Swimming Behavior of Pseudomonas aeruginosa Studied by Holographic 3D Tracking

Vater, Svenja M.; Weiße, Sebastian; Maleschlijski, Stojan; Lotz, Carmen; Koschitzki, Florian; Schwartz, Thomas; Obst, Ursula; Rosenhahn, Axel

doi:10.1371/journal.pone.0087765

Cited by 56 publications

(43 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…8 Biofilm infections are difficult to eradicate with antimicrobial treatment and in vitro susceptibility tests show considerable resistance of biofilm cells to killing. 9 Such communities are problematic in a number of environmental and clinical settings due to their enhanced resistance to antimicrobial agents. 10 The identification of compounds that impede bacterial motility offers the potential application of such compounds for the limitation of bacterial surface colonization.…”

Section: Discussionmentioning

confidence: 99%

Pseudomonas Aeruginosa Chemotaxis Strategy

Meliani¹,

Bensoltane²,

BenlebnaF³

et al. 2017

JABB

View full text Add to dashboard Cite

It would be interesting to determine if dopamine (a monoamine catecholamine compounds) in the environment affect bacterial social and motility behaviors. Understanding this interaction in P. aeruginosa species could provide new insights into the regulation of the virulence of this pathogen in both environmental and clinical settings. In this case report, we examined two clinical isolates of Pseudomonas aeruginosa for their ability to produce biofilm with a chemotaxis behavior for the dopamine to explain this social behavior.

show abstract

Section: Discussionmentioning

confidence: 99%

Pseudomonas Aeruginosa Chemotaxis Strategy

Meliani¹,

Bensoltane²,

BenlebnaF³

et al. 2017

JABB

View full text Add to dashboard Cite

show abstract

“…In the bulk, an alternative class of swimming trajectory than runs was observed, where the movement of the bacteria was slower and characterised by frequent reversals of swimming direction, a phenomenon assumed to be caused by reversals of flagella rotation directional (Figure 3c), termed oscillating after the classification applied by Rosenhahn et al (11). These bacterial cells were travelling at a reduced speeds of 12 ± 5 μm/s, substantially slower than the cells exhibiting run trajectories at 59 ± 4 μm/s.…”

Section: Characterisation Of Bacterial Trajectoriesmentioning

confidence: 99%

“…Most recently, 3D tracking of bacteria has been achieved using digital holographic microscopy (DHM) where the x, y, z-position of individual cells is encoded in recorded diffraction patterns and determined computationally after the acquisition of data (11,12).…”

Section: Introductionmentioning

confidence: 99%

‘Simultaneous tracking of cell motility in liquid and at the solid-liquid interface’

Hook

Flewellen

Zaid

et al. 2019

Preprint

View full text Add to dashboard Cite

25Bacteria sense chemicals, surfaces and other cells and move toward some and away from others. Studying 26 how single bacterial cells in a population move requires sophisticated tracking and imaging techniques. We 27 have established quantitative methodology for label-free imaging and tracking of individual bacterial cells 28 simultaneously within the bulk liquid and at solid-liquid interfaces by utilizing the imaging modes of digital 29 holographic microscopy (DHM) in 3D, differential interference contrast (DIC) and total internal reflectance 30 microscopy (TIRM) in 2D combined with analysis protocols employing bespoke software. To exemplify 31 and validate this methodology, we investigated the swimming behavior of Pseudomonas aeruginosa wild 32 type and isogenic flagellar stator mutants (motAB and motCD) respectively within the bulk liquid and at the 33 surface at the single cell and population levels. Multiple motile behaviours were observed that could be 34Page 2 of 39 differentiated by speed and directionality. Both stator mutants swam slower and were unable to adjust to the 35 near surface environment as effectively as the wildtype highlighting differential roles for the stators in 36 adapting to near surface environments. A significant reduction in run speed was observed for the P. 37 aeruginosa mot mutants, which decreased further on entering the near-surface environment. These results 38 are consistent with the mot stators playing key roles in responding to the near-surface environment. 39 40 Importance 41We have established a methodology to enable the movement of individual bacterial cells to be followed 42 within a 3D space without requiring any labelling. Such an approach is important to observe and understand 43 how bacteria interact with surfaces and form biofilm. We investigated the swimming behavior of 44Pseudomonas aeruginosa, which has two flagellar stators that drive its swimming motion. Mutants that 45 only had either one of the two stators swam slower and were unable to adjust to the near surface 46 environment as effectively as the wildtype. These results are consistent with the mot stators playing key 47 roles in responding to the near-surface environment, and could be used by bacteria to sense when it is near a 48 surface. 49 50 planktonic and surface attached cells will facilitate the acquisition of spatio-temporal dynamics that will aid 59 our understanding of the signal transduction mechanisms that drive bacterial social behaviors. 60 61Pseudomonas aeruginosa is a Gram-negative rod-shaped cell with a single polar flagellum that employs a 62 number of different mechanisms for moving through liquids and across surfaces. These include flagella-63 mediated swimming, spinning, near-surface swimming and swarming, type IV pili-mediated twitching 64 (crawling and walking), gliding (active movement without the use of flagella or pili), and sliding i.e. 65 passive movements over surfaces through the use of surfactants (14, 22). Flagella are also associated with 66 bacterial surface mechanosensin...

show abstract

“…[4] In general, the motion of microorganisms is observed using optical methods,s uch as optical microscopy. [5] Optical methods can be also applied for the detection of convection flow using particle image velocimetry.…”

mentioning

confidence: 99%

Electrochemical Motion Tracking of Microorganisms Using a Large‐Scale‐Integration‐Based Amperometric Device

et al. 2017

View full text Add to dashboard Cite

Motion tracking of microorganisms is useful to investigate the effects of chemical or physical stimulation on their biological functions. Herein, we describe a novel electrochemical imaging method for motion tracking of microorganisms using a large-scale integration (LSI)-based amperometric device. The device consists of 400 electrochemical sensors with a pitch of 250 μm. A convection flow caused by the motion of microorganisms supplies redox species to the sensors and increases their electrochemical responses. Thus, the flow is converted to electrochemical signals, enabling the electrochemical motion tracking of the microorganisms. As a proof of concept, capillary vibration was monitored. Finally, the method was applied to monitoring the motion of Daphnia magna. The motions of these microorganisms were clearly tracked based on the electrochemical oxidation of [Fe(CN) ] and reduction of O .

show abstract

Swimming Behavior of Pseudomonas aeruginosa Studied by Holographic 3D Tracking

Cited by 56 publications

References 53 publications

Pseudomonas Aeruginosa Chemotaxis Strategy

Pseudomonas Aeruginosa Chemotaxis Strategy

‘Simultaneous tracking of cell motility in liquid and at the solid-liquid interface’

Electrochemical Motion Tracking of Microorganisms Using a Large‐Scale‐Integration‐Based Amperometric Device

Contact Info

Product

Resources

About