In Jeong Kang1, Mi-Hyung Kang2, Tae-Hwan Noh3, Hyeong Kwon Shim1, Dong Bum Shin1, Suggi Heu1. 1. Crop Cultivation and Environment Research Division, National Institute of Crop Science, Rural Development Administration, Suwon 16429, Korea. 2. Capacity Building Division, Rural Development Administration, Jeonju 54875, Korea. 3. Planning and Coordination Division, National Institute of Crop Science, Rural Development Administration, Jeonju 55365, Korea.
Abstract
Burkholderia glumae (bacterial grain rot), Xanthomonas oryzae pv. oryzae (bacterial leaf blight), and Acidovorax avenae subsp. avenae (bacterial brown stripe) are major seedborne pathogens of rice. Based on the 16S and 23S rDNA sequences for A. avenae subsp. avenae and B. glumae, and transposase A gene sequence for X. oryzae pv. oryzae, three sets of primers had been designed to produce 402 bp for B. glumae, 490 bp for X. oryzae, and 290 bp for A. avenae subsp. avenae with the 63°C as an optimum annealing temperature. Samples collected from naturally infected fields were detected with two bacteria, B. glumae and A. avenae subsp. avenae but X. oryzae pv. oryzae was not detected. This assay can be used to identify pathogens directly from infected seeds, and will be an effective tool for the identification of the three pathogens in rice plants.
Burkholderia glumae (bacterial grain rot), Xanthomonas oryzae pv. oryzae (bacterial leaf blight), and Acidovorax avenae subsp. avenae (bacterial brown stripe) are major seedborne pathogens of rice. Based on the 16S and 23S rDNA sequences for A. avenae subsp. avenae and B. glumae, and transposase A gene sequence for X. oryzae pv. oryzae, three sets of primers had been designed to produce 402 bp for B. glumae, 490 bp for X. oryzae, and 290 bp for A. avenae subsp. avenae with the 63°C as an optimum annealing temperature. Samples collected from naturally infected fields were detected with two bacteria, B. glumae and A. avenae subsp. avenae but X. oryzae pv. oryzae was not detected. This assay can be used to identify pathogens directly from infected seeds, and will be an effective tool for the identification of the three pathogens in rice plants.
Bacterial leaf blight caused by Xathomonas oryzae pv. oryzae, bacterial grain rot caused by Burkholderia glumae and Acidovorax avenae subsp. avenae are major bacterial diseases and also seed-borne pathogens of rice (Goto, 1964; Kadota, 1996; Shakya et al., 1985). Especially, the occurrence of bacterial leaf blight and bacterial grain rot is becoming more common in Korea as the weather is getting hot and humid (Jeong et al., 2003) and these pathogens can be a threat to rice production in both temperate and tropical rice growing regions due to its high epidemic potential (Ham et al., 2011). But most of all, seedborne bacterial pathogens are of particular concern because, unlike seedborne fungi, strategies for the management are inadequate, especially given the limited and antiquated chemical options available (Gitaitis and Walcott, 2007). Also, year-to-year transmission resulting from the seed-borne nature of the pathogen may also contribute to yield losses (Trung et al., 1993). Moreover, infected seeds may be discolored, but more often no conspicuous symptoms are visible (Song et al., 2004). Rice seeds infected with these pathogens are important sources of primary inoculum and a means of dissemination to new areas. The spread of seed borne pathogens has a negative effect on rice yield, which is why sensitive and simple detection methods are required to screen. Accurate diagnosis and identification of plant pathogens is a pre-requisite of disease management to sustain high yield potential of crops. Therefore continuous efforts are being made to develop a simple, reliable, rapid and safe method for the disease diagnosis (Sharma, 2003). Although methods have been developed to detect seed-borne bacterial pathogens, none have been optimized to selectively detect the bacterium from rice seeds. Recently, several studies have used polymerase chain reaction (PCR) technology as a tool to detect and study the variability of pathogenic bacteria (Xiang and De Boer, 1995). Among PCR assays, multiplex PCR has been developed to simultaneously detect several plant diseases (Asano et al., 2010; James et al., 2006), thus providing a reliable, fast, and inexpensive method for routine detection of plant bacterial diseases in the field. Therefore it is very important to develop mPCR assay to detect three bacterial pathogens in rice seeds.Based on the 16S and 23S rDNA sequences for A. avenae subsp. avenae and B. glumae, and the transposase A gene sequence (AE013598.1, REGION:466077..47102) for X. oryzae pv. oryzae, specific primers were designed for in vitro DNA amplification (Table 1). Since three bacteria have to be detected at a same time, primers were designed to produce three different sizes of PCR products represent individual bacterial species and to use same annealing temperature for the optimum condition for PCR amplification. With the 63°C as an optimum annealing temperature, three sets of primers (Og-F/R, XOT-F/R, and Oal-F/R) had been designed to produce 402 bp for B. glumae, 490 bp for X. oryzae, and 290 bp for A. avenae subsp. avenae. In order to confirm the right sizes of PCR products, three isolated bacteria had been tested for the multiplex PCR amplification. Bacterial DNA was harvested from 1 ml cells (OD600, 0.8–1.0) and extracted using the Genomic DNA extraction kit (iNtRON, Seongnam, Korea) based on the protocol for Gram-negative bacteria. The concentration of extracted DNA was determined by measuring the absorbance ratio of 260:280 nm using a NanoDrop spectrophotometer (Nanodrop ND-1000; NanoDrop Technologies Inc., Wilmington, DE, USA). The multiplex PCR assay was performed using the Rice Bacteria PCR Detection Kit (IncloneTM, our latest patented kit; Inclonebiotech Co., Seoul, Korea) following the manufacturer’s protocol with minor modifications. Briefly, the final volume of the multiplex PCR mix was adjusted to 20 μl with sterile distilled water, in which the reaction mixture contained three sets of specific primers, template DNA, reaction buffer, dNTP mixture, and enzyme mix. The cycling parameters included an initial denaturation step at 95°C for 15 min followed by 35 cycles of 95°C for 20 s, 63°C for 30 s, and 72°C for 30 s, ending with a final extension at 72°C for 5 min. Amplified products were detected on a 1.5% Tris-borate-ethylene-diaminetetraacetic acid (EDTA) agarose gel with loading star (Dyne Bio, Seongnam, Korea). Multiplex PCR using six primers suggested in this study amplified the expected targets for B. glumae, X. oryzae pv. oryzae, and A. avenae subsp. avenae, respectively (Fig. 1). Each amplification product at a specific size was observed for the three bacteria: B. glumae (402 bp), X. oryzae pv. oryzae (490 bp), and A. avenae subsp. avenae (290 bp). Nevertheless single or triple, right sizes of bands had been produced without any trivial bands. Therefore, these primer sets can be used for the multiplex PCR to detect three major bacterial pathogens, B. glumae, X. oryzae pv. oryzae, and A. avenae subsp. avenae, in rice at a same time.
Table 1
Primers designed for multiplex PCR to detect three bacterial pathogens in rice
Primer
Primer sequence
Size (bp)
Bacterial species
Disease
Og-F
CACCTGGGTAGTCTCTGTAGG
402
Burkholderia glumae
Bacterial grain rot
Og-R
ACGAGTCTGTCTCGCTCT
Oal-F
TTGAACGCCCACACTTATCG
290
Acidovorax avenae subsp. avenae
Bacterial brown stripe
Oal-R
TATTGGTTGGTGGAGGATGA
XOT-F
GTCATAGGTGAGGCTTCCC
492
Xanthomonas oryzae pv. oryzae
Bacterial leaf blight
XOT-R
AGTGCGATCTTTCAGCAGG
Fig. 1
Detection of three bacteria using multiplex PCR with three sets of specific primers. M, molecular size marker (100–2,000 bp); lane 1, positive control; lane 2, negative control; lane 3, Burkholderia glumae (402 bp); lane 4, Xanthomonas oryzae pv. oryzae (490 bp); lane 5, Acidovorax avenae subsp. avenae (290 bp); lane 6, X. oryzae pv. oryzae + B. glumae; lane 7, B. glumae + A. avenae subsp. avenae; lane 8, X. oryzae pv. oryzae + A. avenae subsp. avenae; lane 9, X. oryzae pv. oryzae + B. glumae + A. avenae subsp. avenae.
In order to test the specificity of these primer sets, PCR amplification had been performed with 20 different bacterial DNA including three different pathovars of X. axonopodis, four different X. campestris pathovars, X. oryzae pv. oryzicola, Pseudomonas fluorescens, P. aeruginoa, two P. savastanoi pathovars, P. cochorii, P. viridiflava, five P. syringae pathovars and Rhizobium sp. (Table 2). None of those bacterial DNA produced right products by the mPCR amplification using primer sets in Table 1. However, all tested five different strains of B. glumae or four different races of X. oryzae pv. oryzae produced the expected bands for both bacterial species (data not shown). Therefore, primer set Og-F and Og-R is a specific for B. glumae and primer set Oal-R and Oal-R is a specific for A. avenae subsp. avenae. In the case of primer set XOT-F and XOT-R was able to produce right products for X. oryzae pv. oryzae but not for X. oryzae pv. oryzicola, this primer set may be a pathovar specific.
Table 2
List of bacterial strains used in this study
Bacterial strains
Source
Acidovorax avenae subsp. avenae
KACC16205
Burkholderia glumae GRbb1
Dongginbyeo
B. glumae GRbb2
Dongginbyeo
B. glumae GRbb3
Dongginbyeo
B. glumae GRbb5
Nampyungbyeo
B. glumae GRbb6
Gyewhabyeo
Pseudomonas fluorescens
KACC11153
Pseudomonas aeruginosa
KACC14021
Pseudomonas savastanoi pv. phaseolicola
KACC10575
P. savastanoi pv. glycinea
KACC13263
Pseudomonas syringae pv. actinidiae
KACC10591
P. syringae pv. tomato
KACC12839
P. syringae pv. tabaci
KACC10439
P. syringae subsp. syringae
KACC10604
P. syringae pv. coronafaciens
KACC13262
Pseudomonas cichorii
KACC10524
Pseudomonas viridiflava
KACC10523
Rhizobium sp.
KACC10995
Xanthomonas axnopodis pv. aurantifolii
KACC10161
X. axnopodis pv. citri
KACC10315
X. axonopodis pv. glycines
KACC 12972
Xanthomonas campestris pv. campestris
KACC10491
X. campestris pv. carotae
KACC 10164
X. campestris pv. dieffenbachiae
KACC10460
X. campestris pv. vesicatoria
KACC11153
Xanthomonas oryzae pv. oryzae
K1 race HB01013
X. oryzae pv. oryzae K2 race
HB01014
X. oryzae pv. oryzae K3 race
HB01015
X. oryzae pv. oryzae K3a race
HB01009
X. oryzae pv. oryzicola KACC
12972
KACC, Korean Agricultural Culture Collection.
To avoid the isolation of DNA from bacteria and determine the sensitivity of PCR detection in pure culture suspensions, direct multiplex PCR had been conducted (Noh et al., 2012). Bacterial suspensions were prepared as serial 10-fold dilutions to 10−8. Briefly, each bacterial suspension of 106 to 107 cfu/ml in 1 ml sterile distilled water was diluted eight times in a 10-fold series. Aliquots (3 μl) of the dilutions were directly used for PCR amplification. According to the manufacture’s protocol, direct multiplex PCR was performed in a 20 μl volume, in which the reaction mixture contained three sets of specific primers, three types bacterial suspensions, buffer, dNTPs, and enzyme mix. Detection limits of direct multiplex PCR from bacterial suspensions were tested using 10-fold (10−1 to 10−8) serial dilutions. Positive results were obtained using direct multiplex PCR at dilutions from 10−2 to 10−4 with primers for B. glumae, X. oryzae pv. oryzae and A. avenae subsp. avenae (Fig. 2). In contrast, faint PCR products were obtained at 10−5 to 10−8 dilutions, while no amplification was obtained in the uniplex (Fig. 2B, C) or multiplex assays beyond a 10−5 dilution (Fig. 2B). The 10−2 to 10−4 dilutions were the most effective concentrations for simultaneous direct detection of three bacteria (Fig. 2A, B). These results indicate that the direct multiplex PCR method developed in this study could be used to rapidly detect pathogen however, serial dilutions are essential to evaluate the sensitivities of direct multiplex PCR assays.
Fig. 2
Sensitivity (detection limit) of direct multiplex PCR in serially diluted bacterial samples for the detection of Burkholderia glumae + Xanthomonas oryzae pv. oryzae, B. glumae + Acidovorax avenae subsp. avenae, X. oryzae pv. oryzae + A. avenae subsp. avenae, and B. glumae + X. oryzae pv. oryzae + A. avenae subsp. avenae. M, molecular size marker (100–2,000 bp). (A) Lanes 1–4, 100 diluted; lanes 5–8, 101 diluted; lanes 9–12, 102 diluted. (B) Lanes 1–4, 103 diluted; lanes 5–8, 104 diluted; lanes 9–12; 105 diluted. (C) Lanes 1–4, 106 diluted; lanes 5–8, 107 diluted; lanes 9–12, 108 diluted.
The primer sets designed to detect simultaneously three bacterial pathogens, B. glumae, X. oryzae pv. oryzae and A. avenae subsp. avenae, showed specificity and sensitivity enough to be used for multiplex PCR assay. However, all tests done above had been conducted with pure cultured bacteria. Though the PCR methods can be very useful to detect bacterial pathogens in pure culture, sometimes there are limitations to detect bacteria directly from seeds or plants because of the presence of some inhibitory compounds. To confirm that test these methods can be applicable to detect bacterial pathogens on seeds, multiplex PCR assay had been done using rice seeds infected artificially with three bacterial combinations. Surface sterilized rice seeds with 70% ethanol were soaked in bacterial culture with 108 cfu/ml concentrations for 48 h. The hulls were removed from the soaked rice seeds and direct multiplex PCR assay had been done with infected hull rice (Fig. 3). Single amplicons were detected in samples infected with a single bacterium: B. glumae (lane 1), X. oryzae pv. oryzae (lane 2), and A. avenae subsp. avenae (lane 3) and multiple amplicons were detected in seeds subjected to double and triple infections: B. glumae + X. oryzae pv. oryzae (lane 4), B. glumae + A. avenae subsp. avenae (lane 5), X. oryzae pv. oryzae + A. avenae subsp. avenae (lane 6), and X. oryzae pv. oryzae + B. glumae + A. avenae subsp. avenae (lane 7).
Fig. 3
Detection of three bacteria using direct multiplex PCR from artificially inoculated rice seeds. Lane M, molecular size marker (100–2,000 bp); lane 1, Burkholderia glumae-infected (402 bp); lane 2, Xanthomonas oryzae pv. oryzae-infected (490 bp); lane 3, Acidovorax avenae subsp. avenae-infected (290 bp); lane 4, X. oryzae pv. oryzae + B. glumae-infected; lane 5, B. glumae + A. avenae subsp. avenae-infected; lane 6, X. oryzae pv. oryzae + A. avenae subsp. avenae-infected; lane 7, X. oryzae pv. oryzae + B. glumae + A. avenae subsp. avenae-infected sample.
Since direct mPCR assay with artificially infected rice seeds had been done successfully, naturally infected rice seeds were tested. To detect bacterial pathogens in naturally infected rice seeds, head of rice plants showing symptoms collected from several provinces in Korea and hull rice of each samples were examined using the direct multiplex PCR method (Fig. 4, 5). Four out of total 14 samples were infected with two bacteria, B. glumae and A. avenae subsp. avenae (Fig. 5; lanes 1, 6, 8, and 13) and three samples were infected with A. avenae subsp. avenae only (Fig. 5; lanes 5, 7, and 9). X. oryzae pv. oryzae was not detected at all. These data were confirmed with bacteria isolated from symptomatic plants (data no shown).
Fig. 4
Symptoms of three bacterial diseases in rice. (A) Bacterial grain rot symptom. (B) Bacterial leaf blight symptom. (C) Discolored rice seeds harvest from rice field. (D) Discolored rice seeds used for direct multiplex PCR detection.
Fig. 5
Burkholderia glumae (Bg) and Acidovorax avenae subsp. avenae (Aaa) detection using direct multiplex PCR from field-infected rice seeds collected from several provinces of Korea. M, molecular size marker (100–2,000 bp); P, positive control; N, negative control; lane 1, B. glumae + A. avenae subsp. avenae; lane 5, A. avenae subsp. avenae; lane 6, A. avenae subsp. avenae; lane 7, A. avenae subsp. avenae; lane 8, A. avenae subsp. avenae; lane 9, B. glumae + A. avenae subsp. avenae; lane 13, B. glumae + A. avenae subsp. avenae. Xoo, Xanthomonas oryzae pv. oryzae.
Overall, the method can provide a specific and convenient tool for detecting B. glumae, X. oryzae pv. oryzae and A. avenae subsp. avenae in infected rice seeds.
Authors: Ogun Adebali; Marharyta G Petukh; Alexander O Reznik; Artem V Tishkov; Amit A Upadhyay; Igor B Zhulin Journal: J Bacteriol Date: 2017-08-22 Impact factor: 3.490