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Prediction of Transcriptional Terminators in Bacillus subtilis and Related Species

Overview of attention for article published in PLoS Computational Biology, August 2005
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Title
Prediction of Transcriptional Terminators in Bacillus subtilis and Related Species
Published in
PLoS Computational Biology, August 2005
DOI 10.1371/journal.pcbi.0010025
Pubmed ID
Authors

Michiel J. L. de Hoon, Yuko Makita, Kenta Nakai, Satoru Miyano

Abstract

In prokaryotes, genes belonging to the same operon are transcribed in a single mRNA molecule. Transcription starts as the RNA polymerase binds to the promoter and continues until it reaches a transcriptional terminator. Some terminators rely on the presence of the Rho protein, whereas others function independently of Rho. Such Rho-independent terminators consist of an inverted repeat followed by a stretch of thymine residues, allowing us to predict their presence directly from the DNA sequence. Unlike in Escherichia coli, the Rho protein is dispensable in Bacillus subtilis, suggesting a limited role for Rho-dependent termination in this organism and possibly in other Firmicutes. We analyzed 463 experimentally known terminating sequences in B. subtilis and found a decision rule to distinguish Rho-independent transcriptional terminators from non-terminating sequences. The decision rule allowed us to find the boundaries of operons in B. subtilis with a sensitivity and specificity of about 94%. Using the same decision rule, we found an average sensitivity of 94% for 57 bacteria belonging to the Firmicutes phylum, and a considerably lower sensitivity for other bacteria. Our analysis shows that Rho-independent termination is dominant for Firmicutes in general, and that the properties of the transcriptional terminators are conserved. Terminator prediction can be used to reliably predict the operon structure in these organisms, even in the absence of experimentally known operons. Genome-wide predictions of Rho-independent terminators for the 57 Firmicutes are available in the Supporting Information section.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
India 2 <1%
Germany 1 <1%
Italy 1 <1%
Finland 1 <1%
Slovakia 1 <1%
Sweden 1 <1%
China 1 <1%
Argentina 1 <1%
Other 2 <1%
Unknown 203 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 29%
Researcher 56 26%
Student > Master 23 11%
Student > Bachelor 21 10%
Student > Doctoral Student 8 4%
Other 23 11%
Unknown 23 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 115 53%
Biochemistry, Genetics and Molecular Biology 56 26%
Engineering 4 2%
Chemical Engineering 3 1%
Immunology and Microbiology 3 1%
Other 8 4%
Unknown 28 13%