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Olo Ndela E, Enault F, Toussaint A. Transposable Prophages in Leptospira: An Ancient, Now Diverse, Group Predominant in Causative Agents of Weil's Disease. Int J Mol Sci 2021; 22:13434. [PMID: 34948244 PMCID: PMC8705779 DOI: 10.3390/ijms222413434] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 12/06/2021] [Accepted: 12/11/2021] [Indexed: 12/24/2022] Open
Abstract
The virome associated with the corkscrew shaped bacterium Leptospira, responsible for Weil's disease, is scarcely known, and genetic tools available for these bacteria remain limited. To reduce these two issues, potential transposable prophages were searched in Leptospiraceae genomes. The 236 predicted transposable prophages were particularly abundant in the most pathogenic leptospiral clade, being potentially involved in the acquisition of virulent traits. According to genomic similarities and phylogenies, these prophages are distantly related to known transposable phages and are organized into six groups, one of them encompassing prophages with unusual TA-TA ends. Interestingly, structural and transposition proteins reconstruct different relationships between groups, suggesting ancestral recombinations. Based on the baseplate phylogeny, two large clades emerge, with specific gene-contents and high sequence divergence reflecting their ancient origin. Despite their high divergence, the size and overall genomic organization of all prophages are very conserved, a testimony to the highly constrained nature of their genomes. Finally, similarities between these prophages and the three known non-transposable phages infecting L. biflexa, suggest gene transfer between different Caudovirales inside their leptospiral host, and the possibility to use some of the transposable prophages in that model strain.
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Affiliation(s)
- Eric Olo Ndela
- Laboratoire Microorganismes: Genome Environment (LMGE), Université Clermont Auvergne, CNRS, F-63000 Clermont-Ferrand, France;
| | - François Enault
- Laboratoire Microorganismes: Genome Environment (LMGE), Université Clermont Auvergne, CNRS, F-63000 Clermont-Ferrand, France;
| | - Ariane Toussaint
- Microbiologie Cellulaire et Moléculaire, Université Libre de Bruxelles, IBMM-DBM, 12 Rue des Professeurs Jeneer et Brachet, B-6041 Gosselies, Belgium;
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Ho TYH, Shao A, Lu Z, Savilahti H, Menolascina F, Wang L, Dalchau N, Wang B. A systematic approach to inserting split inteins for Boolean logic gate engineering and basal activity reduction. Nat Commun 2021; 12:2200. [PMID: 33850130 PMCID: PMC8044194 DOI: 10.1038/s41467-021-22404-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 03/12/2021] [Indexed: 12/31/2022] Open
Abstract
Split inteins are powerful tools for seamless ligation of synthetic split proteins. Yet, their use remains limited because the already intricate split site identification problem is often complicated by the requirement of extein junction sequences. To address this, we augment a mini-Mu transposon-based screening approach and devise the intein-assisted bisection mapping (IBM) method. IBM robustly reveals clusters of split sites on five proteins, converting them into AND or NAND logic gates. We further show that the use of inteins expands functional sequence space for splitting a protein. We also demonstrate the utility of our approach over rational inference of split sites from secondary structure alignment of homologous proteins, and that basal activities of highly active proteins can be mitigated by splitting them. Our work offers a generalizable and systematic route towards creating split protein-intein fusions for synthetic biology.
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Affiliation(s)
- Trevor Y H Ho
- Centre for Synthetic and Systems Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.,Hangzhou Innovation Centre, Zhejiang University, Hangzhou, China.,College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
| | - Alexander Shao
- Centre for Synthetic and Systems Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.,Microsoft Research, Cambridge, UK
| | - Zeyu Lu
- Centre for Synthetic and Systems Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Filippo Menolascina
- Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, UK
| | - Lei Wang
- School of Engineering, Westlake University, Hangzhou, China
| | | | - Baojun Wang
- Centre for Synthetic and Systems Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK. .,Hangzhou Innovation Centre, Zhejiang University, Hangzhou, China. .,College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China. .,ZJU-UoE Joint Research Centre for Engineering Biology, Zhejiang University, Haining, China.
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