Synthetic genetic oscillators demonstrate the functional importance of phenotypic variation in pneumococcal-host interactions.

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_335B2F934BB3
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Synthetic genetic oscillators demonstrate the functional importance of phenotypic variation in pneumococcal-host interactions.
Journal
Nature communications
Author(s)
Rueff A.S., van Raaphorst R., Aggarwal S.D., Santos-Moreno J., Laloux G., Schaerli Y., Weiser J.N., Veening J.W.
ISSN
2041-1723 (Electronic)
ISSN-L
2041-1723
Publication state
Published
Issued date
17/11/2023
Peer-reviewed
Oui
Volume
14
Number
1
Pages
7454
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Phenotypic variation is the phenomenon in which clonal cells display different traits even under identical environmental conditions. This plasticity is thought to be important for processes including bacterial virulence, but direct evidence for its relevance is often lacking. For instance, variation in capsule production in the human pathogen Streptococcus pneumoniae has been linked to different clinical outcomes, but the exact relationship between variation and pathogenesis is not well understood due to complex natural regulation. In this study, we use synthetic oscillatory gene regulatory networks (GRNs) based on CRISPR interference (CRISPRi) together with live cell imaging and cell tracking within microfluidics devices to mimic and test the biological function of bacterial phenotypic variation. We provide a universally applicable approach for engineering intricate GRNs using only two components: dCas9 and extended sgRNAs (ext-sgRNAs). Our findings demonstrate that variation in capsule production is beneficial for pneumococcal fitness in traits associated with pathogenesis providing conclusive evidence for this longstanding question.
Keywords
Humans, Streptococcus pneumoniae/genetics, RNA, Guide, CRISPR-Cas Systems, Phenotype, Biological Variation, Population
Pubmed
Web of science
Open Access
Yes
Create date
23/11/2023 16:43
Last modification date
20/01/2024 8:12
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