Identification of Small RNAs in Desulfovibrio vulgaris Hildenborough

Burns, Andrew ; Joachimiak, Marcin ; Deutschbauer, Adam ; Arkin, Adam ; Bender, Kelly

关键词: 59;    54;    ALIGNMENT;    DESULFOVIBRIO;    GENE REGULATION;    NITRATES;    NUCLEOTIDES;    REMOVAL;    RNA;    URANIUM Desulfovibrio vulgaris regulation;    uranium reduction;   

DOI  :  10.2172/985922
RP-ID  :  LBNL-3742E-Poster
PID  :  OSTI ID: 985922
Others  :  TRN: US1006345

美国|英语

来源: SciTech Connect

【 摘 要 】

Desulfovibrio vulgaris is an anaerobic sulfate-reducing bacterium capable of facilitating the removal of toxic metals such as uranium from contaminated sites via reduction. As such, it is essential to understand the intricate regulatory cascades involved in how D. vulgaris and its relatives respond to stressors in such sites. One approach is the identification and analysis of small non-coding RNAs (sRNAs); molecules ranging in size from 20-200 nucleotides that predominantly affect gene regulation by binding to complementary mRNA in an anti-sense fashion and therefore provide an immediate regulatory response. To identify sRNAs in D. vulgaris, a bacterium that does not possess an annotated hfq gene, RNA was pooled from stationary and exponential phases, nitrate exposure, and biofilm conditions. The subsequent RNA was size fractionated, modified, and converted to cDNA for high throughput transcriptomic deep sequencing. A computational approach to identify sRNAs via the alignment of seven separate Desulfovibrio genomes was also performed. From the deep sequencing analysis, 2,296 reads between 20 and 250 nt were identified with expression above genome background. Analysis of those reads limited the number of candidates to ~;;87 intergenic, while ~;;140 appeared to be antisense to annotated open reading frames (ORFs). Further BLAST analysis of the intergenic candidates and other Desulfovibrio genomes indicated that eight candidates were likely portions of ORFs not previously annotated in the D. vulgaris genome. Comparison of the intergenic and antisense data sets to the bioinformatical predicted candidates, resulted in ~;;54 common candidates. Current approaches using Northern analysis and qRT-PCR are being used toverify expression of the candidates and to further develop the role these sRNAs play in D. vulgaris regulation.