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Genome-wide Quantification of Translation in Budding Yeast by Ribosome Profiling
Published on: December 21, 2017
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Comprehensive analysis of the Corynebacterium glutamicum transcriptome using an improved RNAseq technique
Katharina Pfeifer-Sancar, Almut Mentz, Christian Rückert
1Microbial Genomics and Biotechnology, Center for Biotechnology, Bielefeld University, Universitätsstraße 27, 33615, Bielefeld, Germany. joern.kalinowski@cebitec.uni-bielefeld.de.
BMC Genomics
|December 18, 2013
Summary
This study comprehensively mapped the Corynebacterium glutamicum transcriptome using RNAseq, identifying thousands of transcription start sites and novel transcripts. This work improves genome annotation and understanding of bacterial gene regulation.
Area of Science:
- Bacterial Transcriptomics
- Genomic Annotation
- Molecular Biology
Background:
- RNA sequencing (RNAseq) has revealed the complexity of bacterial transcriptomes.
- Corynebacterium glutamicum is an industrially relevant amino acid producer and model organism.
Purpose of the Study:
- To comprehensively investigate the transcriptome of Corynebacterium glutamicum using RNAseq.
- To improve genome annotation and describe features of transcription and translation.
Main Methods:
- Utilized two RNAseq methods for high-resolution analysis of 5' and 3' transcript ends.
- Analyzed RNAseq data to identify transcription start sites (TSSs), 5'-untranslated regions (5'-UTRs), and novel transcripts.
Main Results:
- Identified over 2,000 TSSs and defined 5'-UTRs for protein-coding genes.
- Discovered numerous novel transcripts, including leaderless mRNAs (33%) and antisense transcripts.
- Characterized operon structures, with most genes transcribed monocistronically but some operons containing up to 16 genes.
Conclusions:
- Established a comprehensive transcriptome map for Corynebacterium glutamicum, enhancing the definition of genetic elements.
- Provides a foundation for analyzing transcriptional regulatory networks in C. glutamicum.
- Developed methods applicable to other bacteria for transcriptome analysis and potential replacement of microarrays.
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