TY - GEN A1 - Alirezaeizanjani, Zahra A1 - Waljor, V. A1 - Hintsche, Marius A1 - Beta, Carsten T1 - How growth conditions affect bacterial chemotaxis responses T2 - European biophysics journal : with biophysics letters ; an international journal of biophysics Y1 - 2017 SN - 0175-7571 SN - 1432-1017 VL - 46 SP - S281 EP - S281 PB - Springer CY - New York ER - TY - GEN A1 - Seyrich, Maximilian A1 - Alirezaeizanjani, Zahra A1 - Beta, Carsten A1 - Stark, Holger T1 - Statistical parameter inference of bacterial swimming strategies T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - We provide a detailed stochastic description of the swimming motion of an E. coli bacterium in two dimension, where we resolve tumble events in time. For this purpose, we set up two Langevin equations for the orientation angle and speed dynamics. Calculating moments, distribution and autocorrelation functions from both Langevin equations and matching them to the same quantities determined from data recorded in experiments, we infer the swimming parameters of E. coli. They are the tumble rate lambda, the tumble time r(-1), the swimming speed v(0), the strength of speed fluctuations sigma, the relative height of speed jumps eta, the thermal value for the rotational diffusion coefficient D-0, and the enhanced rotational diffusivity during tumbling D-T. Conditioning the observables on the swimming direction relative to the gradient of a chemoattractant, we infer the chemotaxis strategies of E. coli. We confirm the classical strategy of a lower tumble rate for swimming up the gradient but also a smaller mean tumble angle (angle bias). The latter is realized by shorter tumbles as well as a slower diffusive reorientation. We also find that speed fluctuations are increased by about 30% when swimming up the gradient compared to the reversed direction. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 914 KW - E. coli KW - run and tumble KW - chemotaxis KW - stochastic processes KW - bacterial swimming strategies KW - parameter inference Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-446214 SN - 1866-8372 IS - 914 ER - TY - JOUR A1 - Seyrich, Maximilian A1 - Alirezaeizanjani, Zahra A1 - Beta, Carsten A1 - Stark, Holger T1 - Statistical parameter inference of bacterial swimming strategies JF - New journal of physics : the open-access journal for physics N2 - We provide a detailed stochastic description of the swimming motion of an E. coli bacterium in two dimension, where we resolve tumble events in time. For this purpose, we set up two Langevin equations for the orientation angle and speed dynamics. Calculating moments, distribution and autocorrelation functions from both Langevin equations and matching them to the same quantities determined from data recorded in experiments, we infer the swimming parameters of E. coli. They are the tumble rate lambda, the tumble time r(-1), the swimming speed v(0), the strength of speed fluctuations sigma, the relative height of speed jumps eta, the thermal value for the rotational diffusion coefficient D-0, and the enhanced rotational diffusivity during tumbling D-T. Conditioning the observables on the swimming direction relative to the gradient of a chemoattractant, we infer the chemotaxis strategies of E. coli. We confirm the classical strategy of a lower tumble rate for swimming up the gradient but also a smaller mean tumble angle (angle bias). The latter is realized by shorter tumbles as well as a slower diffusive reorientation. We also find that speed fluctuations are increased by about 30% when swimming up the gradient compared to the reversed direction. KW - E.coli KW - run and tumble KW - chemotaxis KW - stochastic processes KW - bacterial swimming strategies KW - parameter inference Y1 - 2018 U6 - https://doi.org/10.1088/1367-2630/aae72c SN - 1367-2630 VL - 20 PB - IOP Publ. Ltd. CY - Bristol ER - TY - GEN A1 - Weber, Ariane A1 - Bahrs, Marco A1 - Alirezaeizanjani, Zahra A1 - Zhang, Xingyu A1 - Beta, Carsten A1 - Zaburdaev, Vasily T1 - Rectification of Bacterial Diffusion in Microfluidic Labyrinths T2 - Postprints der Universität Potsdam Mathematisch-Naturwissenschaftliche Reihe N2 - In nature as well as in the context of infection and medical applications, bacteria often have to move in highly complex environments such as soil or tissues. Previous studies have shown that bacteria strongly interact with their surroundings and are often guided by confinements. Here, we investigate theoretically how the dispersal of swimming bacteria can be augmented by microfluidic environments and validate our theoretical predictions experimentally. We consider a system of bacteria performing the prototypical run-and-tumble motion inside a labyrinth with square lattice geometry. Narrow channels between the square obstacles limit the possibility of bacteria to reorient during tumbling events to an area where channels cross. Thus, by varying the geometry of the lattice it might be possible to control the dispersal of cells. We present a theoretical model quantifying diffusive spreading of a run-and-tumble random walker in a square lattice. Numerical simulations validate our theoretical predictions for the dependence of the diffusion coefficient on the lattice geometry. We show that bacteria moving in square labyrinths exhibit enhanced dispersal as compared to unconfined cells. Importantly, confinement significantly extends the duration of the phase with strongly non-Gaussian diffusion, when the geometry of channels is imprinted in the density profiles of spreading cells. Finally, in good agreement with our theoretical findings, we observe the predicted behaviors in experiments with E. coli bacteria swimming in a square lattice labyrinth created in amicrofluidic device. Altogether, our comprehensive understanding of bacterial dispersal in a simple two-dimensional labyrinth makes the first step toward the analysis of more complex geometries relevant for real world applications. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 801 KW - diffusion KW - rectification KW - random walk KW - bacteria KW - confinement Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-441222 SN - 1866-8372 IS - 801 ER - TY - JOUR A1 - Weber, Ariane A1 - Bahrs, Marco A1 - Alirezaeizanjani, Zahra A1 - Zhang, Xingyu A1 - Beta, Carsten A1 - Zaburdaev, Vasily T1 - Rectification of Bacterial Diffusion in Microfluidic Labyrinths JF - Frontiers in Physics N2 - In nature as well as in the context of infection and medical applications, bacteria often have to move in highly complex environments such as soil or tissues. Previous studies have shown that bacteria strongly interact with their surroundings and are often guided by confinements. Here, we investigate theoretically how the dispersal of swimming bacteria can be augmented by microfluidic environments and validate our theoretical predictions experimentally. We consider a system of bacteria performing the prototypical run-and-tumble motion inside a labyrinth with square lattice geometry. Narrow channels between the square obstacles limit the possibility of bacteria to reorient during tumbling events to an area where channels cross. Thus, by varying the geometry of the lattice it might be possible to control the dispersal of cells. We present a theoretical model quantifying diffusive spreading of a run-and-tumble random walker in a square lattice. Numerical simulations validate our theoretical predictions for the dependence of the diffusion coefficient on the lattice geometry. We show that bacteria moving in square labyrinths exhibit enhanced dispersal as compared to unconfined cells. Importantly, confinement significantly extends the duration of the phase with strongly non-Gaussian diffusion, when the geometry of channels is imprinted in the density profiles of spreading cells. Finally, in good agreement with our theoretical findings, we observe the predicted behaviors in experiments with E. coli bacteria swimming in a square lattice labyrinth created in amicrofluidic device. Altogether, our comprehensive understanding of bacterial dispersal in a simple two-dimensional labyrinth makes the first step toward the analysis of more complex geometries relevant for real world applications. KW - diffusion KW - rectification KW - random walk KW - bacteria KW - confinement Y1 - 2019 U6 - https://doi.org/10.3389/fphy.2019.00148 SN - 2296-424X SN - 0429-7725 VL - 7 PB - Frontiers Media CY - Lausanne ER - TY - THES A1 - Alirezaeizanjani, Zahra T1 - Movement strategies of a multi-mode bacterial swimmer N2 - Bacteria are one of the most widespread kinds of microorganisms that play essential roles in many biological and ecological processes. Bacteria live either as independent individuals or in organized communities. At the level of single cells, interactions between bacteria, their neighbors, and the surrounding physical and chemical environment are the foundations of microbial processes. Modern microscopy imaging techniques provide attractive and promising means to study the impact of these interactions on the dynamics of bacteria. The aim of this dissertation is to deepen our understanding four fundamental bacterial processes – single-cell motility, chemotaxis, bacterial interactions with environmental constraints, and their communication with neighbors – through a live cell imaging technique. By exploring these processes, we expanded our knowledge on so far unexplained mechanisms of bacterial interactions. Firstly, we studied the motility of the soil bacterium Pseudomonas putida (P. putida), which swims through flagella propulsion, and has a complex, multi-mode swimming tactic. It was recently reported that P. putida exhibits several distinct swimming modes – the flagella can push and pull the cell body or wrap around it. Using a new combined phase-contrast and fluorescence imaging set-up, the swimming mode (push, pull, or wrapped) of each run phase was automatically recorded, which provided the full swimming statistics of the multi-mode swimmer. Furthermore, the investigation of cell interactions with a solid boundary illustrated an asymmetry for the different swimming modes; in contrast to the push and pull modes, the curvature of runs in wrapped mode was not affected by the solid boundary. This finding suggested that having a multi-mode swimming strategy may provide further versatility to react to environmental constraints. Then we determined how P. putida navigates toward chemoattractants, i.e. its chemotaxis strategies. We found that individual run modes show distinct chemotactic responses in nutrition gradients. In particular, P. putida cells exhibited an asymmetry in their chemotactic responsiveness; the wrapped mode (slow swimming mode) was affected by the chemoattractant, whereas the push mode (fast swimming mode) was not. These results can be seen as a starting point to understand more complex chemotaxis strategies of multi-mode swimmers going beyond the well-known paradigm of Escherichia coli, that exhibits only one swimming mode. Finally we considered the cell dynamics in a dense population. Besides physical interactions with their neighbors, cells communicate their activities and orchestrate their population behaviors via quorum-sensing. Molecules that are secreted to the surrounding by the bacterial cells, act as signals and regulate the cell population behaviour. We studied P. putida’s motility in a dense population by exposing the cells to environments with different concentrations of chemical signals. We found that higher amounts of chemical signals in the surrounding influenced the single-cell behaviourr, suggesting that cell-cell communications may also affect the flagellar dynamics. In summary, this dissertation studies the dynamics of a bacterium with a multi-mode swimming tactic and how it is affected by the surrounding environment using microscopy imaging. The detailed description of the bacterial motility in fundamental bacterial processes can provide new insights into the ecology of microorganisms. N2 - Bakterien gehören zu den am weitesten verbreiteten Mikroorganismen mit einer essentiellen Bedeutung in vielen biologischen und okologischen Prozessen. Bakterien können entweder als unabhängige Individuen oder in organisierten Gemeinschaften leben. Auf dem Level einer einzelnen Zelle sind Interaktionen zwischen Bakterien, ihren Nachbarn und des umgebenden physikalischen und chemischen Umwelt die Grundlage von mikrobiellen Prozessen. Mikroskopische Bildgebungs techniken bieten attraktive und vielversprechende Möglichkeiten den Einfluß dieses Interaktionen auf die Dynamik von Bakterien zu untersuchen. Das ziel dieser Dissertation ist es, vier fundamentale bakterielle Prozesse mittels Lebendzell-Mikroskopie besser zu verstehen – die Einzelzellbewegung, die Chemotaxis, die Wechselwirkungen der Bakterien mit der Umgebung und ihre Kommunikation mit Nachbarzellen. Durch die Untersuchung dieser Prozesse konnten wir das Wissen über die bisher ungeklärten Mechanismen der bakteriellen Interaktionen erweitern. Als Erstes untersuchten wir die Fortbewegung des Bodenbakteriums Pseudomonas putida (P. putida), welches mit Hilfe eines Flagellenantriebs schwimmt und eine komplexe multi-mode Schwimmstrategie aufweist. Kürzlich wurde veröffentlich, dass P. putida mehrere unterschiedliche Schwimmmodi besitzt – die Flagellen können den Zellkörper nach vorne drücken (push) oder ziehen (pull) oder sich um ihn wickeln (wrap). Unter Verwendung einer neuen Methode, der kombinierten Phasenkontrast- und Fluoreszenzmikroskopie, konnten die Schwimmmodi (push, pull oder wrap) für jede Schwimmphase automatisch aufgenommen werden, was eine vollständige Schwimmstatistik des multi-mode Schwimmers lieferte. Weiterhin zeigte die Untersuchung von Interaktionen mit einer festen Grenzschicht eine Asymmetrie bezüglich der verschiedenen Schwimmmodi. Im Gegensatz zu push und pull, der wrapped Modus nicht durch die feste Grenzschicht beeinflusst. Diese Ergebnisse lassen vermuten, dass eine multi-mode Schwimmstrategie dem Bakterium weitere möglichkeiten bietet, sich an die Umgebungsbedingungen anzupassen. Als Nächstes haben wir bestimmt, wie P. putida in Richtung eines Lockstoffes navigiert (Chemotaxis). Wir haben herausgefunden, dass einzelne Schwimmmodi eine unterschiedliche chemotaktische Antwort in Nährstoff-gradienten zeigen. P. putida besitzt eine Asymmetrie in seiner chemotaktischen Ansprechbarkeit: der wrapped Modus (langsamer Schwimmmodus) wird vom Lockstoff beeinflusst, der push Modus (schneller Schwimmmodus) hingegen nicht. Diese Ergebnisse können als Ausgangspunkt gesehen werden, um komplexere Chemotaxisstrategien von mulit-mode Schwimmern zu verstehen, die über das bekannte Musterbeispiel Escherichia coli hinaus gehen, des nur einen schwimmmodus aufweist. schließend haben wir die Zelldynamik in dichten Kulturen untersucht. Neben den physikalischen Interaktionen mit den Nachbarzellen, kommunizieren zellen ihre Aktivitäten und organisieren ihr Populationsverhalten über quorum sensing. Moleküle, die von den Bakterienzellen in die Umgebung sekretiert werden, wirken als Signale und regulieren das Verhalten der Zellpopulation. Wir haben die Bewegung von P. putida in hoher Zelldichte untersucht, indem wir die Zellen unterschiedlichen Konzentrationen dieses Moleküle aussetzten. Wir haben festgestellt, dass größere Mengen dieser signalstoffe in der Umgebung die Einzelzelldynamik beeinflusst haben. Dies lässt uns vermuten, dass sich die Zell-Zell-Kommunikation auch auf die Flagellendynamik auswirkt. Zusammenfassend zeigt diese Dissertation mittels Mikroskopie die Dynamik von einem Bakterium mit multi-mode Schwimmstrategie und wie die umgebende Umwelt diese Dynamik beeinflußt. Die detaillierte Beschreibung der Bakterienmotilität in grundlegenden bakteriellen Prozessen kann neue Erkenntnisse für die ökologie der Mikroorganismen bringen. T2 - Bewegungsstrategien von bakteriellenmulti-mode Schwimmern KW - Single-cell motility KW - Einzelzellbewegung KW - Chemotaxis KW - Chemotaxis KW - Flagellen KW - Flagella KW - Bacteria KW - Bakterien Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-475806 ER - TY - GEN A1 - Alirezaeizanjani, Zahra A1 - Großmann, Robert A1 - Pfeifer, Veronika A1 - Hintsche, Marius A1 - Beta, Carsten T1 - Chemotaxis strategies of bacteria with multiple run modes T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Bacterial chemotaxis-a fundamental example of directional navigation in the living world-is key to many biological processes, including the spreading of bacterial infections. Many bacterial species were recently reported to exhibit several distinct swimming modes-the flagella may, for example, push the cell body or wrap around it. How do the different run modes shape the chemotaxis strategy of a multimode swimmer? Here, we investigate chemotactic motion of the soil bacterium Pseudomonas putida as a model organism. By simultaneously tracking the position of the cell body and the configuration of its flagella, we demonstrate that individual run modes show different chemotactic responses in nutrition gradients and, thus, constitute distinct behavioral states. On the basis of an active particle model, we demonstrate that switching between multiple run states that differ in their speed and responsiveness provides the basis for robust and efficient chemotaxis in complex natural habitats. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1418 KW - instability KW - flagellum KW - exploit KW - time Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-519098 SN - 1866-8372 IS - 22 ER - TY - JOUR A1 - Alirezaeizanjani, Zahra A1 - Großmann, Robert A1 - Pfeifer, Veronika A1 - Hintsche, Marius A1 - Beta, Carsten T1 - Chemotaxis strategies of bacteria with multiple run modes JF - Science advances N2 - Bacterial chemotaxis-a fundamental example of directional navigation in the living world-is key to many biological processes, including the spreading of bacterial infections. Many bacterial species were recently reported to exhibit several distinct swimming modes-the flagella may, for example, push the cell body or wrap around it. How do the different run modes shape the chemotaxis strategy of a multimode swimmer? Here, we investigate chemotactic motion of the soil bacterium Pseudomonas putida as a model organism. By simultaneously tracking the position of the cell body and the configuration of its flagella, we demonstrate that individual run modes show different chemotactic responses in nutrition gradients and, thus, constitute distinct behavioral states. On the basis of an active particle model, we demonstrate that switching between multiple run states that differ in their speed and responsiveness provides the basis for robust and efficient chemotaxis in complex natural habitats. KW - exploit KW - flagellum KW - instability KW - time Y1 - 2020 U6 - https://doi.org/10.1126/sciadv.aaz6153 SN - 2375-2548 VL - 6 IS - 22 PB - American Association for the Advancement of Science CY - Washington ER -