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Article

Selection of Bacterial Strains for Control of Root-Knot Disease Caused by Meloidogyne incognita

by
Varvara D. Migunova
1,*,
Natalia S. Tomashevich
2,
Alena N. Konrat
3,
Svetlana V. Lychagina
3,
Valentina M. Dubyaga
2,
Trifone D’Addabbo
4,
Nicola Sasanelli
4 and
Anzhela M. Asaturova
2
1
A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Leninsky Prospect 33, 119071 Moscow, Russia
2
Federal State Budgetary Scientific Institution, Federal Scientific Center of Biological Plant Protection (FSBSI FSCBPP), 350039 Krasnodar, Russia
3
Federal State Budget Scientific Institution, Federal Scientific Centre VIEV (FSC VIEV) of RAS, Bolshaya Cheryomushkinskaya 28, 117218 Moscow, Russia
4
Institute for Sustainable Plant Protection, CNR, Via G. Amendola 122/D, 70126 Bari, Italy
*
Author to whom correspondence should be addressed.
Microorganisms 2021, 9(8), 1698; https://doi.org/10.3390/microorganisms9081698
Submission received: 30 June 2021 / Revised: 3 August 2021 / Accepted: 6 August 2021 / Published: 10 August 2021

Abstract

:
Root-knot disease caused by Meloidogyne incognita leads to significant crop yield losses that may be aggravated by the association with pathogenic fungi and bacteria. Biological agents can be effectively used against the complex disease of root-knot nematode and pathogenic fungi. In this study, 35 bacterial strains were analyzed for their in vitro nematicidal, antagonistic and growth stimulation activities. Based on results from the in vitro assays, grow-box experiments on tomato and cucumber were carried out with the strain BZR 86 of Bacillus velezensis applied at different concentrations. Effects of B. velezensis BZR 86 on the development of root-knot disease were evaluated by recording root gall index, number of galls and number of eggs in egg masses. Application of B. velezensis BZR 86 noticeably decreased the development of root-knot disease on tomato and cucumber plants, as well as significantly increased growth and biomass of cucumber plants in accordance with bacterial concentration. This study seems to demonstrate that strain B. velezensis BZR 86 could be an additional tool for an environmentally safe control of root-knot disease on horticultural crops.

1. Introduction

Root-knot nematodes (RKNs) are agents of severe root-knot disease (RKND) on many crops [1]. In Russia alone crop losses from RKND caused by the root-knot nematode Meloidogyne incognita Kofoid and White (Chitw.) ranged between 20% and 80% in cucumber and tomato plants cultivated under greenhouse conditions [2]. Symptoms of disease can be aggravated by the presence of bacterial and fungal pathogens using paths of RKNs penetration into plant roots [3,4,5], which means that control of this complex disease requires a suppression of RKNs and plant pathogenic microorganisms in soil, as well as stimulation of plant growth.
One of the environmentally safe methods for plant protection from RKND is application of microorganisms and/or products of their metabolism. Pesticides and growth regulators of microbial origin have proved their significant potential in sustainable agriculture and consequently in the development of green environment [6]. Microbial communities suppress RKNs, and genus Bacillus as a member of these communities functions as a biological agent, significantly decreasing the number of galls and egg masses of RKNs [7].
In particular, a significant role can be played by plant growth-promoting bacteria (PGPB), i.e., soil bacteria associated with plant roots reported for increasing plant resistance to biotic and environmental stresses and stimulating plant growth [8].
Application of PGPB has been repeatedly documented for reducing root-knot nematode infestations [9,10,11,12,13] and enhancing plant growth and yield at the same time [13,14,15,16]. RKND suppression by PGPB may involve different mechanisms such as competition, plant surface colonization, production of nematicidal and antimicrobial compounds (antibiotics, siderophores, hydrolytic enzymes, etc.), enhancement of host defense mechanisms [17,18,19,20].
Within PGPB, the most promising source of root-knot nematode control agents is represented by species of Bacillaceae family, widely occurring in soil and plant aerial parts and roots [21,22]. Most of available commercial products are formulations of Bacillus subtilis and B. amyloliquefaciens [23]. Moreover, Bacillus firmus I-1582 (Bf I-1582) and B. amyloliquefaciens FZB42 (now reclassified as a strain of B. velezensis [24]) have been approved for use against RKNs on vegetable crops in Europe [25]. Mechanisms of suppressiveness of these species to RKNs are related to egg colonization and degradation, as well as to the induction of a plant systemic resistance [26]. Moreover, a commercial formulation based on B. velezensis (Botrybel) is available as biofungicide [27].
The general aim of this study was to evaluate growth stimulation, nematicidal and antagonistic efficacy of bacterial isolates associated with rhizoshere and rhizoplane of plants and select the most promising strain for control of root knot disease. Its objectives were (i) to determine the effects of bacterial isolates on nematodes and phytopathogenic fungi: Fusarium oxysporum, F. graminearum and Rhizoctonia solani, (ii) to analyze the influence of bacterial isolates on development of plants, (iii) to find out if the selected strain can control the root knot disease.

2. Materials and Methods

2.1. Bacterial Strains

All the bacterial strains used in this study were isolated from soil, rhizoplane and rhizosphere of plants from Krasnodar region (Russian Federation) (Table S1). The isolation was done using the Warcup method and dilution technique [28]. The 35 strains tested in the in vitro assays were selected from the Bioresource Collection “State Collection of Entomoacariphages and Microorganisms” of Federal Scientific Center of Biological Plant Protection (Bioresource Collection of FSCBPP) according to their lipase, chitinase and protease activity (Table S2) [29,30] as enzymatic activities may be involved in the control efficacy on plant parasitic nematodes [31]. In this research, we used the scientific equipment «Technological line for obtaining microbiological plant protection products of a new generation» (https://ckp-rf.ru/usu/671367/ (accessed on 1 July 2021)). Some of the isolates were identified by standard microbiological characterization [32] followed by 16S rRNA gene sequence analysis [33], full genome sequence was obtained for the strains that had demonstrated high nematicidal and antagonistic activities, namely: BZR 86 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA677970, (accessed on 12 November 2020)), BZR 277 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA677969, (accessed on 12 November 2020)) [34] and BZR 517 (https://www.ncbi.nlm.nih.gov/assembly/GCA_009683155.1#/def, (accessed on 12 November 2020)) [35]. The multiple alignment of concatenated amino acid sequences of 120 bacterial single-copy marker genes was carried out using the Genome Taxonomy Data Base (GTDB-Tk v.1.3.0 toolkit software) by RefSeq and Genbank genomes (U.S.A.) [36]. This multiple alignment was used to construct the maximum likelihood phylogenetic tree using PhyML v.3.3 [37], using default parameters. The level of support for internal branches was assessed using the Bayesian test in PhyML.

2.2. Antagonistic Activity against Phytopathogenic Fungi

Antagonistic activity of bacterial strains was determined by dual-culture plate method on potato glucose agar and King B medium [38]. A mycelial plug of Fusarium oxysporum, F. graminearum or Rhizoctonia solani was put in a Petri dish and a bacterial strain was plated at the distance of 6 cm from fungus. Control plates contained the fungus and bacterium alone. Cultures were incubated for 20 days at 28 °C. The growth of colonies was checked every day. The presence of sterile zone and its size, as well as fungal color, density and direction of mycelial growth were registered. Antagonistic activity was calculated according to the formula: % inhibition = [1 − (Fungal growth/Control growth)] × 100 [39].

2.3. In Vitro Nematicidal Activity

The 35 bacterial strains were grown in liquid medium 925 [40], having the following composition: 3 g L−1 K2HPO4, 1 g L−1, NaH2PO4, 1 g L−1 NH4Cl, 0.3 g L−1 MgSO4, 10 g L−1 sucrose, 2 g L−1 peptone, 1 L water. Fungivorous nematode Paraphelenchus tritici was used as model organism for the preliminary screening of nematicidal activity. Nematode population was grown on the fungus Alternaria tenuis in Petri dishes and then extracted by the Baermann funnel technique [41,42]. A 0.5 mL of the P. tritici water suspension, containing 50 nematode specimens, was added to each well of 24-well plates and then added with a 0.5 mL of each bacteria suspension. The test was done in five replicates. Nematode mortality was detected microscopically after 24 h.
Bacterial strains’ activity on the second-stage juveniles (J2) of M. incognita was determined using bacterial suspensions grown in liquid medium 925 and their supernatants. Supernatants were obtained by centrifugation of bacterial suspension at 10,000 rpm for 10 min and did not contain any living bacterial cells. Bacterial suspension at concentration 108 CFU mL−1 was diluted 10, 50, 100, 1000 and 10,000 times. A 0.5 mL amount of the obtained preparation of tested bacteria or supernatants was pipetted into 24-well plate with 0.5 mL of viable J2 of M. incognita (100 ind.). Nematicidal effect was monitored after 24 and 48 h, after which nematodes were placed in sterile water for further 24 h to check for possible nematostatic effect. J2 mortality was calculated according to the the Schneider Orelli’s formula: Corrected % Mortality = ([mortality % in treatment − mortality % in control]/[100 − mortality % in control]) × 100 [43]. The test was done twice in eight replicates.

2.4. In Vitro Activity on Plant Growth

Thirty wheat seeds (cv. Raduga) were placed in Petri dishes with gauze, treated with 15 mL of bacterial suspensions and grown for 72 h at 25 °C. Effects of bacterial strains on plant growth was evaluated by the germination index (GI), i.e., the ratio between length of treated wheat seedlings and non-treated seedlings.

2.5. Pot Experiments

2.5.1. Effects on Wheat Plants

Seeds of winter wheat (cv. Batko) not sterilized were soaked for 2 h in two-day bacterial cultures 109 CFU mL−1 obtained by washing bacteria from Petri dishes followed by adding tap water to reach the volume of 50 mL. After 2 h, seeds were removed from bacterial suspensions and dried on filter paper. After 20–24 h, 30 seeds were sown in each of the three 0.45 L pots filled with sterilized sand. In total 90 seeds were planted, of which 80 germinated. The pots were stored in greenhouse at 24–28 °C and 11,000 Lux. The length of roots, height of stems and plant biomass were measured after 14 days. The testing of root length and stem height was done in 80 replicates. As for the biomass of the plants, we measured it by weighing each of the three pots because of the small size of individual plants. The experiment was performed twice.

2.5.2. Effects on RKND and Plant Growth in Grow-Box Experiment

Strain BZR 86 was selected for the experiments in soil infested by RKN. A 1:1 mixture of peat and sand was poured in 0.18 L plastic pots, which were then sown with three–week-old cucumber seedlings cv. Kurazh (parthenocarpic) with three true leaves; the second test was done with 68-day-old tomato seedlings cv. Balkonnoe chudo. Two separated pot experiments with cucumber and tomato plants were conducted under grow-box conditions in All-Russian Scientific Research Institute for Fundamental and Applied Parasitology of Animals and Plants (Moscow, Russia). A M. incognita population, originally collected in Krasnodar region (Russian Federation) was reared on tomato (cv. Balkonnoe chudo) roots for 70 days, after which nematode egg-masses were picked and incubated in sterile water at 25 °C. The emerged J2 were pipetted into each pot at a density of 150 J2/pot. A bacterial culture of B. velezensis BZR 86, resulted as the most effective strain in the in vitro screenings, was prepared by fermentation in flasks in the medium 925. The culture was maintained for 45 h at 29 °C under shaking (190 rpm), as to reach about 108–109 CFU mL−1 concentration. A 50 mL volume of bacterial suspension diluted in tap water was added to each pot, as to reach three different test concentrations: maximal: (3–7) × 106 CFU mL−1 of soil substrate, medium: (3–7) × 105 CFU mL−1 of soil substrate and minimal: (3–7) × 104 CFU mL−1 of soil substrate. Concentrations of bacterial suspensions were determined by counting the colony forming units (CFU) on Luria–Bertrani agar (Sigma). Non-treated soil, either infested and non-infested with M. incognita, and infested soil treated with the chemical standard Phytoverm (avermectin C, 2 gL−1) were used as controls. Seven replicates were provided for each treatment.
Pots were maintained at 25 °C under grow-box conditions for two months. At the end of the experiments, the height, number of leaves, ovaries, weight of aerial part and root biomass and root volume (as water displacement) were measured on each plant. Effects of B. velezensis BZR 86 on RKN infestation were determined by estimating the root gall index (RGI) according to a 0–5 scale, in which: 0 = no galls; 1 = 0.1%–10%; 2 = 11%–35%; 3 = 36%–70%; 4 = more than 70%; 5 = dead plant [41], as well as by microscopically counting number of eggs in egg masses.

2.6. Statistical Analysis

Data from the experiments were subjected to analysis of variance (ANOVA) and means compared by Duncan’s multiple range test (p < 0.05). All statistical analyses were performed using Microsoft Excel (standard deviation) and Statistica Version 13.5.0.17.T. (ANOVA, normality of data and Duncan’s multiple range test).

3. Results

3.1. Characterization of Bacterial Strains

Nematicidal activity varied from 0% to 100% among the 35 bacterial strains, though 46% showed a nematicidal activity higher than 85% (Table 1). The antagonistic activity against phytopathogenic fungi varied from 0 to 58% though only 14 of the studied strains showed a simultaneous antagonistic activity against Fusarium graminearum, F. oxysporum and Rhizoctonia solani higher than 30%. GI values ranged from 0.22 to 1.23, but only 28% of strains demonstrated a growth stimulating effect (GI > 1).
Only four strains simultaneously presented a high nematicidal effect (100%), an antagonistic activity against F. graminearum, F. oxysporum and R. solani (>30%) and a growth stimulation effect (GI > 1). These four strains were Bacillus species identified as BZR 86, BZR 623, BZR 261 and BZR 441.
In the pot experiment on wheat, significant effects on plant root length and height occurred for strains BZR 441, BZR 623 and BZR 261 (Table S3, Table 2). These effects were both negative (strain BZR 441) and positive (strains BZR 623 and BZR 261). Conversely, no significant difference from the control was found for BZR 86.
Phylogenetic tree based on the whole genome sequencing of 120 conserved marker genes shows that strain BZR 86, selected according to results from the in vitro screenings, distinctly clusters with B. velezensis strain NRRL B-41580 (B. velezensis GCF 001461 825.1 on the phylogenetic tree); the average nucleotide identity (ANI) value is 97.59 % (Figure 1). The strain BZR 86 is related more closely to B. siamensis and B. amyloliquefaciens than to B. subtilis (as was determined by 16S rRNA).
Figure 2 presents nematicidal activity of B. velezensis BZR 86 against J2 of M. incognita. LD50 and LD99 of J2 were 0.8 × 106 and 6.8 × 106 CFUmL−1, respectively.
Its antagonistic activity against F. graminearum, F. oxysporum and R. solani was 45.9%, 32.4% and 45.8%, respectively (Table 1, Figure 3).

3.2. Influence of B. velezensis BZR 86 on development of the Root Knot Disease

In the non-treated control, an attack of M. incognita led to a moderate damage both on cucumber and tomato plants, as root gall index varied from 2.6 to 2.8 (Table 3 and Table 4). The experiments showed that B. velezensis BZR 86 influenced the development of root-knot disease on cucumber and tomato plants, reducing root gall index, number of galls and eggs in egg masses when applied to soil substrate without significant differences from chemical control Phytoverm (Table 3 and Table 4).
In the experiment on cucumber, the number of galls and the root gall index were significantly lower than at 7 × 104 and 7 × 106 CFU mL−1 of substrate concentrations of B. velezensis BZR 86. All three concentrations of B. velezensis BZR 86 significantly reduced the number of eggs in egg masses (Table 3). The application of bacteria to soil substrate influenced the growth and development of cucumber plants. At the end of the experiment, considerable difference (almost double) in height was detected between the application of B. velezensis BZR 86 at 7 × 106 CFU mL−1 of substrate concentration and control, Phytoverm and non-infested soil. Moreover, at the highest concentration of B. velezensis BZR 86, the number of plant leaves was significantly greater compared to Phytoverm and non-infested control.
By application of bacterium at the highest concentration, the biomass of the aerial part of cucumber plants increased twice compared with control, chemical standard and that at the lowest concentration (Table 5).
In the experiment on tomato, application of B. velezensis BZR 86 almost completely eliminated the symptoms of RKND at all concentrations. Only single galls were formed on roots. At the lowest concentration of B. velezensis BZR 86 (3 × 104 CFU mL−1 of substrate), the gall numbers tended to increase, but the difference from other bacterial concentrations was not statistically significant (Table 4).
Application B. velezensis BZR 86 at 3 × 106 and 3 × 105 CFU mL−1 of substrate concentrations resulted in a significant increase in tomato root system biomass compared to chemical standard Phytoverm and non-infested soil, whereas this effect was absent at the lowest bacterium concentration. At the medium concentration of bacterium (3 × 105 CFU mL−1 soil), tomato root volume was significantly greater than at the lowest concentration and also than Phytoverm. It exceeded that parameter for the variant without RKN by four times (Table 4).

4. Discussion

The problem of root-knot disease on cucumber and tomato plants is really pressing in Russia, as most Russian farmers use soil substrates frequently infested by root-knot nematodes rather than hydroponics. At present, there are no microbial products registered against root-knot disease in the Russian Federation [44]. Chemical pesticide Phytoverm does not help to solve the problem when plant roots are strongly affected by the disease resulting in premature death of plants.
Bacillus species have been screened for nematicidal activity against RKNs [15,45,46], as well as for antifungal properties [47,48,49] and growth stimulation activity [50,51]. A number of studies documented a simultaneous activity of Bacillus strains against RKNs and fungi [19], as well as against RKNs or fungal phytopathogens, and its effect on plant growth enhancement [11,16,52]. In this study, we analyzed all these three parameters in the in vitro experiment, so as to select the most promising strain, i.e., B. velezensis BZR 86 isolated from winter wheat rhizosphere.
Previous research has shown a significant influence of genus Bacillus on mortality of juveniles of the root-knot nematode M. incognita [15,43,44,45,46,53,54]. Among others, B. velezensis had nematicidal activity against M. incognita [11,55,56,57]. In vitro B. velezensis BZR 86 caused 98% mortality of M. incognita J2 following a 24-h exposure to a 9 × 107 CFU mL−1 bacterial density [55]. In our study the nematicidal effect of B. velezensis BZR 86 was also confirmed on cucumber and tomato in soil, in agreement with previous studies that reported a significant suppressiveness of Bacillus strains on root-knot nematode eggs, J2 and root galls on cucumber [10,55], tomato [16,17,53,58], eggplant [15,59] and hendi [60]. The mechanisms underlying the RKN suppression by Bacillus strains can be different. Thus Burkett-Cadena et al. [17] suggested the production of antibiotic metabolites as responsible for soilborne pathogen suppression by B.subtilis GB03, while an induced systemic resistance (ISR) has been suggested as the main mechanism of biocontrol activity of B. amyloliguefaciens strain FZB42 [61].
Induced systemic resistance could also be a possible mechanism of B. velezensis BZR 86 suppressiveness on M. incognita, as some Bacillus strains were found to release jasmonic acid, known for reducing M. incognita infestation of tomato and cowpea by triggering plant defense against the root-knot nematode [61,62,63,64]. In good agreement, Toral et al. [63] reported significant increases in salicylic and jasmonic acid levels in strawberry plants treated with Bacillus velezensis XT1.
Bacillus strains were also found to produce nematicidal and antimicrobial compounds, including antibiotics, cyclic lipopeptides, polyketides and bacteriocins [23,65]. Since we observed a significant nematicidal effect of B. velezensis BZR 86 against M.incognita also in the in vitro assays, we may suppose that secondary metabolites of this strain could have a role in controlling RKND also in soil. Studies on genome of B. velezensis FZB 42 revealed that 13 gene clusters are responsible for the synthesis of predicted antimicrobial metabolites or volatile compounds [66].
Plant growth stimulation by B. velezensis BZR 86 observed in our experiments on cucumber and tomato is in good agreement with growth increase observed on olive trees treated with B. velezensis OEE1 [67]. Moreover, new isolated Bacillus strains were already stated for enhancing crop growth and productivity [65] and improving soil health [50,68,69]. Some bacilli are also known to fix N2 and soluble phosphate [70,71], thus promoting circulation of plant nutrients and, consequently, increasing crop growth and yield. Genes that contribute to plant growth promotion provide the possibility to use B. velezensis as a biofertilizer. It is known that bacilli produce plant growth promoting phytohormons (cytokinin, auxin) and volatile organic compounds (aceton (3-hydroxy-2-butanone), 2,3,-butanediol) [52,72,73]. The significant increase in the root volume and root biomass of cucumber and tomato plants may be also due to locally reduced ethylene concentrations and increased assimilation of metal ions, such as iron, through the activation of plant’s own iron acquisition mechanisms by members of the Bacillaceae [21]. Moreover, Qin et al. [68] documented a significant effect of B. amyloliguefaciens LS-60 on the structure of bacterial community associated with cucumber seedling. This change of community structure resulted in the dominance of genera Bacillus, Rhodanobacter, Paenibacillus, Pseudomonas, Nonomuraea and Agrobacterium, known for great impacts on soil nutritional composition, mineral metabolism and antibiotic production, thus providing an increased content of available nitrogen, phosphorus and potassium in soil substrate.
The number of bacteria in soil varies from 107 to 109 CFU per gram of soil [21]. We inoculated the bacterial formulations into soil substrate at concentrations far lower (104–106 CFU mL−1 of soil substrate) in order to minimize the effect on the ecosystem. However, future investigations are needed to analyze the mechanisms involved in the interaction among rhizospheric bacteria, plants and other components of soil ecosystem. There was no significant direct correlation between the concentration of bacterial formulations and development of RKND.
Our own results and data of other researchers [29,47,48,49,64,67,74,75,76,77] demonstrated a strong antagonistic activity of B. velezensis to the pathogenic fungi Fusarium graminearum, F. oxysporum and R. solani, thus confirming this species as a very promising biocontrol agents [24,78,79]. Practical value of this antagonism has been proved by the use of B. velezensis in BioYield commercial formulation applied in management of soil-born pathogens and M. incognita on tomato [11].
The data obtained in this and further research will contribute to selection and comprehensive study of new biocontrol strains. They may form the basis for plant protection against plant parasitic nematodes as an alternative control measure. This also implies serious commercial potential, as the demand for such formulations is growing while global supply remains insufficient.

5. Conclusions

Selection of bacterial strains for control of RKND should be comprehensive and include analysis of nematicidal, fungicidal and growth stimulation activities. A number of bacterial strains with these characteristics are already present in the Bioresource Collection of FSCBPP that should be considered a valuable source of new innovative products for sustainable agricultural systems.
Bacterial strain B. velezensis BZR 86 showed to have a multiple effect on the complex of plants, RKNs and phytopathogenic microorganisms and, therefore, could be a potential candidate for the production of new biostimulants with a side suppressive activity on RKND. However, mechanisms of this multiple activity should be further investigated in detail, as to improve effects by optimizing techniques and timing of application.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/microorganisms9081698/s1, Table S1: Bacterial strains collected from Krasnodar region used in this study; Table S2: Enzymatic activity of bacterial strains from the Bioresource Collection of FSCBPP; Table S3: Effect of bacterial strains on growth and biomass of winter wheat plants in pot-experiment.

Author Contributions

Conceptualization, V.D.M. and A.M.A.; A.N.K. and S.V.L. performed experimental work with nematodes and plants; N.S.T. prepared figures and statistical analysis; V.M.D. conducted the experiments with microorganisms; writing—original draft preparation, V.D.M.; writing and editing, N.S. and T.D.; funding acquisition, A.M.A. All authors have read and agreed to the published version of the manuscript.

Funding

The study of bacterial strains was carried out within the framework of the State Assignment of the Ministry of Science and Higher Education of the Russian Federation, № 0686-2019-0013. DNA sequencing of the strain BZR 277, BZR 86 and the construction of the phylogenetic tree based on the whole genome sequencing was supported by a project of the Kuban Science Foundation (grant MFI-20.1/68).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is contained within the article or Supplementary Material.

Acknowledgments

We thank Nikolay V. Ravin for helping with genome analysis. We express our gratitude to Anastasia Shchukovskaya for providing the culture of Paraphelenchus tritici.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Maximum likelihood phylogenetic tree constructed using amino acid sequences of 120 conserved marker genes. The tree was constructed using PhyML v.3.3.
Figure 1. Maximum likelihood phylogenetic tree constructed using amino acid sequences of 120 conserved marker genes. The tree was constructed using PhyML v.3.3.
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Figure 2. Nematicidal effect of Bacillus velezensis BZR 86 on J2 of Meloidogyna incognita.
Figure 2. Nematicidal effect of Bacillus velezensis BZR 86 on J2 of Meloidogyna incognita.
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Figure 3. Antagonistic effect of Bacillus velezensis BZR 86 on Fusarium graminearum. (A)—control, (B)—Bacillus velezensis BZR 86.
Figure 3. Antagonistic effect of Bacillus velezensis BZR 86 on Fusarium graminearum. (A)—control, (B)—Bacillus velezensis BZR 86.
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Table 1. Germination index, nematicidal and antagonistic effects of bacterial strains selected from the Bioresource Collection of FSCBPP.
Table 1. Germination index, nematicidal and antagonistic effects of bacterial strains selected from the Bioresource Collection of FSCBPP.
Strain 1Nematicidal Activity (%)GI 2Antagonistic Activity on the 15th Day (%)
F. oxysporumR. solaniF. graminearum
BZR 1892 ± 3.1 3 ij 40.84 ± 0.06 efg0 ± 0 k0 ± 0 k53.9 ± 2.2 bcd
BZR 5963 ± 0 hi0.86 ± 0.23 efgh0 ± 0 k28 ± 1.3 ij52.9 ± 1.4 cd
BZR 86100 ± 5 j1.18 ± 0.06 mn32.4 ± 2 f45.8 ± 0.8 bcd45.9 ± 0.8 h
BZR 1484 ± 0 ef0.78 ± 0.08 def42.2 ± 0.8 a48.4 ± 0.8 a41.5 ± 1.4 ij
BZR 187100 ± 0 j0.94 ± 0.08 ghij40 ± 1.3 c43.1 ± 1.5 e32.2 ± 0.8 mn
BZR 24196 ± 0 j0.87 ± 0.08 efghi41.8 ± 0.8 abd43.1 ± 3.4 e41 ± 0.8 ij
BZR245 F12 ± 0.6 bcd0.44 ± 0.09 b25.8 ± 2.0 i25.8 ± 2.0 j28 ± 0.8 o
BZR 261100 ± 0.5 j1.10 ± 0.09 klmn36.4 ± 0.8 e46.7 ab39.5 ± 0.8 j
BZR 27792 ± 0 ij0.22 ± 0 a40.9 ± 0.8 abcd44 ± 2.7 cde42.9 ± 1.4 i
BZR 33770 ± 0 g0.67 ± 0.05 cd0 ± 0 k0 ± 0 k52.5 ± 0.8 cd
BZR 34817 ± 0 cd0.73 ± 0.10 cde24 ± 2.3 j46.7 ab35.9 ± 2.5 kl
BZR 3670 ± 0 a1.00 ± 0 hijkl25.3 ± 2.3 ij28.4 ± 2.0 i30.8 ± 2.2 n
BZR 41382 ± 0 ij1.20 ± 0.07 n0 ± 0 k0 ± 0 k31.8 ± 0.8 n
BZR 41616 ± 1.7 cd0.93 ± 0.10 ghij25.8 ± 0.8 i25.8 ± 0.8 j28.3 ± 0.8 o
BZR 41712 ± 0 de1.02 ± 0.05 ijkl39.6 ± 0.8 c40 ± 3.5 f39.9 ± 1.4 j
BZR 43010 ± 0 bc1.02 ± 0.09 ijkl0 ± 0 k0 ± 0 k42.4 ± 0.8 i
BZR 4367 ± 0 cd0.84 ± 0.29 efg28 ± 1.3 gh32 ± 2.3 h50 ± 1.4 ef
BZR 441100 ± 0 j1.06 ± 0.08 jklm39.1 ± 2.0 c43.6 ± 0.8 de54 ± 1.4 bc
BZR 455100 ± 0 j1.13 ± 0.07 lmn0 ± 0 k0 ± 0 k58.1 ± 2.2 a
BZR 46293 ± 11.5 ij1.00 ± 0 hijkl42.2 ± 0.8ab47.1 ± 0.8 ab36.9 ± 0.8 k
BZR 47292 ± 3.5 ij0.68 ± 0.07 cd0 ± 0 k0 ± 0 k48.5 ± 1.4 fg
BZR 480100 ± 0 j1.00 ± 0 hijkl0 ± 0 k0 ± 0 k34.3 ± 1.4 lm
BZR 512100 ± 0 j0.63 ± 0 c0 ± 0 k0 ± 0 k48 ± 0.8 fg
BZR 51780 ± 0 hi0.67 ± 0.17 cd36.9 ± 0.8 e43.6 ± 0.8de52.5 ± 0.8 cd
BZR 519100 ± 0.5 j0.94 ± 0.08 ghij40 ± 0 cd46.2 ± 4.1 abc54.9 ± 1.6 bc
BZR 523−184 ± 4.2 hi0.89 ± 0 fghi26.7 ± 0 hi43.6 ± 0.8 de51.5 de
BZR 523-216 ± 0 cd0.89 ± 0.11 fghi0 ± 0 k0 ± 0 k48.5 ± 1.4 fg
BZR 528100 ± 0 j0.89 ± 0.06 fghi0 ± 0 k0 ± 0 k52.5 ± 1.4 cd
BZR 53811 ± 2.5 bc0.75 ± 0 cdef0 ± 0 k0 ± 0 k45.3 ± 1.4 h
BZR 623100 ± 0.6 j1.10 ± 0.09 klmn40.4 ± 0.8 bcd48.4 ± 0.8a41 ± 0.8 ij
BZR 658100 ± 0 j1.23 ± 0.09 n0 ± 0 k0 ± 0 k39.5 ± 0.8 j
BZR 6739 ± 0 de0.96 ± 0.06 ghijk42.2 ± 2.0 ab47.1 ± 0.8 ab47.1 ± 1.4 gh
BZR 85436 ± 0 f0.86 ± 0.21 efgh39.1 ± 0.8 c48 ± 1.3 ab55.4 ± 0.8 b
BZR 86296 ± 0 j0.78 ± 0 def28.4 ± 0.8 g34.7 ± 1.3 g41.9 ± 0.8 ij
BZR 87377 ± 19.6 gh1.23 ± 0.09 n0 ± 0 k0 ± 0 k52.9 ± 1.4 cd
1 Accession number of bacteria in the Bioresource Collection of FSCBPP; 2 GI—germination index; 3 average ± SD of eight replicates; 4 data flanked in each column by the same letters are not statistically different according to Duncan’s multiple range test (p = 0.05).
Table 2. Effect of bacterial strains on growth and biomass of winter wheat plants (cv. Batko) in the pot experiment.
Table 2. Effect of bacterial strains on growth and biomass of winter wheat plants (cv. Batko) in the pot experiment.
TreatmentPlant Height
(cm)
Root Length
(cm)
Weight of Dry Biomass
(g)
Aerial PartsRoots
Control14.6 ± 1.8 1 a 218.3 ± 3.7 a0.11 ± 0 a0.15 ± 0.01 d
BZR 44114.8 ± 1.7 a16.4 ± 2.9 b0.11 ± 0.01 a0.13 ± 0.01 bcd
Control14.9 ± 1.6 a14.6 ± 2.1 c0.11 ± 0.01 a0.12 ± 0.02 ab
BZR 62315.8 ± 1.9 b14.5 ± 3.1 c0.12 ± 0.01 a0.14 ± 0.01 cd
Control14.8 ± 1.9 a14.6 ± 3.2 c0.11 ± 0.01 a0.10 ± 0.01 a
BZR 8615.1 ± 1.7 a14.5 ± 3.0 c0.11 ± 0.01 a0.13 ± 0.01 bcd
Control14.8 ± 1.9 a14.6 ± 3.2 c0.11 ± 0 a0.10 ± 0.01 a
BZR 26114.7 ± 1.9 a17.0 ± 3.6 b0.11 ± 0 a0.13 ± 0.01 bc
1 Each value is an average ± SD of six replicates (30 plants/replicate) from two independent experiments; 2 data followed by the same letters are not statistically different according to Duncan’s multiple range test (p = 0.05).
Table 3. Influence of Bacillus velezensis BZR 86 on the development of root-knot disease of cucumber (cv. Kurazh).
Table 3. Influence of Bacillus velezensis BZR 86 on the development of root-knot disease of cucumber (cv. Kurazh).
TreatGalls/RootEggs/Egg MassRoot Gall Index
(1–5)
Control218 ± 58.6 1 c 2316 ± 41.9 a2.6 ± 1.1 b
Phytoverm73 ± 13.2 ab191 ± 19.0 b1 ± 0.6 a
BZR 86, 7 × 106 CFU mL−186 ± 16.8 ab207 ± 36.1 b1.4 ± 0.9 a
BZR 86, 7 × 105 CFU mL−1141 ± 31.8 bc177 ± 24.4 b1.8 ± 0.5 ab
BZR 86, 7 × 104 CFU mL−165 ± 16.0 ab224 ± 33.9 b1.64 ± 0.7 a
1 Each value is an average ± SD of seven replicates. 2 Data flanked in each column by the same letters are not statistically different according to Duncan’s multiple range test (p = 0.05).
Table 4. The influence of Bacillus velezensis BZR86 on the growth and infestation of Meloidogyne incognita on tomato (cv. Balkonnoe chudo).
Table 4. The influence of Bacillus velezensis BZR86 on the growth and infestation of Meloidogyne incognita on tomato (cv. Balkonnoe chudo).
TreatmentHeight
(cm)
N° LeavesPlant Biomass
(g)
Root Volume
(mL)
Root Gall Index
(0–5)
Galls/Root
Aerial PartRoots
Non-infested control16.2 ± 2.4 1 a 212 ± 1.0 ab5.0 ± 1.6 a1.0 ± 0 d1.2 ± 0.4 c--
Infested control25.3 ± 2.3 b15 ± 1.9 b8.8 ± 2.2 ab3.5 ± 1.0 ab4.0 ± 0.8 b2.8 ± 1.0 b81 ± 10.1 b
Phytoverm20.0 ± 3.4 ab12 ± 0.9 a9.2 ± 1.5 b2.2 ± 0.8 c2.8 ± 1.0 a0.1 ± 0 a3 ± 1.5 a
BZR 86, 3 × 106 CFU mL−124.0 ± 3.9 b12 ± 2.0 ab10.8 ± 1.0 b3.8 ± 1.0 b3.5 ± 0.6 ab0.1 ± 0.1 a2 ± 1.7 a
BZR 86, 3 × 105 CFU mL−123.2 ± 1.2 b15 ± 3.7 ab9.7 ± 2.0 b3.5 ± 0.5 ab4.0 ± 0.6 b0.1 ± 0.1 a1.2 ± 0.8 a
BZR 86, 3 × 104 CFU mL−121.3 ± 5.3 ab15 ± 2.9 ab8.1 ± 1.2 ab2.4 ± 1.0 ac2.9 ± 1.1 a0.3 ± 0.4 a8 ± 2.7 a
1 Each value is an average ± SD of seven replicates. 2 Data flanked in each column by the same letters are not statistically different according to Duncan’s multiple range test (p = 0.05, n = 7).
Table 5. The influence of Bacillus velezensis BZR86 on the growth and development of cucumber plants (cv. Kurazh).
Table 5. The influence of Bacillus velezensis BZR86 on the growth and development of cucumber plants (cv. Kurazh).
TreatmentHeight
(cm)
N° LeavesBiomass Weight
(g)
Root Volume
(mL)
Aerial PartsRoots
Non-infested
control
51 ± 10.9 1 a 222 ± 4.1 a10.9 ± 1.2 ab4.2 ± 1.5 a7.6 ± 2.2 b
Infested control48 ± 10.4 a22 ± 5.7 ab6.3 ± 2.0 a4.1 ± 2.1 a3.1 ± 1.6 a
Phytoverm44 ± 8.7 a22 ± 4.2 a6.1 ± 3.8 a3.4 ± 1.7 a6.0 ± 2.4 ab
BZR 86, 7 × 106
CFU mL−1
92 ± 4.2 b27 ± 1.8 b12.9 ± 3.1 b6.6 ± 2.1 a6.0 ± 2.8 ab
BZR 86, 7 × 105
CFU mL−1
57 ± 12.7 a24 ± 3.2 ab9.6 ± 2.6 ab7.1 ± 1.5 a6.4 ± 2.4 ab
BZR 86, 7 × 104
CFU mL−1
50 ± 13.7 a22 ± 3.4 ab6.9 ± 2.8 a4.7 ± 1.7 a5.4 ± 1.5 ab
1 Each value is an average ± SD of seven replicates. 2 Data flanked in each column by the same letters are not statistically different according to Duncan’s multiple range test (p = 0.05, n = 7).
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Migunova, V.D.; Tomashevich, N.S.; Konrat, A.N.; Lychagina, S.V.; Dubyaga, V.M.; D’Addabbo, T.; Sasanelli, N.; Asaturova, A.M. Selection of Bacterial Strains for Control of Root-Knot Disease Caused by Meloidogyne incognita. Microorganisms 2021, 9, 1698. https://doi.org/10.3390/microorganisms9081698

AMA Style

Migunova VD, Tomashevich NS, Konrat AN, Lychagina SV, Dubyaga VM, D’Addabbo T, Sasanelli N, Asaturova AM. Selection of Bacterial Strains for Control of Root-Knot Disease Caused by Meloidogyne incognita. Microorganisms. 2021; 9(8):1698. https://doi.org/10.3390/microorganisms9081698

Chicago/Turabian Style

Migunova, Varvara D., Natalia S. Tomashevich, Alena N. Konrat, Svetlana V. Lychagina, Valentina M. Dubyaga, Trifone D’Addabbo, Nicola Sasanelli, and Anzhela M. Asaturova. 2021. "Selection of Bacterial Strains for Control of Root-Knot Disease Caused by Meloidogyne incognita" Microorganisms 9, no. 8: 1698. https://doi.org/10.3390/microorganisms9081698

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