Skip to main content
The Open Microbiology Journal logoLink to The Open Microbiology Journal
. 2016 Nov 30;10:176–182. doi: 10.2174/1874285801610010176

Respiratory Tularemia: Francisella Tularensis and Microarray Probe Designing

Reza Ranjbar 1, Payam Behzadi 2,*, Caterina Mammina 3
PMCID: PMC5204066  PMID: 28077973

Abstract

Background:

Francisella tularensis (F. tularensis) is the etiological microorganism for tularemia. There are different forms of tularemia such as respiratory tularemia. Respiratory tularemia is the most severe form of tularemia with a high rate of mortality; if not treated. Therefore, traditional microbiological tools and Polymerase Chain Reaction (PCR) are not useful for a rapid, reliable, accurate, sensitive and specific diagnosis. But, DNA microarray technology does. DNA microarray technology needs to appropriate microarray probe designing.

Objective:

The main goal of this original article was to design suitable long oligo microarray probes for detection and identification of F. tularensis.

Method:

For performing this research, the complete genomes of F. tularensis subsp. tularensis FSC198, F. tularensis subsp. holarctica LVS, F. tularensis subsp. mediasiatica, F. tularensis subsp. novicida (F. novicida U112), and F. philomiragia subsp. philomiragia ATCC 25017 were studied via NCBI BLAST tool, GView and PanSeq Servers and finally the microarray probes were produced and processed via AlleleID 7.7 software and Oligoanalyzer tool, respectively.

Results:

In this in silico investigation, a number of long oligo microarray probes were designed for detecting and identifying F. tularensis. Among these probes, 15 probes were recognized as the best candidates for microarray chip designing.

Conclusion:

Calibrated microarray probes reduce the biasis of DNA microarray technology as an advanced, rapid, accurate and cost-effective molecular diagnostic tool with high specificity and sensitivity. Professional microarray probe designing provides us with much more facility and flexibility regarding preparation of a microarray diagnostic chip.

Keywords: Bioinformatics, DNA microarray, Dry lab, Francisella tularensis, Probe designing, Tularemia

INTRODUCTION

Francisella as the single member of Francisellaceae family has no intimate phylogenetic relatives to other pathogenic bacteria. There are just some far phylogenetic relationships between Francisella, Legionella, and Coxiella burnetti [1, 2].

There are four well-known subspecies belonging to Francisella tularensis (F. tularensis) including holarctica (Type B), mediasiatica, novicida, and tularensis (Type A). F. tularensis subsp. tularensis is recognized as the most deathful subspecies which encompasses a vast range of virulent factors [3-5].

The intracellular gram negative bacterium of F. tularensis is an invasive pathogenic microorganism which may lead to fatal infectious disease of tularemia in the host with a low infective cell number of 10. The zoonotic infection of tularemia is clinically divided into six forms of Glandular, Oculoglandular, Oropharyngeal, Respiratry, Typhoidal and Ulceroglandular diseases [5-10].

Respiratory tularemia is recognized as the most severe form of tularemia with a mortality rate up to 30% if not treated; therefore, F. tularensis is known as a potential biological weapon and categorized in group A of bacterial pathogenic agents [1, 7, 11-15].

Because of the life threatening and severity of respiratory tularemia, the use of a rapid, accurate, and reliable diagnostic technique is an urgent. An accurate diagnosis may lead to a definite and effective treatment. Hence, among different diagnostic methods such as microbiological cultures, serological assays, Polymerase Chain Reactions (PCRs) including real-time PCR, Enterobacterial Repetitive Intergenic Consensus PCR (ERIC-PCR) etc. and other routine techniques, the advanced molecular technique of DNA microarray is recommended [16-22].

DNA microarray technology is an advanced pan-genomic diagnostic technique which is consisted of two main parts including Dry Lab and Wet Lab. The bioinformatic section which covers the dry lab procedures is known as the in silico portion of the DNA Microarray technique. So, the probe designing processes construct the dry lab section of the tool. The wet lab of the technique concludes the in vitro portion of the technique. The wet lab section is composed of probe printing on a suitable coated surface of a glass slide (by robotic spotter), labeling of target bacterial genome (by fluorescent dyes such as Cy3 and Cy5), hybridization process (manually or automatically) and scanning. Even an ideal performed wet lab section is completely depended on the accuracy of probe designing procedures. An appropriate microarray probe designing guarantees the accuracy of outcomes resulted from DNA microarray technology and reduces the probable biases. Of course, a non-expertized done probe designing predominates the expertized wet lab procedures and gives huge noises, biases and enormous errors in final data. A well done microarray probe designing guarantees a rapid, accurate, sensitive, specific and cost effective diagnostic technique when the number of clinical specimens is high [16, 19, 20, 23-28].

Therefore, the main goal of the present research is to provide and design best candidates of microarray probes for diagnosing F. tularensis.

MATERIAL AND METHODS

As mentioned before, F. tularensis involves four subspecies of holarctica (Type B), mediasiatica, novicida, and tularensis (Type A). Besides, F. philomiragia is another species within the genus. However, there are considerable similarities between species and subspecies [1, 2, 29-31].

For this reason, the authors have used GView Server (https://server.gview.ca) to show unique sequences in F. tularensis subspecies and F.philomiragia (Fig. 1) [24, 25, 32, 33].

Fig. (1).

Fig. (1)

A comparison between F. tularensis subsp. tularensis FSC198 (NC_008245), F. tularensis subsp. holarctica (NC_007880), F. tularensis subsp. mediasiatica (NC_010677), F. tularensis subsp. novicida (F. novicida U112) (NC_008601), and F. philomiragia (NC_010336) for showing unique sequences within their genomes.

Regarding to GView Server application, the “unique genome” was selected for analysis type. Then the .gbk file belonging to F. tularensis subsp. tularensis FSC198 chromosome complete genome was downloaded from NCBI FTP site in FASTA format (http://ftp.ncbi.nlm.nih.gov/genomes/Bacteria/), zipped and uploaded as a reference genome [24, 25, 32-34].

Then, the downloaded .fna files belonging to F. tularensis subsp. holarctica LVS (Type B), F. tularensis subsp. mediasiatica, F. tularensis subsp. novicida (F. novicida U112), and F. philomiragia subsp. philomiragia ATCC 25017 from (https://lfz.corefacility.ca/panseq/analyses/) were also zipped and uploaded for comparing their genomes with the genome of F. tularensis subsp. tularensis FSC198 (Fig. 1). All of the parameters in GView Server were set up as default position of the server [24, 25, 32, 34, 35].

For determining and analysing the unique sequences of F. tularensis subsp. tularensis FSC198 (NC_008245), the PanSeq Server (http://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastn&PAGE_TYPE=BlastSearch&LINK_LOC =blasthome) was used. To perform the analysis throughout the novel region detector, F. tularensis subsp. tularensis FSC198 (NC_008245) presumed as the selected query and the other aforementioned species and subspecies were determined as selected references. Because of high genomic similarities among F. tularensis subspecies, the F. tularensis subsp. tularensis FSC198 complete genome was compared only with F. philomiragia subsp. philomiragia ATCC 25017 chromosome complete genome. The related parameters in PanSeq Server were set up according to default choices [1, 2, 24, 25, 29-31, 33].

The unique sequences of F. tularensis subsp. tularensis FSC198 were finally detected and blasted by the BLAST tool which is accessible via NCBI (http://blast.ncbi.nlm.nih.gov/Blast.cgi? PROGRAM=blastn & PAGE_TYPE= BlastSearch& LINK_LOC=blasthome) [16, 19, 24, 25, 33, 34, 36, 37].

The super unique regions identified by BLAST tool were then processed for microarray probe designing. Therefore, the AlleleID 7.7 software was used for designing long oligo microarray probes. The length of probes were selected between 55 and 64 nucleotides. Other parameters regarding AlleleID software were selected in accordance with default forms [16, 24, 25, 33, 34].

The designed probes were then evaluated via NCBI BLAST tool. The confirmed microarray probes were finally tested by oligoanalyzer 3.1 (https://eu.idtdna.com/calc/analyzer) (an online tool) for appropriate structure and suitable physico-chemical characteristics. The related properties were identified via hairpin button. Other parameters were presumed as default position. Finally, the proper microarray probes were designed and produced to prepare a diagnostic DNA microarray chip [16, 19, 24, 33, 34, 36].

RESULTS

The genomic maps relating to each species and subspecies are shown in Fig. (1). The figure indicates the comparative pangenomic result obtained from pangenome analysis achieved by GView Server. Each color is pertaining to an individual strain. The colored regions involved similar sequences relating to genomes while the white regions are unique sectors among bacterial cases.

In addition to Gview server, the pan-genomic analyses achieved by PanSeq server. The results revealed unique genomic sectors within the aforementioned species and subspecies genomes including F. tularensis subsp. tularensis FSC198 (NC_008245), F. tularensis subsp. holarctica (NC_007880), F. tularensis subsp. mediasiatica (NC_010677), F. tularensis subsp. novicida (F. novicida U112) (NC_008601), and F. philomiragia (NC_010336). These analyses were vital for recognizing the unique regions for each strain.

The utilization of important pangenomic servers like Geview and PanSeq, BLAST tool (NCBI), probe designing soft ware of AlleleID 7.7 was necessary for obtaining 15 probes as the best candidate long oligo DNA microarray probes for detection and identification of F. tularensis. The processed and best candidate long oligo DNA microarray probes with high sensitivity and specificity are indicated in Table 1. These suggested probes were appropriate for recognition of F. tularensis [24].

Table 1. 15 Best candidate microarray probes for detection and identification of F. tularensis.

Microorganism Long oligo Microarray Probe Length Location and gene product
F. tularensis ATATTCTACTAAAGTCCTACTTCCATCAGCAGGGCACAATTCTTGACCATCAGGTAA 57 115132-115188
Hypothetical protein
ACGTTACCTGACAATATAGACAGTGACAAAATAGAAGCTAAATACAGTAATGGTGTACTAAGC 63 118942-119004 molecular chaperone Hsp20
TGTGCTTACAAGGGAAAGGCTATGCTTTATTACCAAAGTCAGACATTATAGACGAAA 57 1861738-1861794
Hypothetical protein
AGAGACATCGTAATTAATAAACATGAAGAAGGTATGACGGAGTTCGAGCTGAGTAAGTTT 60 3776-3835
Transposase family protein
AGGGACTTCGATTATATAGTTACCATTGATGTAATATACTGTACCTCCAGCAACAACTGC 60 10755-10814
Membrane protein
CGTCGAAATTACATCAATAGTCGCATTTATCTTAACAGTTCTTATATATCGTGAGCATTGGCT 63 16750-16812
Nicotinamide mononucleotide transporter
AGAGTCAGGAGAGATTGAGCCAATATCTTTGCCACTTATACTAATTGTGTAGTTAATAGC 60 20655-20714
Chitinase
TAGATAATGTGCTTTGGTCAGGTCGGGTTGCTGATAAATCAAATAACGAGGTAAACA 57 18798-18854
SAM-dependent methyltransferase
AAGTTAGATGCTTTAGTATTTACAGGAGGTATTGGTGAGAATGCTGCTAATATCCGT 57 96305-96361
Acetate kinase
TACTACTTGGCTGGATCGGTGTTCGCTTGATGAATAAATCAGATGATGGTAATACTCT 57 1859056-1859113
Sodium:proton antiporter
AACATCAGTATCTAATCCACTACCTCGAATCTTACACAAAGCAACATCTATCCCATCT 58 29176-29233
Anhydro-N-acetylmuramic acid kinase
AGAACCTCTTAGTCGTATTTACTATTACTTAGCCGTGCCAATTACCAGCAAATCAGTTAAAGA 63 38292-38354
Hypothetical protein
ACAACCATCACCATCCTTATCCGATGTAACTACAAGTTCATGTCCTAGTTCTTCTAA 57 1873414-1873470
Formate dehydrogenase
TTTCATAATAACACCATTTATCGCAGCACCAACAACAAACCCAGCAATAAGTATCGC 57 51911-51967
Membrane protein
TAACACTAGAACCATGCTGTCACTGTGGAAGAACTCCTCCCTGTACTGATACCATAAT 58 33959-34016
Pyrimidine reductase

DISCUSSION

Tularemia is recognized as a reemerging infectious disease with a high number of outbreaks in different countries. Besides, there are many similarities between respiratory tularemia and other respiratory infectious diseases such as mycobacterial tuberculosis, mycotic and different bacterial pneumonia, lung abscess, lung lymphoma, lung carcinoma, influenza and acute respiratory distress syndrome (ARDS). The general clinical demonstrations relating to pulmonary tularemia are variable from bronchitis, bronchopneumonia and pharyngitis to hilar lymphadenitis and pleuropneumonitis [6, 13, 15, 38, 39].

Because of the severity of respiratory tularemia and its fast progression within the host tissues, a rapid, accurate, sensitive, specific, reliable and cost effective diagnostic technique like microarray technology is needed for an appropriate diagnosis and a definite antibiotic therapy [8, 16-20, 23, 40-44].

There are different traditional microbiological diagnostic methods including direct microscopic observations of clinical specimens, histological studies, medium culture, serological assays, enzyme linked immuno sorbent assay (ELISA), and imaging. But these techniques are time consuming with low specificity and sensitivity [6, 7, 45].

PCRs such as nested PCR, ERIC PCR, real-time PCR are suitable diagnostic assays with high accuracy, sensitivity and specificity when the number of samples is low. They also are cost effective; but, they are not accurate, sensitive, specific and cost effective in the cases with huge number of specimens [16, 17, 21, 24, 25, 36, 41, 43, 46].

Indeed, the microarray technology is used for detection and identification of several microbial DNA sequence targets which are mixed within a clinical specimen [22, 47].

The microbial genomics has increased the optimization of diagnostic methods during last decade. The progression of free web databases and next generation sequencing (NGS) technologies such as DNA microarray provide us with a rapid, and reliable diagnostic tool for accurate detection and identification of pathogenic agents in microbiological samples to have definite therapeutic methods [16, 19, 20, 41].

Despite the importance of each procedure of DNA microarray technique, the probe designing performance is a critical and considerable procedure which makes DNA microarray technology a rapid, reiable, accurate, sensitive, specific and flexible diagnostic method. The sequence, calibration and the length of microarray probes directly affect the quality of analytical outcomes [16, 23-25, 33, 42, 48].

DNA microarray technology is an advanced diagnostic tool which enables us to detect and identify the target DNA sequences among hundreds of thousand sequences, genes, and microorganisms. As, the human respiratory tract possesses a complicated microbiome and the pathogenic agents of this tract include bacteria, fungi, parasites and viruses, so DNA microarray technology is a proper and preferred diagnostic tool [16, 20, 43, 49, 50].

According to the text above, rapidity and accuracy are two important factors in association with recognition of respiratory tularemia; Because, a rapid and accurate diagnosis may lead to a fast and definite treatment which resulting in improvement and reducing the mortality rate among patients with pulmonary tularemia. Moreover, the possibility of microarray probe designing provides us to have a vast range of probes. This ability makes DNA microarray a flexible, easy, simple, cost effective and useful technique. Moreover, the DNA microarray technique is able to recognize multi-drug resistant microbial strains [24, 26, 33].

CONCLUSION

Microarray probe designing enables us to choose the best candidates among several choices and to design a microarray chip with local genomic microbial species and strains with high efficacy. An expert of microarray probe designing, reduces the cost of chip upgrading process.

ACKNOWLEDGEMENTS

This research was supported by a grant provided by Deputy of Research and Technology, Ministry of Health and Medical education, Tehran, Iran.

CONFLICT OF INTEREST

The authors confirm that this article content has no conflict of interest.

REFERENCES

  • 1.Larsson P., Oyston P.C., Chain P., Chu M.C., Duffield M., Fuxelius H.H., Garcia E., Hälltorp G., Johansson D., Isherwood K.E., Karp P.D., Larsson E., Liu Y., Michell S., Prior J., Prior R., Malfatti S., Sjöstedt A., Svensson K., Thompson N., Vergez L., Wagg J.K., Wren B.W., Lindler L.E., Andersson S.G., Forsman M., Titball R.W. The complete genome sequence of Francisella tularensis, the causative agent of tularemia. Nat. Genet. 2005;37(2):153–159. doi: 10.1038/ng1499. [DOI] [PubMed] [Google Scholar]
  • 2.Forsman M., Sandström G., Sjöstedt A. Analysis of 16S ribosomal DNA sequences of Francisella strains and utilization for determination of the phylogeny of the genus and for identification of strains by PCR. Int. J. Syst. Bacteriol. 1994;44(1):38–46. doi: 10.1099/00207713-44-1-38. [DOI] [PubMed] [Google Scholar]
  • 3.Ariza-Miguel J., Johansson A., Fernández-Natal M.I., Martínez-Nistal C., Orduña A., Rodríguez-Ferri E.F., Hernández M., Rodríguez-Lázaro D. Molecular investigation of tularemia outbreaks, Spain, 19972008. Emerg. Infect. Dis. 2014;20(5):754–761. doi: 10.3201/eid2005.130654. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Rossow H., Forbes K.M., Tarkka E., et al. Experimental infection of voles with francisella tularensis indicates their amplification role in tularemia outbreaks. PLoS One. 2014;9(10):e108864. doi: 10.1371/journal.pone.0108864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Behzadi P., Ranjbar R. Enzymatic pathways of intracellular survival, replication and phagosomal escape of francisella spp.: A review. MEDT. 2015;1:1–5. [Google Scholar]
  • 6.Cleveland K.O. Taluremia Medscape: emedicine. 2016. Available from: http://emedicine.medscape.com/article/230923-overview#showall .
  • 7.Petersen J.M., Schriefer M.E. Tularemia: emergence/re-emergence. Vet. Res. 2005;36(3):455–467. doi: 10.1051/vetres:2005006. [DOI] [PubMed] [Google Scholar]
  • 8.Tärnvik A., Chu M.C. New approaches to diagnosis and therapy of tularemia. Ann. N. Y. Acad. Sci. 2007;1105:378–404. doi: 10.1196/annals.1409.017. [DOI] [PubMed] [Google Scholar]
  • 9.Çelebi G., Baruönü F., Ayoğlu F., Cinar F., Karadenizli A., Uğur M.B., Gedikoğlu S. Tularemia, a reemerging disease in northwest Turkey: epidemiological investigation and evaluation of treatment responses. Jpn. J. Infect. Dis. 2006;59(4):229–234. [PubMed] [Google Scholar]
  • 10.Akalin H., Helvaci S., Gedikoğlu S. Re-emergence of tularemia in Turkey. Int. J. Infect. Dis. 2009;13(5):547–551. doi: 10.1016/j.ijid.2008.09.020. [DOI] [PubMed] [Google Scholar]
  • 11.Feldman K.A., Enscore R.E., Lathrop S.L., Matyas B.T., McGuill M., Schriefer M.E., Stiles-Enos D., Dennis D.T., Petersen L.R., Hayes E.B. An outbreak of primary pneumonic tularemia on Marthas Vineyard. N. Engl. J. Med. 2001;345(22):1601–1606. doi: 10.1056/NEJMoa011374. [DOI] [PubMed] [Google Scholar]
  • 12.Syrjälä H., Kujala P., Myllylä V., Salminen A. Airborne transmission of tularemia in farmers. Scand. J. Infect. Dis. 1985;17(4):371–375. doi: 10.3109/13813458509058777. [DOI] [PubMed] [Google Scholar]
  • 13.Zargar A., Maurin M., Mostafavi E. Tularemia, a re-emerging infectious disease in Iran and neighboring countrie. Epidemiol. Health. 2015;37:e2015011. doi: 10.4178/epih/e2015011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Sjöstedt A. Tularemia: history, epidemiology, pathogen physiology, and clinical manifestations. Ann. N. Y. Acad. Sci. 2007;1105:1–29. doi: 10.1196/annals.1409.009. [DOI] [PubMed] [Google Scholar]
  • 15.Dennis D.T., Inglesby T.V., Henderson D.A., Bartlett J.G., Ascher M.S., Eitzen E., Fine A.D., Friedlander A.M., Hauer J., Layton M., Lillibridge S.R., McDade J.E., Osterholm M.T., OToole T., Parker G., Perl T.M., Russell P.K., Tonat K., Working Group on Civilian Biodefense Tularemia as a biological weapon: medical and public health management. JAMA. 2001;285(21):2763–2773. doi: 10.1001/jama.285.21.2763. [DOI] [PubMed] [Google Scholar]
  • 16.Najafi A., Ram M., Ranjbar R. Microarray: Principles & applications. 1st ed. Tehran: Persian Science & Research Publisher; 2012. [Google Scholar]
  • 17.Behzadi P., Ranjbar R., Alavian S.M. Nucleic Acid-based approaches for detection of viral hepatitis. Jundishapur J. Microbiol. 2014;8(1):e17449. doi: 10.5812/jjm.17449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Behzadi P., Behzadi E., Ranjbar R. The application of Microarray in Medicine. ORL'ro. 2014;24:24–26. [Google Scholar]
  • 19.Behzadi P., Behzadi E., Ranjbar R. Microarray data analysis. Alban Med. J. 2014;4:84–90. [Google Scholar]
  • 20.Behzadi P., Behzadi E., Ranjbar R. Microarray and respiratory tract infections. ORL'ro. 2015;29:34–36. [Google Scholar]
  • 21.Ranjbar R., Tabatabaee A., Behzadi P. Enterobacterial repetitive intergenic consensus polymerase chain reaction (ERIC-PCR) genotyping of escherichia coli strains isolated from different animal stool specimens. Iran J. Pathol. [In press]. [PMC free article] [PubMed] [Google Scholar]
  • 22.Miller M.B., Tang Y.W. Basic concepts of microarrays and potential applications in clinical microbiology. Clin. Microbiol. Rev. 2009;22(4):611–633. doi: 10.1128/CMR.00019-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Behzadi P., Behzadi E., Ranjbar R. Microarray probe set: Biology, bioinformatics and biophysics. Alban Med. J. 2015;2:78–83. [Google Scholar]
  • 24.Behzadi P., Najafi A., Behzadi E., Ranjbar R. Microarray long oligo probe designing for Escherichia coli: an in-silico DNA marker extraction. Cent. European J. Urol. 2016;69(1):105–111. doi: 10.5173/ceju.2016.654. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Behzadi P., Ranjbar R. Microarray long oligo probe designing for Bacteria: An in silico pan-genomic research. Alban Med J. 2016;2:5–11. [Google Scholar]
  • 26.Behzadi P., Behzadi E., Ranjbar R. IL-12 family cytokines: General characteristics, pathogenic microorganisms, receptors, and signalling pathways. Acta Microbiol. Immunol. Hung. 2016;63(1):1–25. doi: 10.1556/030.63.2016.1.1. [DOI] [PubMed] [Google Scholar]
  • 27.Jonczyk R., Kurth T., Lavrentieva A., Walter J.G., Scheper T., Stahl F. Living cell microarrays: an overview of concepts. Microarrays (Basel) 2016;5(2):E11. doi: 10.3390/microarrays5020011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Patel A., Cheung S.W. Application of DNA microarray to clinical diagnostics. Methods Mol. Biol. 2016;1368:111–132. doi: 10.1007/978-1-4939-3136-1_9. [DOI] [PubMed] [Google Scholar]
  • 29.Kingry L.C., Petersen J.M. Comparative review of Francisella tularensis and Francisella novicida. Front. Cell. Infect. Microbiol. 2014;4:35. doi: 10.3389/fcimb.2014.00035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Grunow R., Splettstoesser W., McDonald S., Otterbein C., OBrien T., Morgan C., Aldrich J., Hofer E., Finke E.J., Meyer H. Detection of Francisella tularensis in biological specimens using a capture enzyme-linked immunosorbent assay, an immunochromatographic handheld assay, and a PCR. Clin. Diagn. Lab. Immunol. 2000;7(1):86–90. doi: 10.1128/cdli.7.1.86-90.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Broekhuijsen M., Larsson P., Johansson A., Byström M., Eriksson U., Larsson E., Prior R.G., Sjöstedt A., Titball R.W., Forsman M. Genome-wide DNA microarray analysis of Francisella tularensis strains demonstrates extensive genetic conservation within the species but identifies regions that are unique to the highly virulent F. tularensis subsp. tularensis. J. Clin. Microbiol. 2003;41(7):2924–2931. doi: 10.1128/JCM.41.7.2924-2931.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Sankarasubramanian J., Vishnu U.S., Sridhar J., et al. Pan-Genome of Brucella Species. Indian J. Microbiol. 2015;55:88–101. doi: 10.1007/s12088-014-0486-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Jahandeh N., Ranjbar R., Behzadi P., Behzadi E. Uropathogenic Escherichia coli virulence genes: invaluable approaches for designing DNA microarray probes. Cent. European J. Urol. 2015;68(4):452–458. doi: 10.5173/ceju.2015.625. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Khazaei Z., Najafi A., Piranfar V., Mirnejad R. Microarray-based long oligonucleotides probe designed for Brucella Spp. detection and identification of antibiotic susceptibility pattern. Electron Physician. 2016;8(4):2297–2303. doi: 10.19082/2296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Barel M., Charbit A. Francisella tularensis intracellular survival: To eat or to die. Microbes Infect. 2013;15:989–997. doi: 10.1016/j.micinf.2013.09.009. [DOI] [PubMed] [Google Scholar]
  • 36.Behzadi P., Behzadi E., Ranjbar R. Basic Modern Molecular Biology. 1st ed. Tehran: Persian Science & Research Publisher; 2014. [Google Scholar]
  • 37.Cho H., Chou H.H. Thermodynamically optimal whole-genome tiling microarray design and validation. BMC Res. Notes. 2016;9:305. doi: 10.1186/s13104-016-2113-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Maurin M., Pelloux I., Brion J.P., Del Banõ J.N., Picard A. Human tularemia in France, 20062010. Clin. Infect. Dis. 2011;53(10):e133–e141. doi: 10.1093/cid/cir612. [DOI] [PubMed] [Google Scholar]
  • 39.Miller R.P., Bates J.H. Pleuropulmonary tularemia. A review of 29 patients. Am. Rev. Respir. Dis. 1969;99(1):31–41. doi: 10.1164/arrd.1969.99.1.31. [DOI] [PubMed] [Google Scholar]
  • 40.Johansson A., Lärkeryd A., Widerström M., Mörtberg S., Myrtännäs K., Ohrman C., Birdsell D., Keim P., Wagner D.M., Forsman M., Larsson P. An outbreak of respiratory tularemia caused by diverse clones of Francisella tularensis. Clin. Infect. Dis. 2014;59(11):1546–1553. doi: 10.1093/cid/ciu621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Fournier P.E., Dubourg G., Raoult D. Clinical detection and characterization of bacterial pathogens in the genomics era. Genome Med. 2014;6(11):114. doi: 10.1186/s13073-014-0114-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Behzadi P., Najafi A., Behzadi E., et al. Detection and identification of clinical pathogenic fungi by DNA microarray. Infectio'ro. 2013;35:6–10. [Google Scholar]
  • 43.Behzadi P., Behzadi E. Environmental Microbiology. 1st ed. Tehran: Niktab Publisher; 2007. [Google Scholar]
  • 44.Franz D.R., Jahrling P.B., Friedlander A.M., McClain D.J., Hoover D.L., Bryne W.R., Pavlin J.A., Christopher G.W., Eitzen E.M., Jr Clinical recognition and management of patients exposed to biological warfare agents. JAMA. 1997;278(5):399–411. doi: 10.1001/jama.1997.03550050061035. [DOI] [PubMed] [Google Scholar]
  • 45.Syrjälä H., Koskela P., Ripatti T., Salminen A., Herva E. Agglutination and ELISA methods in the diagnosis of tularemia in different clinical forms and severities of the disease. J. Infect. Dis. 1986;153(1):142–145. doi: 10.1093/infdis/153.1.142. [DOI] [PubMed] [Google Scholar]
  • 46.Janda J.M., Abbott S.L. 16S rRNA gene sequencing for bacterial identification in the diagnostic laboratory: pluses, perils, and pitfalls. J. Clin. Microbiol. 2007;45(9):2761–2764. doi: 10.1128/JCM.01228-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Ventimiglia G., Alessi E., Petralia S. A bridge-like solution for Universal Microarray applications. Sens. Actuators B Chem. 2016;232:102–106. doi: 10.1016/j.snb.2016.03.119. [DOI] [Google Scholar]
  • 48.Nsofor C.A. DNA microarrays and their applications in medical microbiology. Biotechnol Mol. Biol. Rev. 2014;9:1–11. doi: 10.5897/BMBR2013.0216. [DOI] [Google Scholar]
  • 49.Wozniak-Kosek A., Kosek J., Zielnik-Jurkiewicz B. Detection of respiratory tract pathogens with molecular biology methods. Adv. Exp. Med. Biol. 2015;835:9–13. doi: 10.1007/5584_2014_30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Fournier P.E., Drancourt M., Raoult D. Bacterial genome sequencing and its use in infectious diseases. Lancet Infect. Dis. 2007;7(11):711–723. doi: 10.1016/S1473-3099(07)70260-8. [DOI] [PubMed] [Google Scholar]

Articles from The Open Microbiology Journal are provided here courtesy of Bentham Science Publishers

RESOURCES