Project description:We investigated the effects of air exposure on Desulfovibrio vulgaris Hildenborough using microarrays. Keywords: stress response, time course
Project description:We investigated the effects of low level oxygen on Desulfovibrio vulgaris Hildenborough using microarrays. Keywords: time course, stress response
Project description:Investigating the role of carbon monoxide and a CO sensor protein CooA in the physiology of Desulfovibrio vulgaris Hildenborough using whole genome expression analysis
Project description:We investigated the effects of air exposure on Desulfovibrio vulgaris Hildenborough using microarrays. Keywords: stress response, time course Comparison of cells treated with air to untreated cells at 0,10,30,120,240 min.
Project description:We investigated the effects of low level oxygen on Desulfovibrio vulgaris Hildenborough using microarrays. Keywords: time course, stress response Comparison of cells treated with 1000 ppm oxygen to untreated cells at 60,120,240 min.
Project description:We used high-resolution tiling microarrays and 5' RNA sequencing to identify transcripts in Desulfovibrio vulgaris Hildenborough, a model sulfate-reducing bacterium. We identified the first nucleotide position for 1,124 transcripts, including 54 proteins with leaderless transcripts and another 72 genes for which a major transcript initiates within the upstream protein-coding gene, which confounds measurements of the upstream gene's expression. Sequence analysis of these promoters showed that D. vulgaris prefers -10 and -35 boxes different from those preferred by Escherichia coli. A total of 549 transcripts ended at intrinsic (rho-independent) terminators, but most of the other transcripts seemed to have variable ends. We found low-level antisense expression of most genes, and the 5' ends of these transcripts mapped to promoter-like sequences. Because antisense expression was reduced for highly expressed genes, we suspect that elongation of nonspecific antisense transcripts is suppressed by transcription of the sense strand. Finally, we combined the transcript results with comparative analysis and proteomics data to make 505 revisions to the original annotation of 3,531 proteins: we removed 255 (7.5%) proteins, changed 123 (3.6%) start codons, and added 127 (3.7%) proteins that had been missed. Tiling data had higher coverage than shotgun proteomics and hence led to most of the corrections, but many errors probably remain. Our data are available at http://genomics.lbl.gov/supplemental/DvHtranscripts2011/.