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Article

Phenotypic and Molecular Analyses of Rhizoctonia spp. Associated with Rice and Other Hosts

by
Regina Faye C. Sandoval
1 and
Christian Joseph R. Cumagun
1,2,*
1
Institute of Weed Science, Entomology and Plant Pathology, College of Agriculture and Food Science, University of the Philippines Los Baños, College, Laguna 4031, Philippines
2
Molecular Phytopathology and Mycotoxin Research, University of Göttingen, Grisebachstrasse 6, 37077 Göttingen, Germany
*
Author to whom correspondence should be addressed.
Microorganisms 2019, 7(3), 88; https://doi.org/10.3390/microorganisms7030088
Submission received: 20 February 2019 / Revised: 11 March 2019 / Accepted: 15 March 2019 / Published: 19 March 2019
(This article belongs to the Special Issue Feature Papers in Environmental Microbiology)

Abstract

:
Forty-two Rhizoctonia isolates were collected from rice, mung bean, and grasses from Laguna, Philippines. Sixteen isolates were binucleate Rhizoctonia (BNR), while 26 were multinucleate Rhizoctonia (MNR). BNR isolates produced white to brown, small sclerotia (<1.0 mm) except for mung bean isolates. Twenty MNR isolates produced big (>1.0 mm), light to dark brown sclerotia, three produced salmon-colored masses in the medium, and three did not produce sclerotia. Twenty-three MNR isolates were identified as R. solani AG1-IA using specific primers. Deduced Internal Transcribed Spacer (ITS) sequences of BNR isolates D1FL, NVL, and ScNL shared 100, 97, and 100% identity with R. oryzae-sativae, respectively, while MNR isolates BMgL, IbMgL, and MaSL that produced salmon-colored masses shared 100, 90, and 100% identity with R. oryzae, respectively. Preliminary analysis of the DNA fingerprint patterns generated by repetitive-element PCR (rep-PCR) clustered the 42 isolates into three: R. solani, R. oryzae-sativae, and R. oryzae, together with Ceratobasidium sp. R. solani isolates were pathogenic on rice (TN1), barnyard grass, mungbean (Pagasa 3), and tomato (Athena), while R. oryzae and R. oryzae-sativae isolates were only pathogenic on rice, Echinochloa crus-galli, and tomato. R. solani and R. oryzae were found to be more virulent than R. oryzae-sativae.

1. Introduction

Rice is a staple food in many countries across the globe including the Philippines. In 2009, it was recorded that Filipinos eat an average of 123 kg of rice per person annually—which was among the highest in the world [1]. About 4.7 million hectares is planted with rice in the country, producing about 18.9 million metric tons [2].
Among the major constraints in rice production are diseases. Rice sheath blight caused by Rhizoctonia solani was the second most important pathogen of rice in rice-growing countries for the last two decades [3]. R. solani produce lesions on the sheaths; however, under favorable conditions, these lesions can extend to the upper sheaths and to the leaves and even to the panicle. The infected sheaths/leaves will then dry out and die faster resulting in a reduction in canopy leaf area, thereby reducing yield [4]. R. solani is present wherever rice is grown and is responsible for at least 5% yield loss [5]. When susceptible cultivars were planted in United States, a yield loss as high as 50% was observed [4]. In Asia, annual yield losses of 10% and 20% due to sheath blight are observed in India and Thailand, respectively [5]. In the Philippines, Dilla observed 3.59 to 27.01% (0.34 to 1.09 t/ha) and 3.16 to 28.62% (0.35 to 1.66 t/ha) yield reduction during the wet and dry seasons, respectively [6].
There are two minor sheath pathogens of rice, R. oryzae and R. oryzae-sativae, which cause sheath spot and aggregate sheath spot, respectively. Both are considered minor diseases of rice; however, in a field study in Australia, results showed that aggregate sheath spot could cause yield losses up to 20%, while sheath spot can cause losses up to 10%. These diseases are becoming increasingly important in temperate rice-growing regions due to the widespread cultivation of susceptible semi-dwarf and high-yielding cultivars [7]. Both sclerotia of R. oryzae and R. oryzae-sativae insurvived better in plant residue than in the soil [8]. Rhizoctonia spp. are soil inhabitants which play various roles in the ecosystem as saprophytes, symbionts, and pathogens [9]. The genus exists primarily as sterile mycelium with varied forms and sizes of sclerotia and may either be uni-, bi-, or multinucleate [10]. R. solani is a complex species, wherein its isolates are further divided into anastomosis groups (AGs), based on the ability of the hyphae to fuse with the hyphae of a tester isolate. The complexity of R. solani does not stop at AGs because some AGs are further divided into subgroups based on cultural morphology, host range, virulence, and genetic characters [11].
Variability and diversity studies on R. solani associated with rice, as well as other economically important hosts, were conducted worldwide [12,13,14,15,16]. Using Inter Simple Sequence Repeat (ISSR) markers, large variation was found among rice-infecting isolates of R. solani AG1-IA in north India [17]. In Bangladesh, significant variation was observed in sclerotial size, shape, and distribution of 18 isolates of R. solani in rice [18]. In China, 43 haplotypes of R. solani, all pathogenic on five cultivars of rice, were identified based on Internal Transcribed Spacer (ITS) sequencing with high levels of diversity [19]. In the Philippines, the distribution of vegetatively compatible populations (VCPs) of Rhizoctonia solani AG1-IA in an experimental field planted with different host species at the Institute of Plant Breeding (IPB) at the University of the Philippines Los Baños (UPLB) was studied by Pascual and Hyakumachi [20]. A single VCP dominating the large experimental plot was observed, which does not conform to observations made in a neighboring Internartional Rice Research Institute (IRRI) experimental farm in Los Baños, as well as in other upland farms in Luzon, Philippines, where different VCPs were observed. Available resources on variability studies on R. solani in the Philippines are very limited, and this can be considered as one gap in the knowledge on Philippine R. solani population.
The variability in this pathogen complex increases the difficulty encountered by researchers in developing resistant host genotypes and deploying tolerant varieties [3]. Knowing the variability in a pathogen population will be helpful for researchers in breeding programs. Knowing the variability in the virulence pattern of the pathogen also helps in the evaluation and identification of resistant and susceptible genotypes. This study aimed to assess the variability in Rhizoctonia spp. causing sheath diseases in rice and its pathogenicity to other hosts. Specifically, it aimed to isolate Rhizoctonia spp. from rice and alternate hosts from irrigated lowland rice cropping systems in Laguna, Philippines; to characterize the isolates based on their colony morphology, as well as hyphae and sclerotial characteristics; to assess the genetic variability among the isolates using molecular techniques; and to evaluate the pathogenicity and assess the virulence pattern of Rhizoctonia spp. against rice and other hosts such as barnyard grass (alternate host), tomato, and mungbean. Tomato is a major host crop of the pathogen and mungbean is widely used as a rotation crop after rice in farmers’ fields in the Philippines.

2. Materials and Methods

2.1. Sample Collection and Isolation

Rice plants with sheath blight symptoms were randomly collected from the rice-producing areas in the southern part of Laguna province. Samples with at least two plants were collected from 59 barangays from 16 towns in Laguna and one town in Quezon. Weeds showing sheath blight symptoms were also collected and processed in the laboratory. Mungbean plants with dry stem rot were also collected from the experimental sites of National Crop Protection Center and Crop Science Cluster, both located at the University of the Philippines Los Baños, College, Laguna (UPLB). The samples were washed with running tap water to remove soil and other debris and blot dried. A 5 mm × 5 mm portion of the advancing region of the lesion (half healthy and half diseased) was cut and surface sterilized in 0.5% sodium hypochlorite for 1 min, followed by rinsing in sterile distilled water (sterile distilled H2O) three times. The cut leaf tissues were blot-dried in sterile filter paper or tissue and planted on water agar (WA). Hyphal tips with more or less perpendicular branching were transferred to potato dextrose agar (PDA) slants.
Isolates for preliminary identification were grown in PDA plates. Agar blocks of 48-h-old cultures were mounted in water to observe the mycelial and branching characteristics of the isolates. The following distinct morphological characters were observed: mycelia branched at acute to right angles, constrictions at the point of branching or near the point of branching, and septum formation near the branching point. The isolates were purified and maintained on PDA slants until further use.

2.2. Culture Characterization

Cultures were grown on PDA for 10 days and the following cultural characteristics were observed: colony color, growth pattern (abundant, moderate, or scarce), and sclerotial formation pattern (central, peripheral, or scattered). The diameter of sclerotia from 10-day-old cultures was also be measured (20 observations/isolate) using a ruler. Radial growth rate was also measured at 24, 48, and 72 h of incubation after inoculation. The characterization was conducted twice with three replicates per isolate per trial. Based on average colony growth diameters, the isolates were classified into fast (>65 mm), medium (60–65 mm), and slow (40–59 mm) growers, following the groupings by Lal et al. [15].

2.3. Microscopic Examination

The hyphal characteristics were also evaluated. The isolates were grown on a thin layer of PDA. An agar block (10 × 10 mm) was cut near the center of 48-h-old culture and rubbed lightly with a drop or two of wetting solution (1 mL of Tween 20 and 1 mL of 85% lactic acid in 1000 mL of dH2O). The mycelia of Rhizoctonia spp. were hydrophobic; thus, the agar blocks were first rubbed with wetting solution (WS) to be able to properly mount it in water. Excess wetting solution was removed by placing a tissue paper on the sides of the block and a drop or two of distilled water was added. The hyphal width was measured (20 observations/isolate) at 40× using the software DinoCapture 2.0 of the Dino-Eye eyepiece camera (AnMo Electronics Corporation, 17F, No. 97, Sec. 4, ChongHsin Rd., Sanchong Dist., New Taipei City, Taiwan). The formation of septa, and the constriction and angle of branching were also observed. Nuclear staining was done following the protocol of Herr [21]. An agar block (10 mm × 10 mm) with the hyphal tips of 48-h-old isolates on PDA was cut and rubbed with WS. Excess WS was removed and the agar blocks were stained with 0.5% aniline blue in lactophenol for 5 to 15 min. The hyphae were examined microscopically at 40× and the number of nuclei found in each cell was counted. Twenty cells were randomly selected from a location of strain gradient where nuclei and septa could be clearly observed. Aniline blue (0.5%) was used to stain 24-h-old hyphal tips and the number of nuclei present in each cell was counted [21].

2.4. DNA Extraction

The genomic DNA was extracted using the protocol by Cenis [22] with slight modification. A 1.5-mL microcentrifuge tube was filled with 500 μL of potato dextrose broth (PDB) and inoculated with hyphal threads of Rhizoctonia spp. The culture was allowed to grow for 72 h at 25 °C. The tubes were centrifuged for 5 min at 13,000 rpm to collect the mycelia, washed with 500 μL of Tris-ethylenediaminetetraacetic acid (EDTA) buffer and then pelleted again. The buffer was decanted and 300 μL of extraction buffer (200 mM Tris-HCl, pH 8.5, 250 mM NaCl, 25 mM EDTA, and 0.5% SDS) was added. The pelleted mycelium was crushed using a sealed 100–1000-μL micropipette tip (the tip was flamed for a few seconds until the micropipette tip melted and was sealed). Then, 150 μL of 3 M sodium acetate (pH 5.2) was added and tubes were placed at −20 °C for 10 min. Samples were centrifuged and the supernatant was transferred to a new tube. An equal volume of isopropanol (~450 μL) was added and allowed to stand at room temperature for at least 5 min. Precipitated DNA was collected by centrifugation at 13,000 rpm for 5 min. The DNA pellet was washed with 500 μL of 70% EtOH by flicking and was then centrifuged again to collect the DNA pellet. The alcohol was decanted, and the pellet was air-dried (approximately 30 min) and resuspended in Tris-EDTA buffer. The samples were kept at −20 °C until further use.

2.5. Detection of AG1-IA Isolates Using Specific Primers

A region of the 28S ribosomal DNA unit was amplified using primers specific for R. solani subgroup AG1-IA. Isolates belonging to the said subgroup produced amplicons of approximately 265 bp. Genomic DNA from test AG1-IA and AG1-IG isolates were used as positive and negative checks, respectively. The primer pairs R. solani AG-common primer (forward) AG-C 5′–CTCAAACAGGCATGCTC–3′ and R. solani subgroup-specific primer AG1-IA (reverse) 5′–CAGCAATAGTTGGTGGA–3′ were used for the PCR reaction as described by Matsumoto [23].

2.6. Amplification of ITS 1–5.8S–ITS 2 Regions

Fragments of the ribosomal DNA (rDNA) gene were amplified using primer pairs ITS 1 (5′ TCC GTA GGT GAA CCT GCG G 3′) and ITS 4 (5′ TCC TCC GCT TAT TGA TAT GC 3′) for forward and reverse reactions, respectively [24]. The 25-µL PCR cocktail mix was prepared with the following reagents: 12.5 µL of 2× Taq Master Mix (Vivantis), 0.5 µL each of forward and reverse primers (100 pmoL), 100 ng of genomic DNA, and nuclease-free water (Vivantis). The thermal cycler was programmed as follows: initial denaturation at 94 °C for 1 min; 94 °C for 15 s, 58 °C for 15 s, and 72 °C for 15 s for 30 cycles; 72 °C for 7 min for final elongation. The amplicons were resolved in 1% agarose gel and run at 100 V for 40 min. Amplicons of selected isolates were sent out to First BASE Laboratories Sdn Bhd (No. 7-1 to 7-3, Jalan SP 2/7, Taman Serdang Perdana, Seksyen 2, 43300 Seri Kembangan, Selangor, Malaysia) for sequencing services.

2.7. Analysis of ITS Sequences

Based on the chromatogram, noisy portions of the sequences were removed using the BioEdit sequence alignment editor. Edited sequences were submitted as a nucleotide query at the Basic Local Alignment Search Tool (BLAST) of the National Center for Biotechnology Information (NCBI).

2.8. DNA Fingerprinting of Rhizoctonia Isolates Using Repetitive-Element PCR (Rep-PCR)

Genetic variability among the isolates was analyzed using Rep-PCR [25], following the protocol used by Aye and Matsumoto [12]. Primers BOX repeat-based (BOXA1R) (5′–CTACGGCAAGGCGACGCTGACG–3′) were used separately for Rep-PCR analysis. A 25-µl PCR mix was prepared with 12.5 µL of 2× Taq Master Mix (Vivantis), 1.25 µL of primer (100 pmoL/µL), 3.5 µL of nuclease-free water (Vivantis), and 1.0 µL of genomic DNA (50 ng/µL). The thermal cycler was programmed as follows: initial denaturation at 95 °C for 7 min; 94 °C for 1 min, 52 °C for 1 min, and 72 °C for 8 min for 30 cycles; 72 °C for 16 min for final extension. Amplified products were resolved in 1% agarose gel and stained with Gel Red and viewed using an ultraviolet (UV) transilluminator.
Inconsistencies with the DNA fingerprint patterns were observed during the study. For BOXA1R, eight to 13 bands were observed during the first trial; however, when the samples were run for the second time, only two to five fragments were observed. For preliminary analysis, only the DNA fragments produced during the first trial for BOXA1R were analyzed. The patterns were scored based on the presence (1) or absence (0) of a band at a specific place. The scores were analyzed using PAST (Paleontological Statistics Version 3.11, Natural History Museum, University of Oslo) and a dendrogram were generated from the cluster analysis of the results, generated by similarity coefficients using the unweighted pair group arithmetic average (UPGMA) analysis.

2.9. Pathogenicity Test

Rice: Representative isolates that were used for pathogenicity and virulence studies were selected based on growth rate and size of sclerotia. Mycelia discs (10 mm in diameter) were excised from three-day-old mycelia culture grown on PDA. Pathogenicity and virulence evaluation on rice was done using the micro-chamber screening method developed by Jia et al. [26]. The susceptible (TN1) rice variety was used. Rice seeds were soaked in water for 48 h and transferred to seedling pans. Seven-day-old seedlings were transferred to sealed clay pots. Three seedlings were planted at least 3 cm apart per pot with three pots (replicates). The seedlings were inoculated during the V3 stage or at approximately 20 days after emergence. The experiment was conducted three times.
Following the rapid micro-chamber screening method developed by Jia et al. [26], mycelial discs were placed and pressed to the base of the stem and wrapped with Parafilm to ensure that the mycelium was in contact with the plant. A PDA disc was used as negative control. Each pot was covered with a soft-drink bottle (clear or green) from which the bottom and cap were removed. The bottle was pushed down into the soil to create a micro-humidity chamber. The pots were arranged in a completely randomized design. During the days where temperature was forecasted to exceed 38 °C, the bottles were removed before noon and returned before sunset. Seedlings were cut at the ground line after 10 days, and lesion length was measured, as well as the length of the culm. The relative lesion height (RLH) was calculated by dividing the lesion height by the plant height and multiplying by 100. The RLHs were tested for the presence of outliers, normality (Shapiro–Wilk), and homoscedaticity (Levene’s). Only trials 1 and 2 passed the three tests (assumptions for ANOVA); thus, the data were combined, and one-way ANOVA was carried out using SPSS.
Mungbean: Mungbean seeds var. Pag-asa 3 (Institute of Plant Breeding, UPLB) were allowed to germinate on moist filter paper in petri dishes at room temperature for two days. Seedlings with similar germination rate were transferred to 15-cm-diameter plastic pots. Two seedlings were planted per pot with three pots (replicates) per trial. Ten-day-old seedlings were inoculated following the same procedure used in rice. The experiment was conducted twice. The same parameters and statistical analysis as in rice were employed.
Tomato: A true expanded leaf of 21-day-old tomato seedlings var. Athena (Condor Hybrid Seeds) were inoculated with filter paper discs (previously grown with mycelia Rhizoctonia spp.). The mycelial filter paper discs were stapled onto the leaf, and plants were again covered with soft drink bottles to create a micro humidity chamber. The inoculated plants were incubated for five days and disease severity (DI) was scored using an ordinal scale of 0–5, following the protocol by Castroagudin [27]. The scale represents a range of percentages of plant area affected (aa) with necrosis and/or chlorosis, where 0 = no infection, 1 = >0.0 to 15% aa with chlorosis and/or necrosis, 2 = >15 to 30% aa with chlorosis or necrosis, 3 = >30 to 60% aa with chlorosis or necrosis, 4 = >60 to 90% aa with chlorosis or necrosis, and 5 = > 90 to 100% aa with chlorosis or necrosis or dead plant.
The ordinal values were transformed into a continuous variable using the midpoint method and scoring scale by Castroagudin [27]. The following scale was used for scoring disease severity (DI) with corresponding midpoint (mp) value: 0 = 0% aa (no infection), mp = 0.0; 1 = >0.0 to 15.0% aa, mp = 8.0; 2 = >15.1 to 30.0% aa, mp = 23.0; 3 = >30.1 to 60.0% aa, mp = 45.5; 4 = >60.1 to 90% aa, mp = 75.5; 5 = >90.1 to 100% aa or dead plant, mp = 95.5. The same statistical analysis as in rice and mungbean was employed.
Barnyard grass: The pathogenicity of selected Rhizoctonia isolates was also tested on Echinochloa crus-galli, a common and widespread weed in paddy rice fields. Field-collected panicles were sun-dried, and seeds were transferred to sealed germinating pans. Very low germination rate was observed; thus, another procedure was tried. The sun-dried seeds were placed in moist filter paper just like in mungbean; however, again, very low germination rate was observed. When the leftover seeds were again submerged in water in sealed germinating pans, high germination rate was finally observed. It was found out that E. crus-galli seeds undergo a dormancy period of 3–4 months. Unfortunately, due to a lack of seeds, only one trial was conducted. Twenty-day-old seedlings were inoculated with mycelial discs using the same procedure in rice, with two seedlings per pot and three pots (replicates) per treatment. The same parameters and statistical analysis as in rice were employed. The isolates failed the Levene’s test; thus, the robust tests for equality of means, Welch and Brown–Forsythe, were carried out. Since the comparison of means between isolates was significantly different (p = 0.000) for both tests, as well as ANOVA, post hoc analysis was carried out with Scheffe’s test.

3. Results and Discussion

3.1. Collection and Isolation

Samples with sheath blight symptoms were collected from 59 barangays from 16 towns in Laguna and one town in Quezon. Forty-two Rhizoctonia spp. were isolated from rice, mungbean, and two grasses (Table 1). Duggar [28] described the concept of species of R. solani with young hyphae branching at an acute to right angle, with slight constriction at the point of branching, and septum formed near the constriction point [29]. These three characteristics were observed in all the isolates; thus, they were initially identified as Rhizoctonia spp. (Figure 1, Figure 2, Figure 3 and Figure 4).

3.2. Culture Characterization

Among the 42 isolates, 29 had fast mycelial development, 11 had medium development, and two showed slow mycelial development (Table 1). Most of the isolates produced light-brown cultures with moderate mycelial growth. Only four (ALQ, LiMgL, BPL, and SPL) isolates were observed to have abundant mycelial growth while three (BMgL, SfVL, and D1FL) had scarce mycelial growth. One (SfVL) isolate produced a whitish-brown culture, while five (IbMgL, MCL, MaSL, BIG, and NCPC) were yellowish brown, one (SPL) was brown, and one (BMgL) was light salmon (Table 1). R. solani isolates are known as fast growers that produce hyaline mycelia when young, which eventually turns yellow to brown with age (Gnanamanickam 2009).

3.3. Sclerotia Characterization

Sixteen isolates (38%) were observed to be binucleate Rhizoctonia, while 26 (62 %) were multinucleate (Figure 5, Table 2). The binucleate Rhizoctonia produced white to brown, small sclerotial bodies (<1.0 mm) but in excellent (>70 sclerotia/plate) number, except for mungbean isolates BIG and NCPC, which did not produce sclerotial bodies. Among the 25 multinucleate Rhizoctonia, 20 produced big (>1 mm) light-brown to dark-brown sclerotial bodies in fair (1–10) to very good (41–60) amounts, three produced salmon-colored masses that were embedded in the growth medium (BMgL, IbMgL, and MaSL), and three did not produce sclerotial bodies (LScL, PScL, and TaVL).
R. solani isolates, specifically those belonging to subgroup AG1-IA, produced brown to dark-brown sclerotia that were relatively spherical and large (1–3 mm) [30]. R. oryzae-sativae produced globose, white to brown sclerotia with a diameter of 0.5 to 2 mm, while R. oryzae produced salmon-colored sclerotia on formless masses that were waxy, soft, and usually embedded in the agar [7].
The sclerotial bodies were formed in central, peripheral, scattered, or ring patterns. Twenty-eight of the isolates had sclerotia scattered all over the plates. Five had sclerotia formed at the center. The peripheral formation pattern was observed for three isolates, and two isolates had a ring pattern. The hyphal width of 48-h-old cultures was measured using DinoCapture 2.0. Agar blocks were mounted in distilled water and 20 observations were recorded per isolate. The average hyphal widths of the isolates ranged from 4.60 to 9.43 µm. Hyphal widths of R. solani, R. oryzae, and R. oryzae-sativae generally range from 8–12 µm [31], 6–10 µm, and 3.5–7.0 µm [7], respectively. Thirty-eight Rhizoctonia spp. were isolated from rice, wherein three were suspected as R. oryzae (teleomorph: Waitea circinata) (8%), 13 (34%) as R. oryzae-sativae (teleomorph: Ceratorhiza oryzae-sativae), and 22 (58%) as R. solani (teleomorph: Thanatephorus cucumeris), based on cultural and microscopic characteristics. Three representative isolates each from the suspected R. solani (BPgL, IbMjL, and QPaL) and R. oryzae-sativae (D1FL, NVL, and ScNL) isolates were chosen for pathogenicity and virulence determination on rice and other hosts. The three suspected R. oryzae (BMgL, IbMgL, and MaSL) isolates, along with the non-rice Rhizoctonia spp. isolates (BIG, NCPC, LiMgL, and MCL), were also further characterized molecularly and phenotypically.

3.4. Direct Detection Using Specific Primers

Isolates belonging to the subgroup AG1-IA are expected to produce a 265-bp band. Test cultures of AG1-IA and AG1-IG were used as positive and negative checks, respectively. The positive check AG1-IA produced a ~250-bp band (Figure 6, lane 21), while the negative check AG1-IG did not produce any band (Figure 6, lane 22).
Among the 42 isolates, 23 (55%) were identified as R. solani AG1-IA as they produced a band size of ~250 bp, similar to that produced by the positive check (AG1-IA). These isolates were multinucleate and they produced large, brown sclerotial bodies. Bands of ~250 bp were not observed for binucleate Rhizoctonia and presumed R. oryzae isolates.
Pairings of anastomosis groups (AG) are usually used to identify the subgroup of R. solani isolates; however, the technique is tedious and requires a lot of practice. This direct detection method developed by Matsumoto [23] was found to be a helpful tool in the identification of R. solani AG1-IA isolates in this study. R. solani AG1-IA, the causal organism of rice sheath blight, is the most common among the Rhizoctonia AGs and is considered a significant pathogen that causes major economic impact in many major rice-growing countries [12]; thus, correct and rapid identification of the pathogen is important.

3.5. Amplification of ITS 1–5.8S–ITS 2 Regions

Thirty-six isolates produced a band size of approximately 700 bp (Figure 7). The deduced ITS sequences (Table 3) of the representative isolates from binucleate Rhizoctonia (D1FL, NVL, and ScNL) shared 97–100% identity with Ceratorhiza oryzae-sativae (anamorph: Rhizoctonia oryzae-sativae). Isolate LiMgL from E. crus-galli also produced a 700-bp band and shared 97% identity with R. solani. A representative sample from the detected R. solani AG1-IA isolates (IbMjL) shared 99% identity with R. solani f. sp. sasakii. The remaining six isolates produced a band size of approximately 650 bp (Figure 7, lanes 7–10). Based on the deduced ITS sequences (Table 3), isolates BMgL and MaSL shared 100% identity with Waitea circinata (anamorph: Rhizoctonia oryzae), while IbMgL shared only 90% similarity with W. circinata. Isolates MCL, BIG, and NCPC shared 98, 99, and 99% identity with Ceratobasidium sp. AG-Ba, AG-L, and AG-A, respectively.

3.6. Rep-PCR

Repetitive-element polymerase chain reaction (Rep-PCR) was conducted using BOXA1R primer and a dendrogram was generated from the fingerprint patterns (8–13 bands) produced by the 42 isolates (Figure 8). Based on the dendrogram, the isolates were clustered into three groups (at 2.9 similarity index) with relatively low bootstrap values. Identified R. solani AG1-IA isolates were clustered into one group, while the presumed R. oryzae-sativae isolates were also grouped together (Figure 9). The R. oryzae isolates were clustered together with the Ceratobasidium sp. It can be observed from the dendrogram that most of the closely related isolates do not belong to the same municipality, just like isolates BPgL, IbMjL, and QPaL, which were collected from Pagsanjan, Majayjay, and Paete, Laguna, respectively.

3.7. Pathogenicity Test

Rice: Among the nine rice and one grass isolates tested, R. solani isolate LiMgL from barnyard grass was the most virulent with a mean relative lesion height (RLH) of 51.41%, which was significantly higher than the RLHs of all the other isolates tested (Table 4). The RLH of R. solani isolates BPgL, IbMjL, and QPaL, as well as those of R. oryzae isolates BMgL, IbMgL, and MaSL, were not significantly different from each other. The RLHs of Ceratorhiza oryzae-sativae isolates D1FL, NVL, and ScNL were significantly lower than those of R. solani and R. oryzae isolates.
R. solani causes sheath blight of rice, which is considered as a major constraint to rice production [3], while R. oryzae and R. oryzae-sativae causes sheath spot and aggregate sheath spot of rice, respectively, which are only considered as minor diseases of rice. R. oryzae isolates were found to be equally virulent with R. solani rice isolates based on the observed RLHs. In the Philippines, Shahjahan et al. [32] observed R. oryzae in 10% of the rice fields they surveyed. The R. oryzae-sativae isolates were the least virulent; however, since they comprised 38% of the rice isolates randomly collected in this study, it does not make them a less important group of Rhizoctonia pathogens. Based on our knowledge, this is the first report of R. oryzae-sativae in the Philippines. The other binucleate Rhizoctonia (Ceratobasidium sp. AG-Ba, AG-L, and AG-A) were also tested for pathogenicity on the susceptible variety, TN1. Isolates BIG, MCL, and NCPC can also infect rice but were only able to produce very small lesions in some of the test plants with mean RLHs of 4.39%, 5.86%, and 4.38%, respectively. The RLHs of the three isolates were not included in the ANOVA since they failed the test for normality. The 13 Rhizoctonia isolates used in the experiment were successfully re-isolated from the test plant, thus confirming their pathogenicity on rice.
A Pearson product–moment correlation analysis was run to determine the relationship between growth rate and relative lesion height. The data did not violate tests for normality, linearity, and homoscedasticity. Results showed that there was a strong positive correlation between growth rate and pathogen virulence (as evaluated by relative lesion height), which was very highly significant (r = 0.817, n = 10, p < 0.0005).
Barngrass: Pathogenicity and virulence of the 13 selected Rhizoctonia isolates were evaluated using the micro chamber method used in rice. Sheath blight symptoms were observed in plants inoculated with all the isolates except for BIG. The pathogenicity of the 12 isolates was confirmed by re-isolating the Rhizoctonia pathogen from the test plants. The RLHs were again tested for the presence of outliers, normality, and homoscedasticity. Since all the 12 pathogenic isolates failed Levene’s test for homogeneity of variance, the Welch and Brown–Forsythe robust tests of equality of means were carried out. Since the comparison of means between isolates was significantly different (p = 0.000) for both robust tests, as well as for ANOVA, post hoc analysis was carried out with Scheffe’s test.
Isolates BPgL and QPaL were the most virulent against barnyard grass with mean RLHs of 58.78% and 58.08%, respectively. The RLHs of BPgL and QPaL were not significantly different from those of IbMjL, BMgL, IbMgL, MaSL, and LiMgL, but were significantly higher than those of binucleate Rhizoctonia. The results show the ability of E. crus-galli to serve as a good alternate host for Rhizoctonia spp. during the fallow period or when fields are planted with tolerant to moderately resistant rice varieties. E. crus-galli is included in the global compendium of weeds and is considered as the world’s worst weed in rice paddies [33]. In Laguna, Philippines, Furoc et al. [34] were able to collect 3.88 to 11.07 t/ha of grasses and broadleaf weeds with E. crus-galli being the dominant species.
Sheath blight is one of the most widely spreading diseases in paddy fields, as its causal pathogen, R. solani, not only infects rice, but also other paddy weeds like Arachis hypogea, Cyperus iria, E. colonum, and E. crus-galli, among others. The presence of sclerotial inoculum in soil, as well as in infected weeds in and around the fields, may help in spreading the disease, since symptoms in rice are usually observed near the bunds of rice fields where the infected weeds were growing [35]. Very low germination rates (only five out of 200) were encountered during the first attempts in this study. During the third attempt to set up the experiment, high germination rates were observed, but germination was not synchronized; thus, it was difficult to get enough plants of the same height to be used in a single trial. Due to limited availability of seeds, only one trial was conducted. E. crus-galli seeds can easily be collected from rice fields during the milking to harvesting stage, but E. crus-galli undergoes a dormancy period of three to four months [33], explaining the very low germination rates experienced during the first attempts.
Pearson product–moment correlation analysis was run to determine the relationship between the virulence level of selected Rhizoctonia isolates on rice variety TN1 and E. crus-galli. A strong, positive correlation was observed between the virulence levels on rice variety TN1 and E. crus-galli, which was very highly significant (r = 0.889, n = 10, p < 0.0005).
Mungbean: Only the R. solani isolates BPgL, IbMjL, QPaL, and LiMgL, and the mungbean isolates BIG and NCPC were pathogenic on mungbean. R. oryzae, R. oryzae-sativae, and Ceratobasium sp. isolates did not produce any lesions on the plant. The RLHs for mungbean were not normally distributed; thus, a Kruskal–Wallis H Test was used instead of one-way ANOVA. Results of the test showed that there was no significant difference in the RLHs among the different isolates (x2(2) = 0.261, p = 0.967) with a mean rank score of 24.08 for BPgL, 25. 42 for IbMjL, 23.00 for QPaL, and 25.50 for LiMgL. Only the RLHs for R. solani isolates were used in the analysis, because, out of the 12 plants inoculated with BIG for the two trials conducted, only three plants produced lesions, while, in those inoculated with NCPC, only one was observed with blighting on the stem. However, pathogenicity of BIG and NCPC, and the other four isolates was confirmed, since the pathogens were successfully re-isolated from the test plants.
Mungbean is widely grown in southeast Asia, Africa, South America, and Australia [36]. In the Philippines, it is recommended to grow mungbean after rice because it presents a good opportunity for farmers to earn additional income as the agricultural input needed by mungbean production is minimal [37]. Fortunately, the R. oryzae and R. oryzae-sativae isolates were found to be non-pathogenic on mungbean, but the R. solani isolates were pathogenic. Mungbean may also serve as a relay host for R. solani from rice since it is a soil-borne pathogen and infected rice stubbles are just left in the field. Butranu [38] evaluated the carrying capacity of component crops (rice, mungbean, and corn) of R. solani inoculum in relation to multiple cropping in field experiments conducted at the International Rice Research Institute (IRRI) in Los Baños, Laguna. Higher sheath blight intensity was observed for the mungbean–rice–mungbean cropping pattern with minimal cultural practices than for the corn–rice–mungbean cropping pattern, because the mungbean–rice–mungbean cropping pattern had higher carrying capacity of viable sclerotia than the corn–rice–mungbean cropping pattern.
Tomato: All the inoculated Rhizoctonia isolates were found to be pathogenic on tomato using the micro chamber humidity set-up. The rating used was an ordinal scale; thus, the scores were transformed to a continuous variable using the midpoint method. The transformed scores were tested for the presence of outliers, normality, and homoscedasticity. The scores were not normally distributed; thus, instead of one-way ANOVA, the Kruskal–Wallis H Test was used. Results showed that there were significant differences in the disease indices among the different isolates (x2(2) = 59.091, p = 0.000), with a mean rank score of 20.50 for isolates LiMgL, D1FL, NVL, and ScNL, 26.00 for BMgL, 31.50 for MaSL, 37.00 for NCPC and MCL, 48.00 for IbMgL, 53.50 for BIG, 62.75 for IbMjL and QPaL, and 73.00 for BPgL (Table 4). R. solani and R. oryzae isolates were observed to be more virulent on tomato than R. oryzae-sativae isolates.
During the collection trips for this study, it was observed that tomato was also used as an alternate crop, along with string beans, radish, pechay, eggplant, and squash, to rice. The practice of alternating rice and vegetables was widely observed in Majayjay, Laguna, where vegetable production is quite favorable, since it is elevated compared to other rice-producing towns in Laguna. Since the Rhizoctonia isolates were also pathogenic on tomato, they can cause a problem in its production when conditions become favorable for disease development.
For the future outlook of this project, it would be worthwhile to test additional AG-1-IA isolates belonging to different genetic backgrounds in order to obtain a comprehensive picture of the pathogenicity of the isolates.

Author Contributions

Conceptualization, C.J.R.C.; Data curation, R.F.C.S.; Formal analysis, R.F.C.S.; Investigation, C.J.R.C. and R.F.C.S.; Methodology, C.J.R.C.; Project administration, C.J.R.C.; Resources, R.F.C.S.; Supervision, C.J.R.C.; Writing—original draft, R.F.C.S.; Writing—review & editing, C.J.R.C.

Funding

This research received no external funding. The APC was funded by the University of Göttingen.

Conflicts of Interest

The authors hereby declare no potential conflicts of interest.

References

  1. Santiaguel, A.F. Nourishing a nation. Rice Today. Int. Rice Res. Inst. 2013, 12, 11–14. [Google Scholar]
  2. Philippines Statistics Authority (formerly Bureau of Agricultural Statistics). BAS 2015. Available online: http://countrystat.bas.gov.ph (accessed on 25 May 2015).
  3. Adhipathi, P.; Singh, V.; Meena, S.C. Virulence diversity of Rhizoctonia solani causing sheath blight disease in rice and its host pathogen interaction. Bioscan 2013, 8, 949–952. [Google Scholar]
  4. IRRI Rice Knowledge Bank. IRRI (2015) Sheath Blight. Available online: http://www.knowledgebank.irri.org/training/fact-sheets/pest-management/diseases/item/sheath-blight (accessed on 25 May 2015).
  5. Gianessi, L.P. Importance of Pesticides for Growing Rice in South and South East Asia. International Pesticide Benefit Case Study 108. Crop Life Foundation. Available online: https://croplife.org/case-study/importance-of-pesticides-for-growing-rice-in-south-and-south-east-asia/ (accessed on 18 March 2019).
  6. Dilla, E.M. Yield Loss Due to Sheath Blight in Direct Seeded Rice as Affected by Plant Density, Nitrogen Level, and Amount of Inoculum; University of the Philippines Los Baños: Los Baños, Philippines, Unpublished work; 1993. [Google Scholar]
  7. Lanoiselet, V.M.; Cother, E.J.; Ash, G.J. Aggregate sheath spot and sheath spot of rice. Crop Prot. 2007, 26, 799–808. [Google Scholar] [CrossRef]
  8. Inagaki, K.; Tamura, M.; Makino, M. Overwintering in plant residues of rice sclerotial disease fungi, Rhizoctonia and Sclerotium species. Proc. Kansai Plant Prot. Soc. 1997, 29, 27–29. [Google Scholar]
  9. Arakawa, M.; Inagaki, K. Molecular markers for genotyping anastomosis groups and understanding population biology of Rhizoctonia species. J. Gen. Plant Pathol. 2014, 80, 401–407. [Google Scholar] [CrossRef]
  10. Agrios, G.N. Plant Pathology, 5th ed.; Elsevier Academic Press: New York, NY, USA, 2005; p. 952. [Google Scholar]
  11. Nadarajah, K.; Omar, N.S.; Rosli, M.M.; Tze, O.S. Molecular Characterization and Screening for Sheath Blight Resistance Using Malaysian Isolates of Rhizoctonia solani. Biomed Res. Intern. 2014, 2014, 434257. [Google Scholar] [CrossRef]
  12. Aye, S.S.; Matsumoto, M. Genetic characterization by REP-PCR of Myanmar isolates of Rhizoctonia spp., causal agents of rice sheath diseases. J. Plant Pathol. 2010, 92, 255–260. [Google Scholar]
  13. Dubey, S.C.; Tripathi, A.; Upadhyay, B.K. Molecular diversity analysis of Rhizoctonia solani isolates infecting various pulse crops in different agro-ecological regions in India. Folia Microbiol. (Praha) 2012, 57, 513–524. [Google Scholar] [CrossRef]
  14. Khodayari, M.; Safaie, N.; Shamsbakhsh, M. Genetic Diversity of Iranian AG1-IA Isolates of Rhizoctonia solani, the cause of rice sheath blight, using morphological and molecular markers. J. Phytopathol. 2009, 157, 708–714. [Google Scholar] [CrossRef]
  15. Lal, M.; Singh, V.; Kandhari, J.; Sharma, P.; Kumar, V.; Murti, S. Diversity analysis of Rhizoctonia solani causing sheath blight of rice in India. Afr. J. Biotechnol. 2014, 13, 4594–4605. [Google Scholar]
  16. Toda, T.; Hyakumachi, M.; Arora, D.K. Genetic relatedness among and within different Rhizoctonia solani anastomosis groups as assessed by RAPD, ERIC, and REP-PCR. Microbiol. Res. 1999, 154, 247–258. [Google Scholar] [CrossRef]
  17. Goswami, S.K.; Singh, V.; Kashap, P.L. Population genetic structure of Rhizoctonia solani AG1IA from rice field in North India. Phytoparasitica 2017, 45, 299–316. [Google Scholar] [CrossRef]
  18. Moni, Z.R.; Ali, M.A.; Alam, M.S.; Rahman, M.S.; Bhuiyan, M.R.; Mian, M.S.; Iftekharuddaula, K.M.; Latif, M.A.; Khan, M.A.I. Morphological and genetical variability among Rhizoctonia solani isolates causing sheath blight disease of rice. Rice Sci. 2016, 23, 42–50. [Google Scholar] [CrossRef]
  19. Wang, L.; Liu, L.M.; Hou, Y.X.; Li, L.; Huang, S.W. Pathotypic and genetic diversity in the population of Rhizoctonia solani AG1-IA causing rice sheath blight in China. Plant Pathol. 2015, 64, 718–728. [Google Scholar] [CrossRef]
  20. Pascual, C.B.; Hyakumachi, M. Distribution of vegetatively compatible populations in a field planted with different host species. J. Gen. Plant Pathol. 2000, 66, 206–209. [Google Scholar] [CrossRef]
  21. Herr, L.J. Practical nuclear staining procedure for Rhizoctonia-like fungi. Phytopathology 1979, 69, 958–961. [Google Scholar] [CrossRef]
  22. Cenis, J.L. Rapid Extraction of Fungal DNA for PCR Amplification. Nucleic Acid. Res. 1992, 20, 2380. [Google Scholar] [CrossRef]
  23. Matsumoto, M. Trials for direct detection and identification of Rhizoctonia solani AG1 and AG 2 subgroups using specifically primed PCR analysis. Mycoscience 2002, 43, 185–189. [Google Scholar] [CrossRef]
  24. Johanson, A.; Turner, H.C.; McKay, G.J.; Brown, A.E. A PCR-based method to distinguish fungi of the sheath-blight complex, Rhizoctonia solani, R. oryzae and R. oryzae-sativae. FEMS Microbiol. Lett. 1998, 162, 289–294. [Google Scholar] [CrossRef]
  25. Versalovic, J.; Schneider, M.; De Bruijn, F. Genomic fingerprinting of bacteria using repetitive sequence-based polymerase chain reaction. Methods Mol. Cell Biol. 1994, 5, 25–40. [Google Scholar]
  26. Jia, Y.; Correa-Victoria, F.; Mcclung, A.; Zhu, L.; Liu, G.; Wamishe, Y.; Xie, J.; Marchetti, M.A.; Pinson, S.R.M.; Rutger, J.N.; Correll, J.C. Rapid determination of rice cultivar responses to the sheath blight pathogen Rhizoctonia solani using micro-chamber screening method. Plant Dis. 2007, 91, 485–489. [Google Scholar] [CrossRef]
  27. Castroagudin, V.L. Genetic Diversity, Pathogenicity/Virulence Variation and Population Structure of Rhizoctonia spp. Associated with Rice Sheath Blight in Arkansas and QTL Mapping for Disease Resistance; University of Arkansas: Fayetteville, NC, USA, Unpublished work; 2012. [Google Scholar]
  28. Duggar, B.M. Rhizoctonia crocorum (Pers.) DC and Rhizoctonia solani Kühn (Corticium vagum (B & C) with notes and other species. Ann. Mo. Bot. Gard. 1915, 2, 403–458. [Google Scholar]
  29. Butler, E.E.; Bracker, C.E. Morphology and cytology of Rhizoctonia solani. In Rhizoctonia solani, Biology and Pathology; Parmeter, J.R., Ed.; University of California Press: Los Angeles, CA, USA, 1970; pp. 32–51. [Google Scholar]
  30. Banniza, S.; Holderness, M. Rice sheath blight—pathogen biology and diversity. In Major Fungal Diseases of Rice; Sveenivasaprasad, S., Johnson, R., Eds.; Springer Science and Business Media: Dordrecht, The Netherlands, 2011; pp. 201–211. [Google Scholar]
  31. Gnanamanickam, S.S. Biological Control of Rice Diseases, Progress in Biological Control 8; Springer Science and Business Media: Dordrecht, The Netherlands, 2009. [Google Scholar]
  32. Shahjahan, A.K.M.; Mew, T.M. Sheath spot of rice in the Philippines. Int. Rice Res. Newsl. 1986, 11, 17. [Google Scholar]
  33. CABI Echinochloa crus-galli (Barnyard Grass) Data Sheet. Available online: http://www.cabi.org/isc/datasheet/20367 (accessed on 15 March 2016).
  34. Furoc, R.E.; Javier, E.Q. Integration of fodder production with intensive croppings involving rice. 1. Grass production from irrigated lowland rice field. 2. Herbage weeds during juvenile stage of the rice crop. Philippine J. Crop Sci. 1976, 1, 146–148. [Google Scholar]
  35. Singh, A.K.; Srivastava, J.N. Sheath blight disease of paddy and their management. In Recent Advances in the Diagnosis and Management of Plant Diseases; Awasthi, L.P., Ed.; Springer: Berlin/Heidelberg, Germany, 2015; p. 294. [Google Scholar]
  36. Oplinger, E.S.; Hardman, L.L.; Kaminski, A.R.; Combs, S.M.; Doll, J.D. Mung Bean: Alternative Field Crops Manual. Available online: https://hort.purdue.edu/newcrop/afcm/mungbean.html (accessed on 18 March 2019).
  37. PCAARRD (2003) PCARRD Commodities: Mungbean. Available online: http://www.pcaarrd.dost.gov.ph/home/joomla/index.php?option=com_content&task=view&id=544&Itemid=418 (accessed on 18 April 2016).
  38. Butranu, W. Carrying capacity of component crops on Rhizoctonia solani Kuhn inoculum in relation to multiple cropping. Master’s Thesis, University of the Philippines Los Baños, Los Baños, Philippines, 1988. [Google Scholar]
Figure 1. Rice stems showing sheath blight symptoms, and 10-day-old cultures of their corresponding pathogens, as well as their photomicrographs showing the mycelia branching at an acute to right angle with slight constriction at the point (cp) of branching and septum (s) formed near the branching point for isolates BPgL (A), IbMjL (B), and QPaL (C). Samples were viewed at 40×.
Figure 1. Rice stems showing sheath blight symptoms, and 10-day-old cultures of their corresponding pathogens, as well as their photomicrographs showing the mycelia branching at an acute to right angle with slight constriction at the point (cp) of branching and septum (s) formed near the branching point for isolates BPgL (A), IbMjL (B), and QPaL (C). Samples were viewed at 40×.
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Figure 2. Rice stems showing sheath blight symptoms, and 10-day-old cultures of their corresponding pathogens, as well as their photomicrographs showing the mycelia branching at an acute to right angle with slight constriction at the point (cp) of branching and septum (s) formed near the branching point for isolates D1FL (A), NVL (B), and ScNL (C). Samples were viewed at 40×.
Figure 2. Rice stems showing sheath blight symptoms, and 10-day-old cultures of their corresponding pathogens, as well as their photomicrographs showing the mycelia branching at an acute to right angle with slight constriction at the point (cp) of branching and septum (s) formed near the branching point for isolates D1FL (A), NVL (B), and ScNL (C). Samples were viewed at 40×.
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Figure 3. Rice stems showing sheath blight symptoms, and 10-day-old cultures of their corresponding pathogens, as well as their photomicrographs showing the mycelia branching at an acute to right angle with slight constriction at the point (cp) of branching and septum (s) formed near the branching point for isolates BMgL (A), IbMgL (B), and MaSL (C). Samples were viewed at 40×.
Figure 3. Rice stems showing sheath blight symptoms, and 10-day-old cultures of their corresponding pathogens, as well as their photomicrographs showing the mycelia branching at an acute to right angle with slight constriction at the point (cp) of branching and septum (s) formed near the branching point for isolates BMgL (A), IbMgL (B), and MaSL (C). Samples were viewed at 40×.
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Figure 4. Rhizoctonia spp. isolated from Echinochloa crus-galli LiMgL (A) and unidentified grass MCL (B), and mungbean BIG and NCPC (C and D), and their corresponding photomicrographs showing mycelia branching at an acute to right angle with slight constriction at the point (cp) of branching and septum formed near the branching point (s). Samples were viewed at 40×.
Figure 4. Rhizoctonia spp. isolated from Echinochloa crus-galli LiMgL (A) and unidentified grass MCL (B), and mungbean BIG and NCPC (C and D), and their corresponding photomicrographs showing mycelia branching at an acute to right angle with slight constriction at the point (cp) of branching and septum formed near the branching point (s). Samples were viewed at 40×.
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Figure 5. Photomicrograph of 24-h-old hyphal tips stained with 0.5% aniline blue showing multinucleate Rhizoctonia isolate LScL (A) and binucleate Rhizoctonia isolate BIG (B) as indicated by the arrows. Samples were viewed at 40×.
Figure 5. Photomicrograph of 24-h-old hyphal tips stained with 0.5% aniline blue showing multinucleate Rhizoctonia isolate LScL (A) and binucleate Rhizoctonia isolate BIG (B) as indicated by the arrows. Samples were viewed at 40×.
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Figure 6. Gel documentation of the resolved DNA products using the specific primers for R. solani AG1-IA. Isolates belonging to subgroup AG1-IA are expected to produce a band of ~265 bp. Test cultures of AG1-IA (lane 21) and AG1-IG (lane 22) were used as positive and negative checks, respectively. Suspected R. solani isolates produced a band size of ~250 bp (lanes 1–3, 10, 15–17, 19, 21, 23–26, 28–29, 31–33, 38–40, 42, and 44). The suspected R. oryzae-sativae isolates (lanes 4–6, 14, 18, 20, 27, 30, 34–37, 41, and 43) and R. oryzae (lanes 7–9) did not produce 250-bp bands. Mungbean isolates BIG and NCPC (lanes 12 and 13) did not produce 250-bp bands.
Figure 6. Gel documentation of the resolved DNA products using the specific primers for R. solani AG1-IA. Isolates belonging to subgroup AG1-IA are expected to produce a band of ~265 bp. Test cultures of AG1-IA (lane 21) and AG1-IG (lane 22) were used as positive and negative checks, respectively. Suspected R. solani isolates produced a band size of ~250 bp (lanes 1–3, 10, 15–17, 19, 21, 23–26, 28–29, 31–33, 38–40, 42, and 44). The suspected R. oryzae-sativae isolates (lanes 4–6, 14, 18, 20, 27, 30, 34–37, 41, and 43) and R. oryzae (lanes 7–9) did not produce 250-bp bands. Mungbean isolates BIG and NCPC (lanes 12 and 13) did not produce 250-bp bands.
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Figure 7. Digital image of ITS products of different Rhizoctonia spp. showing bands of approximately 650–700 bp. Suspected R. solani isolates produced a single band of ~700 bp, while the suspected R. oryzae and three binucleate Rhizoctonia isolated from other hosts produced a single band of ~650 bp.
Figure 7. Digital image of ITS products of different Rhizoctonia spp. showing bands of approximately 650–700 bp. Suspected R. solani isolates produced a single band of ~700 bp, while the suspected R. oryzae and three binucleate Rhizoctonia isolated from other hosts produced a single band of ~650 bp.
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Figure 8. Examples of fingerprint patterns generated by BOXA1R primer. Lanes 1–3 and 10, 4–6, 7–9, and 11–13 show the fingerprint patterns produced from Rhizoctonia solani, R. oryzae-sativae, R. oryzae, and Ceratobasidium sp., respectively.
Figure 8. Examples of fingerprint patterns generated by BOXA1R primer. Lanes 1–3 and 10, 4–6, 7–9, and 11–13 show the fingerprint patterns produced from Rhizoctonia solani, R. oryzae-sativae, R. oryzae, and Ceratobasidium sp., respectively.
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Figure 9. The repetitive-element PCR (Rep-PCR) generated dendrogram for the 42 Rhizoctonia isolates. A 2.9 similarity index (as measured by distance) was used for the interpretation of relatedness as depicted by the vertical line. Isolates clustered into three groups: R. solani, R. oryzae-sativae, and R. oryzae and Ceratobasidium sp. Bootstrap values below 50 were no longer included in the dendrogram.
Figure 9. The repetitive-element PCR (Rep-PCR) generated dendrogram for the 42 Rhizoctonia isolates. A 2.9 similarity index (as measured by distance) was used for the interpretation of relatedness as depicted by the vertical line. Isolates clustered into three groups: R. solani, R. oryzae-sativae, and R. oryzae and Ceratobasidium sp. Bootstrap values below 50 were no longer included in the dendrogram.
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Table 1. Cultural characteristics of Rhizoctonia spp. on potato dextrose agar (PDA) medium. N—north; E—east; W—west; UPLB—University of the Philippines Los Baños.
Table 1. Cultural characteristics of Rhizoctonia spp. on potato dextrose agar (PDA) medium. N—north; E—east; W—west; UPLB—University of the Philippines Los Baños.
#IsolateHostPlant PartPlace of CollectionGPS CoordinatesColony Color aGrowth Pattern bColony Growth
Diameter (mm) c
Mean Diameter (mm)
24 h48 h72 h
1ALQRicesheathAyuti, Lucban, Quezon14.10876° N
121.537007° E
light brownabundant51.6790.0090.0077.22
2SLQRicesheathSamil, Lucban, Quezon14.109835° N
121.525667° E
light brownmoderate32.0061.8390.0061.28
3BaMjLRicesheathBakya, Majayjay14.16061° N
121.490699° E
light brownmoderate61.8390.0090.0080.61
4BuMjLRicesheathBuharaw, Majayjay14.114552° N
121.50457° E
light brownmoderate50.3390.0090.0076.78
5IbMjLRicesheathIlayang Banga, Majayjay14.15° N
121.48° E
light brownmoderate61.1774.3374.6770.06
6TrMjLRicesheathTalortor, Majayjay14.15° N
121.46° E
light brownmoderate33.3369.3390.0064.22
7BMgLRicesheathBurlungan, Magdalena14.18434° N
121.442995° E
light salmonscarce40.3385.1790.0071.83
8CMgLRicesheathCigapas, Magdalena14.22821° N
121.435905° E
light brownmoderate56.3387.8390.0078.06
9IbMgLRicesheathIbabang Bugtong, Magdalena10.178268° N
−74.495031° W
yellowish brownmoderate54.6790.0090.0078.22
10LiMgLgBarnyard grasssheathLibunan, Magdalena10.178268° N
−74.495031° W
light brownabundant66.6790.0090.0082.22
11LMgLRicesheathLibunan, Magdalena10.178268° N
−74.495031° W
light brownmoderate35.1766.3390.0063.83
12BPgLRicesheathBinan, Pagsanjan14.271785° N
121.436265° E
light brownmoderate43.3377.6789.1770.06
13BPLRicesheathBuboy, Pagsanjan14.24° N
121.43° E
light brownabundant60.3390.0090.0080.11
14CPLRicesheathCabanbanan, Pagsanjan14.24694° N
121.430908° E
light brownmoderate52.6789.6790.0077.44
15SPLRicesheathSabang, Pagsanjan14.26° N
121.43° E
brownabundant55.8383.3389.1776.11
16LScLRicesheathLabuin, Santa Cruz14.254683° N
121.395612° E
light brownmoderate61.8390.0090.0080.61
17PScLRicesheathPatimbao, Santa Cruz14.266121° N
121.414189° E
light brownmoderate43.5086.5090.0073.33
18LPLRicesheathLabuin, Pila14.248139° N
121.369887° E
light brownmoderate37.6777.3390.0068.33
19ScsPLRicesheathSanta Clara Sur, Pila14.226484° N
121.368458° E
light brownmoderate60.0090.0090.0080.00
20MVLRicesheathMasapang, Victoria14.192465° N
121.337007° E
light brownmoderate48.0089.3390.0075.78
21NVLRicesheathNaninaya, Victoria14.192465° N
121.337007° E
light brownmoderate30.0056.8386.0057.61
22SfVLRicesheathSan Francisco, Victoria14.215199° N
121.339867° E
whitish brownscarce33.8367.0090.0063.61
23TaVLRicesheathTangsa, Victoria14.202753° N
121.337007° E
light brownmoderate53.8386.6789.1776.56
24TuVLRicesheathTabuan, Victoria14.202753° N
121.337007° E
light brownmoderate50.6790.0090.0076.89
25BCLRicesheathBangyas, Calauan14.18482° N
121.309839° E
light brownmoderate49.3386.6790.0075.33
26MCLnknown grassbasal stemMasiit, Calauan14.163578° N
121.305549° E
yellowish brownmoderate34.5069.0090.0064.50
27SiCLRicesheathSan Isidro, Calauan14.157863° N
121.318419° E
light brownscarce35.8368.590.0064.78
28MBLRicesheathMaitim, Bae14.182059° N
121.275512° E
light brownmoderate36.0069.8390.0065.28
29ScNLRicesheathSanta Clara, Nagcarlan14.149029° N
121.388467° E
light brownmoderate37.3370.3390.0065.89
30KPaLRicesheathKwatro, Paete14.367518° N
121.529954° E
light brownmoderate37.0073.1790.0066.72
31QPaLrRicesheathQuinale, Paete14.360923° N
121.574104° E
light brownmoderate68.5090.0090.0082.83
32SPaLRicesheathSyete, Paete14.367518° N
121.529954° E
light brownmoderate57.3390.0090.0079.11
33IPngLRicesheathIsla, Pangil14.403307° N
121.469898° E
light brownmoderate32.5066.1790.0062.89
34NMaLRicesheathNanguma, Mabitac14.444753° N
121.422663° E
light brownmoderate64.5090.0090.0081.50
35PMaLRicesheathPaagahan, Mabitac14.450122° N
121.405615° E
light brownmoderate60.0090.0090.0080.00
36BFLRicesheathBatuhan, Famy14.436914° N
121.442761° E
light brownmoderate30.3363.8390.0061.39
37D1FLRicesheathDunghak 1, Famy14.473008° N
121.484245° E
light brownscarce35.8366.1789.6763.89
38MFLRicesheathMayputat, Famy14.473008° N
121.484245° E
light brownmoderate59.8390.0090.0079.94
39HSLRicesheathHalayhayin, Siniloan14.428391° N
121.465614° E
light brownmoderate33.6763.6790.0062.44
40MaSLRicesheathMakatad, Siniloan14.436155° N
121.482751° E
yellowish brownmoderate54.8389.3390.0078.06
41BIGMungbeanstemPili drive, UPLB14.163158° N
121.249706° E
yellowish brownmoderate35.1765.5090.0063.56
42NCPCMungbeanstemNCPC, UPLB14.167535° N
121.243282° E
yellowish brownmoderate29.5055.6780.3355.17
a Observed from 10-day-old cultures. b Qualitative visual estimate. c Means of two trials with three replications each.
Table 2. Sclerotial and microscopic characteristics of different Rhizoctonia isolates collected from rice-producing areas in Laguna, Philippines.
Table 2. Sclerotial and microscopic characteristics of different Rhizoctonia isolates collected from rice-producing areas in Laguna, Philippines.
#IsolateColor of SclerotiaSclerotia Formation PatternMean Sclerotia Diameter
(mm) a
Sclerotial Production bMean Hyphal Width
(µm) a
Nuclear CountBinucleate (BNR)/
Multinucleate (MNR)
Molecular Identification
1ALQbrown/dark brownscattered1.69fair7.575MNRR. solani AG1-IA
2SLQwhite/brownscattered0.81excellent6.902BNRND
3BaMjLbrown/dark brownscattered2.48fair8.045MNRR. solani AG1-IA
4BuMjLbrown/dark brownscattered1.66moderate8.079MNRR. solani AG1-IA
5IbMjLbrown/dark browncentral1.68fair7.858MNRR. solani f. sp. sasakii
6TrMjLwhite/brownscattered0.77excellentND2BNRND
7BMgLsalmonscatteredNDexcellent7.377MNRR. oryzae
8CMgLbrown/dark brownscattered2.06good7.566MNRR. solani AG1-IA
9IbMgLsalmoncentralNDexcellent7.268MNRR. oryzae
10LiMgLgbrown/dark brownperipheral1.76very good7.056MNRR. solani AG1-IA
11LMgLwhite/brownscattered0.63excellent7.162BNRND
12BPgLbrown/dark brownscattered1.48moderate7.489MNRR. solani AG1-IA
13BPLbrown/dark brownscattered1.97moderate7.8410MNRR. solani AG1-IA
14CPLbrown/dark brownscattered2.69fair7.296MNRR. solani AG1-IA
15SPLbrown/dark brownscattered1.83fairND6MNRR. solani AG1-IA
16LScLNANANApoor9.436MNRR. solani AG1-IA
17PScLNANANApoor7.697MNRR. solani AG1-IA
18LPLwhite/brownscattered0.86excellentND2BNRND
19ScsPLbrown/dark brownscattered1.68fair7.937MNRR. solani AG1-IA
20MVLbrown/dark brownscattered1.89moderate6.127MNRR. solani AG1-IA
21NVLwhite/brownscattered0.81excellent6.332BNRR. oryzae-sativae
22SfVLwhite/browncentral0.8excellent6.042BNRND
23TaVLNANANApoor7.316MNRR. solani AG1-IA
24TuVLbrown/dark brownperipheral2.92good7.936MNRR. solani AG1-IA
25BCLbrown/dark brownscattered1.21moderate7.947MNRR. solani AG1-IA
26MCLwhite to grayring1.39excellent5.078MNRR. solani AG1-IA
27SiCLwhite/brownscattered0.87excellent7.202BNRND
28MBLwhite/browncentral0.71excellent6.272BNRND
29ScNLwhite/browncentral0.54excellent6.282BNRR. oryzae-sativae
30KPaLwhite/brownscattered0.77excellent6.452BNRND
31QPaLbrown/dark brownperipheral2.52good6.967MNRR. solani AG1-IA
32SPaLbrown/dark brownscattered1.52fair7.517MNRR. solani AG1-IA
33IPngLwhite to brownscattered0.78excellent5.822BNRND
34NMaLbrown/dark brownscattered2.54fair8.088MNRR. solani AG1-IA
35PMaLbrown/dark brownscattered2.05fair7.356MNRR. solani AG1-IA
36BFLwhite/brownscattered0.64excellentND2BNRND
37D1FLwhite/brownscattered0.61excellent6.092BNRR. oryzae-sativae
38MFLbrown/dark brownperipheral1.91very good7.286MNRR. solani AG1-IA
39HSLwhite/brownscattered0.84excellentND2BNRND
40MaSLsalmonringNDexcellent8.6210MNRR. oryzae
41BIGNANANApoor5.022BNRCeratobasidium sp. AG-L
42NCPCNANANApoor4.602BNRCeratobasidium sp. AG-A
a Average of 20 observations. b Number of sclerotia/dish: poor (0), fair (1–10), moderate (11–20), good (21–40), very good (41–60), and excellent (>60) [15]. ND, not determined; NA, not applicable because of poor sclerotial production.
Table 3. Mega Basic Local Alignment Search Tool (BLAST) search results of the deduced ITS sequences using National Center for Biotechnology Information (NCBI) GenBank. database for species identification.
Table 3. Mega Basic Local Alignment Search Tool (BLAST) search results of the deduced ITS sequences using National Center for Biotechnology Information (NCBI) GenBank. database for species identification.
IsolatePercent Similarity (%)Species IdentificationAccession No of Standard IsolatesCountry of Origin
IbMjL99Rhizoctonia solani f. sp. sasakiiKF570312.1India
D1FL100Ceratorhiza oryzae-sativaeDQ307249.1China
NVL97Ceratorhiza oryzae-sativaeFJ667260.1Japan
ScNL100Ceratorhiza oryzae-sativaeDQ307249.1China
LiMgLg97Rhizoctonia solaniJF701789.1India
MCLgb98Ceratobasidium sp. AG-BaKF176604.1China
NCPC99Ceratobasidium sp. AG-LFJ515884.1China
BIG99Ceratobasidium sp. AG-AKC782943.1Italy
BMgL100Waitea circinataEF429315.1China
IbMgL90Waitea circinataHM597138.1USA
MaSL100Waitea circinataEF429315.1China
Table 4. Disease severity on rice var. TN1, barnyard grass, tomato var. Athena, and mungbean var. Pagasa 3 with selected Rhizoctonia isolates.
Table 4. Disease severity on rice var. TN1, barnyard grass, tomato var. Athena, and mungbean var. Pagasa 3 with selected Rhizoctonia isolates.
IsolateRiceBarnyard GrassTomatoMungbean
BPgL41.85 b58.78 a73.00 d24.08 a
IbMjL40.54 b47.23 a,b62.75 d25.42 a
QPaL40.48 b58.09 a62.75 d23.00 a
D1FL16.72 c1.66 b20.50 a0
NVL20.45 c0.27 b20.50 a0
ScNL15.36 c1.24 b20.50 a0
BMgL32.47 b18.68 a,b26.00 a,b0
IbMgL39.69 b25.168 a,b48.00 b,c,d0
MaSL41.24 b36.44 a,b31.50 a,b,c0
LiMgL51.42 a49.40 a,b20.50 a25.50 a
MCLND1.36 b37.00 a,b,c0
NCPCND3.44 b37.00 a,b,cND
BIGNDND53.50 c,dND
Means with the same letter are not significantly different at p ≤ 0.05 based on Fisher’s protected least significant differences (LSD). ND, not determined.

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Sandoval, R.F.C.; Cumagun, C.J.R. Phenotypic and Molecular Analyses of Rhizoctonia spp. Associated with Rice and Other Hosts. Microorganisms 2019, 7, 88. https://doi.org/10.3390/microorganisms7030088

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Sandoval RFC, Cumagun CJR. Phenotypic and Molecular Analyses of Rhizoctonia spp. Associated with Rice and Other Hosts. Microorganisms. 2019; 7(3):88. https://doi.org/10.3390/microorganisms7030088

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Sandoval, Regina Faye C., and Christian Joseph R. Cumagun. 2019. "Phenotypic and Molecular Analyses of Rhizoctonia spp. Associated with Rice and Other Hosts" Microorganisms 7, no. 3: 88. https://doi.org/10.3390/microorganisms7030088

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