(RU471Rs) at (a) 5 weeks after sowing and (b) 7 weeks after sowing. Beside each gel, the

    corresponding UPGMA dendrogram based on Pearsons correlation indices is given. A, B and C are the three independent replicates per treatment. The

    bands indicated as circled a, b, c and d are bands that are common to the replicates of the Ctrl and the RU47+Rs plants.

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    relative abundance of dominant fungal ribotypes. The

    DGGE profiles of fungal communities revealed that a band

    with electrophoretic mobility corresponding to that of the

    18S rRNA gene fragment amplified from R. solani was much

    stronger in the Ctrl1Rs treatment than in the RU471Rs

    treatment (Fig. 3a and b), indicating an increased relative

    abundance of R. solani in the lettuce rhizosphere of theCtrl1Rs treatment.

    Discussion

    In this study, in vitro antagonists were tested in growth

    chamber experiments with lettuce artificially inoculated

    with R. solani AG1-IB in order to assess their potential to

    colonize lettuce roots and to suppress R. solani AG1-IB-

    based disease symptoms and effect on plant growth. Inter-

    estingly, only one strain (P. jessenii RU47) with weakin vitro

    antagonistic activity against R. solani AG1-1B (Table 1)

    displayed efficient and consistent disease suppression

    throughout the four independent growth chamber experi-

    ments. These findings confirm previous observations that in

    vitro inhibition does not necessarily correlate with in vivo

    performance (Milus & Rothrock, 1997; Schottel et al., 2001;

    Faltin et al., 2004; Gravel et al., 2005).

    Seven of the eight strains selected were previously as-

    signed to Pseudomonas by 16S rRNA gene sequencing

    (Adesina et al., 2007), and for all of them proteolytic activity

    and siderophore production was detected on plates. Four

    Pseudomonas fluorescens strains (KF36, KS16, KS74 and

    KS90), which displayed strong in vitro antagonistic activity

    towards R. solani AG1-IB, carried the phlD gene involved in

    2,4-diacetylphloroglucinol (2,4-DAPG) biosynthesis (M.F.Adesina et al., unpublished data), suggesting that the strains

    might produce 2,4-DAPG. The important role of 2,4-DAPG

    production in efficient biocontrol was demonstrated re-

    cently (Haas & Defago, 2005; Rezzonico et al., 2007). In

    growth chamber experiment 1 all potentially 2,4-DAPG-

    producing P. fluorescens strains, except for KS90, showed

    good disease suppression. Although the strong in vitro

    antagonist P. fluorescens KS90 carried the phlD gene and its

    CFU counts per gram of rfw were not significantly different

    from the P. fluorescens strains KS16 and KS74, the disease

    control by this strain was much less efficient. However, all

    three other phlD-carrying P. fluorescens strains inoculated in

    experiment 3 failed to control the disease. The reasons for

    the variability observed are not clear. Differences in the

    expression of genes involved in antibiotic production due to

    lower cell densities in experiment 3 in comparison with

    experiment 1 (Table 2) in combination with high pathogen

    pressure might be discussed. Four out of the eight in vitro

    antagonists ofR. solani AG1-IB selected in our study failed

    to efficiently control the pathogen in the growth chamber

    experiment 1 (Table 3), although two of these four isolates

    displayed strong in vitro antagonistic activity against

    R. solani AG1-IB.

    In the growth chamber experiments, the bacterial antago-

    nists were applied by seed inoculation and plant drenching.

    Drenching of young lettuce plants with a bacterial cell

    suspension can easily be carried out before transplanting

    lettuce seedlings into the field. The CFU counts of theinoculant strains per gram of rfw determined 3 weeks after

    sowing in three independent growth chamber experiments

    were much higher than the counts obtained in the pre-

    screening greenhouse experiment. The reasons for this

    difference might be that the soil composition and availabil-

    ity of nutrients were different in the soils used. The ratio of

    sand to substrate of the soil used for the greenhouse

    prescreening experiment was 80 : 20 in contrast to the soil

    used for the growth chamber experiments, where the ratio

    was 50 : 50. This observation might point to an influence of

    the soil on the ability of the inoculant strains to colonize the

    rhizosphere of lettuce. Maloneyet al. (1997) found that the

    availability of carbon and nitrogen affected the rhizobacter-

    ial population. The ability of inoculant strains to colonize

    the root system after seed inoculation or root inoculation

    has been pinpointed as a key factor for successful biocontrol

    by many authors (Bloemberg & Lugtenberg, 2001; Haas &

    Defago, 2005). All strains showed rather good seed and root

    colonization as most inoculants established at cell densities

    4 106 g1 rfw 3 weeks after sowing. In the case of P. fulgida

    KS70, which displayed strong in vitro antagonistic activity

    towards a range of fungi and bacteria, less efficient coloniza-

    tion might have contributed to the failure to control the

    pathogen AG1-IB in the growth chamber experiment. How-

    ever, P. fluorescens KS90 and S. marcescens AFNS31 alsofailed to suppress bottom rot of R. solani, but nevertheless

    they colonized lettuce roots at the same or similar popula-

    tion densities as the biocontrol-efficient strain RU47. This

    implies that the inability of these isolates to suppress disease

    was not due to insufficient root colonization, but may have

    resulted from insufficient production of antifungal metabo-

    lites, different colonization patterns, for example the colo-

    nization of the strains at locations different from the

    infectious site of the pathogen or insufficient cell density of

    the antagonists at the infectious site or differences in the

    plant response. However, because the colonization patterns

    were not investigated in this study, it cannot be excluded

    that differences in colonization patterns between the strains

    existed. Using gfp-tagged inoculant strains, several studies

    reported heterogeneous colonization patterns and the ques-

    tion of what triggers the colonization of some sites and not

    of others was raised (Gamalero et al., 2003; Gotz et al.,

    2006). In contrast to studies performed under field condi-

    tions on the control of R. solani by means of bacterial

    antagonists (Grosch et al., 2005; Scherwinski et al., 2008),

    the growth chamber experiments were performed under

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    well-controlled conditions and with an extremely high

    pathogen pressure. A variation still existed between the

    experiments (Tables 2 and 3). The major variable factor

    was the growth of lettuce (Ctrl). In each of the independent

    growth chamber experiments, the Ctrl1Rs and RU471Rs

    treatments were compared with the control. The variability

    in the lettuce growth might be due to different factors. Theexperiments were performed in the time period of c. 1 year

    in the same chamber and thus it cannot be excluded that

    aging of the lamps resulted in less plant growth. The

    cultivation in the growth chamber started only after trans-

    planting at the two- to three-leaf stage, and slightly varying

    conditions in the greenhouse might have also contributed to

    the decreased lettuce growth in experiment 2 and even more

    pronounced in experiment 3. The reduced SDW determined

    paralleled a tendency toward decreased CFU per rfw 3 weeks

    after seed inoculation. Despite the variability in the growth

    of lettuce plants and CFU per rfw determined 3 weeks after

    seed inoculation, the biocontrol efficiency of strain RU47

    was consistent. However, these factors might have contrib-

    uted to the variable control by the phlD carrying P. fluor-

    escens strains KF36, KS16 and KS74.

    Plant inoculation with bacterial antagonists has been

    reported to influence microbial community structure as

    determined by culture-independent methods that rely on

    amplification of rRNA gene fragments from rhizosphere

    DNA extracts such as PCR-based DGGE (Gotz et al., 2006).

    In other studies, no or only transient changes were observed

    (Lottmann et al., 2000; Scherwinski et al., 2008). In the

    present study, PCR-DGGE analysis enabled us to compare

    the bacterial and fungal community profiles of the three

    different treatments and thus to evaluate the effect of thepathogen R. solani AG1-IB in the presence or absence of

    P. jessenii RU47 on the rhizosphere microbiota. We could

    demonstrate that the pathogen R. solani AG1-IB influenced

    not only the fungal but also the bacterial community

    patterns. The effects of R. solani AG1-IB became more

    pronounced during the experiment for both fungi and

    bacteria. In the presence of RU47, this effect was less strong

    and the fingerprints of the RU471Rs and Ctrl treatment

    formed a joint cluster for bacterial and fungal fingerprints.

    However, the detection of RU47 was hampered in the

    bacterial community patterns due to the complexity of these

    patterns and the presence of ribotypes, which have similar

    electrophoretic mobility as RU47. The complexity of the

    DGGE patterns was reduced with the use of group-specific

    primers, thus enhancing the resolution for the Pseudomonas

    group analyzed by DGGE. The gacA-based Pseudomonas

    DGGE profiles revealed that RU47 successfully established,

    as a band corresponding to the electrophoretic mobility to

    RU47 was found only in the rhizosphere patterns of lettuce

    of the RU471Rs treatment in the gacA-based Pseudomonas

    community patterns. Furthermore, we observed that the

    presence ofR. solani AG1-IB and the inoculation with RU47

    had almost no effect on the Pseudomonas group and that the

    gacA DGGE fingerprints of all treatments, despite a treat-

    ment-dependent clustering, had high similarity among the

    treatments. This observation contradicts the hypothesis that

    organisms that are closely related to the BCA itself are most

    likely to be affected by the BCA due to competition for thesame niches and resources (Winding et al., 2004; Gotz et al.,

    2006). Moreover, the band patterns of the gacA-based

    Pseudomonas community revealed remarkable diversity of

    the gacA gene in the rhizosphere of lettuce plant originating

    from all treatments. As found in this study, a better resolu-

    tion of gacA-based Pseudomonas community fingerprints

    than of 16S-based Pseudomonas community fingerprints

    was of reported by Costa et al. (2007).

    In conclusion, out of the eight in vitro antagonists

    investigated in this study, we found only one promising

    strain: P. jessenii RU47. For this strain, in vitro proteolytic

    activity and siderophore production were observed, while

    chitinolytic, glucanolytic and cellulolytic activities, and

    genes encoding antibiotics such as 2,4-diacetylphloroglucinol

    (2,4-DAPG), phenazine, pyrrolnitrin and pyoluteorin were

    not detected. In vitro production of salicylic acid as side-

    rophores by several resistance-inducing bacteria under low-

    iron conditions has been reported, and its role in the

    induced-systemic resistance (ISR) elicitation process was

    demonstrated in the case of Pseudomonas aeruginosa

    KMPCH (de Meyer et al., 1999). Hence, siderophore pro-

    duction has been suggested to trigger the ISR signal pathway

    in plants (Audenaert et al., 2002; van Loon & Bakker, 2005).

    Considering the strong and consistent suppression of the

    pathogen at very high disease severity by strain RU47 in vivoon lettuce, which is contrary to the weak and rather

    insignificant direct inhibition of R. solani AG1-IB by this

    strain in vitro and the in vitro production of siderophores by

    strain RU47, it is assumed that induction of systemic

    resistance in lettuce is the possible mechanism by which

    strain RU47 could protect lettuce plants against R. solani

    AG1-IB. Nonetheless, its exact mechanism still remains

    unclear and its explanation needs future investigation.

    Strain RU47 did not promote shoot or root biomass of

    lettuce compared with the noninoculated healthy plant in

    the absence of the pathogen. On the basis of this observa-

    tion, we suggest that for biological application under the

    conditions where the strain was tested, it can only be used to

    control bottom rot disease in a soil infested with the

    pathogen and not for a growth-promoting purpose under

    noninfested conditions. However, future experiments under

    field conditions and in different soil types have to show

    whether the RU47 conferred control effect is specific for R.

    solani AG1-IB and specific for lettuce plants or whether

    strain RU47 can also provide protection of lettuce plants

    against other pathogens.

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    Acknowledgements

    This work was supported by grants from DAAD and Gisela

    und Hermann Stegemann-Stiftung to M.F.A., by the

    EU BIOTECH project METACONTROL and the project

    BRA05/021. Furthermore, the support of Angelika Fandrey,

    Guo-Chun Ding and Ilse-Marie Jungkurth is acknowledged.

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