2013
DOI: 10.1186/1471-2164-14-667
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RNA-Seq of Bacillus licheniformis: active regulatory RNA features expressed within a productive fermentation

Abstract: BackgroundThe production of enzymes by an industrial strain requires a complex adaption of the bacterial metabolism to the conditions within the fermenter. Regulatory events within the process result in a dynamic change of the transcriptional activity of the genome. This complex network of genes is orchestrated by proteins as well as regulatory RNA elements. Here we present an RNA-Seq based study considering selected phases of an industry-oriented fermentation of Bacillus licheniformis.ResultsA detailed analys… Show more

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Cited by 41 publications
(63 citation statements)
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“…We used the Nucleotide activity Per Kilobase of exon model per million Mapped reads (NPKM), a derivate of RPKM (reads per kilo base per million), as a normalized read count value (Wiegand et al, 2013).…”
Section: Study Area Sample Collection and Chlorophyllmentioning
confidence: 99%
“…We used the Nucleotide activity Per Kilobase of exon model per million Mapped reads (NPKM), a derivate of RPKM (reads per kilo base per million), as a normalized read count value (Wiegand et al, 2013).…”
Section: Study Area Sample Collection and Chlorophyllmentioning
confidence: 99%
“…Based on genomic alignments, B. pumilus is closer to B. subtilis , B. licheniformis , and B. amyloliquefaciens [13], suggesting that similar metabolic or physiological processes may exist between B. pumilus and the model organism B. subtilis . Although the genome is considered the blueprint of life, much information regarding the physiological or metabolic processes is not directly accessible from the genome [14]. Therefore, various omics technologies such as transcriptomics, proteomics and metabolomics, have been employed as essential steps toward gaining insights into cell physiology from the genome.…”
Section: Introductionmentioning
confidence: 99%
“…Several published RNA-seq studies have focused on transcription start site (TSS) identification [7,9,10,20-28]. The annotation of TSSs is essential for analyzing promoters, 5â€Č UTRs, operon architecture, and for discovering novel transcripts.…”
Section: Identification Of Transcription Start Sitesmentioning
confidence: 99%