Open Access Research article

Bacterial translational regulations: high diversity between all mRNAs and major role in gene expression

Flora Picard123, Hélène Milhem4, Pascal Loubière123, Béatrice Laurent4, Muriel Cocaign-Bousquet123* and Laurence Girbal123

Author Affiliations

1 Université de Toulouse; INSA, UPS, INP; LISBP, 135 Avenue de Rangueil, Toulouse, F-31077, France

2 INRA, UMR792 Ingénierie des Systèmes Biologiques et des Procédés, Toulouse, F-31400, France

3 CNRS, UMR5504, Toulouse, F-31400, France

4 Institut de Mathématiques de Toulouse, UMR 5219, INSA de Toulouse, Université de Toulouse, 135 Avenue de Rangueil, Toulouse, F-31077, France

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BMC Genomics 2012, 13:528  doi:10.1186/1471-2164-13-528

Published: 4 October 2012

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Additional file 1:

Figure S3. Ribosome density and ribosome occupancy values of L. lactis cells grown in exponential phase.

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Additional file 2:

Table S2. Simple correlation analyses. Pearson correlation coefficients and the associated p-value were calculated.

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Additional file 3:

Figure S4. Dot plot of ribosome occupancy versus ribosome density of genes involved in metabolic pathways discussed in the text. The dashed line indicates the ribosome density mean value of 1.31 ribosomes per 100 nucleotides calculated when considering the entire set of 1049 genes with a ribosome density value. The dotted line shows the ribosome occupancy mean value of 67% obtained for the1619 gene set with a ribosome occupancy value.

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Additional file 4:

Table S1. Correlation between ribosome density and CDS length for the 814 genes used in the modeling approach. The upper part of the curve entitled ”high” corresponds to heavily loaded-ribosome genes (peak fraction in fraction H; 9.6-17.9 loaded ribosomes per transcript) while the lower part corresponds to genes loaded with only one ribosome (peak fraction in the monosome fraction D).

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