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. Author manuscript; available in PMC: 2008 Jul 1.
Published in final edited form as: Tuberculosis (Edinb). 2007 Apr 11;87(4):347–359. doi: 10.1016/j.tube.2007.02.004

Differential gene expression between Mycobacterium bovis and Mycobacterium tuberculosis

Germán Rehren a, Shaun Walters b,1, Patricia Fontan b, Issar Smith b, Ana M Zárraga a,*
PMCID: PMC2080781  NIHMSID: NIHMS27134  PMID: 17433778

Summary

The high sequence identity among the Mycobacterium bovis and Mycobacterium tuberculosis genomes contrasts with the physiological differences reported between these pathogens, suggesting that variations in gene expression may be involved. In this study, microarray hybridization was used to compare the total transcriptome of M. bovis and M. tuberculosis, during the exponential phase of growth. Differential expression was detected in 258 genes, representing a 6% of the total genome. Variable genes were grouped according to functional categories. The main variations were found in genes encoding proteins involved in intermediary metabolism and respiration, cell wall processes, and hypothetical proteins. It is noteworthy that, compared to M. tuberculosis, the expression of a higher number of transcriptional regulators were detected in M. bovis. Likewise, in M. tuberculosis we found a higher expression of the PE/PPE genes, some of which code for cell wall related proteins. Also, in both pathogens we detected the expression of a number of genes not annotated in the M. tuberculosis H37Rv or M. bovis 2122 genomes, but annotated in the M. tuberculosis CDC1551 genome.

Our results provide new evidence concerning differences in gene expression between both pathogens, and confirm previous hypotheses inferred from genome comparisons and proteome analysis. This study may shed some new light on our understanding of the mechanisms relating to differences in gene expression and pathogenicity in mycobacteria.

Keywords: Mycobacterium bovis, Mycobacterium tuberculosis, Transcriptome, Gene expression, Microarray

Introduction

Mycobacterium bovis and Mycobacterium tuberculosis are closely related pathogens, responsible for bovine and human tuberculosis, respectively. Bovine tuberculosis is enzootic in most developing countries, causing great economic losses. Lately, this zoonosis has raised in importance within the HIV infected population.1,2 The M. bovis and M. tuberculosis genomes show 99.95% identity at the nucleotide level.3 However, distinct phenotypes, virulence and host tropism differentiate both pathogens.4 Indeed, M. bovis has shown increased virulence upon infection in mice, rabbits, calves and guinea pigs.5,6 Moreover, it causes disease in bovines, humans and a broad range of mammals. In comparison, man is the main natural host of M. tuberculosis.1,4,7,8 The high genome sequence homology and the lack of species-specific genes for M. bovis, suggest that distinctive mechanisms of gene expression might be involved in determining the differences among these bacilli.3 Genome features such as deletions, SNPs and hypervariable regions are important sources for polymorphism, but their contribution needs to be correlated with gene expression studies in order to explain the differences observed. Transcriptional analysis using microarrays has become a useful tool to study whole-genome expression and to identify changes in gene expression in cells exposed to different environmental conditions.9 Using this approach, diversity in gene expression has recently been reported among clinical isolates of M. tuberculosis.10

In this work, we used microarray hybridization to compare the total in vitro transcriptome of M. bovis and M. tuberculosis H37Rv. Our aim was to get a global view on the differences of gene expression among these pathogens as a mean to identify the genetic basis for their distinct phenotypes.

Materials and methods

Bacterial strains and culture conditions

The M. tuberculosis H37Rv (ATCC 27294) and M. bovis Ravenel (TMC 401) strains were used throughout and all cultures were grown under the same conditions. Bacteria were grown in 7H9 broth supplemented with 10% ADS (0.5% bovine serum albumin, fraction V, 0.2% glucose and 0.085% NaCl) and 0.05% Tween 80. For M. tuberculosis, 0.2% glycerol was also added to the media, while for M. bovis the media was supplemented with 0.4% sodium pyruvate. Liquid cultures were maintained at 37°C in plastic bottles in a roller apparatus and optical density (OD540) was registered daily to measure growth.

Isolation of bacterial RNA

To minimize variations in gene expression analysis, all cultures were collected at the same growth phase. To prepare bacterial RNA, procedures previously published were followed.11,12 Bacterial cell pellets were recovered from 30 ml of exponential phase culture (OD540 ∼0.25) by 3 min centrifugation and then quickly frozen on dry ice. Frozen pellets were then resuspended in 1 ml of TRI reagent (Molecular Research Center) and immediately transferred to a 2 ml screw cap microcentrifuge tube containing zirconia beads (0.1mm diameter). Samples were disrupted in a Mini-BeadBeater (BioSpec Products), and the RNA was extracted according to the TRI manufacturer's instructions. To remove residual DNA, samples were treated with Turbo™ DNAse (Ambion) and cleaned up using RNeasy columns (Qiagen). The integrity of all RNA samples was checked by non-denaturing agarose gel electrophoresis, with RNA concentration quantified by spectrophotometry. RNA samples were kept at −80°C until further use.

DNA microarray analysis

The M. tuberculosis microarray chips used in these assays were printed at the Center for Applied Genomics at the Public Health Research Institute. This array consists of 4,295 70-mer oligonucleotides representing 3,924 predicted open reading frames of the M. tuberculosis H37Rv strain, 371 non-redundant probes designed to the M. tuberculosis CDC-1551 strain, and 25 controls. Microarray analyses were performed according to previously described protocols 13 with modifications.14 cDNA was synthesized and fluorescently labeled by a direct procedure. Two micrograms of total RNA extracted from either M. tuberculosis or M. bovis was reverse transcribed in a reaction mix with a final concentration of 0.17 ug/ul random hexamers, 0.96x first strand buffer, 9.6 mM DTT, 0.44 mM dATP, dCTP and dGTP, 0.02 mM dTTP, 0.06mM Cyanine 3 or Cyanine 5 dUTP and 9.4 units Superscript II. The combination of reaction mix and total RNA was incubated for 10 minutes at 25°C followed by 90 minutes at 42°C. The labeled cDNA probes were then purified and concentrated using the MinElute Cleanup kit (Qiagen). The total purified cDNA probe was added to the arrays in a hybridization solution containing a final concentration of 0.5 ug/ul tRNA, 2.0x SSC, 0.25% formamide and 0.1% SDS. For each array, cDNA prepared from the M. tuberculosis RNA was mixed with cDNA from M. bovis. The slides were covered by a flat 22 × 22 mm coverslip and hybridized in sealed hybridization chambers for sixteen hours at 50°C in a water bath.

Microarray data analysis

Microarray slides were scanned using a GenePix 4000A scanner (Axon Instruments). Images were processed and the fluorescent intensity of each spot was quantified using the GenePix Pro 4.0 software. Four independent biological replicates were analyzed for each strain, and one swap-dye experiment was included. Median intensity values were corrected by background subtraction and negative corrected intensities were set to +1.15 Further analysis was performed using GeneSpring 7.2 software (Silicon Genetics). Data was normalized using the locally weighted linear regression (Lowess) method, to remove the fluorescence-intensity dependent, dye-specific effect of low fluorescence intensity spots.16 20% of the data was used to calculate the Lowess fit at each point. Cy5/Cy3 intensity ratios were determined using normalized values and then log transformed. For each gene, the geometric mean was calculated from the intensity ratios of the four replicates and the resulting value was used to determine differences in mRNA abundance between both strains. Genes were classified as differentially expressed if they fulfilled both of the following criteria: a minimum 3-fold regulation difference and a p-value <0.05. Statistical significance of the chosen genes was verified by a t-test with the Benjamini Hochberg false discovery rate correction method17 implemented in GeneSpring.

The data discussed in this publication have been deposited in NCBIs Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) and are accessible through GEO Series accession number GSE6889.

Reverse transcription and real time PCR

RT and PCR primers were designed with the Primer3 web software18 and purchased from IDT (Coralville, IA). Primer sequences used in this study are provided in supplementary Table S1. Reverse transcription was carried out at 60°C, using 100 ng of RNA, 0.3 μM antisense gene-specific primers (including sigA control primer) and the RNA Transcriptor First Strand cDNA Synthesis Kit (Roche), in a final volume of 20 μl, following the manufacturer's instructions. Control reactions, lacking reverse transcriptase, were performed for every RNA sample. Real time PCR reactions were accomplished using a LightCycler instrument (Roche), in a total volume of 10 μl, using 2 μl of diluted cDNA, 0.3 μM gene-specific primers and the LightCycler FastStart DNA Master SYBR Green I kit (Roche). After 10 min at 90°C, the PCR program consisted in 40-45 cycles at 95°C for 6 s, 62°C for 8 s and 72°C for 8 s. Fluorescence was measured at the end of the extension step. Reactions were run in triplicate for each gene and the specificity of the PCR products was verified by gel electrophoresis and melting curve analysis. For every PCR run, a standard curve was performed using serial dilutions of chromosomal DNA and the corresponding gene-specific primer set. These standard curves were used by the LightCycler software to calculate the initial amount of mRNA for each gene tested in the different samples. In order to compare gene expression between M. bovis and H37Rv strain, calculated values for each gene were normalized to the corresponding sample's sigA mRNA value,19 and normalized values were used to calculate the M. bovis/M. tuberculosis gene ratio.11 Ratios from 3 biological replicates were then averaged to give a final fold difference value.

Results and Discussion

Several lines of evidence have supported the fact that although slight differences are found in the genome sequence of M. tuberculosis and M. bovis, the physiology and host range spectrum is different. Variations in transcript abundance, even minor changes, may cause distinctive adaptive responses to changes in environmental conditions. To identify differences in the pattern of gene expression among M. tuberculosis and M. bovis, we used here a chip with all annotated M. tuberculosis genes. The comparative transcriptome profile was determined for both strains, grown to mid-exponential phase.

The results show that out of 4,295 genes that were represented on the chip, 6 % were differentially expressed. Of these genes, 95 exhibited higher expression in M. bovis compared to M. tuberculosis, while 163 genes were more highly expressed in M. tuberculosis compared to M. bovis. The list of differentially regulated genes in M. bovis and M. tuberculosis are shown in Table 1 and Table 2, respectively. The difference in transcript abundance for some of the selected genes was further confirmed by RT-qPCR (Table 3). Variations in transcript abundance were higher in RT-qPCR compared to microarray results, but followed the same pattern. Similar results have been observed in previous reports.20,21

Table 1.

Genes with higher expression level in M. bovis compared with M. tuberculosis H37Rv

Mtb CDS Mb CDS Gene Fold
differencea
p-value RvD
region
Predicted function
Rv0065 Mb0066 14.8 0.00384 Conserved hypothetical protein
Rv0077c Mb0079c 4.6 0.0415 Probable oxidoreductase
Rv0215c Mb0221c fadE3 4.1 0.00384 Probable acyl-coa dehydrogenase
Rv0216 Mb0222 10.8 0.0086 Conserved hypothetical protein
Rv0260c Mb0266c 4.3 0.0133 Posible transcriptional regulatory protein
Rv0448c Mb0456c 11.1 0.0111 Conserved hypothetical protein
Rv0449c Mb0457c 27.5 0.00568 Conserved hypothetical protein
Rv0465c Mb0474c 6 0.0141 Posible transcriptional regulatory protein
Rv0549c Mb0563c 4.3 0.0179 Conserved hypothetical protein
Rv0550c Mb0565c 3.8 0.027 Hypothetical protein
Rv0591 Mb0606 mce2C 9.2 0.0219 Thought to be involved in host cell invasion
Rv0592 Mb0607 mce2Da 8 0.0045 Thought to be involved in host cell invasion
Rv0619 Mb0635 galT 17.3 0.00073 Probable galactose 1-phosphate uridyl transferase
Rv0769 Mb0792 9.7 0.00384 Probable dehydrogenase/reductase
Rv0770 Mb0793 3.4 0.0111 Probable dehydrogenase/reductase
Rv0771 Mb0794 3.7 0.00802 Possible 4-carboxymuconolactone decarboxylase
Rv0782 Mb0804 ptrBb 25.5 0.00384 Probable protease II (oligopeptidase b)
Rv0892 Mb0916 5.5 0.00389 Probable monooxygenase
Rv0928 Mb0951 pstS3 4.5 0.00562 Periplasmic phosphate-binding lipoprotein
Rv0929 Mb0952 pstC2 3 0.0129 Phosphate-transport integral membrane ABC transporter
Rv0930 Mb0953 pstA1 3 0.0049 Phosphate-transport integral membrane ABC transporter
Rv1135c Mb1166c PPE16 7 0.00664 PPE family protein
Rv1421 Mb1456 3.6 0.00523 Conserved hypothetical protein
Rv1493 Mb1530 mutB 3.1 0.0224 Probable methylmalonyl-coa mutase
Rv1588c Mb1614c 3.3 0.0164 Partial REP13E12 repeat protein
Rv1652 Mb1680 argC 4.1 0.0366 Probable n-acetyl-gamma-glutamyl-phoshate reductase
Rv1653 Mb1681 argJ 3.1 0.0147 Probable glutamate n-acetyltransferase
Rv1656 Mb1684 argF 3 0.0152 Probable ornithine carbamoyltransferase
MT1802 Mb1787 mmpL14 27.7 0.00562 2 Probable conserved transmembrane transport protein
Rv1758 Mb1788 cut1 28 0.0289 Probable cutinase
Rv1947 Mb1982 3.3 0.0426 Hypothetical protein
Rv2004c Mb2027c 3.7 0.0266 Conserved hypothetical protein
Rv2005c Mb2028c 3.7 0.0105 Conserved hypothetical protein
MT2081 Mb2048c 20.6 0.0166 1 Conserved hypothetical protein
Rv2025c Mb2050c 5.4 0.00802 Possible conserved membrane protein
Rv2277c Mb2300c 21.3 0.00384 Possible glycerolphosphodiesterase
Rv2386c Mb2407c mbtI 7 0.00476 Putative isochorismate synthase
Rv2421c Mb2444c nadD 3.1 0.0119 Probable nicotinate-nucleotide adenylyltransferase
Rv2431c Mb2457c PE25 3 0.0336 PE family protein
Rv2435c Mb2461c 3.2 0.0134 Probable cyclase
Rv2562 Mb2591 5.8 0.0166 Conserved hypothetical protein
Rv2619c Mb2652c 3.8 0.0255 Conserved hypothetical protein
Rv2620c Mb2653c 10 0.00384 Probable conserved transmembrane protein
Rv2621c Mb2654c 13.1 0.00362 Possible transcriptional regulatory protein
Rv2622 Mb2655 13.4 0.00137 Possible methyltransferase
Rv2623 Mb2656 TB31.7 4.1 0.0105 Conserved hypothetical protein
Rv2629 Mb2662 3.1 0.00384 Conserved hypothetical protein
Rv2779c Mb2801c 3.2 0.0181 Possible transcriptional regulatory protein
Rv2789c Mb2812c fadE21 3.5 0.0206 Probable acyl-coa dehydrogenase
Rv2873 Mb2898 mpb83 30.9 0.00361 Cell surface lipoprotein
Rv2874 Mb2899 dipz 11.5 0.00362 Possible membrane cytochrome biogenesis protein
Rv2875 Mb2900 mpb70 118 0.00384 Major secreted immunogenic protein
Rv2876 Mb2901 5.7 0.0049 Possible conserved transmembrane protein
Rv2917 Mb2941 7.9 0.0086 Conserved hypothetical alanine and arginine rich protein
Rv2930 Mb2955 fadD26 5.8 0.0086 Fatty-acid-coa ligase
Rv2931 Mb2956 ppsA 10.7 0.00384 Phenolpthiocerol synthesis type-I polyketide synthase
Rv2932 Mb2957 ppsB 6.9 0.0166 Phenolpthiocerol synthesis type-I polyketide synthase
Rv2933 Mb2958 ppsC 7.9 0.0049 Phenolpthiocerol synthesis type-I polyketide synthase
Rv2934 Mb2959 ppsD 3.9 0.0166 Phenolpthiocerol synthesis type-I polyketide synthase
Rv2945c Mb2970c lppX 3.3 0.0226 Probable conserved lipoprotein
Rv2955c Mb2979c 4.5 0.00568 Conserved hypothetical protein
Rv2972c Mb2997c 3.8 0.0172 Possible conserved membrane or exported protein
Rv2973c Mb2998c recG 7.3 0.0166 Probable atp-dependent dna helicase
Rv2974c Mb2999c 5.3 0.0119 Conserved hypothetical alanine rich protein
Rv2987c Mb3011c leuD 4.3 0.015 Probable 3-isopropylmalate dehydratase (small subunit)
Rv2988c Mb3012c leuC 3.4 0.0336 Probable 3-isopropylmalate dehydratase (large subunit)
Rv2989 Mb3013 6 0.00568 Probable transcriptional regulatory protein
Rv2998A Mb3023c 3.8 0.00384 Conserved hypothetical protein
Rv3054c Mb3080c 5.4 0.0331 Conserved hypothetical protein
Rv3082c Mb3109c virS 4.2 0.019 Virulence-regulating transcriptional regulator
MT3248 Mb3184c PPE70 7.5 0.0166 PPE family protein
Rv3324c Mb3353c moaC3 13 0.00612 Probable molybdenum cofactor biosynthesis protein C3
MT3427 Mb3355c moaA3 10.3 0.0133 5 Probable molybdenum cofactor biosynthesis protein A
MT3427.1 Mb3356 22.6 0.0119 5 Hypothetical protein
MT3428 Mb3358 embR2 8 0.027 5 Possible transcriptional regulatory protein
Rv3331 Mb3364 sugI 15.5 0.00401 Probable sugar-transport integral membrane protein
Rv3332 Mb3365 nagA 5.2 0.0413 Probable n-acetylglucosamine-6-phosphate deacetylase
Rv3340 Mb3372 metC 3.1 0.015 Probable o-acetylhomoserine sulfhydrylase
Rv3397c Mb3430c phyA 3.4 0.0219 Probable phytoene synthase
Rv3398c Mb3431c idsA 4.4 0.0086 Probable geranylgeranyl pyrophosphate synthetase
Rv3453 Mb3483 6.2 0.0184 Possible conserved transmembrane protein
Rv3454 Mb3483 3.2 0.0086 Probable conserved integral membrane protein
Rv3466 Mb3495 3.5 0.0086 Conserved hypothetical protein
Rv3530c Mb3560c 3.9 0.0224 Possible oxidoreductase
Rv3651 Mb3675 3.2 0.0131 Conserved hypothetical protein
Rv3697c Mb3723c 3.1 0.00641 Possible conserved membrane protein
Rv3862c Mb3892c whiB6 30.4 0.00663 WhiB-like possible transcriptional regulatory protein
Rv3897c Mb3927c 5.7 0.00523 Conserved hypothetical protein
MT0573.1 3.5 0.0105 Hypothetical protein
MT0915.1 6.3 0.00568 Hypothetical protein
MT1812 55.5 0.00384 Hypothetical protein
MT1813 62.5 0.0266 Hypothetical protein
MT2083 5.1 0.00568 Hypothetical protein
MT2941 42.6 0.00861 Hypothetical protein
MT3718.1 6.6 0.0179 Hypothetical protein
a

Fold differences are the average of normalized intensity ratios from 4 microarray experiments using 4 independent biological replicates.

Table 2.

Genes with higher expression level in M. tuberculosis H37Rv compared with M. bovis

Mtb
CDC
Gene Fold
differencea
p-value RD
region
Predicted function
Rv0032 bioF2 3.7 0.0383 Possible 8-amino-7-oxononanoate synthase
Rv0040c mtc28 3.1 0.0365 Secreted proline rich protein
Rv0112 gca 3.1 0.0146 GDP-D-mannose dehydratase
Rv0166 fadD5 3.3 0.0157 Fatty-acid-coa ligase
Rv0167 yrbe1a 3.6 0.0233 Conserved hypothetical integral membrane protein
Rv0221 42.6 0.00818 Conserved hypothetical protein
Rv0222 echA1 10.4 0.0235 10 Probable enoyl-coa hydratase
Rv0223c 12.9 0.0227 Probable aldehyde dehydrogenase
Rv0232 4 0.0196 Probable transcriptional regulatory protein (tetr/acrr-family)
Rv0276 40.5 0.00818 Conserved hypothetical protein
Rv0520 7.4 0.0487 Possible methyltransferase/methylase
Rv0544c 6.1 0.00659 Possible Conserved transmembrane protein
Rv0794c 4 0.0487 Probable oxidoreductase
Rv0796 6.5 0.00268 Putative transposase for insertion sequence IS6110
Rv0888 4.7 0.0108 Probable exported protein
Rv0931c pknD 10.6 0.00659 Transmembrane serine/threonine-protein kinase
Rv0934 pstS1 7.3 0.0108 Periplasmic phosphate-binding lipoprotein
Rv0935 pstC1 4.3 0.016 Phosphate-transport integral membrane ABC transporter
Rv0936 pstA2 4.2 0.032 Phosphate-transport integral membrane ABC transporter
Rv1038c esxJ 3.2 0.00707 Esat-6 like protein
Rv1076 lipU 5.2 0.0235 Possible lipase
Rv1130 28.1 0.00659 Conserved hypothetical protein
Rv1131 gltA1 28.4 0.00899 Probable citrate synthase
Rv1172c PE12 9.1 0.00659 PE family protein
Rv1181 pks4 3.9 0.00707 Probable polyketide beta-ketoacyl synthase
Rv1182 papA3 5.4 0.0146 Probable polyketide synthase associated protein
Rv1183 mmpL10 4.3 0.0121 Probable Conserved transmembrane transport protein
Rv1184c 7.6 0.00268 Possible exported protein
Rv1195 PE13 7.7 0.00818 PE family protein
Rv1196 PPE18 14.8 0.00268 PPE family protein
Rv1197 esxK 3.2 0.00268 Esat-6 like protein
Rv1200 3.1 0.0235 Probable Conserved integral membrane transport protein
Rv1220c 3 0.0105 Probable methyltransferase
Rv1257c 28.4 0.0183 13 Probable oxidoreductase
Rv1361c PPE19 11.7 0.00659 PPE family protein
Rv1369c 4.2 0.0156 Probable transposase
Rv1370c 7.9 0.0227 Putative transposase for insertion sequence IS6110
Rv1386 PE15 6 0.0108 PE family protein
Rv1387 PPE20 8.5 0.00966 PPE family protein
Rv1396c PE PGRS25 6.2 0.0356 PE PGRS family protein
Rv1397c 7.1 0.0369 Conserved hypothetical protein
Rv1398c 5.6 0.0248 Conserved hypothetical protein
Rv1497 lipL 3.2 0.0477 Probable esterase
Rv1506c 15 0.0149 4 hypothetical protein
Rv1507c 31.9 0.0217 4 Conserved hypothetical protein
Rv1508c 44.4 0.0252 4 Probable membrane protein
Rv1509 5.6 0.0486 4 hypothetical protein
Rv1510 4.3 0.0365 4 Probable Conserved membrane protein
Rv1511 gmdA 40.5 0.016 4 GDP-D-mannose dehydratase
Rv1512 epiA 22.5 0.0393 4 Probable nucleotide-sugar epimerase
Rv1513 8.7 0.00351 4 Conserved hypothetical protein
Rv1515c 69.4 0.00739 4 Conserved hypothetical protein
Rv1516c 15.2 0.0235 4 Probable sugar transferase
Rv1535 3.4 0.0208 Hypothetical protein
Rv1563c treY 6.7 0.0435 Maltooligosyltrehalose synthase
Rv1611 trpC 6 0.00659 Probable indole-3-glycerol phosphate synthase
Rv1612 trpB 6.1 0.00268 Probable tryptophan synthase, beta subunit
Rv1613 trpA 7 0.0183 Probable tryptophan synthase, alpha subunit
Rv1614 lgt 11.1 0.00651 Possible prolipoprotein diacylglyceryl transferases
Rv1639c 5.4 0.00268 Conserved hypothetical membrane protein
Rv1646 PE17 3.2 0.0291 PE family protein
Rv1651c PE PGRS30 16.2 0.0421 PE PGRS family protein
Rv1730c 5 0.00268 Possible Penicillin-binding protein
Rv1757c 6.9 0.016 Putative transposase for insertion sequence IS6110
Rv1763 7.1 0.0162 Putative transposase for insertion sequence IS6110
Rv1764 5.4 0.0116 Putative transposase for insertion sequence IS6110
Rv1792 esxM 3.2 0.00707 Esat-6 like protein
Rv1809 PPE33 11.2 0.00659 PPE family protein
Rv1872c lldD2 4.5 0.0296 Possible l-lactate dehydrogenase
Rv1884c rpfC 5.5 0.0288 Probable resuscitation-promoting factor
Rv1925 fadD31 3.1 0.00984 Possible dehydrogenase
Rv1965 yrbE3B 14.1 0.0217 7 Conserved hypothetical integral membrane protein
Rv1976c 29.3 0.0176 7 Conserved hypothetical protein
Rv1977 6.9 0.0452 7 Conserved hypothetical protein
Rv2071c cobM 3.7 0.00765 Precorrin-4 c11-methyltransferase
Rv2073c 4.8 0.032 9 Probable shortchain dehydrogenase
Rv2074 83.3 0.00268 9 Conserved hypothetical protein
Rv2077c 13 0.0108 Possible Conserved transmembrane protein
Rv2105 8 0.0157 Putative transposase for insertion sequence IS6110
Rv2106 5.2 0.016 Probable transposase for insertion sequence IS6110
Rv2137c 5.7 0.0157 Conserved hypothetical protein
Rv2159c 24.3 0.00965 Conserved hypothetical protein
Rv2160c 44.4 0.0121 Conserved hypothetical protein (putative tetr family)
Rv2161c 9.8 0.00268 Conserved hypothetical protein
Rv2162c PE PGRS38 17.9 0.00659 PE PGRS family protein
Rv2167c 4.3 0.00268 Probable transposase
Rv2168c 9.2 0.0156 Putative transposase for insertion sequence IS6110
Rv2187 fadD15 5.6 0.016 Probable long-chain-fatty-acid-coa ligase
Rv2278 9.9 0.0103 Putative transposase for insertion sequence IS6110
Rv2279 6.6 0.0121 Probable transposase
Rv2346c esxO 3.1 0.0121 5 Putative Esat-6 like protein
Rv2347c esxP 3.4 0.00268 5 Putative Esat-6 like protein
Rv2348c 87.7 0.00268 5 hypothetical protein
Rv2349c plcC 67.6 0.00659 5 Probable phospholipase C3
Rv2350c plcB 64.5 0.00966 5 Probable membrane-associated phospholipase C2
Rv2351c plcA 19 0.016 5 Probable membrane-associated phospholipase C
Rv2352c PPE38 69.4 0.00565 5 PPE family protein
Rv2354 9.5 0.016 Probable transposase for insertion sequence IS6110
Rv2355 4.2 0.0217 Probable transposase
Rv2395 3.9 0.00588 Probable Conserved integral membrane protein
Rv2479c 4 0.0266 Probable transposase
Rv2480c 6.5 0.0208 Possible transposase for insertion sequence IS6110
Rv2490c PEPGRS43 3.7 0.00707 PE PGRS family protein
Rv2600 3.8 0.0268 Probable Conserved integral membrane protein
Rv2648 9.6 0.0126 11 Probable transposase for insertion sequence IS6110
Rv2649 6.7 0.0162 11 Probable transposase for insertion sequence IS6110
Rv2651c 6 0.0108 11 Possible phirv2 prophage protease
Rv2657c 29.1 0.0188 11 Probable phirv2 prophage protein
Rv2814c 4.8 0.0176 Probable transposase
Rv2815c 8.6 0.0108 Probable transposase for insertion sequence IS6110
Rv2822c 3.7 0.0216 Hypothetical protein
Rv2823c 13.6 0.0472 Conserved hypothetical protein
Rv2877c merT 54.1 0.00659 Probable Conserved integral membrane protein
Rv3061c fadE22 3.1 0.0236 Probable acyl-coa dehydrogenase
Rv3083 5.3 0.0121 Probable monooxygenase
Rv3084 lipR 3.6 0.00966 Probable acetyl-hydrolase/esterase
Rv3086 adhD 3.9 0.0299 Aldehyde reductase
Rv3088 3.7 0.0277 Conserved hypothetical protein
Rv3093c 6.6 0.0176 Hypothetical oxidoreductase
Rv3094c 10.9 0.0176 Conserved hypothetical protein
Rv3136 PPE51 47.2 0.00707 PPE family protein
Rv3184 10.4 0.00707 Probable transposase for insertion sequence IS6110
Rv3185 38.5 0.032 Probable transposase
Rv3186 10.4 0.00818 Probable transposase for insertion sequence IS6110
Rv3187 5.6 0.0108 Probable transposase
Rv3325 6.5 0.024 Probable transposase for insertion sequence IS6110
Rv3326 7.4 0.00872 Probable transposase
Rv3354 4.2 0.00707 Conserved hypothetical protein
Rv3380c 5 0.0162 Probable transposase
Rv3381c 8.5 0.0234 Probable transposase for insertion sequence IS6110
Rv3390 lpqD 3.1 0.0121 Probable Conserved lipoprotein
Rv3407 15.9 0.00818 Conserved hypothetical protein
Rv3408 13 0.00659 Conserved hypothetical protein
Rv3426 PPE58 30.5 0.0272 6 PPE family protein
Rv3429 PPE 45.7 0.00659 PPE family protein
Rv3474 11 0.016 Possible transposase for insertion sequence IS6110
Rv3475 4.4 0.0133 Possible transposase for insertion sequence IS6110
Rv3477 PE31 20.4 0.00659 PE family protein
Rv3478 PPE60 16.6 0.00268 PPE family protein
Rv3479 11.2 0.0235 Possible transmembrane protein
Rv3487c lipF 12.9 0.00965 Probable esterase/lipase
Rv3618 65.8 0.00659 8 Possible monooxygenase
Rv3620c esxW 3.9 0.0108 8 Putative Esat-6 like protein
Rv3623 lpqG 75.8 0.00659 Probable Conserved lipoprotein
Rv3633 3 0.0104 Conserved hypothetical protein
Rv3726 7.2 0.00818 Possible dehydrogenase
Rv3749c 5.2 0.0171 Conserved hypothetical protein
Rv3750c 9.3 0.00899 Possible excisionase
Rv3760 3.2 0.0255 Possible Conserved membrane protein
Rv3822 4.4 0.016 No description
Rv3823c mmpL8 4.2 0.0291 Probable Conserved integral membrane transport protein
Rv3824c papA1 10 0.0119 Probable polyketide synthase associated protein
Rv3825c pks2 11.9 0.0116 Probable polyketide synthase
MT0291.3 3.7 0.0104 Hypothetical protein
MT1178 3.9 0.0176 Hypothetical protein
MT2420 17.7 0.0116 Conserved hypothetical protein
MT2421 6 0.0237 Conserved hypothetical protein
MT2466 6.8 0.00659 Hypothetical protein
MT2467 3.6 0.0149 Hypothetical protein
MT2880.1 3.8 0.0267 Hypothetical protein
MT3580.2 22.2 0.00659 Hypothetical protein
MT3846 25.2 0.0307 Hypothetical protein
MT4026.1 8.9 0.00659 Hypothetical protein
a

Fold differences are the average of normalized intensity ratios from 4 microarray experiments using 4 biological replicates.

Table 3.

Validation of microarray results by RT-qPCR

CDS Gene Fold differencea
M. bovis/M. tuberculosis
Mb0606 mce2C 16.2
Mb0607 mce2D 23
Mb2898 mpb83 38.8
Mb2900 mpb70 166.9
Mb2955 fadD26 3.4
Mb2956 ppsA 7.1
Mb2957 ppsB 3.6
Mb2958 ppsC 22
Mb2959 ppsD 28.6
Mb3358 embR2 173.3b
Mb3450 WhiB3 4.5
Mb3706c WhiB4 3.1
Mb3892c WhiB6 77.4
a

Fold differences are averaged ratios from 3 biological replicates. Each ratio was calculated between the numbers of cDNA copies for each gene in both strains, normalized to sigA.

b

The embR2 gene is not present in the M. tuberculosis H37Rv genome, therefore, the value represent the absolute number of cDNA copies detected in M. bovis.

Differentially regulated genes were grouped according to functional categories as described in TubercuList and BoviList (Table 4). The highest difference in gene expression was found in genes related to general metabolism, insertion sequences, hypothetical proteins and cell wall proteins. A significant proportion of genes coding for proteins associated with metabolic processes were identified for both pathogens. Using the Kyoto Encyclopedia of Genes and Genomes (KEGG) 22 to search for metabolic pathways assigned to these genes, we found that some of the differences observed within this category corresponded to genes encoding proteins related to amino acid, steroid and sugar metabolism. With the aim of support successful growth, the culture media was supplemented with different carbon sources. Keeping in consideration that this may have an effect on the expression of some genes, we particularly looked for variations on genes that are likely to be affected, such as the key glycolytic enzymes glpK, pykA and pdhA. Our results showed no significant differences using the 3-fold cut-off. On the other hand, Tween 80 was also added to both culture media. This oleic acid ester can be used as a carbon source in vitro by mycobacteria, and it has also been shown that fatty acids are the primary carbon source in vivo. 23 Therefore, taking together this data, we consider that although different carbon sources may influence gene expression to some extent, the results presented in this paper are representative of the in vitro differences on gene expression between M. bovis and M. tuberculosis.

Table 4.

Distribution of differentially expressed genes according to functional categories

Functional categorya M. bovis M. tuberculosis
n % n %
Cell wall and cell processes 17 17.9 31 19
Conserved hypotheticals 19 20 22 13.5
Conserved hypotheticals with an orthologue in M. bovis/M. tuberculosis 4 4.2 2 1.2
Information pathways 1 1.1 - -
Insertion seqs and phages 2 2.1 33 20.2
Intermediary metabolism and respiration 22 23.2 30 18.4
Lipid metabolism 10 10.5 8 4.9
PE/PPE 3 3.2 18 11
Regulatory proteins 7 7.4 3 1.8
Unknown - - 3 1.8
Virulence, detoxification, adaptation 3 3.2 3 1.8
Hypothetical proteins CDC1551b 7 7.4 10 6.1

Total 95 100 163 100
a

Genes were grouped according to functional classifications as annotated in TubercuList.

b

ORFs annotated in the M. tuberculosis CDC1551 genome.

Interestingly, 20 % of the differentially expressed genes code for hypothetical proteins in M. bovis compared to 13.5% in M. tuberculosis. These results point to the need of assigning a function to these proteins, as they may be involved in determining the physiological differences described for both bacilli.

Within the category of cell wall proteins, 18 genes of the PE/PPE family were found to be higher expressed in M. tuberculosis compared to three genes identified in M. bovis. These genes code for surface exposed proteins involved in host-pathogen interactions.24-26 In addition, six ESAT6-like genes showed higher expression in M. tuberculosis whereas, in M. bovis, no increased expression of ESAT-6 genes was detected. Similar results were obtained in a previous report on proteome analysis that showed a differential pattern of expression for Rv2346c (esxO) and Rv3620c (esxW) between M. bovis (BCG) and M. tuberculosis.27 The ESAT6-like proteins have been a focus of attention as they are highly immunogenic, secreted proteins capable of inducing a strong T cell response in the host.28,29 The observed polymorphism in the expression pattern of genes encoding cell wall and secreted proteins correlates with the variation in their sequences and could be an important source of antigenic diversity.

The major difference in the secretome of both bacilli is the elevated expression in M. bovis of the two serodominant antigens MPB70 and MPB83.30 Behr and colleagues have recently reported that in both bacilli the mpb70/mpb83 genes are under the positive control of sigK. Lately, a mutation in the gene encoding anti-SigK has been shown to be responsible for the high level of expression of MPB70/MPB83 in M. bovis.31,32 Accordingly, in our array analysis mpb70 showed the highest fold difference value. In addition, a higher expression was also found in M. bovis for the gene mpb83 and the neighboring genes dipZ and Mb2901. The orthologous genes in M. tuberculosis have been described as part of a putative operon.33 Recent data showed that these genes are members of the SigK-RskA regulon.32 Interestingly, although the expression of mpb70 and mpb83 is low in M. tuberculosis, it greatly increases upon macrophage infection,32,34 suggesting an important in vivo function.

A distinctive pattern of expression was also observed for the genes encoding for the phosphate-specific transport (Pst) system. This system comprises a periplasmic phosphate-binding protein (PstS), two transmembrane channel-forming proteins (PstA and PstC) and a cytoplasmic ATP binding protein (PstB) that probably interacts with PstA-PstC. The cluster of genes encoding for these proteins is formed by three putative operons: pstS3/pstC2/pstA1, pstS2/pknD and pstB/pstS1/pstC1/pstA2.35,36 Interestingly, we observed a higher expression of the pstS1/pstC1/pstA2 operon in M. tuberculosis, whereas the pstS3/pstC2/pstA1 genes were increased in M. bovis. Another gene highly expressed in M. tuberculosis, pknD, is a pseudogene in M. bovis, thought to be involved in phosphate transport regulation.37 Thus, these results suggest the use of different mechanisms controlling the transport of phosphate in each bacteria.

The family of genes involved in lipid metabolism and cell wall composition are of particular relevance as their proteins have been related to M. tuberculosis pathogenesis. In M. bovis, a higher expression was found for fadD26 and the ppsA-D genes, which codes for fatty-acid-coA ligase and polyketide synthases, respectively. These enzymes are involved in phtiocerol dimycocerosate (PDIM) and phenolphtiocerol glycolipids (PGLs) biosynthesis.38,39 PGLs are not produced by most strains of M. tuberculosis, includin H37Rv and CDC1551 strains, due to a frameshift mutation in the pks1 gene.40 Noteworthy, some strains of M. tuberculosis that produce PGLs display a hypervirulent phenotype,41,42 thus, supporting the role of these lipids in mycobacteria pathogenesis. Moreover, fadD26 and ppsA-E genes have been associated with virulence by signature-tagged transposon mutagenesis and bioinformatics analyses.43,44 We also detected an increased expression in M. tuberculosis of two clusters of genes with similar organization: pks4/papA3/mmpL10 and mmpL8/papA1/pks2. The pks2 and mmpL8 genes codes for a polyketide synthase and a lipid transporter, respectively. Both genes are required for the biosynthesis and transport of SL-1, a sulfolipid found exclusively in M. tuberculosis and thought to be implicated in host-pathogen interactions.45,46

Special attention was given to transcriptional regulators as they play a crucial role in the survival of the mycobacteria. Within this group, we observed higher expression for the M. tuberculosis Rv2160c and Rv0232 genes, which code for putative transcriptional regulators of the TetR/AcrR-family. In contrast, seven transcriptional regulatory genes were differentially expressed in M. bovis. Among these, whiB6 exhibited the highest degree of difference (30.5-fold). This gene is markedly up-regulated in M. tuberculosis cultured under SDS, ethanol, heat-shock or oxidative stress conditions.47 Due to the high expression observed for whiB6 and keeping in mind that minor changes in the expression of transcriptional regulators may cause significant changes to the phenotype, we searched for the other members of the whiB family. The data showed that in M. bovis, whiB3 and whiB4 expression were close to the cut-off level (2.7 and 2.8 fold difference, respectively). Whereas, in M. tuberculosis, a similar result was observed for whiB1 (2.6 fold difference). These results support the view that differential gene regulation might contribute to the physiological differences observed between these pathogens.

The presence of several deletions in one genome relative to the others have been proposed as key features for evolution in members of the M. tuberculosis complex.4,48 We detected the expression of 31 genes annotated in the RD 4, 5, 6, 7, 8, 9, 10, 11 and 13 regions, present in M. tuberculosis but deleted in the M. bovis genome. These groups of genes include potential candidates for virulence factors and phenotype variation such as phospholipase C, prophages, ESAT-6 and PE family of proteins. In comparison, the expression of five genes in the RvD regions 1, 2 and 5, were detected in M. bovis. These genes code for a trans-membrane transporter protein, two hypothetical proteins, a molybdenum cofactor biosynthesis protein and a putative transcriptional regulator. Further research is needed to assess the role of the deleted regions in the physiology of the pathogen. So far, only two deletions have been attributed function across the M. tuberculosis complex; RD1 plays a key role in the attenuation of BCG,49 while Wilkinson and colleagues recently described loss of RD750 as being involved in host interaction of the EAI clade of M. tuberculosis.50

An unexpected result was the finding of expression for some genes annotated in the M. tuberculosis CDC1551 genome whose annotation was missing from the M. bovis or M. tuberculosis H37Rv genomes. These genes hybridized to a set of probes designed for CDC1551 open reading frames. BLAST analysis of the probes sequences showed no significant identity with the annotated coding sequences of M. bovis and M. tuberculosis H37Rv genomes. Similar results were previously found at the proteome level by analysis of H37Rv supernatant proteins.27 One of the identified genes with higher expression in M. bovis is MT2941. This gene is located between mpb83 and dipZ, which suggest it might be co-transcribed as part of the mpb83/Mb2901 region. A previous report has shown that when comparing CDC1551 and H37Rv strain, important differences where found in gene prediction due to sequence polymorphism.51 In this respect, we detected a high expression in M. bovis of MT1812, a gene absent in M. tuberculosis H37Rv and non-predicted in M. bovis 2122. Although the genes detected in our study were not included in the re-annotation of the M. tuberculosis H37Rv genome,52 the data presented here suggests that gene prediction approaches used in the annotation of the M. tuberculosis H37Rv and M. bovis 2122 genomes have overlooked some coding sequences and hence, their annotation needs to be updated.

A 15 % variation in gene expression among M. tuberculosis clinical isolates10 has been previously reported. Due to differences in the experimental approach, it is not feasible to directly compare that report with our data. However, a similar tendency in the distribution pattern of differentially expressed genes can be depicted across functional categories.

The transcriptional analysis presented in this work showed a good correlation with previously reported differences at the proteome level and with differences predicted by comparative genomics, which supports the validity of our study. Mutational studies will help to understand the particular contribution of variable genes in the mechanisms underlying the differences between both pathogens.

Supplementary Material

01

Acknowledgments

We would like to thank Alejandro Araya (C.N.R.S., Bordeaux Cedex, France) for his helpful comments and review of the manuscript. We also thank Eugenie Dubnau (TB Center, P.H.R.I) for valuable discussions and Saleena Ghanny (CAG, P.H.R.I), for her advice with microarray processing. This work was funded by FONDEF grant D02I1111 (awarded to A.M.Z.) and NIH grant HL068513 (awarded to I.S.). G.R. was supported by MECESUP AUS0006 fellowship and DID-UACH grant D2004-08.

Footnotes

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