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1

Verhoeven, Els, Said Abdellati, Patrick Nys, et al. "Construction and optimization of a ‘NG Morbidostat’ - An automated continuous-culture device for studying the pathways towards antibiotic resistance in Neisseria gonorrhoeae." F1000Research 8 (April 26, 2019): 560. http://dx.doi.org/10.12688/f1000research.18861.1.

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To obtain a detailed picture of the dynamics of antibiotic resistance development in Neisseria gonorrhoeae, we built a morbidostat according to the protocol of Toprak et al., adjusted to the specific characteristics required for the growth of N. gonorrhoeae. In this article we describe the adaptations, specifications and the difficulties we encountered during the construction and optimization of the NG morbidostat. As a proof of concept, we conducted a morbidostat experiment by increasing concentrations of azithromycin in response to bacterial growth. We started the experiment with two N. gono
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2

Verhoeven, Els, Said Abdellati, Patrick Nys, et al. "Construction and optimization of a ‘NG Morbidostat’ - An automated continuous-culture device for studying the pathways towards antibiotic resistance in Neisseria gonorrhoeae." F1000Research 8 (January 8, 2020): 560. http://dx.doi.org/10.12688/f1000research.18861.2.

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To obtain a detailed picture of the dynamics of antibiotic resistance development in Neisseria gonorrhoeae, we built a morbidostat according to the protocol of Toprak et al., adjusted to the specific characteristics required for the growth of N. gonorrhoeae. In this article we describe the adaptations, specifications and the difficulties we encountered during the construction and optimization of the NG morbidostat. As a proof of concept, we conducted a morbidostat experiment by increasing concentrations of azithromycin in response to bacterial growth. We started the experiment with two N. gono
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3

Fridman, Ofer, Amir Goldberg, and Nathalie Q. Balaban. "Whack-an-E. coli with the morbidostat." Genome Biology 13, no. 1 (2012): 140. http://dx.doi.org/10.1186/gb-2012-13-1-140.

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4

Cheng, Ziran, and Sze-Bi Hsu. "Dynamics of drug on-drug off models with mutations in morbidostat — Dedicated to the seventieth birthday of Professor Gail Wolkowicz." AIMS Mathematics 8, no. 9 (2023): 20815–40. http://dx.doi.org/10.3934/math.20231061.

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<abstract><p>The morbidostat is a bacteria culture device that progressively increases antibiotic drug concentration. It is used to study the evolutionary pathway. In this article, we construct mathematical models for the morbidostat. First we consider the case of no mutations, we study limiting systems and obtain criteria for the large time behavior of the solutions. From the theoretical results and numerical simulations, we conclude that there are two competitive exclusion states of either wild type or mutant type as the threshold parameter $ U $ varies. There are three cases, wi
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5

Pedreira, Adrián, José A. Vázquez, Andrey Romanenko, and Míriam R. García. "Design and Validation of a PLC-Controlled Morbidostat for Investigating Bacterial Drug Resistance." Bioengineering 11, no. 8 (2024): 815. http://dx.doi.org/10.3390/bioengineering11080815.

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During adaptive laboratory evolution experiments, any unexpected interruption in data monitoring or control could lead to the loss of valuable experimental data and compromise the integrity of the entire experiment. Most homemade mini-bioreactors are built employing microcontrollers such as Arduino. Although affordable, these platforms lack the robustness of the programmable logic controller (PLC), which enhances the safety and robustness of the control process. Here, we describe the design and validation of a PLC-controlled morbidostat, an innovative automated continuous-culture mini-bioreact
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6

Chen, Zhenzhen, Sze-Bi Hsu, and Ya-Tang Yang. "The Morbidostat: A Bio-reactor That Promotes Selection for Drug Resistance in Bacteria." SIAM Journal on Applied Mathematics 77, no. 2 (2017): 470–99. http://dx.doi.org/10.1137/16m105695x.

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7

Chen, Zhenzhen, Sze-Bi Hsu, and Ya-Tang Yang. "The continuous morbidostat: A chemostat with controlled drug application to select for drug resistance mutants." Communications on Pure & Applied Analysis 19, no. 1 (2020): 203–20. http://dx.doi.org/10.3934/cpaa.2020011.

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8

Toprak, Erdal, Adrian Veres, Sadik Yildiz, et al. "Building a morbidostat: an automated continuous-culture device for studying bacterial drug resistance under dynamically sustained drug inhibition." Nature Protocols 8, no. 3 (2013): 555–67. http://dx.doi.org/10.1038/nprot.2013.021.

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9

Laumen, J. G. E., S. S. Manoharan-Basil, E. Verhoeven, et al. "Molecular pathways to high-level azithromycin resistance in Neisseria gonorrhoeae." Journal of Antimicrobial Chemotherapy 76, no. 7 (2021): 1752–58. http://dx.doi.org/10.1093/jac/dkab084.

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Abstract Background The prevalence of azithromycin resistance in Neisseria gonorrhoeae is increasing in numerous populations worldwide. Objectives To characterize the genetic pathways leading to high-level azithromycin resistance. Methods A customized morbidostat was used to subject two N. gonorrhoeae reference strains (WHO-F and WHO-X) to dynamically sustained azithromycin pressure. We tracked stepwise evolution of resistance by whole genome sequencing. Results Within 26 days, all cultures evolved high-level azithromycin resistance. Typically, the first step towards resistance was found in tr
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10

González, Natalia, Jolein Gyonne Elise Laumen, Saïd Abdellati, et al. "Pre-exposure to azithromycin enhances gonococcal resilience to subsequent ciprofloxacin exposure: an in vitro study." F1000Research 11 (December 9, 2022): 1464. http://dx.doi.org/10.12688/f1000research.126078.1.

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Background: The effect of sequential exposure to different antibiotics is an underexplored topic. Azithromycin can be detected in humans for up to 28 days post-ingestion and may prime bacterial responses to subsequently ingested antibiotics. Methods: In this in vitro study, we assessed if preexposure to azithromycin could accelerate the acquisition of resistance to ciprofloxacin in Neisseria gonorrhoeae reference strain, WHO–F. In a morbidostat, we set two conditions in 3 vials each: mono-exposure (preexposure to Gonococcal Broth followed by exposure to ciprofloxacin) and dual sequential expos
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11

González, Natalia, Jolein Gyonne Elise Laumen, Saïd Abdellati, et al. "Pre-exposure to azithromycin enhances gonococcal resilience to subsequent ciprofloxacin exposure: an in vitro study." F1000Research 11 (January 27, 2023): 1464. http://dx.doi.org/10.12688/f1000research.126078.2.

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Background: The effect of sequential exposure to different antibiotics is an underexplored topic. Azithromycin can be detected in humans for up to 28 days post-ingestion and may prime bacterial responses to subsequently ingested antibiotics. Methods: In this in vitro study, we assessed if preexposure to azithromycin could accelerate the acquisition of resistance to ciprofloxacin in Neisseria gonorrhoeae reference strain, WHO–F. In a morbidostat, we set two conditions in 3 vials each: mono-exposure (preexposure to Gonococcal Broth followed by exposure to ciprofloxacin) and dual sequential expos
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12

Gopalakrishnan, Vishhvaan, Dena Crozier, Kyle J. Card, et al. "A low-cost, open-source evolutionary bioreactor and its educational use." eLife 11 (November 1, 2022). http://dx.doi.org/10.7554/elife.83067.

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A morbidostat is a bioreactor that uses antibiotics to control the growth of bacteria, making it well-suited for studying the evolution of antibiotic resistance. However, morbidostats are often too expensive to be used in educational settings. Here we present a low-cost morbidostat called the EVolutionary biorEactor (EVE) that can be built by students with minimal engineering and programming experience. We describe how we validated EVE in a real classroom setting by evolving replicate Escherichia coli populations under chloramphenicol challenge, thereby enabling students to learn about bacteri
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13

Zlamal, Jaime E., Semen A. Leyn, Mallika Iyer, et al. "Shared and Unique Evolutionary Trajectories to Ciprofloxacin Resistance in Gram-Negative Bacterial Pathogens." mBio, June 22, 2021. http://dx.doi.org/10.1128/mbio.00987-21.

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The challenge of spreading antibiotic resistance calls for systematic efforts to develop more “irresistible” drugs based on a deeper understanding of dynamics and mechanisms of antibiotic resistance acquisition. To address this challenge, we have established a comparative resistomics approach which combines experimental evolution in a continuous-culturing device, the morbidostat, with ultradeep sequencing of evolving microbial populations to identify evolutionary trajectories (mutations and genome rearrangements) leading to antibiotic resistance over a range of target pathogens.
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14

Leyn, Semen A., Jaime E. Zlamal, Oleg V. Kurnasov, et al. "Experimental evolution in morbidostat reveals converging genomic trajectories on the path to triclosan resistance." Microbial Genomics 7, no. 5 (2021). http://dx.doi.org/10.1099/mgen.0.000553.

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Understanding the dynamics and mechanisms of acquired drug resistance across major classes of antibiotics and bacterial pathogens is of critical importance for the optimization of current anti-infective therapies and the development of novel ones. To systematically address this challenge, we developed a workflow combining experimental evolution in a morbidostat continuous culturing device with deep genomic sequencing of population samples collected in time series. This approach was applied to the experimental evolution of six populations of Escherichia coli BW25113 towards acquiring resistance
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15

Dößelmann, Bianca, Matthias Willmann, Matthias Steglich, et al. "Rapid and Consistent Evolution of Colistin Resistance in Extensively Drug-Resistant Pseudomonas aeruginosa during Morbidostat Culture." Antimicrobial Agents and Chemotherapy 61, no. 9 (2017). http://dx.doi.org/10.1128/aac.00043-17.

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ABSTRACT Colistin is a last-resort antibiotic commonly used against multidrug-resistant strains of Pseudomonas aeruginosa. To investigate the potential for in situ evolution of resistance against colistin and to map the molecular targets of colistin resistance, we exposed two P. aeruginosa isolates to colistin using a continuous-culture device known as a morbidostat. As a result, colistin resistance reproducibly increased 10-fold within 10 days and 100-fold within 20 days, along with highly stereotypic yet strain-specific mutation patterns. The majority of mutations hit the pmrAB two-component
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16

Javed, Mumina, Viola Ueltzhoeffer, Maximilian Heinrich, et al. "Colistin susceptibility test evaluation of multiple-resistance-level Pseudomonas aeruginosa isolates generated in a morbidostat device." Journal of Antimicrobial Chemotherapy, August 22, 2018. http://dx.doi.org/10.1093/jac/dky337.

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17

Liu, Po C., Yi T. Lee, Chun Y. Wang, and Ya-Tang Yang. "Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection." Journal of Visualized Experiments, no. 115 (September 27, 2016). http://dx.doi.org/10.3791/54426.

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18

Javed, Mumina, Benedikt Jentzsch, Maximilian Heinrich, et al. "Transcriptomic Basis of Serum Resistance and Virulence Related Traits in XDR P. aeruginosa Evolved Under Antibiotic Pressure in a Morbidostat Device." Frontiers in Microbiology 11 (January 25, 2021). http://dx.doi.org/10.3389/fmicb.2020.619542.

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Colistin is a last resort antibiotic against the critical status pathogen Pseudomonas aeruginosa. Virulence and related traits such as biofilm formation and serum resistance after exposure to sub-inhibitory levels of colistin have been underexplored. We cultivated P. aeruginosa in a semi-automated morbidostat device with colistin, metronidazole and a combination of the two antibiotics for 21 days, and completed RNA-Seq to uncover the transcriptional changes over time. Strains became resistant to colistin within this time period. Colistin-resistant strains show significantly increased biofilm f
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19

Leyn, Semen A., James E. Kent, Jaime E. Zlamal, Marinela L. Elane, Maarten Vercruysse, and Andrei L. Osterman. "Two classes of DNA gyrase inhibitors elicit distinct evolutionary trajectories toward resistance in gram-negative pathogens." npj Antimicrobials and Resistance 2, no. 1 (2024). http://dx.doi.org/10.1038/s44259-024-00021-y.

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AbstractComprehensive knowledge of mechanisms driving the acquisition of antimicrobial resistance is essential for the development of new drugs with minimized resistibility. To gain this knowledge, we combine experimental evolution in a continuous culturing device, the morbidostat, with whole genome sequencing of evolving cultures followed by characterization of drug-resistant isolates. Here, this approach was used to assess evolutionary dynamics of resistance acquisition against DNA gyrase/topoisomerase TriBE inhibitor GP6 in Escherichia coli and Acinetobacter baumannii. The evolution of GP6
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20

Laumen, Jolein G. E., Christophe Van Dijck, Sheeba S. Manoharan-Basil, et al. "Sub-Inhibitory Concentrations of Chlorhexidine Induce Resistance to Chlorhexidine and Decrease Antibiotic Susceptibility in Neisseria gonorrhoeae." Frontiers in Microbiology 12 (November 25, 2021). http://dx.doi.org/10.3389/fmicb.2021.776909.

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Objectives: Chlorhexidine digluconate (chlorhexidine) and Listerine® mouthwashes are being promoted as alternative treatment options to prevent the emergence of antimicrobial resistance in Neisseria gonorrhoeae. We performed in vitro challenge experiments to assess induction and evolution of resistance to these two mouthwashes and potential cross-resistance to other antimicrobials.Methods: A customized morbidostat was used to subject N. gonorrhoeae reference strain WHO-F to dynamically sustained Listerine® or chlorhexidine pressure for 18 days and 40 days, respectively. Cultures were sampled t
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21

Ekkers, David, dos Santos Filipe Branco, Cyrus Mallon, Frank Bruggeman, and Doorn G. Sander van. "The omnistat: a flexible continuous-culture system for prolonged experimental evolution." Methods in Ecology and Evolution, March 27, 2020. https://doi.org/10.5281/zenodo.3731681.

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22

Bora, Kerem. "Using CO2 Level Monitoring to Adjust the Stress Conditions of Morbidostats." Biotechnology Reports, March 2024, e00836. http://dx.doi.org/10.1016/j.btre.2024.e00836.

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