The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
cis-Antisense RNA, Another Level of Gene Regulation in Bacteria
Open accessAbstract
SUMMARY: A substantial amount of antisense transcription is a hallmark of gene expression in eukaryotes. However, antisense transcription was first demonstrated in bacteria almost 50 years ago. The transcriptomes of bacteria as different as Helicobacter pylori,Bacillus subtilis,Escherichia coli,Synechocystis sp. strain PCC6803,Mycoplasma pneumoniae,Sinorhizobium meliloti,Geobacter sulfurreducens,Vibrio cholerae,Chlamydia trachomatis,Pseudomonas syringae, and Staphylococcus aureus have now been reported to contain antisense RNA (asRNA) transcripts for a high percentage of genes. Bacterial asRNAs share functional similarities with trans-acting regulatory RNAs, but in addition, they use their own distinct mechanisms. Among their confirmed functional roles are transcription termination, codegradation, control of translation, transcriptional interference, and enhanced stability of their respective target transcripts. Here, we review recent publications indicating that asRNAs occur as frequently in simple unicellular bacteria as they do in higher organisms, and we provide a comprehensive overview of the experimentally confirmed characteristics of asRNA actions and intimately linked quantitative aspects. Emerging functional data suggest that asRNAs in bacteria mediate a plethora of effects and are involved in far more processes than were previously anticipated. Thus, the functional impact of asRNAs should be considered when developing new strategies against pathogenic bacteria and when optimizing bacterial strains for biotechnology.
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The complete genome sequence of the gastric pathogen Helicobacter pylori
Tomb, J.-F., White, O., Kerlavage, A. R., Clayton, R. A., Sutton, G. G., Fleischmann, R. D., Ketchum, K. A., Klenk, H. P., Gill, S., Dougherty, B. A., et al. (1997) · Nature · doi:10.1038/41483 · Cited by 3,529
The role of site accessibility in microRNA target recognition
Kertesz, M., Iovino, N., Unnerstall, U., Gaul, U., & Segal, E. (2007) · Nature Genetics · doi:10.1038/ng2135 · Cited by 2,460
Busch, A., Richter, A. S., & Backofen, R. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn544 · Cited by 552
Transcriptome complexity in a genome-reduced bacterium
Güell, M., van Noort, V., Yus, E., Chen, W.-H., Leigh-Bell, J., Michalodimitrakis, K., Yamada, T., Arumugam, M., Doerks, T., Kühner, S., et al. (2009) · Science · doi:10.1126/science.1176951 · Cited by 418
Antisense artifacts in transcriptome microarray experiments are resolved by actinomycin D
Perocchi, F., Xu, Z., Clauder-Münster, S., & Steinmetz, L. M. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm683 · Cited by 193
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Single-cell RNA-seq: advances and future challenges
Saliba, A.-E., Westermann, A. J., Gorski, S. A., & Vogel, J. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku555 · Cited by 847
Salgado, H., Peralta-Gil, M., Gama-Castro, S., Santos-Zavaleta, A., Muñiz-Rascado, L., García-Sotelo, J. S., Weiss, V., Solano-Lira, H., Martínez-Flores, I., Medina-Rivera, A., et al. (2013) · Nucleic Acids Research · doi:10.1093/nar/gks1201 · Cited by 425
Refactoring the nitrogen fixation gene cluster from Klebsiella oxytoca
Temme, K., Zhao, D., & Voigt, C. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1120788109 · Cited by 419
Thomason, M. K., Bischler, T., Eisenbart, S. K., Förstner, K. U., Zhang, A., Herbig, A., Nieselt, K., Sharma, C. M., & Storz, G. (2015) · Journal of Bacteriology · doi:10.1128/jb.02096-14 · Cited by 335
Dugar, G., Herbig, A., Förstner, K. U., Heidrich, N., Reinhardt, R., Nieselt, K., & Sharma, C. M. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003495 · Cited by 279
Metadata
- Authors
- Georg, J., & Hess, W. R.
- Venue
- Microbiology and Molecular Biology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2011-06
- Volume
- 75
- Issue
- 2
- Pages
- 286-300
- ISSN
- 1092-2172 (ISSN-L)
- 1098-5557
- OpenAlex
- W2161666385
- Cited by
- 394
- References
- 5
- FWCI
- 3.44
- Type
- journal article
- Language
- en
- Open access
- bronze
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