The transcription unit architecture of the Escherichia coli genome

Cho et al . reconstruct the regulatory and functional architecture of the E. coli genome by integrating data from several high-throughput measurements. The detailed map will allow the development of improved models of the networks that control the bacterium's transcription and translation. Bact...

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Veröffentlicht in:Nature biotechnology 2009-11, Vol.27 (11), p.1043-1049
Hauptverfasser: Palsson, Bernhard Ø, Cho, Byung-Kwan, Zengler, Karsten, Qiu, Yu, Park, Young Seoub, Knight, Eric M, Barrett, Christian L, Gao, Yuan
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Sprache:eng
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Zusammenfassung:Cho et al . reconstruct the regulatory and functional architecture of the E. coli genome by integrating data from several high-throughput measurements. The detailed map will allow the development of improved models of the networks that control the bacterium's transcription and translation. Bacterial genomes are organized by structural and functional elements, including promoters, transcription start and termination sites, open reading frames, regulatory noncoding regions, untranslated regions and transcription units. Here, we iteratively integrate high-throughput, genome-wide measurements of RNA polymerase binding locations and mRNA transcript abundance, 5′ sequences and translation into proteins to determine the organizational structure of the Escherichia coli K-12 MG1655 genome. Integration of the organizational elements provides an experimentally annotated transcription unit architecture, including alternative transcription start sites, 5′ untranslated region, boundaries and open reading frames of each transcription unit. A total of 4,661 transcription units were identified, representing an increase of >530% over current knowledge. This comprehensive transcription unit architecture allows for the elucidation of condition-specific uses of alternative sigma factors at the genome scale. Furthermore, the transcription unit architecture provides a foundation on which to construct genome-scale transcriptional and translational regulatory networks.
ISSN:1087-0156
1546-1696
DOI:10.1038/nbt.1582