Unknown,Transcriptomics,Genomics,Proteomics

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Identification of a p-coumarate degradation regulon in Rhodopseudomonas palustris using Xpression, an integrated tool for prokaryotic RNA-seq data processing

ABSTRACT: High-throughput sequencing of cDNA prepared from RNA, an approach known as RNA-seq, is coming into increasing use as a method for transcriptome analysis. Despite its many advantages, widespread adoption of the technique has been hampered by a lack of easy-to-use, integrated, open source tools for analyzing the nucleotide sequence data that are generated. Here we describe Xpression, an integrated tool for processing prokaryotic RNA-seq data. The tool is easy to use and is fully automated. It performs all essential processing tasks including nucleotide sequence extraction, alignment, quantification, normalization and visualization. Importantly, Xpression supports multiplexed and strand-specific nucleotide sequence data. It extracts and trims specific sequences from files and separately quantifies sense and antisense reads in the final results. Outputs from the tool can also be conveniently used in downstream analysis. In this paper, we show the utility of Xpression to process strand-specific RNA-seq data to identify genes regulated by CouR, a transcription factor that controls p-coumarate degradation by the bacterium Rhodopseudomonas palustris. Comparison of wild-type vs. couR mutant RNA-seq data to identify genes regulated by CouR. 2 wild-type replicates, 1 couR mutant replicate.

ORGANISM(S): Rhodopseudomonas palustris CGA009

SUBMITTER: Somsak Phattarasukol

PROVIDER: E-GEOD-39025 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Peripheral light harvesting (LH) antenna complexes have been studied extensively in the purple nonsulfur bacterium Rhodopseudomonas palustris because it produces different types of LH complexes under high light intensities (LH2 complex) and low light intensities (LH3 and LH4 complex). The ability of R. palustris to alter its peripheral LH complexes in response to changes in light intensity is attributed to the multiple operons that encode the a and b peptides that make up these complexes, whose expression is affected by light intensity, light quality, and oxygen tension. However, low resolution structures, amino acid similarities between the complexes, and a lack of transcriptional analysis made it difficult to determine the LH complexes composition and functions under different light intensities. It was also unclear how much diversity of the R. palustris LH complexes exists in nature.Results: To gain insight into the composition of the LH complexes, their function under high light intensities and low light intensities, and their prevalence in the environment we undertook an integrative genomics approach using 15 closely related R. palustris strains isolated from the environment and 5 R. palustris ecotypes whose genomes have been sequenced. We sequenced the genomes for the 15 closely related strains and using RNA-seq carried out transcriptomic analysis on all 20 strains grown under high light intensity and low light intensity. We were able to determine that even closely related R. palustris strains had differences in their pucBA gene content and expression, even under the same growth conditions. We also found that the LH2 complex could compensate for the lack of an LH4 complex under LL intensities but not under extremely LL intensities. Conclusions: This is the first time an integrative genomics approach has been used to study light harvesting in the environment. The variation observed in LH gene composition and expression in environmental isolates of R. palustris likely reflects how these strains have adapted to specific light conditions in the environment. We have also shown that there is redundancy between some of the LH complexes under certain light intensities, which may partially explain why multiple operons encoding LH complexes have evolved and been maintained in R. palustris. Examing the variation observed in LH gene composition and expression in various environmental isolates

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Identification of a p-coumarate degradation regulon in Rhodopseudomonas palustris using Xpression, an integrated tool for prokaryotic RNA-seq data processing

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