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RNAseq analysis of α-proteobacterium Gluconobacter oxydans 621H

Overview of attention for article published in BMC Genomics, January 2018
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Title
RNAseq analysis of α-proteobacterium Gluconobacter oxydans 621H
Published in
BMC Genomics, January 2018
DOI 10.1186/s12864-017-4415-x
Pubmed ID
Authors

Angela Kranz, Tobias Busche, Alexander Vogel, Björn Usadel, Jörn Kalinowski, Michael Bott, Tino Polen

Abstract

The acetic acid bacterium Gluconobacter oxydans 621H is characterized by its exceptional ability to incompletely oxidize a great variety of carbohydrates in the periplasm. The metabolism of this α-proteobacterium has been characterized to some extent, yet little is known about its transcriptomes and related data. In this study, we applied two different RNAseq approaches. Primary transcriptomes enriched for 5'-ends of transcripts were sequenced to detect transcription start sites, which allow subsequent analysis of promoter motifs, ribosome binding sites, and 5´-UTRs. Whole transcriptomes were sequenced to identify expressed genes and operon structures. Sequencing of primary transcriptomes of G. oxydans revealed 2449 TSSs, which were classified according to their genomic context followed by identification of promoter and ribosome binding site motifs, analysis of 5´-UTRs including validation of predicted cis-regulatory elements and correction of start codons. 1144 (41%) of all genes were found to be expressed monocistronically, whereas 1634 genes were organized in 571 operons. Together, TSSs and whole transcriptome data were also used to identify novel intergenic (18), intragenic (328), and antisense transcripts (313). This study provides deep insights into the transcriptional landscapes of G. oxydans. The comprehensive transcriptome data, which we made publicly available, facilitate further analysis of promoters and other regulatory elements. This will support future approaches for rational strain development and targeted gene expression in G. oxydans. The corrections of start codons further improve the high quality genome reference and support future proteome analysis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 25%
Student > Bachelor 5 16%
Student > Ph. D. Student 4 13%
Professor > Associate Professor 2 6%
Researcher 2 6%
Other 3 9%
Unknown 8 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 28%
Agricultural and Biological Sciences 7 22%
Engineering 4 13%
Computer Science 1 3%
Unspecified 1 3%
Other 0 0%
Unknown 10 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 January 2018.
All research outputs
#17,925,346
of 23,015,156 outputs
Outputs from BMC Genomics
#7,614
of 10,697 outputs
Outputs of similar age
#310,600
of 442,080 outputs
Outputs of similar age from BMC Genomics
#151
of 220 outputs
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We're also able to compare this research output to 220 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.