Poster Chicago

1
WORK IN PROGRESS Validation of an oligonucleotide microarray for the detection of Brucella sp virulence genes WORK IN PROGRESS Validation of an oligonucleotide microarray for the detection of Brucella sp virulence genes Results Results Abstract Abstract 60 th Annual Brucellosis Research Conference (as a satellite meeting of CRWAD) December 1-2, 2007, Chicago Marriott, Chicago, Illinois The primary aim of this study was to create a diagnostic microarray for the identification of Brucella sp. of clinical importance in both the medical and veterinary field. The microarray should be able to identify other organisms that may cause abortions in animals or that may elicit an immunological response similar to that of Brucella sp. Oligonucleotide probes were designed specific to the most common species found to cause zoonotic pathologies; the sequences were designed from the following genes; 16S rRNA, 16S-23S rRNA intergenic transcribed spacer region (ITS), β- subunit of the DNA-dependent RNA polymerase (rpoβ), heat shock protein (hsp), gyrase beta (gyrβ) and from other genes usually used as PCR targets. This microarray also contains virulence factor genes specific to the Brucella sp., Preliminary results confirmed the microarray as an effective one-step method for the identification of Brucella sp. from culture even if , the validation is still in progress. 1 OIE COLLABORATING CENTRE FOR VETERINARY TRAINING, EPIDEMIOLOGY , FOOD SAFETY AND ANIMAL WELFARE Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “Giuseppe Caporale”. 64100 Teramo – Italy 2 NRC Biotechnology Research Institute, Montreal, Canada. http://www.nrc-cnrc.gc.ca/ Tonelli Alfreda 1 , Arbour Mélanie 2 , Ancora Massimo 1 , Monaco Federica 1 , Lelli Rossella 1 CORRESPONDING AUTHOR [email protected] Introduction Introduction Brucellosis is an infectious disease affecting both humans and animals all around the world. The etiological agents are intracellular Gram - microrganisms belonging to the genus Brucella. There are eight recognized host- specific Brucella species that differ in their preference for certain hosts. B. abortus preferentially infects cattle, B. melitensis infects sheep and goats, and B. suis infects pigs. All three of these species, as well as B. canis, can infect humans. Four other species also exist: B. ceti, B. pinnipedialis, B. ovis and B. neotomae (3, 4) Some of these species are subdivided into biovars according to classical laboratory techniques. The correct identification of the different species and biovars is essential for an accurate interpretation of the epidemiological information during the outbreaks of the disease. In this context, molecular biology has made a valuable contribution by greatly reducing diagnosis times and improving accuracy of results (5). Amongst the molecular techniques, DNA microarrays is a genomic tool presently used to measure the expression of many genes simultaneously (6). They are used to study altered gene expression and cellular protein profiles in human and animal pathologies (7), microarrays have been employed in the study of complex bacterial populations (8), taxonomy (9) and antimicrobial and virulence genes (1,2). Microarray was the chosen method because they have been shown to have higher specificity and higher sensitivity (10) than other molecular techniques, furthermore microarray procedures might enable harmonization of methods because it is easy to standardize, their increased use will enable pattern-recognition processes to be automated making it a simple robust method (11) applicable in any laboratory. Proper and expedient identification of Brucella sp. in an infection process will lead to; proper and better management of the disease; informed decisions for the prevention of the disease; proper collection of epidemiological data (12). A microarray containing various genes pertinent to the virulence of the target organism under study might enable the understanding of the mechanism of pathogenesis at the molecular level (13) and their genetic evolution process (14). “Signature sequences” were used to identify Brucella sp. and other bacteria in this study, simultaneous testing of the hybridization efficiency of extracted DNA to multiple sequences on a unique platform or in a single assay enabled fast and accurate identification of strains with minimal effort. This microarray is a one-step method after growth of organism and does not require any PCR amplification..As the efficiency of fluorescent incorporation will increase this method could be used directly on field specimens.of Brucella sp,. Materials and methods Materials and methods The oligonucleotides were designed by the following methods; OligoPicker software (15), extended published PCR primers and comparison of genomes (16) for positive and negative controls previously published sequences were used (17). Oligonucleotides were then checked for their selectivity with BLAST searches in GenBank (18). The resulting unique ‘signature sequences’ were analyzed with BLAST (18) for sequence homologies. The sequences were accepted when GC content was between 40-60%; less than 75% homology of sequence observed in non-target genes; the calculated ¢T is less than 10-15°C of the Tm’s of all the sequences; the non homology between target sequence and non-target genes is less than 14 contiguous base pairs; if do not exist palindromic hairpin sequences (19, 20, 72, 73). Table 1 reports the organisms identified by the microarray. Slides were designed so that two independent hybridizations may be carried out on each slide using independent cover slips. Each chosen unique sequence was printed four times on Corning Ultra GAPS slides (Corning Canada, Whitby, Ontario). Slides were spotted as reported in Maynard et al. 2005 (97) at the Microarray Laboratory at the NRC – BRI in Montreal, Canada. Two independent hybridisation were carried out per strain enabling technical replicates (21). DNA was extracted from Brucella sp with Wizard Genomic DNA Purification Kit (Promega, Milano, Italy). Extracted DNA concentration was measured using the Nanodrop Spectrophotometer (Nanodrop Technologies, Celbio Srl., Milan, Italy) and an amount of DNA corresponding to 300ng to 3 μg was brought to a total volume of 21μl by essication (Savant SpeedVac®, ArrayIt, USA) and resuspension in water, this DNA was then labelled with Invitrogen’s Bioprime DNA labelling system (Invitrogen Life Technologies, Milano, Italy) to the DNA random primers, 20 μl of a 2.5X solution is boiled for 5 min. and then placed on ice for 5 min., from the kit along with 1 μl of high concentration Klenow polymerase (40 U/μl) are added to 5 μl of a deoxynucleoside triphosphate mix (1.2mM dATP, 1.2 mM dGTP, 1,2 1.2 mM dTTP, 0,6 mM dCTP in 10mM Tris [pH 8.0] and 1mM EDTA), to this mix 3 μl of Cy5dCTP or Cy3dCTP (Amersham, Milan, Italy) are added to fluorescently label the DNA. The reaction was then carried out in a water bath in the dark for two hours at 37° C, the reaction is stopped by the addition of 5 μl of 0.5 M EDTA pH8.0. The labelled DNA was then purified by using the Qiagen PCR columns (Qiagen S.p.A., Milan, Italy) following the manufacturer’s protocol. The labelling efficiency of the DNA was then measured, the absorbance of the nucleic acid content of the eluted DNA and absorbance maximum of the dye was measured using a Nanodrop Spectrophotometer and by the application of the Beer-Lambert law the following parameters were calculated (13); labelled DNA, flourescent labelled dye and base to dye ratio was calculated at the following link (136); http://www.pangloss.com/seidel/Protocols/percent_inc.html. The percentage of incorporation was between 2% and 8% and the total amount of DNA used per hybridization was about 1.5-2.0 μg. An appropriate quantity of labelled purified Cy5or Cy3targets were transferred to an eppendorf tube and vacuum dried Pre-hybridization of the slide was perf o rmed, slide was hybridized with a pre-heated pre-hybridization buff e r containing 5X SSC, 0.1%SDS and 1%BSA and incubated at 42°C for at least one hour. Slides were prepared for hybridization addinga solution of 20μl of hybridisation buffer, 400μl of Dig Ease Buffer (Roche Diagnostics S.p.A., Milano, Italy), 20 μl Bakers tRNA (10mg/ml)(Sigma Aldrich S.p.A., Milan, Italy) and 20 μl of Sonicated Salmon Sperm DNA (10mg/ml) (Sigma Aldrich S.p.A., Milan, Italy) mixed to the labelled DNA which had been previously denatured and then kept at 42°C. Microarrays were hybridized overnight at 42°C in SlideBooster (Advalytix, ABI, Milan, Italy) stringency washes were performed with Advawash (Advalytix, ABI, Milan, Italy) using 1XSSC, 0.02%SDS preheated to 42°C. Microarrays were then scanned on ScanArray® with ScanArray Gx software (Perkin Elmer, Milan, Italy). Data was analyzed with ScanAlyze (22), Cluster and TreeView (22). Conclusions Conclusions The microarray prototype is an effective and rapid diagnostic tool for classification of Brucella sp. This prototype requires improvement but it is presently very useful for interspecies and intraspecies differentiation even if requires further validation and confirmation of its findings by PCR.. The prototype also contains virulence genes, we have not dealt with this aspect at length in this poster because they were placed in this microarray for future trascriptomic applications for investigations into the process of pathogenesis of the disease but as may be observed they also cluster the organisms. The cluster analysis tool developed by Eisen et al. (22) facilitates the application of our microarray prototype in the interpretation of the wealth of information generated by it. Eisen’s software proved to be indispensable for our purposes, but other informatics tools such as neural networks and wavelet, where profiles of reference strains will be used as training of data and unknowns, will be classified this process will automate, improve further and offer new solution for MDMs (Microbial Diagnostic Microarray) technology. This tool is an efficient, robust, easily to standardize, one-step method for the analysis of Brucella sp and could be usefull when applied directly to DNA extracted from biological specimens received in laboratories. Costs for microarray will most probably decrease in the future when its applications will be implemented in diagnostic laboratories. The array pictures of the first hybridizations may be observed in Figure 1, the strains seem to have a picture signature positive and negative control strains give excellent results. Figure 2 describes the layout of the array. This array contains signature sequence oligonucleotides for, ,Brucella sp and relative virulence genes. Initial cluster analysis gave positive results, as may be observed in Figure 3 the Brucella sp are clustered together in both clusters total [A] or selected [C] genes. Replicate hybridisations gave similar results in most cases, the results were repeatable, signature sequences characterizing both Buck 19 and RB51, B. abortus Biovar1, Biovar 3 and Biovar 9 as reported by Ratushna et al. (24) strains gave positive results. The microarray gave great resolution for the above strains, more work have to be done with Brucella abortus by looking at the individual genes as may be seen in Figure 3 F and G , replicates of all biovars and tests on biovar 3, have not yet been performed, it is essential that repeatability, reproduceability and PCR confirm these results, this will be determinant in the production of an excellent prototype. Data analysis and Software for analysis Data were analyzed and normalized as follows; the median value of fluorescent spot intensities after subtraction of local background intensity (intensities quantified by ScanAlyze software (22)) for each set of sequences was calculated, the median of quadruplicate spotted probes was compared to of the median of negative control spots. For each slide a cut-off for significant hybridization was established by calculating the mean and median of the signal-to- noise fluorescence ratio for both Brucella sp (PM) and. The cut- off was established as being the difference of the signal-to-noise fluorescence ratio of the greater of the mean or median of MM where the mean or median of PM must be greater than 1.25 that of the MM (23). Fig. 2. (A) Layout of array; (B) Layout of typical subarray gray circles are oligonucleotides the square disposition is the number of replicates per oligonucleotide the green circles are positive controls and the fuchsia are negative controls. The positive and negative controls are found on all subarrays. The first four rows of squares are Mycobacterium sp genes and the last five rows are Brucella sp genes. Fig. 1. The pictures of the hybridizations of the strains indicated may be observed Fig. 3. A] Cluster of total organisms and total genes; [B] Dendrogram of cluster with similarity of total organisms with total genes on microarray; [C]Cluster of total organisms with selected genes; [D] Cluster of virulence and only Brucella sp; [E] Dendrogram of cluster with similarity of virulence and Brucella sp. [F] Selected genes will cluster Brucella abortus, [G] Selected genes will cluster Brucella abortus. References References (1) Bruant G, Maynard C, Bekal S, Gaucher I, Masson L, Brousseau R, et al. Development and validation of an oligonucleotide microarray for detection of multiple virulence and antimicrobial resistance genes in Escherichia coli. Appl.Environ.Microbiol. 2006 May;72(5):3780-3784. (2) Hamelin K, Bruant G, El-Shaarawi A, Hill S, Edge TA, Bekal S, et al. A virulence and antimicrobial resistance DNA microarray detects a high frequency of virulence genes in Escherichia coli isolates from Great Lakes recreational waters. Appl. Environ. Microbiol. 2006 Jun;72(6):4200-4206. (3) Corbel MJ, Brintley-Morgan WJ. Genus Meyer and Shaw 1920. In: N.R. Kreig & J.G. Holt, eds, editor. In Bergey’s manual of systematic bacteriology, Vol. 1. 3rd ed. U.S.A.: Williams & Wilkins Co., Baltimore; 1984. p. 377-388. (4) Euzéby JP. List of Prokaryotic Names with Standing in Nomenclature. 2006; Available at: http://www.bacterio.cict.fr/m/ mycobacterium.html. Accessed 11/21, 2006. (5) Whatmore AM, Murphy TJ, Shankster S, Young E, Cutler SJ, Macmillan AP. Use of amplified fragment length polymorphism to identify and type Brucella isolates of medical and veterinary interest. J.Clin.Microbiol. 2005 Feb;43(2):761-769. (6) Strauss E. Arrays of hope. Cell 2006 Nov 17;127(4):657-659. (7) Casciano DA, Woodcock J. Empowering microarrays in the regulatory setting. Nat.Biotechnol. 2006 Sep;24(9):1103. (8) Bae JW, Rhee SK, Park JR, Chung WH, Nam YD, Lee I, et al. Development and evaluation of genome-probing microarrays for monitoring lactic acid bacteria. Appl.Environ.Microbiol. 2005 Dec;71(12):8825-8835. (9) Mariani TJ. Research Methods?How to Get Microarray Data 2006; Available at: http://www.thoracic.org/sections/research/research- m e t h o d s / a r t i c l e s / m i c r o a r r a y / h o w - t o - g e t - m i c r o a r r a y - d a t a - published.html. Accessed 11/2006, 2006. (10) L e o n a rd EE,2nd, Takata T, Blaser MJ, Falkow S, Tompkins LS, Gaynor EC. Use of an open-reading frame-specific Campylobacter jejuni DNA m i c ro a rray as a new genotyping tool for studying epidemiologically related isolates. J.Infect.Dis. 2003 Feb 15;187(4):691-694. (11) Bryant PA, Venter D, Robins-Browne R, Curtis N. Chips with everything: DNA microarrays in infectious diseases. Lancet Infect.Dis. 2004 Feb;4(2):100-111. (12) L. Papazisi L, Sung C, Bock G, Muñoz K, Howell H, Tettelin H, et al. Development of a Diagnostic Gene Chip for identification of Priority Biothreat Bacterial Pathogens. 2005; Available at: http://pfgrc.tigr.org/presentations/posters/2005_ASM_BIODEFENSE__ DIAGNOSTIC_MICROARRAY_multi.pdf#search=%22Bacterial%20dia gnostic%20microarray%22. Accessed 09/12, 2006. (13)Duggan DJ, Bittner M, Chen Y, Meltzer P, Trent JM. Expression profiling using cDNA micro a rrays. Nat.Genet. 1999 Jan;21(1 Suppl):10-14. (14) Herring CD, Raghunathan A, Honisch C, Patel T, Applebee MK, Joyce AR, et al. Comparative genome sequencing of Escherichia coli allows observation of bacterial evolution on a laboratory timescale. Nat.Genet. 2006 Dec;38(12):1406-1412. (15) Wang X, Seed B. Selection of Oligonucleotide Probes for Protein Coding Sequences. Bioinformatics 2003 May 1; 19(7):796-802. 2002. (16) Liolios K, Tavernarakis N, Hugenholtz P, Kyrpides NC. 0RW1S34RfeSDcfkexd09rT0 The Genomes On Line Database (GOLD) v.2: a monitor of genome projects worldwide. 2006; Available at: http://www.genomesonline.org/index.htm. Accessed 03/01, 2007. (17) Loy A, Horn M, Wagner M. probeBase: an online resource for rRNA- targeted oligonucleotide probes. Nucleic Acids Res. 2003 Jan 1;31(1):514-516. (18) NCBI. Local Alignment Search Tool (BLAST). 2006; Available at: http://www.ncbi.nlm.nih.gov/BLAST/. Accessed 12/06, 2006. (19) Kane M. Genomic Technologies. 2006; Available at: h t t p : / / w w w 2 . t e c h . p u rd u e . e d u / c i t / C o u r s e s / C P T 5 8 1 N / g e n o m i c _tech_lec_1.ppt. Accessed 11/30, 2006. (20) Kane MD, Jatkoe TA, Stumpf CR, Lu J, Thomas JD, Madore SJ. Assessment of the sensitivity and specificity of oligonucleotide (50mer) m i c ro a rrays. Nucleic Acids Res. 2000 Nov 15;28(22):4552-4557. (21) Bowtell D, Sambrook J. DNA Microarrays, A Molecular Cloning Manual. 1st ed. USA: Cold Spring harbor Laboratory Press; 2003. (22) Eisen MB, Spellman PT, Brown PO, Botstein D. Cluster analysis and display of genome-wide expression patterns. Proc.Natl.Acad. Sci.U.S.A. 1998 Dec 8;95(25):14863-14868. (23) Wilson KH, Wilson WJ, Radosevich JL, DeSantis TZ, Viswanathan VS, Kuczmarski TA, et al. High-density microarray of small-subunit ribosomal DNA probes. Appl.Environ.Microbiol. 2002 May;68(5):2535-2541. (24) Ratushna VG, Sturgill DM, Ramamoorthy S, Reichow SA, He Y, Lathigra R, et al. Molecular targets for rapid identification of Brucella spp. BMC Microbiol. 2006 Feb 22;6:13. Brucella abortus biovar 1 train 544 Brucella abortus biovar 2 Brucella abortus biovar 9 Brucella abortus RB51 Brucella melitensis biovar 3 Brucella melitensis B115 Brucella suis biovar 5 Brucella abortus biovar 4 Brucella abortus biovar 5 BUCK 19 Brucella suis biovar 1 Brucella suis biovar 2 Campylobacter coli Campylobacter jejuni ssp jejuni Brucella abortus biovar 6 Brucella abortus biovar 7 B rucella melitensis biovar 1 strain 16M Brucella melitensis biovar 2 Brucella suis biovar 3 Brucella suis biovar 4 Mycobacterium bovis BCG C o rynebacterium pseudotuberculosis Brucella ovis Agrobacterium tumefaciens Campylobacter jejuni subsp. jejuni Francisella sp. Leptospira interrogans Neospora caninum Salmonella enterica subsp. enterica serovar Dublin Agrobacterium rhizogenes Campylobacter mucosalis Francisella tularensis L. ivanovii Ochrobactrum anthropi Sarcocystis sp Brucella abortus biovar 1 str. 9-941 Chlamydophila abortus Francisella tularensis subsp. tularensis L. monocytogenes type I, 2, 3 Ochrobactrum anthropi Stenotrophomonas maltophilia Campylobacter coli Coxiella burnetii Francisella tularensis subsp. novicida L. monocytogenes vir. ass. genes Pasteurella multocida subsp multocida Toxoplasma gondii Campylobacter fetus s fetus E. coli O157:H7 Fusobacterium necrophorum ssp funduliforme L. monocytogenes vir. genes Phyllobacterium myrsinacearum Vibrio cholerae O1 biovar eltor Campylobacter fetus subsp. venerealis E. coli Fusobacterium necrophorum ssp necrophorum Manheimia haemolytica Rhizobium leguminosarum Vibrio cholerae strain non01 Campylobacter jejuni subsp. doylei Ensifer meliloti Leptospira sp Mycoplana dimorpha Salmonella enterica subsp. enterica serovar Abortusovis Yersinia enterocolitica O:9 Organisms identified by microarray

Transcript of Poster Chicago

WORK IN PROGRESSValidation of an oligonucleotide microarray forthe detection of Brucella sp virulence genes

WORK IN PROGRESSValidation of an oligonucleotide microarray forthe detection of Brucella sp virulence genes

ResultsResults

AbstractAbstract

60th Annual Brucellosis Research Conference (as a satellite meeting of CRWAD)

December 1-2, 2007, Chicago Marriott, Chicago, Illinois

The primary aim of this study was to create a diagnosticmicroarray for the identification of Brucella sp. of clinicalimportance in both the medical and veterinary field. Themicroarray should be able to identify other organisms thatmay cause abortions in animals or that may elicit animmunological response similar to that of Brucella sp.Oligonucleotide probes were designed specific to the mostcommon species found to cause zoonotic pathologies; thesequences were designed from the following genes; 16S rRNA,16S-23S rRNA intergenic transcribed spacer region (ITS), β-subunit of the DNA-dependent RNA polymerase (rpoβ), heatshock protein (hsp), gyrase beta (gyrβ) and from other genesusually used as PCR targets. This microarray also containsvirulence factor genes specific to the Brucella sp.,Preliminary results confirmed the microarray as an effectiveone-step method for the identification of Brucella sp. fromculture even if , the validation is still in progress.

1 OIE COLLABORATING CENTRE FOR VETERINARY TRAINING, EPIDEMIOLOGY, FOOD SAFETY AND ANIMAL WELFARE

Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “Giuseppe Caporale”. 64100 Teramo – Italy2 NRC Biotechnology Research Institute, Montreal, Canada. http://www.nrc-cnrc.gc.ca/

Tonelli Alfreda1, Arbour Mélanie2, Ancora Massimo1, Monaco Federica1, Lelli Rossella1

CORRESPONDING AUTHOR

[email protected]

IntroductionIntroductionBrucellosis is an infectious disease affecting both humans and animals all aroundthe world. The etiological agents are intracellular Gram - microrganisms belongingto the genus Brucella.There are eight recognized host- specific Brucella species that differ in theirpreference for certain hosts. B. abortus preferentially infects cattle, B. melitensisinfects sheep and goats, and B. suis infects pigs. All three of these species, as wellas B. canis, can infect humans. Four other species also exist: B. ceti, B. pinnipedialis,B. ovis and B. neotomae (3, 4) Some of these species are subdivided into biovarsaccording to classical laboratory techniques. The correct identification of thedifferent species and biovars is essential for an accurate interpretation of theepidemiological information during the outbreaks of the disease. In this context,molecular biology has made a valuable contribution by greatly reducing diagnosis

times and improving accuracy of results (5). Amongst the molecular techniques, DNA microarrays is a genomic tool presentlyused to measure the expression of many genes simultaneously (6). They are used tostudy altered gene expression and cellular protein profiles in human and animalpathologies (7), microarrays have been employed in the study of complex bacterialpopulations (8), taxonomy (9) and antimicrobial and virulence genes (1,2).Microarray was the chosen method because they have been shown to have higherspecificity and higher sensitivity (10) than other molecular techniques, furthermoremicroarray procedures might enable harmonization of methods because it is easyto standardize, their increased use will enable pattern-recognition processes to beautomated making it a simple robust method (11) applicable in any laboratory.Proper and expedient identification of Brucella sp. in an infection process will lead

to; proper and better management of the disease; informed decisions for theprevention of the disease; proper collection of epidemiological data (12). Amicroarray containing various genes pertinent to the virulence of the targetorganism under study might enable the understanding of the mechanism ofpathogenesis at the molecular level (13) and their genetic evolution process (14).“Signature sequences” were used to identify Brucella sp. and other bacteria in thisstudy, simultaneous testing of the hybridization efficiency of extracted DNA tomultiple sequences on a unique platform or in a single assay enabled fast andaccurate identification of strains with minimal effort. This microarray is a one-stepmethod after growth of organism and does not require any PCR amplification..Asthe efficiency of fluorescent incorporation will increase this method could be useddirectly on field specimens.of Brucella sp,.

Materials and methodsMaterials and methodsThe oligonucleotides were designed by the followingmethods; OligoPicker software (15), extended published PCRprimers and comparison of genomes (16) for positive andnegative controls previously published sequences were used(17). Oligonucleotides were then checked for their selectivitywith BLAST searches in GenBank (18). The resulting unique‘signature sequences’ were analyzed with BLAST (18) forsequence homologies. The sequences were accepted when GC content was between40-60%; less than 75% homology of sequence observed innon-target genes; the calculated ¢T is less than 10-15°C of theTm’s of all the sequences; the non homology between targetsequence and non-target genes is less than 14 contiguousbase pairs; if do not exist palindromic hairpin sequences (19,20, 72, 73). Table 1 reports the organisms identified by themicroarray.Slides were designed so that two independent hybridizations maybe carried out on each slide using independent cover slips. Eachchosen unique sequence was printed four times on Corning Ultra

GAPS slides (Corning Canada, Whitby, Ontario). Slides werespotted as re p o rted in Maynard et al. 2005 (97) at the Micro a rr a yL a b o r a t o ry at the NRC – BRI in Montreal, Canada. Two independent hybridisation were carried out per strainenabling technical replicates (21). DNA was extracted fromB rucella sp with Wi z a rd Genomic DNA Purification Kit(Promega, Milano, Italy). Extracted DNA concentration wasmeasured using the Nanodrop Spectrophotometer (NanodropTechnologies, Celbio Srl., Milan, Italy) and an amount of DNAcorresponding to 300ng to 3 μg was brought to a totalvolume of 21μl by essication (Savant SpeedVac®, ArrayIt, USA)and resuspension in water, this DNA was then labelled withInvitrogen’s Bioprime DNA labelling system (Invitrogen LifeTechnologies, Milano, Italy) to the DNA random primers, 20 μlof a 2.5X solution is boiled for 5 min. and then placed on icefor 5 min., from the kit along with 1 μl of high concentrationKlenow polymerase (40 U/μl) are added to 5 μl of adeoxynucleoside triphosphate mix (1.2mM dATP, 1.2 mMdGTP, 1,2 1.2 mM dTTP, 0,6 mM dCTP in 10mM Tris [pH 8.0]

and 1mM EDTA), to this mix 3 μl of Cy5dCTP or Cy3dCTP(Amersham, Milan, Italy) are added to fluorescently label theDNA. The reaction was then carried out in a water bath in thedark for two hours at 37° C, the reaction is stopped by theaddition of 5 μl of 0.5 M EDTA pH8.0. The labelled DNA wasthen purified by using the Qiagen PCR columns (QiagenS.p.A., Milan, Italy) following the manufacturer’s protocol. The labelling efficiency of the DNA was then measured, theabsorbance of the nucleic acid content of the eluted DNA andabsorbance maximum of the dye was measured using aNanodrop Spectrophotometer and by the application of theBeer-Lambert law the following parameters were calculated(13); labelled DNA, flourescent labelled dye and base to dye ratiowas calculated at the following link (136);h t t p : / / w w w. p a n g l o s s . c o m / s e i d e l / P ro t o c o l s / p e rc e n t _ i n c . h t m l .The percentage of incorporation was between 2% and 8%and the total amount of DNA used per hybridization wasabout 1.5-2.0 µg.An appropriate quantity of labelled purified Cy5™ or Cy3™

t a rgets were transferred to an eppendorf tube and vacuumdried Pre-hybridization of the slide was perf o rmed, slide washybridized with a pre-heated pre-hybridization buff e rcontaining 5X SSC, 0.1%SDS and 1%BSA and incubated at 42°Cfor at least one hour. Slides were prepared for hybridization addinga solution of20μl of hybridisation buffer, 400μl of Dig Ease Buffer (RocheDiagnostics S.p.A., Milano, Italy), 20 μl Bakers tRNA(10mg/ml)(Sigma Aldrich S.p.A., Milan, Italy) and 20 μl ofSonicated Salmon Sperm DNA (10mg/ml) (Sigma AldrichS.p.A., Milan, Italy) mixed to the labelled DNA which hadbeen previously denatured and then kept at 42°C. Microarrayswere hybridized overnight at 42°C in SlideBooster (Advalytix,ABI, Milan, Italy) stringency washes were performed withAdvawash (Advalytix, ABI, Milan, Italy) using 1XSSC,0.02%SDS preheated to 42°C. Microarrays were then scannedon ScanArray® with ScanArray Gx software (Perkin Elmer,Milan, Italy). Data was analyzed with ScanAlyze (22), Clusterand TreeView (22).

ConclusionsConclusionsThe microarray prototype is an effective and rapid diagnostic toolfor classification of B ru c e l l a sp. This prototype re q u i re simprovement but it is presently very useful for interspecies andintraspecies differentiation even if requires further validation andconfirmation of its findings by PCR..The prototype also contains virulence genes, we have not dealt withthis aspect at length in this poster because they were placed in thismicroarray for future trascriptomic applications for investigationsinto the process of pathogenesis of the disease but as may beobserved they also cluster the organisms.The cluster analysis tool developed by Eisen et al. (22) facilitates theapplication of our microarray prototype in the interpretation of thewealth of information generated by it. Eisen’s software proved tobe indispensable for our purposes, but other informatics tools suchas neural networks and wavelet, where profiles of reference strainswill be used as training of data and unknowns, will be classified thisprocess will automate, improve further and offer new solution forMDMs (Microbial Diagnostic Microarray) technology.This tool is an efficient, robust, easily to standardize, one-step method forthe analysis of B rucella sp and could be usefull when applied directly toDNA extracted from biological specimens received in laboratories. Costsfor micro a rray will most probably decrease in the future when itsapplications will be implemented in diagnostic laboratories.

The array pictures of the first hybridizationsmay be observed in Figure 1, the strains seemto have a picture signature positive andnegative control strains give excellent results.Figure 2 describes the layout of the array. Thisa rray contains signature sequenceoligonucleotides for, ,Brucella sp and relativevirulence genes. Initial cluster analysis gave positive results, asmay be observed in Figure 3 the Brucella spare clustered together in both clusters total[A] or selected [C] genes. Replicatehybridisations gave similar results in mostcases, the results were repeatable, signaturesequences characterizing both Buck 19 andRB51, B. abortus Biovar1, Biovar 3 and Biovar9 as reported by Ratushna et al. (24) strainsgave positive results. The microarray gave great resolution for theabove strains, more work have to be donewith Brucella abortus by looking at theindividual genes as may be seen in Figure 3 Fand G , replicates of all biovars and tests onbiovar 3, have not yet been performed, it isessential that repeatability, reproduceabilityand PCR confirm these results, this will bedeterminant in the production of an excellentprototype.

Data analysis and Software for analysisData were analyzed and normalized as follows; the median valueof fluorescent spot intensities after subtraction of localb a c k g round intensity (intensities quantified by ScanAlyzesoftware (22)) for each set of sequences was calculated, themedian of quadruplicate spotted probes was compared to of themedian of negative control spots. For each slide a cut-off for significant hybridization wasestablished by calculating the mean and median of the signal-to-noise fluorescence ratio for both Brucella sp (PM) and. The cut-off was established as being the difference of the signal-to-noisefluorescence ratio of the greater of the mean or median of MMwhere the mean or median of PM must be greater than 1.25 thatof the MM (23).

Fig. 2. (A) Layout of array; (B) Layout of typical subarray gray circlesare oligonucleotides the square disposition is the number of replicatesper oligonucleotide the green circles are positive controls and thefuchsia are negative controls. The positive and negative controls arefound on all subarrays. The first four rows of squares areMycobacterium sp genes and the last five rows are Brucella sp genes.

Fig. 1. The pictures of the hybridizations of the strains indicated may be observed

Fig. 3. A] Cluster of total organisms and total genes; [B] Dendrogram of cluster with similarity of total organisms with total genes on microarray;[C]Cluster of total organisms with selected genes; [D] Cluster of virulence and only Brucella sp; [E] Dendrogram of cluster with similarity ofvirulence and Brucella sp. [F] Selected genes will cluster Brucella abortus, [G] Selected genes will cluster Brucella abortus.

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Brucella abortus biovar 1 train 544 Brucella abortus biovar 2 Brucella abortus biovar 9 Brucella abortus RB51 Brucella melitensis biovar 3 Brucella melitensis B115 Brucella suis biovar 5

Brucella abortus biovar 4 Brucella abortus biovar 5 BUCK 19 Brucella suis biovar 1 Brucella suis biovar 2 Campylobacter coli Campylobacter jejuni ssp jejuni

Brucella abortus biovar 6 Brucella abortus biovar 7 B rucella melitensis biovar 1 strain 16M Brucella melitensis biovar 2 Brucella suis biovar 3 Brucella suis biovar 4 Mycobacterium bovis BCG C o rynebacterium pseudotuberc u l o s i s

Brucella ovis

Agrobacteriumtumefaciens

Campylobacter jejunisubsp. jejuni

Francisella sp. Leptospira interrogans Neospora caninumSalmonella entericasubsp. entericaserovar Dublin

Agrobacteriumrhizogenes

Campylobactermucosalis

Francisella tularensis L. ivanovii Ochrobactrumanthropi

Sarcocystis sp

Brucella abortusbiovar 1 str. 9-941

Chlamydophilaabortus

Francisella tularensissubsp. tularensis

L. monocytogenes typeI, 2, 3

Ochrobactrumanthropi

Stenotrophomonasmaltophilia

Campylobacter coli Coxiella burnetii Francisella tularensissubsp. novicida

L. monocytogenes vir.ass. genes

Pasteurella multocidasubsp multocida Toxoplasma gondii

Campylobacter fetus sfetus E. coli O157:H7

Fusobacteriumnecrophorum sspfunduliforme

L. monocytogenes vir.genes

Phyllobacteriummyrsinacearum

Vibrio cholerae O1biovar eltor

Campylobacter fetussubsp. venerealis E. coli

Fusobacteriumnecrophorum sspnecrophorum

Manheimia haemolytica

Rhizobiumleguminosarum

Vibrio cholerae strainnon01

Campylobacter jejunisubsp. doylei

Ensifer meliloti Leptospira sp Mycoplana dimorphaSalmonella entericasubsp. enterica serovar Abortusovis

Yersiniaenterocolitica O:9

Organisms identified by microarray

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