Chiner-Oms, Álvaro, Berney, M, Boinett, C, González-Candelas, F, Young, DB, Gagneux, S, Jacobs Jr, WR, Parkhill, J, Cortes, T and Comas, I. 2019. Genome-wide mutational biases fuel transcriptional diversity in the Mycobacterium tuberculosis complex. [Online]. Nature Communications. Available from: https://doi.org/10.1038/s41467-019-11948-6
Chiner-Oms, Álvaro, Berney, M, Boinett, C, González-Candelas, F, Young, DB, Gagneux, S, Jacobs Jr, WR, Parkhill, J, Cortes, T and Comas, I. Genome-wide mutational biases fuel transcriptional diversity in the Mycobacterium tuberculosis complex [Internet]. Nature Communications; 2019. Available from: https://doi.org/10.1038/s41467-019-11948-6
Chiner-Oms, Álvaro, Berney, M, Boinett, C, González-Candelas, F, Young, DB, Gagneux, S, Jacobs Jr, WR, Parkhill, J, Cortes, T and Comas, I (2019). Genome-wide mutational biases fuel transcriptional diversity in the Mycobacterium tuberculosis complex. [Data Collection]. Nature Communications. https://doi.org/10.1038/s41467-019-11948-6
Description
The Mycobacterium tuberculosis complex (MTBC) members display different host-specificities and virulence phenotypes. Here, we have performed a comprehensive RNAseq and methylome analysis of the main clades of the MTBC and discovered unique transcriptional profiles. The majority of genes differentially expressed between the clades encode proteins involved in host interaction and metabolic functions. A significant fraction of changes in gene expression can be explained by positive selection on single mutations that either create or disrupt transcriptional start sites (TSS). Furthermore, we show that clinical strains have different methyltransferases inactivated and thus different methylation patterns. Under the tested conditions, differential methylation has a minor direct role on transcriptomic differences between strains. However, disruption of a methyltransferase in one clinical strain revealed important expression differences suggesting indirect mechanisms of expression regulation. Our study demonstrates that variation in transcriptional profiles are mainly due to TSS mutations and have likely evolved due to differences in host characteristics.
Keywords
| Data capture method | Experiment |
|---|---|
| Date (Date published in a 3rd party system) | 5 September 2019 |
| Language(s) of written materials | English |
| Data Creators | Chiner-Oms, Álvaro, Berney, M, Boinett, C, González-Candelas, F, Young, DB, Gagneux, S, Jacobs Jr, WR, Parkhill, J, Cortes, T and Comas, I |
|---|---|
| LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases |
| Participating Institutions | London School of Hygiene & Tropical Medicine |
| Date Deposited | 16 Sep 2019 15:10 |
|---|---|
| Last Modified | 08 Jul 2021 12:51 |
| Publisher | Nature Communications |
