Literature DB >> 25468980

Type IV pili interactions promote intercellular association and moderate swarming of Pseudomonas aeruginosa.

Morgen E Anyan1, Aboutaleb Amiri2, Cameron W Harvey3, Giordano Tierra4, Nydia Morales-Soto5, Callan M Driscoll5, Mark S Alber6, Joshua D Shrout7.   

Abstract

Pseudomonas aeruginosa is a ubiquitous bacterium that survives in many environments, including as an acute and chronic pathogen in humans. Substantial evidence shows that P. aeruginosa behavior is affected by its motility, and appendages known as flagella and type IV pili (TFP) are known to confer such motility. The role these appendages play when not facilitating motility or attachment, however, is unclear. Here we discern a passive intercellular role of TFP during flagellar-mediated swarming of P. aeruginosa that does not require TFP extension or retraction. We studied swarming at the cellular level using a combination of laboratory experiments and computational simulations to explain the resultant patterns of cells imaged from in vitro swarms. Namely, we used a computational model to simulate swarming and to probe for individual cell behavior that cannot currently be otherwise measured. Our simulations showed that TFP of swarming P. aeruginosa should be distributed all over the cell and that TFP-TFP interactions between cells should be a dominant mechanism that promotes cell-cell interaction, limits lone cell movement, and slows swarm expansion. This predicted physical mechanism involving TFP was confirmed in vitro using pairwise mixtures of strains with and without TFP where cells without TFP separate from cells with TFP. While TFP slow swarm expansion, we show in vitro that TFP help alter collective motion to avoid toxic compounds such as the antibiotic carbenicillin. Thus, TFP physically affect P. aeruginosa swarming by actively promoting cell-cell association and directional collective motion within motile groups to aid their survival.

Entities:  

Keywords:  biofilms; collective motion; computational model; predictive simulations; self-organization

Mesh:

Substances:

Year:  2014        PMID: 25468980      PMCID: PMC4273417          DOI: 10.1073/pnas.1414661111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  44 in total

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Authors:  Joshua D Shrout; David L Chopp; Collin L Just; Morten Hentzer; Michael Givskov; Matthew R Parsek
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Authors: 
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5.  Imaging and analysis of Pseudomonas aeruginosa swarming and rhamnolipid production.

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Journal:  Appl Environ Microbiol       Date:  2011-10-07       Impact factor: 4.792

6.  Cyclic-di-GMP-mediated repression of swarming motility by Pseudomonas aeruginosa: the pilY1 gene and its impact on surface-associated behaviors.

Authors:  S L Kuchma; A E Ballok; J H Merritt; J H Hammond; W Lu; J D Rabinowitz; George A O'Toole
Journal:  J Bacteriol       Date:  2010-03-16       Impact factor: 3.490

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Review 9.  Swarming: flexible roaming plans.

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  29 in total

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Authors:  Abigail A Weaver; Diogo Bolster; Chinedu S Madukoma; Anne E Mattingly; Nydia Morales-Soto; Joshua D Shrout
Journal:  Appl Environ Microbiol       Date:  2021-02-12       Impact factor: 4.792

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Journal:  Biophys J       Date:  2017-04-11       Impact factor: 4.033

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Authors:  Barbara I Kazmierczak; Maren Schniederberend; Ruchi Jain
Journal:  Curr Opin Microbiol       Date:  2015-10-23       Impact factor: 7.934

4.  Multiple Environmental Factors Influence the Importance of the Phosphodiesterase DipA upon Pseudomonas aeruginosa Swarming.

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5.  Ethanol Decreases Pseudomonas aeruginosa Flagellar Motility through the Regulation of Flagellar Stators.

Authors:  Kimberley A Lewis; Amy E Baker; Annie I Chen; Colleen E Harty; Sherry L Kuchma; George A O'Toole; Deborah A Hogan
Journal:  J Bacteriol       Date:  2019-08-22       Impact factor: 3.490

6.  Assessing Travel Conditions: Environmental and Host Influences On Bacterial Surface Motility.

Authors:  Anne E Mattingly; Abigail A Weaver; Aleksandar Dimkovikj; Joshua D Shrout
Journal:  J Bacteriol       Date:  2018-03-19       Impact factor: 3.490

7.  Dynamic motility selection drives population segregation in a bacterial swarm.

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Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-14       Impact factor: 11.205

8.  High-Speed "4D" Computational Microscopy of Bacterial Surface Motility.

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Journal:  ACS Nano       Date:  2017-09-01       Impact factor: 15.881

9.  Cryoelectron Microscopy Reconstructions of the Pseudomonas aeruginosa and Neisseria gonorrhoeae Type IV Pili at Sub-nanometer Resolution.

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10.  Motor Properties of PilT-Independent Type 4 Pilus Retraction in Gonococci.

Authors:  Robert Zöllner; Tom Cronenberg; Berenike Maier
Journal:  J Bacteriol       Date:  2019-08-22       Impact factor: 3.490

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