Genome-wide antisense transcription drives mRNA processing in bacteria

RNA deep sequencing technologies are revealing unexpected levels of complexity in bacterial transcriptomes with the discovery of abundant noncoding RNAs, antisense RNAs, long 5' and 3' untranslated regions, and alternative operon structures. Here, by applying deep RNA sequencing to both th...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 108; no. 50; pp. 20172 - 20177
Main Authors Lasa, Iñigo, Toledo-Arana, Alejandro, Dobin, Alexander, Villanueva, Maite, de los Mozos, Igor Ruiz, Vergara-Irigaray, Marta, Segura, Víctor, Fagegaltier, Delphine, Penadés, José R, Valle, Jaione, Solano, Cristina, Gingeras, Thomas R
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 13.12.2011
National Acad Sciences
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Summary:RNA deep sequencing technologies are revealing unexpected levels of complexity in bacterial transcriptomes with the discovery of abundant noncoding RNAs, antisense RNAs, long 5' and 3' untranslated regions, and alternative operon structures. Here, by applying deep RNA sequencing to both the long and short RNA fractions (<50 nucleotides) obtained from the major human pathogen Staphylococcus aureus, we have detected a collection of short RNAs that is generated genome-wide through the digestion of overlapping sense/antisense transcripts by RNase III endoribonuclease. At least 75% of sense RNAs from annotated genes are subject to this mechanism of antisense processing. Removal of RNase III activity reduces the amount of short RNAs and is accompanied by the accumulation of discrete antisense transcripts. These results suggest the production of pervasive but hidden antisense transcription used to process sense transcripts by means of creating double-stranded substrates. This process of RNase III-mediated digestion of overlapping transcripts can be observed in several evolutionarily diverse Gram-positive bacteria and is capable of providing a unique genome-wide posttranscriptional mechanism to adjust mRNA levels.
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Author contributions: I.L., A.T.-A., and T.R.G. designed research; I.L., A.T.-A., M.V., I.R.d.l.M., M.V.-I., J.R.P., J.V., and C.S. performed research; A.D. and D.F. contributed new reagents/analytic tools; I.L., A.T.-A., A.D., V.S., and T.R.G. analyzed data; I.L., A.T.-A., and T.R.G. wrote the paper.
1I.L. and A.T.-A contributed equally to this work.
Edited by Susan Gottesman, National Cancer Institute, Bethesda, MD, and approved November 8, 2011 (received for review August 19, 2011)
ISSN:0027-8424
1091-6490
1091-6490
DOI:10.1073/pnas.1113521108