Enhancement of Bacterial Wilt Resistance and Rhizosphere Health in Tomato Using Bionanocomposites

Document Type : Research paper

Authors

1 Jomo Kenyatta University of Agriculture and Technology

2 Karatina University, Kagochi, Karatina, Nyeri, Kenya

Abstract

Biological control agents are useful components in the enhancement of plant disease resistance and improvement of soil properties. Effect of biological control agents (BCAs) as a disease control method in plants is hampered by their vulnerability to environmental and edaphic conditions. This study entailed the use of chitosan-silica nanocomposites for delivery of BCAs. Effect of BCAs-nanocomposite complexes (bionanocomposites) on resistance of tomato plants to bacterial wilt, mycorrhizal root colonization and rhizosphere soil properties were investigated. Replacement of mesoporous silica nanoparticles (MSN) in the nanocomposite with nano synthesized clay was also assessed on disease resistance. Tomato seeds and seedlings were pre-treated using bionanocomposites and then inoculated by Ralstonia solanacearum isolated from infected tomato plants in a greenhouse. Bionanocomposites treatment of tomato plants caused a significant increase (P≤0.05) in the level of pathogenesis-related biochemicals such as chitinase and glucanase. Furthermore, beneficial microbial colonization was significantly (P≤0.05) induced in roots treated with the bionanocomposites. Wilting incidence and symptoms were reduced by over 50% when bionanocomposites were used. There was no significant effect (P≤0.05) on induced host plant resistance when mesoporous silica nanoparticles (MSN) were substituted with nanoclay particles. Therefore, due to ease of availability with no significant (P≤0.05) difference in efficacy between the nanoparticles, replacement of MSN with nanoclay in synthesis of the bionanocomposites is recommended. We argue that substitution of nanoclay with MSN makes the process of synthesizing the bionanocomposites sustainable.

Keywords


Introduction

Application of chemical pesticides against Ralstonia solanacearum is an infective control strategy mainly due to R. solanacearum variability (Agrios, 2005). Excessive use of pesticides causes loss of efficacy due to the pathogen variability. Excessive applications of pesticides also lead to residue toxicity and environmental pollution (Noor, 1999; Christos et al., 2011). Furthermore, application of pesticides after appearance of wilt symptoms is ineffective since the pathogen is highly fastidious which make it hard to control the pathogen after infection. In addition, most of the chemicals used for soil fumigation have been banned by the World Health Organization through various commitments such as the Kyoto protocol of 2005 (Christos et al., 2011; Karungi et al., 2011). The export markets have also introduced stringent conditions on minimum and maximum residue level of chemicals (KHDP, 2007; Karungi et al., 2011; KHCP, 2012). Therefore, an attempt to develop an effective and environmentally friendly method against pathogen is required. This could be a pre-infection package which can be applied before infection of plants by the pathogen (Jach et al., 1995; Maksimov et al., 2011).

Although using of biocontrol agents (BCAs) is environmentally friendly, increase plant productivity and improve soil structure, application of these agents is limited by i)harsh environmental conditions ii) reduced potency during storage and iii) inability to reach the target sites after application. Combination of biocontrol agents with other materials is required to increase efficacy, vitality and effective delivery within the plant system (Algam et al., 2010; Nguyen and Ranamukhaarachchi, 2010; Soad et al., 2013). Nanocomposites have the potential for delivery of BCAs due to their ease of fuctionalization, large surface area for adsorption and ability to penetrate in epithelial layers. Chitosan and silica nanoparticles are preferred because of their non-toxic property, capacity of enhancing host plant resistance and ease of assimilation by root hairs. These additives will increase the level of adsorbed materials and naturally deliver them to the host plant. The chitosan-silica nanocomposites also induce other effects in plants such as increased yield and elicitation of resistance (Helander et al., 2001). Previous work in this study showed compatibility and synergic effect when plants inoculated with microbes and applied together with chitosan-silica nanocomposites (Dennis et al., 2016). In this study we attempted to investigate the enhancement of bacterial wilt resistance in tomato plants by using of bionanocomposites.

 

Materials and Methods

Materials including mesoporous silica nanoparticles (MSN), acetic acid, NaOH pellets, tri-poly phosphate (TPP) obtained from Sigma Aldrich. Biocontrol agents; Glomus mosseae was obtained from Juanco Co. Ltd, effective micro-organisms were obtained EM Technologies Co. Ltd, Bacillus subtilis and Trichoderma viridae were sourced from Real IPM. Ralstonia solanacearum-phage and Ralstonia solanacearum were isolated from an infested greenhouse soil and tomato respectively. Chitin was obtained from Laborex and nutrient agar, potato dextrose agar, master mix PCR kit and primers were obtained from Bioneer Ltd.

 

Preparation of bionanocomposites

Chitosan immobilized silica nanocomposite were synthesized by use of physisorption process (Dennis et al., 2016). The nanocomposites were used for adsorbing biocontrol agents including: Bacillus subtilis, Glomus mosseae, Trichoderma viride, R. solanacearum phage and effective micro-organisms (EM). The microbes were cultured on the appropriate growth media namely nutrient and potato dextrose agar for bacteria and fungi respectively. A cellular suspension was prepared and standardized to 2.000 optical density (O.D) using Shimadzu Ultra violet visible (Uv-vis) spectrophotometer. The suspension was then adsorbed on 10% chitosan immobilized silica nanocomposite (CISNC) and chitosan immobilized nanoclay (CINC). The nanocomposites and bionanocomposites were characterized on Rigaku X-ray powder diffractometer (Christian et al., 2008). A suspension of 10% was prepared (1:10 for bionanocomposite to distilled water) for inoculation.

 

Experimental sites and design

The microbial and bionanocomposite complexes were applied on tomato seeds prior to seeding by priming. A similar treatment was done on the growing medium (cocopeat) and the primed seeds were sown on a matching treatment in a tray. The seedlings were also treated with a similar complex prior to transplanting to the pots. Transplanting was done in greenhouses at two sites including; Gatundu-Theta Tea Factory (0.9621 oS, 36.7683 oE and altitude 2050 m ASL) and Juja-JKUAT (1.0891 oS, 37.0105 oE and altitude 1400 ASL) on plastic pots with well-prepared soil in the ratio of 3:0.5:1 for soil, sand and manure respectively. Another treatment was sown on cocopeat growing media with nutrients applied by fertigation system. The experiments involved 18 treatments and 3 replications based on a completely randomized design. Respective data was collected during the growth of plants.

Determination of Effective Concentration (EC) for the CISNC

The effective concentration (EC) of the CISNC was determined by a method so-called “up and down” or the “staircase method” using two hybrid tomato varieties (Choi, 1990). Twelve concentrations of CISNC and bionanocomposites were applied in vitro and in vivo for the determination of EC of the R. solanacearum and wilt reduction respectively. The In vitro tests were recorded five days after treatment while in vivo tests conducted in a period of six months. R. solanacearum inhibition experiment was performed in vitro while germination test, growth rate and wilting incidences were done under greenhouse conditions.

 

Assessment of mycorrhizal colonization

Root portions were sampled from all treatments. A sample of 50 g from each replicate was taken. The roots were carefully rinsed to avoid loss of fine roots and preserved in 70% ethanol. The preserved roots were then assessed for mycorrhizal colonization according to the procedures of Koske and Gemma, 1989. Estimation of percentage root mycorrhizal fungi colonization frequency and intensity was done using the subjective visual technique by Kormanik and McGraw, 1982, commonly referred to as the slide method. The roots were washed with 2.5% KOH (25g KOH in 1000 ml water) and subjected to70 ºC for 1 hr and then rinsed with tap water. To remove phenolic substances, alkaline hydrogen peroxide (60 ml of 28-30% NH4OH, 90 ml of 30% H2O2 and 840 ml distilled water) was added to the samples. The roots were then placed in an oven at 70 ºC for 20 min. Oven dried roots were rinsed with tap water and acidified with 1% hydrochloric acid (HCl) for 30 min. The HCl was decanted and stained with 0.05% Trypan blue dissolved in acid glycerol (500 ml glycerol, 450 ml water, 50 ml of 1% HCl and 0.5g Trypan blue). The stained roots were placed in an oven at 70 ºC for 1 hr. The stain was decanted and a solution comprising of acid glycerol (500 ml glycerol, 450 ml distilled water, 50 ml of 1% HCl) was added to the samples. Proper stained root segments were cut into 1 cm-long pieces and 30 pieces randomly picked, mounted on slides and observed under the Nixon compound microscope to assess the frequency and intensity mycorrhizal colonization. Presence of arbuscules, vesicles, internal and external hyphae was examined. The frequency of mycorrhizal colonization was recorded as the number of root fragments infected with mycorrhizal fungi and expressed as a percentage of total number of root fragments observed. The intensity of mycorrhizal fungi colonization was also recorded as percentage cover of mycorrhizal fungi infective propagules in each 1cm root fragment.

 

Biochemical analysis (glucanase and chitinase)

The efficacy of resistance elicitation was carried out by determining the levels of chitinase and glucanase. A confirmatory test of the presence of the chitinase and glucanase genes was done after amplification of DNA by use of polymerase chain reaction (PCR).

Foliage from treated tomato plants was ground to obtain a suspension for DNA isolation. DNA was extracted following the CTAB extraction method and then stored at -20 oC (Kumlachew, 2014). The polymerase chain reaction (PCR) was carried out using touchdown procedures as described by Khalil et al. (2003). The primers were a 21 mer forward primer –CGA ACC TAA TGG TGG TAG TGC-, and reverse –TCG CAA CTA AAT CAG GGT TG- for chitinase and22 mer forward primer –CGC CAT TGC TCG TGT TGA CAT G- and reverse -AAT TTC TCG CTC GGC GGT GGT G for glucanase. The samples were cooled at 4 oC and subjected to electrophoresis on a 1.5% agarose gel in 1X TAE buffer (40 mMTris acetate and 1.0 mM EDTA) and photographs taken under ultra-violet (Uv) light. The obtained ladders were interpreted using base pair amplicons of the enzymes (Chilvers, 2012 method). Amplified DNA (100 µL) was mixed with a binding buffer in a ratio of 1:1 mixed thoroughly by vortexing. Sodium acetate (10 µL of 3 M) was added and vortexed until a yellow colour appeared. A solution (800 µL) was transferred to the GeneJET purification column, centrifuged for 30-60 sec and the flow-through discarded. Wash buffer (700 µL) was added to the GeneJET purification column, centrifuged for 30-60 sec,  flow-through discarded and the purification column placed back into the collection tube. The empty GeneJET purification column was centrifuged for 1 min. The GeneJET purification column was transferred to a clean 1.5 mL microcentrifuge tube and centrifuged for another 1 min. The GeneJET purification column was discarded and the purified DNA stored at -20 °C.  Concentration of chitinase and glucanase was determined using Bioneer, nanodrop machine at 680/620 nm on purified samples (Korbie and Mattick, 2008).

 

Bacterial wilt incidence

The number of wilting plants per treatment was recorded as incidences of bacterial wilt symptoms. Wilting incidence was calculated using Equation (1).

           (1)

where A= number of plants on scale 5, B= number of plants on scale 4, C= number of plants on scale 3, D= number of plants on scale 2, E= number of plants on scale 1, N= total number of plants. From the scale, the lower incidence level indicates the better control measurement (Tim et al., 2008).

 

Bacterial wilt severity measurement

Tomato plant stems showing signs of wilting were cut and scored for browning and bacterial streaming. Scoring method was conducted based on 0-1, 2 and 3scaleswhere each scale indicates no browning, light brown color at the base, light brown color above the basal part and dark brown color spread through the vascular stem respectively. In addition, the streaming test was conducted based on suspending cut stems in distilled water in a beaker and the ooze rate score of 0, 1, 2 and 3 used to determine severity, where each score shows no ooze, thin strands of bacteria oozing, continuous thin flow and heavy ooze turning the water turbid respectively (Elphinstone et al., 1998). The bacterial stem browning and streaming were done by selecting and evaluating 3 plants per treatment collected 120 days after planting.

 

Determination of retention of biocontrolagents in soil/planting media

Biocontrol Agents stability in the soil was determined by using of available carbon percent (%) in the soil based on the Walkley-Black chromic acid wet oxidation method. The amount of carbon was estimated as percentage using Equation (2).

          (2)

where C= Carbon percentage, B= amount of titrant consumed by blank, T= amount of titrant consumed by sample, W= weight of the sample, V= volume of K2Cr2O7, 0.3= constant, 0.75= assumption that the sample had 75% carbon (Mylavarapu, 2009).

 

Determination of pH in the tomato rhizosphere

Soil pH was determined using a digital pH meter on all the treatments. The soil was dried at room temperature (25 oC) for 7 days then separated on the 6.3 mm sieve to obtain the proper soil sample for pH measurement.  A sample of 30±0.1 g was weighed and placed in a glass beaker. Equivalent volume of distilled water was added to the soil sample and stirred thoroughly to obtain soil slurry and then cover with watch glass. The sample was allowed to stand for 1 hr with continued stirring every 10 to 15 min to allow the pH of the soil slurry to stabilize. The readings were taken after stabilization using electrodes of pH meter standardized with 7.0 buffer solution.

 

Data analysis

The data obtained from effective biochemical concentration wilt incidences, resistance associated enzymes and soil properties were subjected to analysis of variance (ANOVA) and means separated by Fischer’s Least Significant Difference (LSD0.05) to determine the significance level using Genstat statistical package version 12.

 

Results and Discussions

Determination of effective concentration of CISNC

Significant (P≤0.05) effects of different concentrations of the nanocomposite on inhibition of R. solanacearum, germination of tomato seeds, induction of chitinase, wilt incidence and tomato fruits shelf life were observed. However, the effect of concentration on most of the assessed parameters was not significant (Table 1).

Table 1. Effective concentration of CISNC in tomato development and wilt resistance

Treat/ conc. (%)

Inhibition (%)

Germination (%)

Wilt incidence (%)

Chitinase

(%)

Shelf life (days)

0

15.33 a

72.11 a

30.00 a

1.543 a

12.01 a

0.5

18.67 a

77.89 b

31.11 a

2.029 b

20.11 b

5

45.00 b

82.56 c

33.78 b

2.081 b

21.67 b

10

75.33 c

82.89 c

34.00 b

2.096 b

21.67 b

20

77.33 cd

 

 

 

 

30

81.00 de

85.11 cde

36.11 c

2.157 bc

21.78 b

40

84.33 ef

 

 

 

 

50

87.67 fg

85.22 de

36.67 c

2.279 bc

22.22 b

60

88.67 fgh

 

 

 

 

70

90.00 gh

86.11 ef

36.78 c

2.800 c

23.00 c

80

91.67 gh

 

 

 

 

90

92.33 h

88.22 f

55.00 d

2.966 cd

23.56 c

100

92.33 h

 

 

 

 

Means followed by the same letter are not significantly different. LSD 0.05

 

Validating effectiveness of CISNC on R. solanacearum inhibition, tomato seed germination, wilting of tomato plants, elicitation of resistance and tomato fruit shelf life was an important step towards synthesis of a bionanocomposite pesticide. The effective concentration intervals which caused significant (P≤0.05) bacterial inhibition, reduced tomato wilt, caused elicitation of chitinase and enhanced postharvest shelf life of harvested tomato fruits were determined. Concentration of 0.5% reduced the R. solanacearum colony by 18.7%, germination was77.9%, chitinase2.029 nm, wilt incidence at 31.11 and shelf-life prolonged to 20.1 days. In comparison, a concentration of 10% resulted in 75.3% reduction in inhibition, seed germination of 82.9%, chitinase elicited to 2.081 nm, wilt incidence reduced by 33.8% and shelf-life enhanced to 21.7 days. The effect of 10% concentration of CISNC on R. solanacearum inhibition, seed germination, chitinase elicitation, wilt incidence and shelf life of treated fruits was not significant (P≤0.05) when compared to 20-50% concentration. Therefore, considering the concentration of 10% as the EC was done based on the five tested parameters, applying of high concentrations would be economically untenable and may imbalance other ecological aspects when additional amounts of reagents are added to the rhizosphere (Sharp, 2013).

 

Colonization of roots by biocontrol agents

Adsorption of Glomus mosseae, a type of arbuscular mycorrhizal fungi (AMF) onto chitosan immobilized silica nanocomposites, induced the highest and most significant (P≤0.05) root microbial colonization frequency (76.7%) and infection (81.7%). Interestingly, all microbes (BCAs), bionanocomposites, non-microbe adsorbed chitosan immobilized silica nanocomposites (CISNC) and chitosan immobilized nanoclay composites (CINC) treatments showed over 50% mycorrhizal infection rates compared to the controls (acetic acid (AA) and distilled water (DW)). There was significant (P≤0.05) difference in colonization when different soils and media were used. The montmorillonite soil showed the highest microbial colonization and infection, followed by the acidic nitrisol. Minimum microbial colonization and infection was observed in the inert media. The results are corroborated in Figure 1, Tables 2, 3 and Plate 1. 

Fig. 1. Colonization and Frequency of Tomato Roots by Beneficial Microbes

Means significant at L.S.D 0.05 (F-test) ᶦ-LSD bar

 

Table 2. Microbial root colonization frequency in tomato roots (% AMF colonization)

Treat

Nitrisol (Gatundu)

Montmorillonite

(Juja)

Cocopeat

Distilled water

15 a

19 a

0 a

Phage

17 ab

24 ab

5 a

Acetic acid

20 bc

27 b

0 a

Mesoporous silica nanoparticles

27 c

30 bc

0 a

B. subitilis (BS)

30 c

34 c

4 a

Chitin

30 c

35 c

0 a

Chitosan

40 d

40 cd

0 a

Chitosan immobilized silica nanocomposites (CISNC)

40 d

44 d

0 a

T. viridae

40 d

44 d

4 a

Chitosan nanoparticles

40 d

45 d

0 a

CISNC-Phage

42 de

48 e

0 a

CISNC-TV

45 de

50 e

6 ab

Effective micro-organisms (EM)

45 de

52 e

8 ab

CISNC-EM

48 de

54 e

10 b

Chitosan immobilized nanoclay

50 e

54 e

10 b

CISNC-BS

63 f

66 f

10 b

AMF

70 g

72 g

10 b

CISNC-AMF

77 g

74 g

20 c

Means followed by the same letter are not significantly different. LSD 0.05

 

Table 3. Microbial root colonization frequency in tomato roots (% AMF infection)

Treat

Nitrisol (Gatundu)

Montmorillonite (Juja)

Cocopeat

Phage

18 a

23 a

0 a

Distilled water

25 ab

28 ab

0 a

Acetic acid

30 bc

34 bc

0 a

Mesoporous silica nanoparticles

33 bc

37 bc

0 a

Chitin

37 cd

40 c

0 a

B. subtilis

45 de

44 c

5 a

Chitosan

45 de

44 c

0 a

T. viridae

47 def

45 c

5 a

Effective micro-organisms

50 efg

49 cd

8 b

CISNC-Phage

50 efg

49 cd

4 a

Chitosan nanoparticles

50 efg

49 e

0 a

CISNC

55 fg

54 e

0 a

CINC

55 fg

59 ef

4 a

CISNC-EM

57 gh

62 f

15 c

CISNC-TV

58 gh

62 f

15 c

G. mosseae (AMF)

62 h

68 g

40 d

CISNC-BS

65 h

69 gh

10 ab

CISNC-AMF

82 i

85 i

50 e

Means followed by the same letter are not significantly different. LSD 0.05

Plate 1. Microbial root colonization

 

The beneficial plant-microbe interaction results in antagonism of pathogens by enhancement of competition for space and nutrients in the root system. Tomato plant is a mycorrhizal “friendly plant” hence; Glomus mosseae readily colonized the root hairs. Mycorrhiza fungi enhances root establishment and by improving the root damages increase the nutrient uptake. This partnership helps to overcome soil borne pathogens and pests (Hodge, 2000; Glick, 2012), which eventually reduce tomato wilt incidences in treatments colonized by the BCAs. When diseased and mycorrhizal colonized roots were critically analyzed, there was evidence that growth of pathogens was only restricted to the epidermis and cortical tissues. Conversely, in diseased non-mycorrhizal roots, the pathogens infected through the stele. Mycorrhizal colonized roots also structurally disorganized and inhibited pathogen development (Barea et al., 2002; Park et al., 2007).

 

Resistance enhancement in tomato by bionananocomposites

Effect of treating tomato plants with BCA-nanocomposite complexes was observed byinducing pathogenesis related biochemicals in tomato plant system by increasing of chitinase and glucanase content.  Expression of the biochemicals was confirmed by amplification of the DNA. BCAs, chitosan-silica nanocomposites and their complexes significantly (P≤0.05) increased the concentration of chitinase and glucanasewhen compared to the control plants. However, there was no significant difference (P≤0.05) in chitinase and glucanase elicitation when bionanocomposites were applied on Anna and Chonto F1 tomato varieties.

To ensure that microbial colonization and effect of bionanocomposites have occurred, plant materials for analysis were collected eight weeks post-transplanting. The enhanced resistance was monitored by measurement of elevated chitinase and glucanase concentrations (Tables 4, 5 and Plate 2). Hydrolytic enzymes related to plant resistance are regulated with two genes by which plant overcome over the pest attacks or when exposed to resistance eliciting agents (Jach et al., 1995). Our study showed a significant correlation between the induced chitinase and bacterial wilt incidences in two tomato varieties (Table 6).

 

Table 4. Concentration of chitinase in tomato varieties treated with bionanocomposites

Treatment

Anna F1

ChontoF1

Distilled water

1.06 a

1.10 a

Acetic acid

1.16 a

1.18 a

Mesoporous silica nanoparticles

1.23 b

1.26 b

T. viridae (TV)

1.26 b

1.29 b

Nanoclay

1.31 c

1.42 c

R. solanacearum

1.33 c

1.40 c

Phage

1.41 d

1.48 d

G. mosseae (AMF)

1.42 d

1.54 e

B. subtilis (BS)

1.42 d

1.54 e

Effective micro-organisms (EM)

1.56 e

1.55 e

Chitosan

1.60 e

1.59 ef

Chitosan nanoparticles

1.69 f

1.60 f

Chitosan immobilized nanoclay

1.70 f

1.61 f

Chitosan immobilized silica nanocomposites (CISNC)

1.76 g

1.61 f

CISNC-Phage

1.93 h

1.98 g

CISNC-TV

2.00 i

2.20 h

CISNC-AMF

2.03 i

2.37 i

CISNC-BS

2.24 j

2.45 j

CISNC-EM

2.61 k

2.74 k

Means followed by the same letter are not significantly different LSD 0.05.

Table 5. Concentration of glucanase in tomato varieties treated with bionanocomposites

Treatment

Anna F1

Chonto F1

Distilled Water

Acetic acid

Mesoporous Silica Nanoparticles (MSN)

T. viridae(TV)

Nanoclay

R. solanacearum(RS)

Phage

G. mosseae (AMF)

B. subtilis(BS)

Effective micro-organisms (EM)

Chitosan

Chitosan nanoparticles

Chitosan Immobilized Nanocomposites (CINC)

Chitosan Immobilized Silica Nanocomposites (CISNC)

CISNC-Phage

CISNC-TV

CISNC-AMF

CISNC-BS

CISNC-EM

0.12 a

0.13 a

0.14 a

0.15 ab

0.17 b

0.23 c

0.24 c

0.25 d

0.26 d

0.26 d

0.26 d

0.26 d

0.26 d

0.27 e

0.27 e

0.27 e

0.27 e

0.27 e

0.27 e

0.13 a

0.15 a

0.16 a

0.18 b

0.20 b

0.22 b

0.25 c

0.25 c

0.25 c

0.25 c

0.26 c

0.26 c

0.26 c

0.27 d

0.28 d

0.28 d

0.28 d

0.28 d

0.28 d

 

Means followed by the same letter are not significantly different LSD 0.05.

 

 

 

Table 6. Pearson correlations for chitinase and glucanase in tomato treated with bionanocomposites

 

N

Mean

SD

Chitinase

19

1.6212105263158

0.40112128658263

Glucanase

19

0.22962631578947

0.053181177143226

R2= 0.71107331363471 (P= 6.422144212285), 2-tailed test of significance.

Plate 2. Gel image showing PCR product of chitinase and glucanase

 

Garcia-Garrido and Ocampo (2002) demonstrated that, in plants certain genes and biochemicals are associated with plant defense response. Mycorrhizal structures such as hyphae, vesicules and arbuscules induce expression of some pathogenesis related genes hence; plants colonized by mycorrhiza elevate defense related genes. Chitinase and glucanase biochemicals are synergistically induced during attack by pathogens and/or resistance elicitors. Total chitinase activity is higher in mycorrhizal host plants when colonized by the root-fungus complex when compared to non-mycorrhizal plants and their controls. Consistence with these observations, Sambrook et al. (1989) showed that constitutive activities of chitinase and glucanase were several times lower in wheat leaves before treatment with elicitors. The enzymes were significantly (P≤0.05) elevated upon treatment with Stagono sporanodorum isolates with high virulence.

However, Mandal et al. (2013) indicated that hydrolytic biochemicals are non-specific defense response in plants. In spite of this finding our study revealed a systematic reduction of disease symptoms in tomato plants with the elevated biochemicals. Therefore these biochemicals are suggested as bioprotector agents. The role of hydrolytic biochemicals; chitinase and glucanase in defense response of plants has also been described by Jongedijk et al. (1995). This has been attributed to the fact that, most pathogenic bacteria and fungi contain 1, 3 B-glucans, chitin and other substrates as cell wall components. These biochemicals effectively restrict growth of fungi and bacteria due to their lysozyme activity. Infection of healthy plants by pathogens is also associated with rapid activation of the corresponding gene containing chitinase and/or glucanase gene(s) which is expressed around the necrotic region in the leaf. Though chitinase and glucanase act synergistically in host plant defense responses and employ different mechanisms against pathogens (Soad et al., 2013).

For instance, while the chitinase enzyme catalyse the cleavage of site C1-C4 of two consequtive N-acetyl-D-glucosamine monomers of chitin, glucanase enzyme catalyse the cleavage of B,1-3 glucans. These compounds are ubiquitous in most pathogens (Neerja et al., 2010). Jongedijk et al. (1995) indicated that when chitinase is released, biosynthesis of chitinase, glucanase, catalyses and other defense related enzymes will be significantly induced. Also, co-transformation of plants with chitinase and glucanase related genes showed higher resistance to most pathogens when compared to plants transformed with these genes individually (Pratibha et al., 2012). This was consistent with the current study, where there was a strong correlation between the concentration of both chitinase and glucanase biochemicals in tomato plants with less wilting incidences.

 

Bacterial wilt incidence assessment

Tomato seedlings treated with BCA-CISNC complex, particularly the effective micro-organisms and phages, showed minimum wilt incidences. Minimum wilt incidences occurred in BCAs-CISNC, CISNC and CINC composite treatments compared to plants treated with BCAs or nanocomposites (Table 7). This finding indicates the effect of elevated microbial root colonization in plant resistance enhancement (Tables 2 and 3). Control experiments including acetic acid and distilled water had significantly (P≤0.05) higher wilt incidences compared to all other treatments. Tomato varieties treated with bionanocomposites and the seedling inoculated with the pathogen showed the similar wilt incidences. However, in the control experiments, wilt incidence in Anna F1 was significantly (P≤0.05) higher than Chonto F1.Wilt incidences in tomato plants treated with BCA-nanocomposite is shown in Table 7.

 

Table 7. Wilt incidences in tomato varieties treated with bionanocomposites

Treatments

Anna F1

Chonto F1

CISNC-EM

17. 6 a

19.3 a

CISNC-BS

20.5 ab

22.9 ab

CISNC-Phage

26.4 bc

24.5 b

CISNC-AMF

26.3 bc

24.7 b

Chitosan immobilized nanoclay

28.6 c

26.1 c

Chitosan immobilized silica nanocomposites (CISNC)

28.1 c

26.8 c

CISNC-TV

28.0 c

29.2 cd

Effective micro-organisms (EM)

30.7 d

28.8 c

Mesoporous silica nanoparticles

34.1 e

32.5 d

Chitosan nanoparticles

35.8 e

34.2 de

G. mossea (AMF)

37.5 ef

35.4 e

Chitosan

37.8 ef

38.5 ef

Phage

39.7 f

38.4 ef

T. viridae

41.5 fg

39.3 f

B. subtilis

40.7 fg

39.8 f

Chitin

46.0 h

43.7 h

Acetic acid

54.5 i

52.0 i

Distilled water

55.8 ij

54.4 i

Means linked with a similar letter are not significantly different LSD 0.05.

 

Bacterial wilt severity assessment

There was significant (P≤0.05) difference in bacterial browning and streaming effect when different bionanocomposites were used to control bacterial wilt in the two tomato varieties. Comparatively, Chonto F1 had lower bacterial browning and streaming than Anna F1 variety (Table 8).

Table 8. Bacterial wilt severity in tomato varieties treated with bionanocomposites

Treatment

Anna F1

Chonto F1

Anna F1

Chonto F1

Bacterial browning effect

Bacterial streaming effect

CISNC-EM

0.4 a

0.4 a

0.1 a

0.1 a

CISNC-BS

0.6 ab

0. 5 a

0.4 b

0.3 b

CISNC-Phage

0.9 b

0.8 b

0.4 b

0.3 b

CISNC-AMF

0.5 a

0.4 a

0.1 a

0.1 a

Chitosan immobilized nanoclay

1.2 c

0.9 b

0.8 c

0.7 c

Chitosan immobilized silica nanocomposites (CISNC)

0.8 b

0.7 ab

0.6 bc

0.6 c

CISNC-TV

0.7 ab

0.8 b

0.6 bc

0.6 c

Effective micro-organisms (EM)

1.4 c

1.1 c

0.7 c

0.6 c

Mesoporous silica nanoparticles

1.8 d

1.5 cd

1.0 d

1.0 d

Chitosan nanoparticles

1.3 c

1.2 c

0.8 c

0.9 d

G. mossea (AMF)

0.8 b

0.7 ab

0.8 c

0.6 c

Chitosan

0.8 b

0.8 ab

0.8 c

0.7 c

Phage

1.4 c

1.2 c

1.0 d

0.9 d

T. viridae

2.2 e

1.6 cd

1.3 de

1.2 e

B. subtilis

1.6 cd

1.4 c

1.0 d

1.0 d

Chitin

1.0  b

0.9 b

1.0 d

1.0 d

Acetic acid

2.2 e

2.0 e

1.8 f

1.6 f

Distilled water

2.4 e

2.2 e

2.1 g

2.0 g

Means followed by the same letter are not significantly different. LSD0.05,Score 0- no browning, 1- light browning at the basal stem 2 cm, 2- light brown colour spread in the vascular system and 3- dark brown colour widespread browning. Ooze rate score 0- no ooze, 1- thin strands of bacteria oozing, 2- continuous thin flow and 3- heavy ooze turning the water turbid (Elphinstoneet al., 1998).

 

Our study revealed that combination of several resistance elicitor agents such as silica, nanoclay, chitosan and biocontrol agents known as co-inoculation resulted in maximum significant (P≤0.05) effects against wilt incidence(Tables 7 and 8). This resistance was caused by competition of colonization sites, carbon components and induction of systemically induced resistance as disease suppression (Algam et al., 2010). Use of chitosan in the nanocomposite carrier enhanced the biocontrol agents’ efficacy against the pathogen. Thus, combination of chitosan nanocomposite and microbial antagonists, such as the B. subtilis, effective micro-organisms, T. viride, G. mosseae and R. solanacearum-phage, increase their efficacy. Chitosan acts as a propercarrier material due to high concentration of polysaccharides. Chitosan and its derivatives were also degrading produced pathogen repellents like ammonia which predisposed the R. solanacearum as a biological antagonists capable in controlling the pathogen as observed in this study.

However, according to Pal and Mc Spadden (2006), biocontrol agents are more likely to be rather preventive than therapeutic in disease control therefore their potential should be used in seed priming stage and/or in pre-treatment before transplanting. The biocontrol agents were found to be more effective in seed primed seedlings while chitosan and its derivatives showed better function as a soil drench (Prevost et al., 2006). Interestingly, substitution of mesoporous silica with nanoclay did not showed significant (P≤0.05) difference in tested parameters like wilt incidences. This was attributed to the fact that clay contains substantial quantities of silica in its composition (over 90% silica) (Saldajeno and Hyakumani, 2011; Pinto et al., 2012).

 

Total organic carbon accumulation in the soil

The duration of biocontrol agents, nanocoposites and microbial activity in the soil rhizosphere was monitored as a derivative of total organic carbon. Addition of BCAs, chitosan-silica composites and bio-nanocomposites in the rhizosphere, increased the carbon content significantly (P≤0.05) when compared to the controls. Application of bacteriophage did not increase the total organic carbon significantly (P≤0.05). The level of TOC was considerably (P≤0.05) higher in Juja clay soils than Gatundu’s nitrisol, while cocopeat had the minimum carbon build up. The results of carbon content after treatment using the bionanocomposites complexes are shown in Table 9.

 

Table 9. Total Organic Carbon (TOC) in tomato rhizosphere

Treatment

Nitrisol (Gatundu)

Montmorillonite (Juja)

Cocopeat

Distilled water

2.4 a

3.8 a

30.6 a

Phage

2.7 a

3.9 a

31.4 ab

Acetic acid

2.8 a

4.3 b

30.8 a

Bacillus subtilis (BS)

3.2 b

4.8 bc

33.7 b

Trichodermaviridae (TV)

3.3 b

5.0 bc

34.3 b

Effective micro-organisms (EM)

3.5 b

5.3 c

35.8 c

Glomusmossea (AMF)

3.6 c

5.3 c

36.2 d

Mesoporous silica nanoparticles

3.6 c

4.4 b

30.7 a

CISNC-Phage

4.1 d

5.7 d

37.9 de

Chitosan nanoparticles

4.3 d

5.8 de

38.3 ef

CISNC-BS

4.3 d

5.9 e

38.6 ef

Chitosan

4.3 d

5.8 de

39.1 f

Chitosan immobilized nanocomposites (CISNC)

4.4 d

5.8 de

37.9 de

Chitosan immobilized nanoclay

4.4 d

5.9 e

38.3 ef

CISNC-AMF

4.5 e

5.7 d

38.6 ef

CISNC-EM

4.5 e

5.8 de

39.6 f

CISNC-TV

4.6 e

5.8 de

39.7 f

Chitin

5.6 f

6.1 f

40.3 g

Means followed by the same letter are not significantly different LSD 0.05.

 

Application of BCAs and nanocomposite carriers increases the microbial activity in the rhizosphere (Kubata et al., 2005). Use of organic carriers also increases the longevity of microbes in the soil and their efficiency in root hairs colonization. Microbial activity increases soil organic matter expressed as percent carbon, thereby affecting the soil physical and chemical properties. The microbial activity increases soil fertility by providing cation exchange sites and acts as a bypass for plant nutrients which are slowly released upon mineralization.

According to Gray and Smith (2005), there exists a strong correlation between soil organic matter and soil fertility. Addition of BCAs therefore, enhances mineralization due to increased microbial activity which ultimately causes nutrients availability and increased yield. The low carbon content in the control samples was attributed to continued cultivation of soil with addition of synthetic fertilizers which may reduce the microbial diversity and numbers. This will result in soil degradation that eventually increase the soil acidity and reduce the soil fertility (Vahjen et al., 1995). Addition of BCAs in the tomato rhizosphere therefore, caused restoration of the soil microbial activity. Adsorption of BCAs on chitin derivatives showed a positive effect of providing the microbes as substrates for consumption of energy and minerals before adapting to the rhizosphere. The polymer gradually increased the rhizosphere soil pH in this study, due to the released ammonia during breakdown of the nitrogen rich chitinous substrate (Rodrigo et al., 2006).

 

Effect of bionanocomposite son soil pH

Application of biocontrol agents and chitosan-silica nanocomposites affected the rhizosphere soil pH six months after application. However, there was no significant (P≤0.05) difference in soil pH when sole BCAs were applied. Chitosan immobilized silica or immobilized chitosan on nanoclay had significant (P≤0.05) effect on soil pH around the rhizosphere compared to the controls. Adsorption of BCAs on the nanocomposites showed significant (P≤0.05) increase on soil pH. There was also significant (P≤0.05) change in pH levels of entire growing medium i.e. nitrisol, montmorillonite and cocopeat (Table 10).

 

Table 10. Soil pH in rhizospherein different planting media, 6 months after application of the bionanocomposites

Treatment

Nitrisol (Gatundu)

Montmorillonite (Juja)

Cocopeat

Distilled water

5.2 a

6.7 c

6.5 a

Acetic acid

5.0 a

6.6 b

6.2 a

Effective micro-organisms (EM)

5.1 a

6.5 a

6.6 ab

Mesoporous silica nanoparticles

5.1 a

6.5 a

6.6 ab

Phage

5.1 a

6.5 a

6.6 ab

Bacillus subtilis (BS)

5.2 a

6.6 b

6.7 b

Glomusmosseae (AMF)

5.4 b

6.7 c

6.8 bc

Trichodermaviridae (TV)

5.3 ab

6.8 d

6.7 b

Chitin

5.6 c

6.8 d

6.9 c

Chitosan nanoparticles

5.7 cd

6.8 d

7.0 cd

CISNC-EM

5.8 d

6.8 d

7.1 d

Chitosan immobilized nanoclay

5.7 cd

6.8 d

6.9 c

Chitosan

5.7 cd

6.8 d

7.0 cd

CISNC-AMF

5.8 d

6.8 d

7.1 d

CISNC-Phage

5.7 cd

6.8 d

7.0 cd

Chitosan immobilized silica nanocomposites (CISNC)

5.7 cd

6.8 d

7.1 d

CISNC-BS

5.7 cd

6.8 d

7.2 de

CISNC-TV

5.8 d

6.9 e

7.3 e

Means followed by the same letter are not significantly different LSD 0.05.

 

Regulation of soil pH play critical role in optimal microbial colonization. For instance, an acidic soil inhibits the establishment of plant growth promoting fungi, while alkaline soils reduce colonization by the plant growth promoting rhizobacteria. A fairly neutral soil pH enhances development of both fungal and bacterial beneficial microbes. This promotes diversity of soil microbial communities and causes the desired property in soil fertility and crop productivity (Barea et al., 2002). Chitosan polysaccharides had a higher effect on the soil pH than chitin, attributed to the ease of polymer solubility. This can be due to the deacetylation of chitin into chitosan reduces the strength of bands and provide polar phase in polymer, which result in an easy cleavage of the chitosan (Prevost et al., 2006).

 

Conclusion

The attained complex after adsorption of biocontrol agents on the chitosan immobilized silica nanocomposite (CISNC) known as bionanocomposite showed considerable pathogen inhibitory effect and enhanced wilt resistance and rhizosphere health in tomato plants. Due to the diverse materials used in synthesizing the bionanocomposite, it functions as both biopesticide and biofertilizer. Our findings suggest that, the substitution of mesoporous silica nanoparticles (MSN) in the nanocomposite with nanoclay in the development of the bionanocomposite is desirable in sustainable production of the product.

Agrios, G. 2005. J. Plant. Pathol. (5th ed.), NY: Academic press.
Algam, S., G.Xie, B. Li, S.Yu, T. Su, and L. Larsen. 2010. Effects of Paenibacillus Strains and Chitosan on Plant Growth Promotion and Control of R. solanacearum Wilt in Tomato. J. Plant. Pathol. 92(3).
Barea, J., R. Azcon,and C. Azcon-Anguilar. 2002. Mycorrhizal Sphere Interactions to Improve Plant Fitness and Soil Quality. Antonie Van Leeuwenhoek.81:343-351.
Christian, P., F. Kammer,and M. Baalousha. 2008. Nanoparticles: Structure, Properties, Preparation and Behavior in Environmental Media. Ecotoxicol. 17(5):326-343.
Christos, A., L. Damalas,and I.Eleftherohorinos. 2011.Pesticide Exposure, Safety Issues, and Risk Assessment Indicators.Int. J. Environ. Res. Public. Health.8(5):1402-19.
Choi, S. 1990. Interval Estimation of the LD50 Based on an Up-and-Down Experiment. Biometrics. 46:485-492.
Elphinstone, J., H. Stanford, and D. Stead. 1998. Detection of Ralstonia solanacearum in Potato Tubers, Solanum dulcamara and Associated Irrigation Water in Bacterial Wilt Disease: Molecular and Ecological. Aspects (Ed. Prior P, Allen C and Elphinstone J), Springer Verlag, Berlin German.133-139.
Dennis, G., W. Harrison, K. Agnes and G. Erastus. 2016. Effect of Biological Control Antagonists Adsorbed on Chitosan Immobilized Silica Nanocomposite onRalstoniasolanacearumand Growth of Tomato Seedlings. Advances in Research. 6(3):1-23.
Garcio-Garrido, J., and J. Ocampo. 2002. Regulation of the Plant Defense Response in Arbuscular Mycorrhizal Symbiosis. J. Exp. Bot. 53:1377-1386.
Glick, B. 2012. Plant Growth Promoting Bacteria: Mechanisms and Applications.Scientifica.10:60-64.
Gray, E., and D. Smith. 2005. Intracellular and Extracellular PGPR. Commonalities and Distinctions in the Plant-bacterium Signaling Processes. Soil Biol. Biochem. 37:395-412.
Helander, I., E.L. Nurmiaho-Lassila, R. Ahvenainen, J. Rhoades, and S. Roller. 2001. Chitosan Disrupts the Barrier Properties of the Outer Membrane of Gram-negative Bacteria. Int. J. Food Microbiol. 71: 235-244.
Hodge, A. 2000. Microbial Ecology of Arbuscular Mycorrhiza. FEMS. Microbiol. Ecol.32:91-96.
Jach, G., B. Gornhadt, J. Mundy, J. Logemann, E.Pinsdorf, R. Leah, J. Schell,and C. Maas. 1995. Enhanced Quantative Resistance AgainstFungal Disease by Combinatorial Expression of Different Barley Antifungal Proteins in Transgenic Tobacco.
Jongedijk, E., H.Tigelaar, J. VanRoekel, S. Bres-vloemans, I. Dekker, P. Van denElzen, B. Cornelissen, and L. Melchers. 1995. Synergistic Activity of Chitinase and B, 1-3 Glucanase Enhances Fungal Resistance in Transgenic Tomato Plants. Euphytica. 85:173-180.
Karungi, J., S. Kyamanywa, E. Adipala, and M.Erbaugh. 2011. Pesticide Utilization, Regulation and Future Prospects in Small Scale Horticultural Crop Production Systems in a Developing Country, Pesticides in the Modern world-Pesticides Use and Management.307-459.
Kenya Horticulture competitiveness Project (KHCP)-USAID Report. 2012.
Kenya Horticulture Development Project (KHDP) Report. 2007.
Korbie, J., and S.Mattick.2008. Touchdown PCR for Increased Specificity and Sensitivity in PCR Amplification.NatProtoc.3(9):1452-6.
Kubata, M., M. Matsui, H. Chiku, N. Kasashima, M.Shimojoh, and K. Sakaguchil. 2005. Cell adsorption and Selective Desorption for Separation of Microbial Cells by Using Chitosan Immobilized Silica. Appl. Environ Microbial. 71(12):8895-8902.
Kumlachew, A. (2014). Real-Time PCR and Its Application in Plant Disease Diagnostics Advances in Life Science and Technology. Retrieved from: www.iiste.org Maksimov, I., K. Abigizgildina, and L. Pusenkova. 2011. PGPR as Alternative to Chemical Crop Protectors from Pathogens. Appl. Biochem Microbial. 47: 333-345.
Mandal, S., I. Kar, A. Mukherjee, and P.Acharya. 2013. Elicitor Induced Defense Responses in Tomato Against R.Solanacearum. Sci. World J.
Mylavarapu, R. 2009. UF/IFAS Extension Soil Testing Laboratory (ESTL) Analytical Procedures and Training Manual.Circular 1248, Soil and Water Science Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida.
Neerja, C., K. Anil, P.Purushotham, K. Suma, P.Sarma, B. Moers-chbacher,andPodile. 2010. Biotechnological Approaches to Develop Bacterial Chitinase as a Bioshield Against Fungal Diseases of Plants. Crit. Rev. Biotechnol. 30:231-241.
Nguyen, M., and S.Ranamukhaarachchi.2010. Soil-borne Antagonists for Biological Control of Bacterial Wilt Caused by Ralstonia solanacearum in Tomato and Capsicum. Plant Path.J. 92(2):385-395.
Noor, H. 1999. Sanitary andPhytosanitary Measures (SPS) and their Impact on Kenya. Eco news Africa:2-15.
Pal, K., andB.McSpadden. 2006. Biological Control of Plant Pathogens. Plant.Health.Instr. 1117-02.
Park, K., D. Paul, Y. Kim, K. Nam, Y. Lee, H. Choi,and S. Lee. 2007. Induced Systemic Resistance by Bacillus vallismortis EXTN-1 Suppressed Bacterial Wilt in Tomato Caused by R.solanacearum. Plant.Pathol. J. 23:22-25.
Pratibha, S., K.Saravanan, R. Ramesh, K.P.Vignesh, S. Dinesh, S.Manika, S. Monica, Henry,and D. Swati. 2012. Cloning and Semi-quantitative Expression of Endochitinase (ech42) Gene from Trichoderma Spp. Afr. J.Biotechnol. 11(66):12930-12938.
Prevost, K., G. Couture, B. Shipley, R. Brzezinski, and C. Beaulieu. 2006. Effect of Chitosan and a Biocontrol streptomycete on Field and Potato Tuber Bacterial Communities. Biocontrol.51:533-546.
Pinto, K., L. Do Nascimento, E. Gomes, H. da Silva, and J. Miranda. 2012. Efficiency of Resistance Elicitors in the Management of Grapevine Downy Mildew (Plasmoparaviticola): Epidemiological, Biochemical and Economic Aspects. Eur. J. Plant. Pathol. 134:745-754.
Rodrigo, S., M. Vieira,and M. Beppu. 2006. Interaction of Natural and Cross-linked Chitosan Membranes with Hg (II) ions Colloids and Surfaces. Physicochem. Eng. Aspects.279:196-207.
Saldajeno, M., and M. Hyakumachi. 2011. The Plant Growth Promoting Fungus Fusariumequiseti and the ArbuscularMycorrhizalFungus Glomusmosseae Stimulate Plant Growth and Reduce Severity of Anthracnose and Damping-off Diseases in Cucumber (Cucumissativus) Seedlings. Ann . Appl.Biol. 159:28-40.
Sambrook, J., E. Fritsch,andT.Maniatis. 1989. Molecular Cloning: A Laboratory Manual. New York: Cold Spring Harbor Laboratory Press.
Sharp, R. 2013.A Review of the Applications of Chitin and Its Derivatives in Agriculture to Modify Plant-Microbial Interactions and Improve Crop Yields.Agron. J.3:757-793.
Soad, A., E. Algam, A. Ahmed, B. Mahdi, andL. Guan. 2013. Effects of Chemical Inducers and Paenibacillus on Tomato Growth Promotion and Control of Bacterial Wilt. Asian. J. Plant Path. 7:15-28.
Tim, M., J.Pingsheng, P. Ken, M. Robert,and O. Steve. 2008. Three Soil Borne Tomato Diseases Caused by Ralstonia and Fusarium Species and their Field Diagnostics. Plant Pathology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida.1-6.Vahjen, W., J. Munch, and C.Tebbe. 1995. Carbon Source Utilization of Soil Extracted Micro-organisms as a Tool to Detect the Effect of Soil Supplemented with Genetically Engineered and Non-engineered Corynebacterium glutamiucum and a Recombinant Peptide at the Community Level. FEMS Microbial. Ecol. 18:317-328.