Discrimination of Burkholderia gladioli pv.alliicola and B. cepacia complex using the gyrB gene of B. gladioli pv. alliicola

  • Authors:
    • Lun Zhang
    • Wenna Gao
    • Youping Yin
    • Zhongkang Wang
  • View Affiliations

  • Published online on: December 28, 2018     https://doi.org/10.3892/etm.2018.7137
  • Pages: 1870-1876
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Abstract

The aim of the present study was to investigate the efficiency of the gyrB gene derived from Burkholderia gladioli pv.Alliicola (Bga) on the identification of Bga from the B. cepacia complex (Bcc) based on the COnsensus‑DEgenerate Hybrid Oligonucleotide Primer (CODEHOP) strategy. A set of primers used for the specific amplification of the gyrB gene in Bga were designed according to the CODEHOP principle. A total of 1,644 bp of the gyrB gene sequence of Bga were acquired by CODEHOP amplification. The sequence was blasted in GenBank and it revealed an average of 86% similarity with the gyrB gene of nine genomovars of Bcc. A phylogenetic tree was constructed using the gyrB gene sequences. The microarray method was adopted to discriminate Bga from Bcc based on the specific probes designed upon the gyrB gene, and five genomovars of Bcc demonstrated a good discrimination from Bga on the microarray chip. CODEHOP strategy succeeded in amplification of the gyrB gene of Bga, which made it possible for the identification of Bga from five genomovars of Bcc.

Introduction

Burkholderia gladioli pv.Alliicola (Bga), one of the four pathovars known in B. gladioli, was originally described by Severini in 1913 (1) as a phytopathogen causing rot of Gladiolus corms. Initially, it was considered as a synonym of Pseudomonas marginata (2), and was then given the present name B. gladioli (3). As a gram-negative bacillus, B. gladioli had been primarily considered to be a plant pathogen. However, it was also reported to be associated with the onset of pulmonary infections in humans, including cystic fibrosis (CF) and chronic granulomatous disease (CGD) (47).

B. cepacia complex (Bcc) is a group of closely related gram-negative bacteria with similar phenotypes and genotypes (8). To date, a total of 17 genomovars have been identified from the environment and are widely used as a reagent for biodegradation and biocontrol, acting as a plant growth-promoting rhizobacterium (911). Similar to Bga, Bcc may also induce fatal infections in vulnerable individuals, for example those with CF and CGD (1215), as well as induce rot of onions (16). These pathogenic similarities suggested a close association between Bga and Bcc.

Currently, extensive studies have been conducted on the taxonomy of Bcc; however, a high incidence of misidentification for Bcc is reported as ~50% of isolated Bcc actually belongs to B. gladioli (17). To date, polymerase chain reaction (PCR)-based methods have been commonly used to isolate unknown family members using 16S and 23S ribosomal RNA, and recA or gyrB (1824). Among these markers, the gyrB gene encoding subunit B of DNA gyrase was demonstrated to be effective in the discrimination of species within Bcc and Bga due to its sufficiently variable rate (25). Although such strategies have been indicated to be successful in isolating closely related sequences, failure is usually encountered when sequences are more distantly related or are in low copy numbers.

In the present study, a novel strategy named after COnsensus-DEgenerate Hybrid Oligonucleotide Primer (CODEHOP) (26) was adopted to test its applicability for PCR amplification of the gyrB gene of Bga by CODEHOP primers designed upon related protein sequences of the gyrB gene of Bcc. A total of 1,644 base pairs of the gyrB gene of Bga were acquired and two probes, designed based on the gyrB gene sequences of Bga and Bcc, were used to distinguish between Bga and five genomovars of Bcc. A phylogenetic tree was constructed based on the gyrB gene of Bga and nine genomovars of Bcc that demonstrated a divergence between Bga and Bcc. The present study demonstrated the utility of CODEHOP in the study of homologous genes between Bga and Bcc. Furthermore, the results indicated that the gyrB gene was a suitable marker in distinguishing Bga and Bcc; however, it was less effective for the genotyping of different genomovars of Bcc. In the future, more effective markers should be developed or a combination of different marker genes may be more effective and robust in the genotyping of Bcc.

Materials and methods

Strains and reagents

Bga strain 20157 was kindly provided by Professor Hasan Bolkan from the Campbell's Agricultural Research Centre (Davis, CA, USA). The DNA of Bcc was provided by Dr Guan-Ning Xie of Zhejiang University (Hangzhou, Zhejiang, China). Taq DNA polymerase, deoxynucleotide (dNTP) mixture for the PCR reaction, DNA marker DL2000, Escherichia coli competent cells (DH5α) for transformation and a MiniBEST plasmid purification kit were purchased from Takara Biotechnology Co., Ltd., (Dalian, China). E.Z.N.A.® Bacterial DNA Kit and E.Z.N.A Gel Extraction Kit was purchased from Omega Bio-Tek, Inc., (Norcross, GA, USA). A T-clone kit (pGEM®-T Vector System) including the pGEM®-T Vector and T4 DNA Ligase was purchased from Promega Corp., (Madison, WI, USA). Ampicillin, isopropyl β-D-1-thiogalactopyranoside and X-gal used for screening of clones were provided by Sigma-Aldrich (Merck KGaA, Darmstadt, Germany). Primer synthesis and DNA sequencing were performed by Takara Biotechnology Co., Ltd. The reagents used in the experiments were all of analytical purity.

Design of CODEHOP primers

Clustalx software (http://www.clustal.org/) was utilized to investigate the sequence homology of the gyrB gene with Bcc and Bga. The gyrB protein sequence of Bcc was retrieved and downloaded from the National Center for Biotechnology Information (NCBI) Gen Bank database (https://www.ncbi.nlm.nih.gov/genbank/). The sequence length was limited between 630 and 655 amino acids, which was close to its full length. Furthermore, alignment of the protein sequence was conducted by the online Block Maker program (http://blocks.fhcrc.org/blockmkr/make_blocks.html) to identify the conservative sequences. The sequences obtained were input into the CODEHOP primers designing tool (https://virology.uvic.ca/virology-ca-tools/j-codehop/) to search for the appropriate primers, and the codon preference was set as ‘Burkholderiaglumae’ as it was the only species of Burkholderia in the provided codon preference list and was homologous to Bga.

CODEHOP amplification

The CODEHOP amplification reaction was performed in a total volume of 25 µl containing 10X PCR buffer, 25 mmol/ldNTPs, 20 µmol/l of each primer, 5 U/µlTaq DNA polymerase and 30 ng Bga genomic DNA. Genomic DNA extraction was performed using the E.Z.N.A.® Bacterial DNA kit(Omega Bio-tek, Inc.). The amplification conditions were as follows: 94°C for 4 min followed by 45 cycles of 94°C for 30 sec, 47–49.5°C for 60 sec and 72°C for 90 sec, as well as a final extension at 72°C for 7 min. Following this, the products were electrophoresed on a 1.2% agarose gel and dyed with ethidium bromide.

Verification

To verify the amplified fragment obtained using CODEHOP primers, the verification primers were designed according to the gyrB gene of B. gladioli downloaded from the NCBI database using Primer Premier 6.0 software (Premier Biosoft International, Palo Alto, California, USA). The primers were then used for amplification of genomic DNA of Bga to test their validity. The PCR reaction was performed in a total volume of 25 µl containing 2.5 µl 10X PCR buffer, 2 µl dNTPs (25 mmol/l), 0.8 µl of each primer (20 µmol/l), 0.2 µl Taq DNA polymerase (5 U/µl) and 30 ng Bga genomic DNA template. The amplification conditions were as follows: 94°C for 4 min followed by 35 cycles of 94°C for 30 sec, 50°C for 30 sec, 72°C for 45 sec and a final extension at 72°C for 7 min.

Cloning of CODEHOP amplification products

Purification of CODEHOP amplification products was performed with an E.Z.N.A gel extraction kit, according to the manufacturer's instructions. Following purification, the fragments were linked with a T-vector using pGEM®-T Vector Systems kit purchased from Promega Corp., at 4°C overnight. Subsequently, the products were transformed into E.coli competent cells (DH5α) by performing heat-shock, followed by cultivation on a shaker at a speed of 150 RPM for 1 h at 37°C.Subsequently, the plasmid was extracted using a MiniBEST plasmid purification kit (Takara Biotechnology Co., Ltd.) according to the manufacturer's protocol. Sanger sequencing was then performed to verify the inserted sequence. Sequencing was completed by Sangon Biotech Co., Ltd. (Shanghai, China).

Phylogenetic analysis

The gyrB gene sequences were compared with known sequences deposited in the NCBI database using the BlastN program (https://blast.ncbi.nlm.nih.gov/Blast.cgi). For each genomovar of Bcc, the strain with the most similar sequence of the gyrB gene of Bga was selected. Phylogenetic analysis was performed using the free tool, MEGA 5(https://www.megasoftware.net/) with the Neighbor-Joining algorithm, and the topological accuracy of the trees was evaluated with 1,000 bootstrap replicates.

Microarray analysis

A universal primer of the gyrB gene was designed according to the gyrB gene sequence obtained from Bga and sequences of Bcc downloaded from GenBank. However, two probes identifying Bga and several probes identifying Bcc and its genomovar were designed using AlleleID software 7.60(PremierBiosoft International, Palo Alto, CA, USA). Probes, with a 15-bp poly (dT) and an amino group at the 5′ terminal were conjugated to the glass substrate modified by an aldehyde group. Fluorescent labeling was incorporated in the amplification products by cy3-dCTP within the PCR procedure. PCR reaction was performed in a total volume of 10 µl containing 10X PCR buffer, 25 mmol/ldNTPs, 250 nmol Cy™3-dCTP, 20 µmol/l of each primer, 5 U/µl Taq DNA polymerase and 0.5 µl Bga/Bcc genomic DNA. The amplification instructions were as follows: 94°C for 4 min followed by 35 cycles of 94°C for 30 sec, 56°C for 1 min, 72°C for 45 sec and 72°C for 7 min. Amplification products were initially mixed with the hybridization buffer (6X Saline Sodium Citrate, 0.5% SDS, 100 µg/ml, Salmon DNA (Sigma-Aldrich; Merck KGaA) preheated to 50°C, followed by heating at 95°C for 5 min. Subsequently, the mixture was incubated on ice and water for 5 min. After a 2-h hybridization, the chip was washed twice with washing buffer (20 mM Tris-HCl, 150 mM NaCl, 0.05% Tween-20) and air-dried. Finally, a GenePix 4200A (Molecular Devices, LLC, Sunnyvale, CA, USA) scanner was used for the results.

Results

CODEHOP primers and verification primers

Two sets of primer pairs were eventually selected (Table I), in which Y, R, N in the sequence represented the degenerate bases. The bases in the capital form represented the consensus clamp and those in the lowercase form represented the degenerate core according to the principal of CODEHOP primers. Two pairs of verification primers were designed based on the gyrB gene sequence of B. gladioli (Table II).

Table I.

Consensus-degenerate hybrid oligonucleotide primers.

Table I.

Consensus-degenerate hybrid oligonucleotide primers.

NameSequence (5′-3′)DegeneracyTm value, °C
BgyrbF GACGGCAAGAAGCGCttyatggartt  460.2
BgyrbR CACGGACACGCGCacrttnccrtg1660.6
BgyrbR' TGGTAGTCGGCGGTGtgytgraaytc  860.3

[i] Y represents T or C; r represents A or G; n represents T, A, G or C; uppercase letters represent the consensus clamp; lowercase letters represent the degenerate core.

Table II.

Verification primers.

Table II.

Verification primers.

NameSequence (5′-3′)Length of amplicon, bp
bgrybseq1F CGAGTATCACTACGACATCC442
bgrybseq1R CACCTTCACCGACAACAC
bgrybseq2F TCCGACGATCTTCCACAT271
bgrybseq2R CACCTTCACCGACAACAC
CODEHOP PCR amplification and verification

CODEHOP PCR was performed in a gradient pattern with a decrease in the annealing temperature of 0.5°C (from 49.5–47°C) using the BgyrbF/BgyrbR primers. As demonstrated in Fig. 1, positive bands were obtained using such primers at a temperature between 47.5 and 48.5°C. On this basis, CODEHOP PCR was repeated using an annealing temperature of 48°C. The repeatability of the amplification results by BgyrbF/BgyrbR are indicated in Fig. 2.

Two verification primers were used to verify the amplified products of CODEHOP PCR. As demonstrated in Fig. 3, two pairs of primers (bgrybseq1F/bgrybseq1R and bgrybseq2F/bgrybseq2R) were valid for amplification of the CODEHOP product, and two amplification fragments with lengths of 442 and 271 bp were obtained, respectively.

Once the verification process was complete, DNA sequencing was performed on the CODEHOP products. The full length of the sequence was 1,644 bp, which was close to the full length of the deposited gyrB gene of B. gladioli. Sequence comparison was performed by the BlastN program, which revealed a maximum identity of 87% between the gyrB gene of Bga and that of the B. multivorans strain, FCF11. However, according to the sequencing results, the non-degenerate sequences of CODEHOP primers were BgyrbF (5′-GACGGCAAGAAGCGCTTTATGGAATT-3′) and BgyrbR (5′-CACGGACACGCGCACATTTCCATG-3′).

Phylogenetic analysis

Strains of Bcc selected for the phylogenetic analysis are listed in Table III. Multi-alignments including nine genomovar gyrB sequences of Bcc and the gyrB sequence of Bordetella pertussis CS as outgroup deposited in GenBank were used to construct the phylogenetic tree. As demonstrated in Fig. 4, Bga formed a single cluster separated from Bcc.

Table III.

Strains used for phylogenetic analysis.

Table III.

Strains used for phylogenetic analysis.

StrainAccession no.Coverage, %Similarity (nucleotide, %)Similarity (protein, %)
Burkholderiacepacia strain LMG 18821EU240562  998689
Burkholderiamultivorans strain FCF11AY9968761008787
Burkholderiacenocepacia strain MVPC1_73_gvrIIIbAY996886  998690
Burkholderiastabilisstrain LMG 18888EU240566  998689
Burkholderiavietnamiensis strain LMG 18836EU240564  988689
Burkholderiadolosa strain LMG 18942AY9879241008788
Burkholderiaambifaria strain LMG 19182EU240568  998690
Burkholderiaanthina strain LMG 20980AY987928  988589
Burkholderiapyrrocinia strain FCF46AY9879321008689
Bordetella pertussis CSCP002695  7180
Results of the microarray assay

The primers and probes designed for the discrimination of Bga and Bcc are summarized in Table IV. Universal primer pairs designated as 20157F/20157R for the amplification of the gyrB gene of Bga and Bcc were designed. A weak, non-specific band was observed in B. cenocepacia, B. stabilis, B. anthina and B. pyrrocinia (Figs. 5 and 6). After raising the annealing temperature to 60°C, the non-specific bands in B. cenocepacia and B. anthina were eliminated (data not shown). For B. vietnamiensis, amplification was effective by decreasing the annealing temperature to 50°C, as well as for B. cepacia. No positive bands were obtained in the amplification performed using the template obtained from B. andropogonis and B. caryohpy, respectively. On the contrary, a weak, non-specific band was obtained in B. glumae; however, the non-specific positive bands were not observed after raising the annealing temperature. A total of five genomovars and Bga amplified by 20157F/20157R were tested on the microchip assay, as demonstrated in Fig. 7. Between the two probes, primer Bga-P1 (Fig. 7A) was more effective for the recognition of Bga. Among the probes designed for identification of Bcc and its genomovars, the probe Geno5-P2 (Fig. 7B-F) designed based on the sequence of gyrB gene of B. vietnamiensis demonstrated the best recognition rate over all test genomovars, although it was originally designed for the recognition of B. vietnamiensis. Geno5-P2 revealed a weak, non-specific recognition rate with that of the amplification product of Bga, which could be easily eliminated following an optimized hybridization procedure. However, all the specific probes failed to recognize the target genomovar, which was speculated to be associated with the high identity between the gyrB gene of different genomovars of Bcc.

Table IV.

Sequence of primers and probes.

Table IV.

Sequence of primers and probes.

NameSequence (5′-3′)
20157F TCCTCCTTGCCGATCCCGCA
20157R AGAACCGCGGCACCGAAGTG
Bga-P1 NH2-d(T)15-CTTCACCGACAACACGCAG
Geno5-P2 NH2-d(T)15-AAGGTGCTCAACGTCGA

Discussion

CODEHOP strategy, a modified method of the ordinary degenerate PCR, is more effective than the ordinary degenerate, PCR particularly between distantly related species (26). A CODEHOP primer with a 5′ non-degenerate consensus sequence and a 3′ degenerate core guarantees the stringency and degeneracy in the amplification process.

In the present study, CODEHOP strategy was successfully performed to amplify the sequence of the gyrB gene of Bga based on the protein sequences of Bcc. One forward primer and two reverse primers were designed (one of the reverse primers failed to work). The amplification of the primer set BgyrbF/BgyrbR was not as stable as expected during the amplification performed on different strains of Bga. Thus, the most stable annealing temperature was 48°C. Furthermore, the strategy was more effective than the ordinary degenerate PCR, which failed to work for the amplification of the gryB gene (data not shown).

To obtain a magnified replication of CODEHOP amplification products, the products were purified and linked with a T-vector, and were transformed into E. coli competent cells (DH5α). Sequencing results revealed that the gene obtained showed an average similarity of 86% with the gyrB gene of nine genomovars of Bcc and a maximum identity of 87% with that of B. multivorans. In order to investigate the sequence homology of the gyrB gene between Bcc and Bga, a comparison was performed using Clustalx software, which revealed no evident variable region in these sequences. Subsequently, the nucleotide sequence was translated into a protein sequence, followed by querying using the BlastX program in GenBank. The results revealed an averaged similarity of 89% with the protein sequences of the nine genomovars of Bcc. Additionally, the revolutionary rate of the gyrB gene was faster at the nucleic acid level than at the protein level in related species, thus the nucleic acid sequence was employed to construct the phylogenetic tree.

A phylogenetic tree was constructed based on the single gyrB gene sequence of Bga and Bcc, which revealed a revolution divergence on the gyrB gene between these two categories. The discrimination utility of the gyrB gene between the two categories was then tested using microarray methods. To the best of our knowledge, it is difficult to find a well-performed universal primer for the gyrB gene of Bga and Bcc due to sequence variation. Mass sequence data was analyzed to find appropriate probes. In the present study, two probes for recognition of gyrB of Bga, three universal probes for recognition of that in Bcc, together with six probes specific for recognition of five different genomovars were initially designed. All the specific probes revealed cross-hybridization between different genomovars on the chip. Two probes, Bga-P1 and Geno5-P2, for recognition of Bgaand Bcc, respectively, demonstrated the best hybridization result. Furthermore, sequence analysis revealed that a difference was widely observed in the gyrB gene within the strains of the same genomovar. A noteworthy discovery was identified in B. multivoran; two obvious groups existed in the gyrBgene of B. multivoranbased on the similarity of gene sequences. This may explain the failure in the amplification using a universal primer, although it demonstrated a close similarity with the gyrB gene of Bga.

It remains a challenge to discriminate Bga from Bcc in clinical practice, and several molecular methods have been developed for this based on the 16S and 23S rRNA genes (17,18). In addition, a multiplex-PCR protocol has also been developed for the specific detection of B. plantarii, B. glumae and, B. gladioli in rice seeds based on the gyrB sequences (23). In the present study, CODEHOP strategy was used for amplification of the gyrB gene of Bga based on the protein sequence of the gyrB gene of Bcc. As demonstrated in the results, the strategy was practical, which makes it a utility tool for homologous gene study or marker gene selection between Bga and Bcc even within Bcc. In conclusion, the gyrB gene was a useful marker gene in discriminating Bga from Bcc based on the phylogenetic tree. Due to the high similarity of the gyrB gene sequence of Bga and Bcc, a single probe was not adequate to distinguish Bga from Bcc as revealed by the microarray results. Therefore, more specific probes based on discriminative genes that recognize different species would be required.

Acknowledgements

The authors would like to thank Dr Guan-Ning Xie of Zhejiang University for providing the DNA of Bcc.

Funding

The present study was supported by the fund of General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China (grant no. 2013IK227).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

LZ designed the experimental protocol, performed the experiments, collected and analyzed raw data and wrote the manuscript. WG modified the hybridization protocol of the microchip array. YY modified the protocol of CODEHOP PCR amplification. ZW provided the concept of the current study, reviewed all methods and results, revised the manuscript and approved publication of the final version of the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Severini G: Una batteriosidell ixiamaculata e del gladiolus colvilli. Annali di Botanica. 11:413–424. 1913.

2 

Hildebrand DC, Palleroni NJ and Doudoroff M: Synonymy of pseudomonas gladioli severini 1913 and pseudomonas marginata (McCulloch 1921) stapp 1928. Int J Syst Evol Microbiol. 23:433–437. 1973.

3 

Yabuuchi E, Kosako Y, Oyaizu H, Yano I, Hotta H, Hashimoto Y, Ezaki T and Arakawa M: Proposal of burkholderia gen. nov. and transfer of seven species of the genus pseudomonas homology group II to the new genus, with the type species burkholderia cepacia (Palleroni and Holmes 1981) comb. nov. Microbiol Immunol. 36:1251–1275. 1992. View Article : Google Scholar : PubMed/NCBI

4 

Mortensen JE, Schidlow DV and Stahl EM: Pseudomonas gladioli (marginata) isolated from a patient with cystic fibrosis. Clin Microbiol Newsletter. 10:29–30. 1988. View Article : Google Scholar

5 

Christenson JC, Welch DF, Mukwaya G, Muszynski MJ, Weaver RE and Brenner DJ: Recovery of Pseudomonas gladioli from respiratory tract specimens of patients with cystic fibrosis. J Clin Microbiol. 27:270–273. 1989.PubMed/NCBI

6 

Ross JP, Holland SM, Gill VJ, DeCarlo ES and Gallin JI: Severe Burkholderia (Pseudomonas) gladioli infection in chronic granulomatous disease: Report of two successfully treated cases. Clin Infectr Dis. 21:1291–1293. 1995. View Article : Google Scholar

7 

Khan SU, Gordon SM, Stillwell PC, Kirby TJ and Arroliga AC: Empyema and bloodstream infection caused by Burkholderia gladioli in a patient with cystic fibrosis after lung transplantation. Pediatr Infect Dis J. 15:637–639. 1996. View Article : Google Scholar : PubMed/NCBI

8 

Ursing JB, Rossell RA, Garcfa-Valdes E and Lalucat J: Taxonomic note: A pragmatic approach to the nomenclature of phenotypically similar genomic groups. Society for General Microbiology, Reading, ROYAUME-Uni. 1995.

9 

Yoshihisa H, Zenji S, Fukushi H, Katsuhiro K, Haruhisa S and Takahito S: Production of antibiotics by Pseudomonas cepacia as an agent for biological control of soilborne plant pathogens. Soil Biology Biochem. 21:723–728. 1989. View Article : Google Scholar

10 

McLoughlin TJ, Quinn JP, Bettermann A and Bookland R: Pseudomonas cepacia suppression of sunflower wilt fungus and role of antifungal compounds in controlling the disease. Appl Environmental Microbiol. 58:1760–1763. 1992.

11 

King EB and Parke JL: Population density of the biocontrol agent Burkholderia cepacia AMMDR1 on four pea cultivars. Soil Biol Biochem. 28:307–312. 1996. View Article : Google Scholar

12 

Isles A, Maclusky I, Corey M, Gold R, Prober C, Fleming P and Levison H: Pseudomonas cepacia infection in cystic fibrosis: An emerging problem. J Pediatr. 104:206–210. 1984. View Article : Google Scholar : PubMed/NCBI

13 

Thomassen MJ, Demko CA, Klinger JD and Stern RC: Pseudomonas cepacia colonization among patients with cystic fibrosis. A new opportunist. Am Rev Respir Dis. 131:791–796. 1985.PubMed/NCBI

14 

Lacy DE, Spencer DA, Goldstein A, Weller PH and Darbyshire P: Chronic granulomatous disease presenting in childhood with Pseudomonas cepacia septicaemia. J Infect. 27:301–304. 1993. View Article : Google Scholar : PubMed/NCBI

15 

Speert DP, Bond M, Woodman RC and Curnutte JT: Infection with Pseudomonas cepacia in chronic granulomatous disease: Role of nonoxidative killing by neutrophils in host defense. J Infect Dis. 170:1524–1531. 1994. View Article : Google Scholar : PubMed/NCBI

16 

Holmes A, Govan J and Goldstein R: Agricultural use of burkholderia (Pseudomonas) cepacia: A threat to human health? Emerg Infect Dis. 4:221–227. 1998. View Article : Google Scholar : PubMed/NCBI

17 

Whitby PW, Pope LC, Carter KB, LiPuma JJ and Stull TL: Species-specific PCR as a tool for the identification of burkholderia gladioli. J Clin Microbiol. 38:282–285. 2000.PubMed/NCBI

18 

Bauernfeind A, Schneider I, Jungwirth R and Roller C: Discrimination of burkholderia gladioli from other burkholderia species detectable in cystic fibrosis patients by PCR. J Clin Microbiol. 36:2748–2751. 1998.PubMed/NCBI

19 

Coenye T, Schouls LM, Govan JR, Kersters K and Vandamme P: Identification of Burkholderia species and genomovars from cystic fibrosis patients by AFLP fingerprinting. Int J Syst Bacteriol. 4:1657–1666. 1999. View Article : Google Scholar

20 

Vermis K, Coenye T, Mahenthiralingam E, Nelis HJ and Vandamme P: Evaluation of species-specific recA-based PCR tests for genomovar level identification within the Burkholderia cepacia complex. J Med Microbiol. 51:937–940. 2002. View Article : Google Scholar : PubMed/NCBI

21 

Baldwin A, Mahenthiralingam E, Thickett KM, Honeybourne D, Maiden MC, Govan JR, Speert DP, Lipuma JJ, Vandamme P and Dowson CG: Multilocus sequence typing scheme that provides both species and strain differentiation for the Burkholderia cepacia complex. J Clin Microbiol. 43:4665–4673. 2005. View Article : Google Scholar : PubMed/NCBI

22 

Payne GW, Vandamme P, Morgan SH, Lipuma JJ, Coenye T, Weightman AJ, Jones TH and Mahenthiralingam E: Development of a recA gene-based identification approach for the entire burkholderia genus. Appl Environ Microbiol. 71:3917–3927. 2005. View Article : Google Scholar : PubMed/NCBI

23 

Maeda Y, Shinohara H, Kiba A, Ohnishi K, Furuya N, Kawamura Y, Ezaki T, Vandamme P, Tsushima S and Hikichi Y: Phylogenetic study and multiplex PCR-based detection of burkholderiaplantarii, burkholderiaglumae and burkholderia gladioli using gyrB and rpoD sequences. Int J Syst Evol Microbiol. 56:1031–1038. 2006. View Article : Google Scholar : PubMed/NCBI

24 

Slinger R, Yan L, Myers R, Ramotar K, St Denis M and Aaron SD: Pyrosequencing of a recA gene variable region for burkholderia cepacia complex genomovar identification. Diagn Microbiol Infect Dis. 58:379–384. 2007. View Article : Google Scholar : PubMed/NCBI

25 

Tabacchioni S, Ferri L, Manno G, Mentasti M, Cocchi P, Campana S, Ravenni N, Taccetti G, Dalmastri C, Chiarini L, et al: Use of the gyrB gene to discriminate among species of the Burkholderia cepacia complex. FEMS Microbiol Lett. 281:175–182. 2008. View Article : Google Scholar : PubMed/NCBI

26 

Rose TM, Henikoff JG and Henikoff S: CODEHOP (COnsensus-DEgenerate Hybrid Oligonucleotide Primer) PCR primer design. Nucleic Acids Res. 31:3763–3766. 2003. View Article : Google Scholar : PubMed/NCBI

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Zhang L, Gao W, Yin Y and Wang Z: Discrimination of Burkholderia gladioli pv.alliicola and B. cepacia complex using the gyrB gene of B. gladioli pv. alliicola. Exp Ther Med 17: 1870-1876, 2019
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Zhang, L., Gao, W., Yin, Y., & Wang, Z. (2019). Discrimination of Burkholderia gladioli pv.alliicola and B. cepacia complex using the gyrB gene of B. gladioli pv. alliicola. Experimental and Therapeutic Medicine, 17, 1870-1876. https://doi.org/10.3892/etm.2018.7137
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Zhang, L., Gao, W., Yin, Y., Wang, Z."Discrimination of Burkholderia gladioli pv.alliicola and B. cepacia complex using the gyrB gene of B. gladioli pv. alliicola". Experimental and Therapeutic Medicine 17.3 (2019): 1870-1876.
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Zhang, L., Gao, W., Yin, Y., Wang, Z."Discrimination of Burkholderia gladioli pv.alliicola and B. cepacia complex using the gyrB gene of B. gladioli pv. alliicola". Experimental and Therapeutic Medicine 17, no. 3 (2019): 1870-1876. https://doi.org/10.3892/etm.2018.7137