Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Quantification of global transcription patterns in prokaryotes using spotted microarrays

ABSTRACT: We describe an analysis, applicable to any spotted microarray dataset produced using genomic DNA as a reference, which quantifies prokaryotic levels of mRNA on a genome-wide scale. Applying this to Mycobacterium tuberculosis, we validate the technique, show a correlation between level of expression and biological importance, define the complement of invariant genes and analyse absolute levels of expression by functional class to develop ways of understanding an organism's biology without comparison to another growth condition. Data is also available from http://bugs.sgul.ac.uk/E-BUGS-60

ORGANISM(S): Mycobacterium bovis

SUBMITTER: Mike Withers

PROVIDER: E-BUGS-60 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Quantification of global transcription patterns in prokaryotes using spotted microarrays.

Sidders Ben B Withers Mike M Kendall Sharon L SL Bacon Joanna J Waddell Simon J SJ Hinds Jason J Golby Paul P Movahedzadeh Farahnaz F Cox Robert A RA Frita Rosangela R Ten Bokum Annemieke M C AM Wernisch Lorenz L Stoker Neil G NG

Genome biology 20070101 12

We describe an analysis, applicable to any spotted microarray dataset produced using genomic DNA as a reference, that quantifies prokaryotic levels of mRNA on a genome-wide scale. Applying this to Mycobacterium tuberculosis, we validate the technique, show a correlation between level of expression and biological importance, define the complement of invariant genes and analyze absolute levels of expression by functional class to develop ways of understanding an organism's biology without comparis ...[more]

PMID: 18078514

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Project description:Background. The Beijing family of Mycobacterium tuberculosis is dominant in countries in East Asia. Genomic polymorphisms are a source of diversity within the M.tuberculosis genome and may account for the variation of virulence among M.tuberculosis isolates. To date there are no studies that have examined the genomic composition of M.tuberculosis isolates from the high TB-burden country, Myanmar. Methodology/Principle findings. Twenty-two M.tuberculosis isolates from Myanmar were screened on whole-genome arrays containing genes from M.tuberculosis H37Rv, M.tuberculosis CDC1551 and M.bovis AF22197. Screening identified 198 deletions or extra regions in the clinical isolates compared to H37Rv. Twenty-two regions differentiated between Beijing and non-Beijing isolates and were verified by PCR on an additional 40 isolates. Six regions (Rv0071-0074 [RD105], Rv1572-1576c [RD149], Rv1585c-1587c[RD149], MT1798-Rv1755c [RD152], Rv1761c [RD152] and Rv0279c) were deleted in Beijing isolates, of which 4 (Rv1572-1576c, Rv1585c-1587c, MT1798-Rv1755c and Rv1761c) were variably deleted among ST42 isolates, indicating a closer relationship between the Beijing and ST42 lineages. The TbD1 region, Mb1582-Mb1583 was deleted in Beijing and ST42 isolates. One M.bovis gene of unknown function, Mb3184c was present in all isolates, except 11 of 13 ST42 isolates. The CDC1551 gene, MT1360 coding for a putative adenylate cyclase, was present in all Beijing and ST42 isolates (except 1). The pks15/1 gene, coding for a putative virulence factor, was intact in all Beijing and non-Beijing isolates, except in ST42 and ST53 isolates. Conclusion. This study describes previously unreported deletions/extra regions in Beijing and non-Beijing M.tuberculosis isolates. The modern and highly frequent ST42 lineage showed a closer relationship to the hypervirulent Beijing lineage than to the ancient non-Beijing lineages. The pks15/1 gene was disrupted only in modern non-Beijing isolates. This is the first report of an in-depth analysis on the genomic diversity of M.tuberculosis isolates from Myanmar. Data is also available from http://bugs.sgul.ac.uk/E-BUGS-66

Project description:A novel ArsR-SmtB family transcriptional repressor, KmtR, has been characterised from mycobacteria. Mutants of M. tuberculosis lacking kmtR show elevated expression of Rv2025c encoding a deduced CDF-family metal-exporter. KmtR-dependent repression of the cdf and kmtR operator-promoters was alleviated by nickel and cobalt in minimal medium. Electrophoretic mobility shift assays (EMSA) and fluorescence anisotropy (FA) show binding of purified KmtR to nucleotide sequences containing a region of dyad symmetry from the cdf and kmtR operator-promoters. A relatively large deltar(obs) in FA implies formation of high order apo-KmtR(n)-DNA and multiple complexes were detected by EMSA. Incubation of KmtR with cobalt inhibits DNA-complex assembly and metal-protein binding was confirmed by competition against 4-(2-pyridylazo)-resorcinol. KmtR is the second, to NmtR, characterised ArsR-SmtB sensor of nickel and cobalt from M. tuberculosis suggesting special significance for these ions in this pathogen. KmtR-dependent expression is elevated in complete medium with no increase in response to metals, while NmtR retains a response to nickel and cobalt under these conditions. Mixing equimolar apo-KmtR and apo-NmtR with 0.8 equivalents of nickel or cobalt gave nickel- and cobalt-dependent difference emission spectra similar to nickel(0.8)-KmtR and cobalt(0.8)-KmtR, respectively. Thus, KmtR has tighter affinities for nickel and cobalt than NmtR consistent with basal levels of these metals being sensed by KmtR but not NmtR in complete medium. More than a thousand genes encoding ArsR-SmtB related proteins are listed in databases and a proportion can be predicted to detect metals through known allosteric sites. KmtR has none of the previously defined sites. Substitution of His(88), Glu(101), His(102), His(110) or His(111) with Gln generated KmtR-variants that repress the cdf and kmtR operator-promoters even in elevated nickel and cobalt, revealing a new sensory site. Importantly, ArsR-SmtB sequence groupings do not correspond with the different sensory-motifs revealing that only the latter should be used to predict metal-sensing. Data is also available from http://bugs.sgul.ac.uk/E-BUGS-49

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Quantification of global transcription patterns in prokaryotes using spotted microarrays

Publications

Quantification of global transcription patterns in prokaryotes using spotted microarrays.

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