Literature DB >> 36129484

An adaptive tracking illumination system for optogenetic control of single bacterial cells.

Aiguo Xia1, Rongrong Zhang2, Yajia Huang2, Lei Ni2, Lu Pu3, Ye Li1, Shuai Yang4, Fan Jin5,6.   

Abstract

Single-cell behaviors are essential during early-stage biofilm formation. In this study, we aimed to evaluate whether single-cell behaviors could be precisely and continuously manipulated by optogenetics. We thus established adaptive tracking illumination (ATI), a novel illumination method to precisely manipulate the gene expression and bacterial behavior of Pseudomonas aeruginosa on the surface at the single-cell level by using the combination of a high-throughput bacterial tracking algorithm, optogenetic manipulation, and adaptive microscopy. ATI enables precise gene expression control by manipulating the optogenetic module gene expression and type IV pili (TFP)-mediated motility and microcolony formation during biofilm formation through bis-(3'-5')-cyclic dimeric guanosine monophosphate (c-di-GMP) level modifications in single cells. Moreover, we showed that the spatial organization of single cells in mature biofilms could be controlled using ATI. Therefore, this novel method we established might markedly answer various questions or resolve problems in microbiology. KEY POINTS: • High-resolution spatial and continuous optogenetic control of individual bacteria. • Phenotype-specific optogenetic control of individual bacteria. • Capacity to control biologically relevant processes in engineered single cells.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Adaptive microscopy; Optogenetics; Pseudomonas aeruginosa; Twitching motility

Mesh:

Substances:

Year:  2022        PMID: 36129484     DOI: 10.1007/s00253-022-12177-6

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   5.560


  20 in total

1.  From dusk till dawn: one-plasmid systems for light-regulated gene expression.

Authors:  Robert Ohlendorf; Roee R Vidavski; Avigdor Eldar; Keith Moffat; Andreas Möglich
Journal:  J Mol Biol       Date:  2012-01-08       Impact factor: 5.469

2.  Millisecond-timescale, genetically targeted optical control of neural activity.

Authors:  Edward S Boyden; Feng Zhang; Ernst Bamberg; Georg Nagel; Karl Deisseroth
Journal:  Nat Neurosci       Date:  2005-08-14       Impact factor: 24.884

3.  Bacteria use type-IV pili to slingshot on surfaces.

Authors:  Fan Jin; Jacinta C Conrad; Maxsim L Gibiansky; Gerard C L Wong
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-18       Impact factor: 11.205

4.  Expanding the Optogenetics Toolkit by Topological Inversion of Rhodopsins.

Authors:  Jennifer Brown; Reza Behnam; Luke Coddington; D G R Tervo; Kathleen Martin; Mikhail Proskurin; Elena Kuleshova; Junchol Park; James Phillips; Amelie C F Bergs; Alexander Gottschalk; Joshua T Dudman; Alla Y Karpova
Journal:  Cell       Date:  2018-10-18       Impact factor: 41.582

Review 5.  A brief history of synthetic biology.

Authors:  D Ewen Cameron; Caleb J Bashor; James J Collins
Journal:  Nat Rev Microbiol       Date:  2014-04-01       Impact factor: 60.633

6.  Fast, long-term, super-resolution imaging with Hessian structured illumination microscopy.

Authors:  Xiaoshuai Huang; Junchao Fan; Liuju Li; Haosen Liu; Runlong Wu; Yi Wu; Lisi Wei; Heng Mao; Amit Lal; Peng Xi; Liqiang Tang; Yunfeng Zhang; Yanmei Liu; Shan Tan; Liangyi Chen
Journal:  Nat Biotechnol       Date:  2018-04-11       Impact factor: 54.908

Review 7.  The development and application of optogenetics.

Authors:  Lief Fenno; Ofer Yizhar; Karl Deisseroth
Journal:  Annu Rev Neurosci       Date:  2011       Impact factor: 12.449

8.  Optogenetics.

Authors:  Karl Deisseroth
Journal:  Nat Methods       Date:  2010-12-20       Impact factor: 28.547

9.  Super-resolution video microscopy of live cells by structured illumination.

Authors:  Peter Kner; Bryant B Chhun; Eric R Griffis; Lukman Winoto; Mats G L Gustafsson
Journal:  Nat Methods       Date:  2009-04-26       Impact factor: 28.547

10.  Biofilm Lithography enables high-resolution cell patterning via optogenetic adhesin expression.

Authors:  Xiaofan Jin; Ingmar H Riedel-Kruse
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-19       Impact factor: 11.205

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