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Deciphering Operon Variability and its Regulation in Mycobacteria Using Third-Generation Sequencing

Irilenia Nobeli Research Image

Advances in the methods profiling transcriptomes have offered new insights into bacterial operons. What were once thought to be relatively simple and stable units of transcription have been shown to be surprisingly dynamic in response to environmental challenges experienced by bacteria. In this project we will harness the power of third generation (long-read) sequencing and computational biology methods to analyse operon variability in mycobacterial genomes and investigate its regulation by protein and non-coding RNAs

Disciplines and Techniques
Project supervisor/s
Dr. Irilenia Nobeli
Irilenia's research focuses on the development and application of bioinformatics and chemoinformatics methods to analyse and compare endogenous and exogenous metabolites, understand and predict molecular recognition, and predict protein function.
Birkbeck University of London
Dr. Kristine Arnvig
Kristine's research is to obtain a deeper understanding of the basic (RNA) biology of Mtb, which in time will support the development of novel diagnostics, drugs and vaccines.
University College London
References
Genetic regulatory mechanisms in the synthesis of proteins
Jacob, F. & Monod, J.
J Mol Biol 3:318
1961
Revisiting operons: an analysis of the landscape of transcriptional units in E. coli.
Mao, X. et al.
BMC Bioinformatics 16:356
2015
The unexpected complexity of bacterial genomes
The unexpected complexity of bacterial genomes
Microbiology 162:1167
2016
The transcriptional landscape of Streptococcus pneumoniae reveals a complex operon architecture and abundant riboregulation critical for growth and virulence
Warrier, I. et al.
bioRxiv preprint; doi: http://dx.doi.org/10.1101/286344
2018
. SMRT-Cappable-seq reveals complex operon variants in bacteria
Yan et al.
bioRxiv preprint. http://dx.doi.org/10.1101/262964
2018