Revista Mexicana Ciencias Agrícolas   volume 14   number 1   January 01 - February 14, 2023

DOI: https://doi.org/10.29312/remexca.v14i1.2898

Article

Use of Bacillus sp. as a resistance inducer in prickly pear against ‘scaly rot’

Juan Flores Gracia

Manuel Madrid González1

Sergio Antonio Nodal Moreno2

1National Technological Institute of Mexico-Technological Institute of Victoria City. Blvd. Emilio Portes Gil 1301, Victoria City, Tamaulipas, Mexico. CP. 87010. (juan.fg@cdvictoria.tecnm.mx).

2University of Security and Justice of Tamaulipas. Interjidal Highway Mz 1 Lt 30, Victoria City, Tamaulipas, Mexico. CP. 87019. (sergio.nodal@usjt.edu.mx).

§Corresponding author: juan.fg@cdvictoria.tecnm.mx.

Abstract

‘Scaly rot’ is one of the most important diseases in prickly pear, for this reason the objective of the present work was to isolate and identify fungi associated with ‘scaly rot’ and evaluate the ability of bacteria of the genus Bacillus sp. isolated to avoid the disease of ‘scaly rot’ in prickly pear [Opuntia ficus-indica (L.) Mill.]. Ten bacteria of the genus Bacillus sp. were analyzed in in vitro antagonism tests against the pathogen Neoscytalidium hyalinum, which was identified as the causative agent of ‘scaly rot’. The results of this study demonstrated that all isolates of Bacillus sp. significantly decreased (p≤ 0.05) the radius of the pathogen in the in vitro test, with isolates G11, G21 and G31 standing out. In the in vivo resistance induction tests, isolates G11, G21 and G31 significantly decreased (p≤ 0.05) the diameter of the lesions caused by Neoscytalidium hyalinum. The identification of the species used was carried out through a phylogenetic analysis of the sequences obtained of the regions 16s rRNA (bacteria) and ITS1-5.8s-ITS2 (fungi). Bacterial isolates G11, G21 and G31 were identified as Bacillus amyloliquefaciens and all fungi belonging to the genus Neoscytalidium sp. were identified as N. hyalinum.

Keywords: Bacillus amyloliquefaciens, Neoscytalidium hyalinum, Opuntia ficus-indica (L.) Mill., antagonism, resistance induction, scaly rot.

Reception date: September 2022

Acceptance date: December 2022

Introduction

‘Scaly rot’ is one of the most important diseases in prickly pear, it is characterized by the appearance of grayish scales of wavy or semi-wavy shape (Souza et al., 2010). The scales produced can completely cover the cladode, causing a loss of the photosynthetic surface of the plant with significant losses in production (Souza et al., 2010). The causative agents of ‘scaly rot’ are the fungi Neoscytalidium hyalinum and Scytalidium lignicola, which can also cause root rot in prickly pear (Souza et al., 2017; Feijo et al., 2019).

To control these and other phytopathogenic fungi, chemical fungicides are usually used, which are effective, but often have negative effects on the environment and on the health of consumers, in addition, there is always the possibility of the appearance of resistant strains (Spadaro and Gullino, 2004; Deising et al., 2008). The problems generated by the use of chemical fungicides have led to the search for alternative control methods such as antagonist fungi and bacteria, of which the bacteria of the genus Bacillus sp. can be highlighted (Wilson, 1997; Santoyo et al., 2012). Among the antagonistic capacities that Bacillus sp. has are competition for space and nutrients, antibiosis and induced systemic resistance (Layton et al., 2017).

Induced systemic resistance (ISR) is a state in which the plant’s defense capacity is enhanced by the plant’s interaction with growth-promoting bacteria (Vallad and Goodman, 2004). These bacteria produce liposaccharides, antibiotics, and siderophores that serve as elicitors of ISR, which are called microbe-associated molecular patterns (MAMPs) (Wiesel et al., 2014; Canchignia et al., 2015). Once the plant detects the elicitors, it begins to produce jasmonic acid (JA) and ethylene (ET), these promote the synthesis of pathogenicity-related (PR) proteins, allowing the plant to react more efficiently to the attack of a pathogen (Canchignia et al., 2015).

It is known that Bacillus sp. can induce resistance in different plants and help reduce damage caused by fungi such as Fusarium sp., Alternaria sp., Colletotrichum sp., Pythium sp. and Phytophthora sp. (Nakkeeran et al., 2007; Chowdappa et al., 2013; Wang et al., 2014; Gond et al., 2015). At present, it is unknown whether Bacillus sp. is able to induce resistance in prickly pear and prevent the disease of ‘scaly rot’. Therefore, the objective of the present work was to isolate and identify fungi associated with ‘scaly rot’ and evaluate the capacity of bacteria of the genus Bacillus sp., to avoid the disease of ‘scaly rot’ in prickly pear [Opuntia ficus-indica (L) Mill.].

Materials and methods

Study area and sample collection

The study areas were a prickly pear orchard in the municipality of Gómez Farias, Tamaulipas with coordinates 23° 09’ 37.64” north latitude, 99° 09’ 12.23” west longitude, and also the hydroponic modules of the Technological Institute of Victoria City with coordinates 23° 45’ 16.94” north latitude, 99° 10’ 01.76” west longitude. The cladodes of the prickly pear belonging to the species Opuntia ficus-indica with symptoms of ‘scaly rot’ were obtained by random sampling at each of

the sites and each individual sample were placed in polyethylene bags labeled with the collection data. Twenty samples were obtained for each of the sites, which were transported to the Laboratory of Microbiology and Biotechnology of the Division of Postgraduate Studies and Research of the Technological Institute of Victoria City for later use.

Isolation of fungi and bacteria

For the isolation of fungi, fragments (1 cm x 1 cm) of the prickly pears that presented the symptoms produced by ‘scaly rot’ were cut. These fragments were disinfected with 70% alcohol for one minute, then rinsed with distilled water and left to dry on filter paper. Once dried, they were placed in Petri dishes with potato dextrose agar (PDA) culture medium and incubated for two weeks at 30 °C.

The bacteria were isolated with the plate dilution technique, for this one gram of prickly pear roots was macerated in a mortar and mixed with 9 ml of saline solution. Serial dilutions were then performed until a dilution factor of 1 x 106 was obtained. From this solution, 100 μl was placed in Petri dishes with PDA culture medium to later spread it with a glass loop. The fungi were used for monosporic cultures (Valiente and Pavone, 2013) and the bacteria were reseeded from a single colony with the bacteriological loop and reseeded in a Petri dish with PDA culture medium.

Identification of the genus of fungi and bacteria

The fungi were identified to genus through the taxonomic keys proposed by Watanabe (2010); Phillips et al. (2013). For this, slides were prepared with the adhesive tape technique to later be observed in the optical microscope, using the 40x objective. The bacteria were identified by biochemical tests and microscopic observation using the 100x objective and those that were Gram (+), bacillary and catalase (+) were identified as of the genus Bacillus sp. (De Vos et al., 2009; Ruiz-Sánchez et al., 2014).

Pathogenicity tests

To determine which isolated fungi generate the same symptoms observed in the field, pathogenicity tests were carried out and for this, first sterile toothpicks were placed on colonies of the isolated fungi and left in incubation at 37 °C until the fungi grew on them and covered them completely. They were then cut into 1 cm fragments and used to inoculate prickly pear cladodes previously disinfected with 70% alcohol. Each cladode was inoculated with five toothpick fragments and three cladodes per isolated fungus genus were inoculated, after which they were placed in moisture chambers for a month.

After this period of time, it was observed which of the infected prickly pears presented the same symptoms observed in the field and from these, the fungus was reisolated from the lesions to confirm that it is the same with which it was inoculated (Swart et al., 2003). Once identified which of the genera of the isolated fungi causes the disease, pathogenicity tests were carried out again with all the fungi of this genus and the percentage of incidence was calculated with the number of lesions caused by the pathogen.

In vitro antagonism tests

To find out which of the bacteria have the potential to control pathogens, in vitro dual culture tests were carried out, placing in the center of a Petri dish with sterile PDA medium a fragment of the pathogenic fungus obtained with a 0.5 cm diameter punch from a three-week-old colony of the fungus. To then inoculate the isolated bacteria by means of a bacteriological loop, these were placed in a circular way around the fungus in the outermost part of the dish, then they were left in incubation at 37 °C for a week or until the control completely covered the dish, 15 repetitions were made for each possible combination (Mohammadi et al., 2017). Once the incubation time has passed, the radii of the pathogen in confrontation and the controls were measured and used to calculate the percentage of radial inhibition (PIRG) (Reyes-Ramírez et al., 2011) using the following formula:

  

Where: RP= radius of the pathogen in confrontation; RT= radius of the control pathogen.

DNA extraction

For the extractions, spore suspensions of the fungi were first inoculated in 500 ml flasks with 250 ml of liquid culture medium (sucrose 20 g L-1, peptone 5 g L-1, yeast extract 5 g L-1 and sterile distilled water 1l) and were left in incubation for one week at 32 °C. After the incubation time, the culture media were filtered, then the recovered mycelium was placed in 1.5 ml microtubes. The extraction method with DNAzol® was used to purify the DNA, following the protocol proposed by Guo et al. (2005) with some modifications, consisting of macerating the sample with a plastic pestle after adding the DNAzol® and increasing the incubation time to 45 min. For the bacteria, test tubes were first inoculated with LB culture medium and incubated at 32 °C for two days. DNA extractions were performed using the DNAzol® kit, for this, the manufacturer’s instructions were followed.

Once the extractions of both fungi and bacteria were made, they were visualized. This was done by mixing 2 μl of sample and 2 μl of run blue buffer containing the stain for DNA SYBRGreen®. Then the samples were placed in a 1% agarose gel in a 14 OWL® electrophoresis chamber (8 cm x 15 cm) with SB buffer x1 (boric acid-NaOH) at a voltage of 100 for 15 min, after this the gel was placed in a UV light transilluminator and photodocumented using the Logitech webcam program.

PCR-sequencing

The amplification of the regions ITS1-5.8s-ITS2 of the nuclear DNA of the fungi and the 16S rRNA of the bacteria was carried out by PCR with the primers ITS1 (5’- TCCGTAGGTGAAC CTGCGG3’) and ITS4 (5’-TCCTCCGCTTATTGATATGC-3’) (White et al., 1990) for fungi, and primers Y1 (5’-CCAGCAGCCGCGGTAATACG-3’) and Y2 (5’- ATCGG(C/T) TACCTTGT TACGACTTC-3’) for bacteria (Lu et al., 2000). Each PCR reaction contains 21 μl of mix (Water 14.7, Buffer 10x 2.5, DNTPs 25mM, 0.25 μl, BSA 25x 1 μl), 2 μl of DNA, 2 μl of primers ITS1-4 for fungi or Y1-Y2 for bacteria and 0.3 μl of TaqPol for a final volume of 25.3 μl.

The PCR reaction was carried out in a BIO-RAD T-100TM thermal cycler, for this the following temperature cycles were used for the fungi: pre-denaturation of 5 min at 94 °C, followed by 30 cycles of denaturation at 95 °C for 1 min, annealing at 54 °C for 30 s and extension of 1 min at 72 °C and final extension of 5 min at 72 °C (Moo-Koh et al., 2017), for bacteria the cycles used were as follows: pre-denaturation of 10 min at 95 °C, followed by 30 cycles of denaturation at 95 °C for 1 min, annealing at 59.9 °C for 1 m and extension of 2 min at 72 °C and final extension of 1 min at 72 °C (Lu et al., 2000).

After obtaining the amplified products of both the ITS 1-2 region and the 16 S rRNA by PCR, they were sent to the faculty of science of the National Autonomous University of Mexico (UNAM, for its acronym in Spanish) for sequencing. The sequences obtained were edited with the BIOEDIT program and compared with sequences from the Gene Bank database of the National Center for Biotechnology Information using Basic Local Alignment Search Tool (BLAST). In addition, the CLC Sequence Viewer 8 program was used to perform a phylogenetic tree with the UPGMA method with which the sequences obtained were compared with Gene Bank sequences.

Resistance induction tests in prickly pear

Once it was determined which are the most effective bacterial isolates to control the pathogen in vitro and which are the isolated fungi with the highest percentage of pathogenicity, resistance induction tests were performed. For this, three prickly pear cladodes were placed in black bags for plants with peat moss as a substrate until they rooted, a total of eight bags were prepared. They were then inoculated with the chosen bacteria that were previously grown in 500 ml Erlenmeyer flasks with 250 ml of liquid culture medium containing sucrose (20 g L-1), peptone (30 g L-1), yeast extract (7 g L-1), KH2PO4 (1.9 g L-1) and MgSO4 (0.45 g L-1). The roots were inoculated with 10 ml of culture and 72 h later the cladodes were inoculated with the selected fungi (Swart et al., 2003).

Experimental design

The in vitro and in vivo antagonism experiments consisted of 15 repetitions per treatment and were performed using a completely randomized experimental design. All data obtained passed the tests of normality and homogeneity of variance and were compared with a one-way analysis of variance (Anova) and a Tukey comparison of means, both with a significance value of 0.05. All statistical analyses were performed with Excel 2016.

Results and discussion

Isolated fungi and bacteria

It was possible to isolate and identify a total of 33 fungi for both sites, 20 in the hydroponic module of the ITCV and 14 in the orchard in Gómez Farías. Neoscytalidium sp. was the most common genus at both sites as it is an abundant fungus as a pathogen in places with tropical climates, as mentioned by Souza et al. (2010); Souza et al. (2017). The genus Neoscytalidium sp. presented dark green colonies and they formed chain spores, cylindrical with a septum characteristic of the genus (Phillips et al., 2013). Other fungi isolated from prickly pear cladodes were Fusarium sp., which is considered the causative agent of ‘tip rot’ and for causing necrotic lesions in prickly pear (Swart and Kriel, 2002; Ammar et al., 2004; Souza et al., 2010).

The genus Alternaria sp., also isolated, causes the disease known as ‘golden disease’ and ‘dry rot’ and can cause necrotic lesions in prickly pear (Swart and Kriel, 2002; Swart et al., 2003; Méndez et al., 2007; Faedda et al., 2016). In addition, fungi of the genus Curvularia sp. were isolated, which is associated with circular brown to dark lesions with a velvety appearance (Flores et al., 2013). Finally, fungi of the genus Schizophyllum sp. were obtained., but this genus is not associated with any disease.

Moreover, 10 bacteria were isolated at both sampling sites, all belonging to the genus Bacillus sp., since all presented the typical characteristics of the genus, such as being catalase positive, and Gram positive, the colonies had irregular edges and when observed under the microscope, they were bacillary in shape (De Vos et al., 2009; Ruiz-Sánchez et al., 2014). Bacteria belonging to the genus Bacillus sp. were used in in vitro antagonism tests.

Molecular identification of fungi and bacteria

The sequences obtained from the isolates of Neoscytalidium sp. were compared in BLAST and isolates M7, M9, G81 and G112 had a similarity of 100% with the species Neoscytalidium dimidiatum, on the other hand, the sequences of M2, M3, M4, M5, M6 M8, M10, G42, G43, G11, G311 have a 100% similarity with sequences of the species Neoscytalidium hyalinum. When performing the phylogenetic analysis of the sequences and comparing them with sequences obtained from GenBank of the species N. hyalinum (MK387852.1 and MK387853.1), N. dimidiatum (KP132488.1 and KP132489.1), N. novaehollandiae (NR-111260.1 and MH863173.1) and N. orchidacearum (KY933091.1), it was observed that they were mostly related to sequences of fungi N. hyalinum and N. dimidiatum, so the isolated fungi were considered to belong to these species (Figure 1).

Figure 1. Phylogenetic tree of Neoscytalidium sp., based on sequences of the ITS 1-2 region, where Amanita muscaria (AB015700.1) was used as an external group (AB015700.1).

Originally, both N. dimidiatum and N. hyalinum were part of the genus Scytalidium sp., but currently these and other species are classified in the genus Neoscytalidium sp., which is a mixture between Scytalidium sp. and Fusicoccum sp., in addition, both N. hyalinum and N. dimidiatum are currently considered the same species (Phillips et al., 2013; Machado et al., 2014).

The phylogenetic analysis was performed with the sequences of the 16s rRNA of the bacteria with higher percentages of inhibition of in vitro tests, sequences G11, G21 and G31 were highly related to sequences of B. amyloliquefaciens (NR-041455.1 and NR-116022.1), considering that the isolated bacteria belong to species B. amyloliquefaciens (Figure 2).

Figure 2. Phylogenetic tree of Bacillus sp., based on sequences of the 16s region of rRNA, where Escherichia coli was used as an external group (NR-024570.1).

Pathogenicity tests and incidence percentages

In pathogenicity tests, fungi of the genus Neoscytalidium sp. caused the appearance of brown spots that turned to a darker color, which are the initial symptoms of ‘scaly rot’ (Souza et al., 2010; Feijo et al., 2019). Of the different isolates of Neoscytalidium sp., the G111 isolate presented a higher incidence with 93.33% and the isolates M10 and G93 had the lowest incidence percentages with 33.33%.

These differences are given by the ability of the plant to detect pathogens through proteins in the membranes of its cells called R proteins that serve to detect proteins produced by the pathogen known as Avr proteins (Ordeñana, 1998; Wiesel et al., 2014). In case there is a compatibility between the R proteins of the plant and the Avr proteins of the pathogen, a hypersensitivity reaction that causes programmed cell death and systemic acquired resistance as a defense in the whole plant is triggered, both mechanisms prevent or reduce the damage caused by the pathogen (Ordeñana, 1998; Durrant and Dong, 2004; Forouhar et al., 2005; Días, 2012).

In vitro antagonism

The radii obtained from the dual culture tests (Figure 3 and 4) were compared with an Anova test (0.05), showing significant differences among treatments (p≤ 0.05). When comparing the treatments using the Tukey test (0.05) (Table 1), it was observed that all bacteria significantly reduce the radius of the pathogen when comparing with the control and among the treatments, the G11 bacterium obtained significant differences with respect to the rest of the treatments, since it achieved the highest percentages of inhibition of the pathogen with an average of 50.09%. Likewise, the isolates G21 and G31 showed significant differences with most treatments, except each other, both have a mean percentage of inhibition of 41.84% and 41.73%, respectively. All bacterial isolates caused halos of inhibition because the bacterium releases antibiotics into the environment, with the most common being surfactins, iturins and fengycins (Villarreal et al., 2018).

Figure 3. In vitro antagonism tests by dual culture. A) G111vBMN3; B) G111vBMN21; C) G111vBMN22; D) G111vG11; E) G111vG21; and F) G111vG31.

Figure 4. In vitro antagonism tests by dual culture. G) G111vG51; H) G111vG52; I) G111vG53; J) G111vG54; and K) G111 control.

Table 1. Results of the Tukey test (0.05) of in vitro tests, treatments with the same letter have no significant differences.

Treatments

Averages

Control (G111)

4.24 ±0.053 a

G51

2.83 ±0.053 b

NM3

2.95 ±0.074 c

MN22

2.84 ±0.059 b

G52

2.93 ±0.074 c

G21

2.46 ±0.069 d

G54

2.7 ±0.056 e

G53

2.79 ±0.054 b

G11

2.11 ±0.065 f

MN21

2.83 ±0.057 b

G31

2.47 ±0.06 d

The differences in inhibition percentages observed in in vitro tests may be due to the amount of antibiotics produced by bacteria, for example Bacillus subtilis allocates 5% of its genome to produce antibiotics, while Bacillus amyloliquefaciens allocates 10% of its genome to the production of these (Chowdhury et al., 2015; Gond et al., 2015).

In vivo resistance induction tests

The diameters obtained in the experiments were used to perform a one-way Anova test (0.05), where it was found that they have significant differences (p≤ 0.05). When comparing the treatments with the Tukey test (0.05) (Table 2), the bacteria were shown to significantly reduce the damage caused by the pathogen. During induced resistance, the size of lesions caused by the pathogen is decreased due to the accumulation of PR proteins such as glucanases and chitinases (Wiesel et al., 2014; Canchignia et al., 2015). When comparing between treatments, bacteria G11, G21 and G31 showed no significant differences in reducing the damage caused by the fungus N. hyalinum.

Table 2. Results of the Tukey test (0.05) of the resistance induction test, treatments with the same letter have no significant differences.

Treatment

Average

Control (G111)

4.27 ±0.069 a

G11

0.39 ±0.075 b

G21

0.47 ±0.072 c

G31

0.45 ±0.07 bc

The G11 bacterium obtained an average value of 0.39 cm, in the treatment with the G21 bacterium an average of 0.47 cm was achieved, in the treatment with the G31 bacterium an average of 0.45 cm was reached and finally, the average of the diameters of the lesions of the control treatment was 4.27 cm. The genes that are activated in the prickly pear when resistance induction occurs are unknown (Figure 5). In corn plants inoculated with B. subtilis, the genes PR-1 and PR-4 are activated, while in lettuce plants when inoculated with B. amyloliquefaciens, the genes PR-1 and PDF1.2 are activated (Chowdhury et al., 2015; Gond et al., 2015). This activation causes an increase in the production of defense-related enzymes such as peroxidase, polyphenol oxidase and superoxide dismutase, which decrease or prevent damage caused by plant pathogens (Ongena et al., 2005; Chowdappa et al., 2013).

Figure 5. Resistance induction tests. A) control treatment inoculated with N. hyalinum (G111); B) treatment with G11 bacterium vs N. hyalinum; C) treatment with G21 bacterium vs N. hyalinum; and D) treatment with G31 bacterium vs N. hyalinum.

Conclusions

The isolated bacteria belonging to the genus Bacillus sp. managed to reduce the diameter of the pathogen N. hyalinum (G111) in the in vitro tests by antibiosis, with the isolates G11, G21 and G31, identified as B. amyloliquefaciens, standing out. The results obtained in the in vivo tests show that isolates are able to reduce the damage caused by N. hyalinum (G111). But, although the isolates of B. Amyloliquefaciens manage to induce resistance in prickly pear, it is unknown which are the antibiotics that the isolates G11, G21 and G31 produce and which PR genes they manage to activate in prickly pear, so future research should be focused on which are the antibiotics that the isolates G11, G21 and G31 produce and the PR genes they induce in prickly pear.

Cited literature

Ammar, M. I.; Shltout, A. M. and Kamhawy, M. A. 2004. Cladode and fruit rots of prickly pear (Opuntia ficus-indica L. Mill.) in Egypt. Egypt. J. Phytopathol. 32(1-2):119-128.

Canchignia, M. H. F.; Pinargote, C. B.; Peñafiel, J. M.; Carranza, P. M. S.; Prieto, B. O. y Gaibor, F. R. 2015. Respuesta de poblaciones microbianas que lideran el crecimiento en raíces y resistencia sistémica inducida. Ciencia y Tecnología. 8(2):1-11.

Chowdappa, P.; Mohan, K. S. P.; Jyothi, L. M. and Upreti, K. K. 2013. Growth stimulation and induction of systemic resistance in tomato against early and late blight by Bacillus subtilis OTPB1 or Trichoderma harzianum OTPB3. Biological Control. 65(1):109-117.

Chowdhury, S. P.; Hartmann, A.; Gao, X. W. and Borriss, R. 2015. Biocontrol mechanism by root associated Bacillus amyloliquefaciens FZB42 - A review. Front. Microbiol. 6(780):1-11.

De Vos, P.; Garrity, G. M.; Jones, D.; Krieg, N. R.; Ludwig, W.; Rainy, F. A. and Whitman, W. B. 2009. Bergey’s manual of systematic bacteriology-second. 3ra. Ed. The Firmicutes. Springer-Verlag New York. New York. USA. 1445 p.

Deising, H. B.; Reimann, S. and Pascholati, S. F. 2008. Mechanisms and significance of fungicide resistance. Braz. J. Microbiol. 39(2):286-295.

Días, P. L. N. 2012. Systemic acquired resistance induced by salicylic acid. Biotecnología en el sector agropecuario y agroindustrial. 10(2):257-267.

Durrant, W. E. and Dong, X. 2004. Systemic acquired resistance. Ann. Rev. Phytopathol. 42(1):185-209.

Faedda, R.; D’Aquino, S.; Granata, G.; Pane, A.; Palma, A., Sanzani, S. M. and Cacciola, S. O. 2016. Postharvest fungal diseases of cactus pear fruit in southern Italy. Acta Hortic. 1144:215-218.

Feijo, F. M.; Silva, M. J. S.; Nascimento, A. D.; Infante, N. B.; Ramos, S. R.; Assunção, I. P. and Lima, G. S. A. 2019. Botryosphaeriaceae species associated with the pickly pear cactus, Nopalea cochenillifera. Trop. Plant Pathol. 44:452-459.

Flores, F. R.; Velázquez, V. M. G.; León, R. R.; Flores, M. H. E. and Hernández, L. A. N. 2013. Identification of fungal species associated with cladode spot of prickly pear and their sensitivity to chitosan. J. Phytopathol. 161(7-8):544-552.

Forouhar, F.; Yang, Y.; Kumar, D.; Chen, Y.; Fridman, E.; Park, S. W. and Tong, L. 2005. Structural and biochemical studies identify tobacco SABP2 as a methyl salicylate esterase and implicate it in plant innate immunity. Proceedings of the National Academy of Sciences of the United States of America. 102(5):1773-1778.

Gond, S. K.; Bergen, M. S.; Torres, M. S. and White, J. F. 2015. Endophytic Bacillus spp. produce antifungal lipopeptides and induce host defence gene expression in maize. Microbiol. Res. 172:79-87.

Guo, J. R.; Schnieder, F.; Abd-Elsalam, K. A. and Verreet, J. A. 2005. Rapid and efficient extraction of genomic DNA from different phytopathogenic fungi using DNAzol reagent. Biotechnology Letters. 27(1):3-6.

Layton, C.; Maldonado, E.; Monroy, L.; Corrales, L. C. and Sánchez, L. C. 2017. Bacillus spp.; perspectiva de su efecto biocontrolador mediante antibiosis en cultivos afectados por fitopatógenos. Nova. 9(16):177.

Lu, J. J.; Perng, C. L.; Lee, S. Y. and Wan, C. C. 2000. Use of PCR with universal primers and restriction endonuclease digestions for detection and identification of common bacterial pathogens in cerebrospinal fluid. J. Clinical Microbiol. 38(6):2076-2080.

Machado, A. R.; Pinho, D. B.; De Oliveira, S. A. S. and Pereira, O. L. 2014. New occurrences of Botryosphaeriaceae causing black root rot of cassava in Brazil. Trop. Plant Pathol. 39(6):464-470.

Méndez, G. S. J.; Magaña, D. T. y Herrera, J. G. E. 2007. Identificación y control de las enfermedades más comunes en el nopal. Rev. Salud Pública y Nutrición. 14:105-113.

Mohammadi, P.; Tozlu, E.; Kotan, R. and Şenol, K. M. 2017. Potential of some bacteria for biological control of postharvest citrus green mould caused by Penicillium digitatum. Plant Protec. Sci. 53(3):134-143.

Moo-Koh, F. A.; Cristóbal-Alejo, J.; Reyes-Ramírez, A.; Tun-Suarez, J. M. y Gamboa-Angulo, M. 2017. Identificación molecular de aislados de Trichoderma spp. y su actividad promotora en Solanum lycopersicum L. Investigación y ciencia de la Universidad Autónoma de Aguascalientes. 25(72):5-11.

Nakkeeran, S.; Kavitha, K.; Chandrasekar, G.; Renukadevi, P. and Fernando, W. G. D. 2007. Induction of plant defence compounds by Pseudomonas chlororaphis PA23 and Bacillus subtilis BSCBE4 in controlling damping-off of hot pepper caused by Pythium aphanidermatum. Bio. Sci. Technol. 16(4):403-416.

Ongena, M.; Duby, F.; Jourdan, E.; Beaudry, T.; Jadin, V.; Dommes, J. and Thonart, P. 2005. Bacillus subtilis M4 decreases plant susceptibility towards fungal pathogens by increasing host resistance associated with differential gene expression. Appl. Microbiol.  Biotechnol. 67(5):692-698.

Ordeñana, K. M. 1998. Mecanismos de defensa en las interacciones planta-patógeno. Manejo Integrado de Plagas. 63:22-32.

Phillips, A. J. L.; Alves, A.; Abdollahzadeh, J.; Slippers, B.; Wingfield, M. J.; Groenewald, J. Z. and Crous, P. W. 2013. The Botryosphaeriaceae: Genera and species known from culture. Stud. Mycol. 76:51-167.

Reyes-Ramirez, A.; Ruiz-Sánchez, E.; Yam-Chimal, C. y Dzul-Chan, M. 2011. Selección de Bacillus spp. con actividad antagónica in vitro contra Macrophomina phaseolina (Tassi) Goid. en diferentes medios de cultivo. Fitosanidad. 15(2):117-121.

Ruiz, S. E.; Mejía, B. M. A.; Cristóbal, A. J.; Valencia, B. A. y Reyes, R. A. 2014. Actividad antagónica de filtrados de Bacillus subtilis contra Colletotrichum gloeosporioides (Penz.) Antagonistic activity of Bacillus subtilis vs Colletotrichum gloeosporioides (Penz.) resumen introducción. Rev. Mex. Cienc. Agríc. 5(7):1325-1332.

Santoyo, G.; Orozco, M. M. del C. and Govindappa, M. 2012. Mechanisms of biocontrol and plant growth-promoting activity in soil bacterial species of Bacillus and Pseudomonas: a review. Bio. Sci. Technol. 22(8):855-872.

Souza, A. E. F.; Nascimento, L. C. and Souza, B. O. DE. 2017. Principal Components of the intensity of squamous rot on prickly pear plantations in the semiarid region of the State of Paraíba, Brazil. Rev. Caatinga. 30(2):370-376.

Souza, A. E. F.; Nascimento, L. C.; Araujo, E.; López, E. B. and Souto, F. M. 2010. Ocorrencia e identificacao dos agentes etiologicos de doencas em palma forrageira (Opuntia ficus-indica Mill.) no semiárido paraibo. Biotemas. 23(3):11-20.

Spadaro, D. and Gullino, M. L. 2004. State of the art and future prospects of the biological control of postharvest fruit diseases. Inter. J. Food Microbiol. 91(2):185-194.

Swart, W. J. and Kriel, W. M. 2002. Pathogens associated with necrosis of cactus pear cladodes in south Africa. Plant Dis. 86(6):693-693.

Swart, W. J.; Oelofse, R. M. and Labuschagne, M. T. 2003. Susceptibility of south African cactus pear varieties to four fungi commonly associated with disease symptoms. J. Professional Association for Cactus Development. 5:86-97.

Valiente, M. y Pavone, D. 2013. Identificación de cepas del hongo Trichoderma spp. Por métodos moleculares. Faraute. 8(2):1-9.

Vallad, G. E. and Goodman, R. M. 2004. Systemic acquired resistance and induced systemic resistance in conventional Agriculture. Crop Sci. Soc. Am. 44:1920-1934.

Villarreal, D. M. F.; Villa, R. E. D.; Cira, Ch. L. A.; Estrada, A. M. I.; Parra, C. F. I. y De los Santos, V. S. 2018. El género Bacillus como agente de control biológico y sus implicaciones en la bioseguridad agrícola. Rev. Mex. Fitopatol. 36(1):95-130.

Wang, X.; Wang, L.; Wang, J.; Jin, P.; Liu, H. and Zheng, Y. 2014. Bacillus cereus AR156-induced resistance to Colletotrichum acutatum is associated with priming of defense responses in loquat fruit. PLoS ONE. 9(11):3-10.

Watanabe, T. 2010. Pictorial Atlas of Soil and Seed Fungi: Morphologies of Cultured Fungi and Key to Species. Third Edition. CRC Press Taylo and Francis Group. Boca Raton. Florida. USA. 426 p.

White, T. J.; Bruns, T. Lee, S. and Taylor, J. 1990. Amplification and direct secuencing of fungal ribosmal RNA genes for phylogenetics. In: Inns, M. A.; Gerlfand, D. H.; Sninsky J. J. and White, T. J. Ed. PCR Protocols: A Guide to methods and applications. San Diego, CA: Academic Press. San Diego. California. USA. 315-322 pp.

Wiesel, L.; Newton, A. C.; Elliott, I.; Booty, D.; Gilroy, E. M.; Birch, P. R. J. and Hein, I. 2014. Molecular effects of resistance elicitors from biological origin and their potential for crop protection. Frontiers in Plant Sci. 5:1-13.

Wilson, M. 1997. Biocontrol of aerial plant diseases in agriculture and horticulture: current approaches and future prospects. J. Ind. Microbiol. Biotechnol. 19(3):188-191.