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Krajewska J, Tyski S, Laudy AE. In Vitro Resistance-Predicting Studies and In Vitro Resistance-Related Parameters-A Hit-to-Lead Perspective. Pharmaceuticals (Basel) 2024; 17:1068. [PMID: 39204172 PMCID: PMC11357384 DOI: 10.3390/ph17081068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Revised: 08/10/2024] [Accepted: 08/12/2024] [Indexed: 09/03/2024] Open
Abstract
Despite the urgent need for new antibiotics, very few innovative antibiotics have recently entered clinics or clinical trials. To provide a constant supply of new drug candidates optimized in terms of their potential to select for resistance in natural settings, in vitro resistance-predicting studies need to be improved and scaled up. In this review, the following in vitro parameters are presented: frequency of spontaneous mutant selection (FSMS), mutant prevention concentration (MPC), dominant mutant prevention concentration (MPC-D), inferior-mutant prevention concentration (MPC-F), and minimal selective concentration (MSC). The utility of various adaptive laboratory evolution (ALE) approaches (serial transfer, continuous culture, and evolution in spatiotemporal microenvironments) for comparing hits in terms of the level and time required for multistep resistance to emerge is discussed. We also consider how the hit-to-lead stage can benefit from high-throughput ALE setups based on robotic workstations, do-it-yourself (DIY) continuous cultivation systems, microbial evolution and growth arena (MEGA) plates, soft agar gradient evolution (SAGE) plates, microfluidic chips, or microdroplet technology. Finally, approaches for evaluating the fitness of in vitro-generated resistant mutants are presented. This review aims to draw attention to newly emerged ideas on how to improve the in vitro forecasting of the potential of compounds to select for resistance in natural settings.
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Affiliation(s)
- Joanna Krajewska
- Department of Environmental Health and Safety, National Institute of Public Health NIH—National Research Institute, 00-791 Warsaw, Poland;
| | - Stefan Tyski
- Department of Pharmaceutical Microbiology and Laboratory Diagnostic, National Medicines Institute, 00-725 Warsaw, Poland;
| | - Agnieszka E. Laudy
- Department of Pharmaceutical Microbiology and Bioanalysis, Medical University of Warsaw, 02-097 Warsaw, Poland
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García-Ruano D, Jain A, Heins ZJ, Wong BG, Yimer Wolle E, Khalil AS, Coudreuse D. Long-term evolution of proliferating cells using the eVOLVER platform. Open Biol 2023; 13:230118. [PMID: 37491941 PMCID: PMC10369027 DOI: 10.1098/rsob.230118] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 06/28/2023] [Indexed: 07/27/2023] Open
Abstract
Experimental evolution using fast-growing unicellular organisms is a unique strategy for deciphering the principles and mechanisms underlying evolutionary processes as well as the architecture and wiring of basic biological functions. Over the past decade, this approach has benefited from the development of powerful systems for the continuous control of the growth of independently evolving cultures. While the first devices compatible with multiplexed experimental evolution remained challenging to implement and required constant user intervention, the recently developed eVOLVER framework represents a fully automated closed-loop system for laboratory evolution assays. However, it remained difficult to maintain and compare parallel evolving cultures in tightly controlled environments over long periods of time using eVOLVER. Furthermore, a number of tools were lacking to cope with the various issues that inevitably occur when conducting such long-term assays. Here we present a significant upgrade of the eVOLVER framework, providing major modifications of the experimental methodology, hardware and software as well as a new stand-alone protocol. Altogether, these adaptations and improvements make the eVOLVER a versatile and unparalleled set-up for long-term experimental evolution.
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Affiliation(s)
- Daniel García-Ruano
- Institute of Genetics and Development of Rennes, CNRS UMR 6290 – University of Rennes 1, Rennes, France
- Institute of Biochemistry and Cellular Genetics, CNRS UMR 5095, Bordeaux, France
| | - Akanksha Jain
- Institute of Genetics and Development of Rennes, CNRS UMR 6290 – University of Rennes 1, Rennes, France
- Institute of Biochemistry and Cellular Genetics, CNRS UMR 5095, Bordeaux, France
| | - Zachary J. Heins
- Department of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA
| | - Brandon G. Wong
- Department of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA
| | - Ezira Yimer Wolle
- Department of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA
| | - Ahmad S. Khalil
- Department of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, USA
| | - Damien Coudreuse
- Institute of Genetics and Development of Rennes, CNRS UMR 6290 – University of Rennes 1, Rennes, France
- Institute of Biochemistry and Cellular Genetics, CNRS UMR 5095, Bordeaux, France
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3
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Garc A-Ruano D, Jain A, Heins ZJ, Wong BG, Wolle EY, Khalil AS, Coudreuse D. Long-term evolution of proliferating cells using the eVOLVER platform. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.28.534552. [PMID: 37034650 PMCID: PMC10081182 DOI: 10.1101/2023.03.28.534552] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
Experimental evolution using fast-growing unicellular organisms is a unique strategy for deciphering the principles and mechanisms underlying evolutionary processes as well as the architecture and wiring of basic biological functions. Over the past decade, this approach has benefited from the development of powerful systems for the continuous control of the growth of independently evolving cultures. While the first devices compatible with multiplexed experimental evolution remained challenging to implement and required constant user intervention, the recently-developed eVOLVER framework represents a fully automated closed-loop system for laboratory evolution assays. However, it remained difficult to maintain and compare parallel evolving cultures in tightly controlled environments over long periods of time using eVOLVER. Furthermore, a number of tools were lacking to cope with the various issues that inevitably occur when conducting such long-term assays. Here we present a significant upgrade of the eVOLVER framework, providing major modifications of the experimental methodology, hardware and software as well as a new standalone protocol. Altogether, these adaptations and improvements make the eVOLVER a versatile and unparalleled setup for long-term experimental evolution.
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The developing toolkit of continuous directed evolution. Nat Chem Biol 2020; 16:610-619. [DOI: 10.1038/s41589-020-0532-y] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 03/27/2020] [Indexed: 12/14/2022]
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Tan ZL, Zheng X, Wu Y, Jian X, Xing X, Zhang C. In vivo continuous evolution of metabolic pathways for chemical production. Microb Cell Fact 2019; 18:82. [PMID: 31088458 PMCID: PMC6518619 DOI: 10.1186/s12934-019-1132-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 05/04/2019] [Indexed: 01/07/2023] Open
Abstract
Microorganisms have long been used as chemical plant to convert simple substrates into complex molecules. Various metabolic pathways have been optimised over the past few decades, but the progresses were limited due to our finite knowledge on metabolism. Evolution is a knowledge-free genetic randomisation approach, employed to improve the chemical production in microbial cell factories. However, evolution of large, complex pathway was a great challenge. The invention of continuous culturing systems and in vivo genetic diversification technologies have changed the way how laboratory evolution is conducted, render optimisation of large, complex pathway possible. In vivo genetic diversification, phenotypic selection, and continuous cultivation are the key elements in in vivo continuous evolution, where any human intervention in the process is prohibited. This approach is crucial in highly efficient evolution strategy of metabolic pathway evolution.
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Affiliation(s)
- Zheng Lin Tan
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084 China
- School of Life Science and Technology, Tokyo Institute of Technology, Yokohama City, Kanagawa Prefecture, 226-8503 Japan
- Laboratory of Future Interdisciplinary Research and Science Technology, Tokyo Institute of Technology, Yokohama City, Kanagawa Prefecture, 226-8503 Japan
| | - Xiang Zheng
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084 China
| | - Yinan Wu
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084 China
| | - Xingjin Jian
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084 China
| | - Xinhui Xing
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084 China
- Center for Synthetic and Systems Biology, Tsinghua University, Beijing, 100084 China
| | - Chong Zhang
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084 China
- Center for Synthetic and Systems Biology, Tsinghua University, Beijing, 100084 China
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6
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Price CE, Branco Dos Santos F, Hesseling A, Uusitalo JJ, Bachmann H, Benavente V, Goel A, Berkhout J, Bruggeman FJ, Marrink SJ, Montalban-Lopez M, de Jong A, Kok J, Molenaar D, Poolman B, Teusink B, Kuipers OP. Adaption to glucose limitation is modulated by the pleotropic regulator CcpA, independent of selection pressure strength. BMC Evol Biol 2019; 19:15. [PMID: 30630406 PMCID: PMC6327505 DOI: 10.1186/s12862-018-1331-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Accepted: 12/14/2018] [Indexed: 11/23/2022] Open
Abstract
Background A central theme in (micro)biology is understanding the molecular basis of fitness i.e. which strategies are successful under which conditions; how do organisms implement such strategies at the molecular level; and which constraints shape the trade-offs between alternative strategies. Highly standardized microbial laboratory evolution experiments are ideally suited to approach these questions. For example, prolonged chemostats provide a constant environment in which the growth rate can be set, and the adaptive process of the organism to such environment can be subsequently characterized. Results We performed parallel laboratory evolution of Lactococcus lactis in chemostats varying the quantitative value of the selective pressure by imposing two different growth rates. A mutation in one specific amino acid residue of the global transcriptional regulator of carbon metabolism, CcpA, was selected in all of the evolution experiments performed. We subsequently showed that this mutation confers predictable fitness improvements at other glucose-limited growth rates as well. In silico protein structural analysis of wild type and evolved CcpA, as well as biochemical and phenotypic assays, provided the underpinning molecular mechanisms that resulted in the specific reprogramming favored in constant environments. Conclusion This study provides a comprehensive understanding of a case of microbial evolution and hints at the wide dynamic range that a single fitness-enhancing mutation may display. It demonstrates how the modulation of a pleiotropic regulator can be used by cells to improve one trait while simultaneously work around other limiting constraints, by fine-tuning the expression of a wide range of cellular processes. Electronic supplementary material The online version of this article (10.1186/s12862-018-1331-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Claire E Price
- Molecular Genetics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands.,Department of Biochemistry, University of Groningen, Nijenborgh 4, 9747 AG, Groningen, The Netherlands.,Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands.,Present address: DSM Biotechnology Centre, Alexander Fleminglaan 1, 2613 AX, Delft, The Netherlands
| | - Filipe Branco Dos Santos
- Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands.,Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.,Molecular Microbial Physiology Group, Faculty of Life Science, Swammerdam Institute of Life Sciences, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, Netherlands
| | - Anne Hesseling
- Molecular Genetics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands
| | - Jaakko J Uusitalo
- Molecular Dynamics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands
| | - Herwig Bachmann
- Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands.,Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
| | - Vera Benavente
- Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
| | - Anisha Goel
- Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands.,Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.,Present address: Chr. Hansen, Boege Allé 10-12, 2970, Hoersholm, Denmark
| | - Jan Berkhout
- Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
| | - Frank J Bruggeman
- Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
| | - Siewert-Jan Marrink
- Molecular Dynamics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands
| | - Manolo Montalban-Lopez
- Molecular Genetics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands
| | - Anne de Jong
- Molecular Genetics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands
| | - Jan Kok
- Molecular Genetics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands
| | - Douwe Molenaar
- Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands.,Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
| | - Bert Poolman
- Department of Biochemistry, University of Groningen, Nijenborgh 4, 9747 AG, Groningen, The Netherlands
| | - Bas Teusink
- Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands. .,Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
| | - Oscar P Kuipers
- Molecular Genetics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands. .,Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands.
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7
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d’Oelsnitz S, Ellington A. Continuous directed evolution for strain and protein engineering. Curr Opin Biotechnol 2018; 53:158-163. [DOI: 10.1016/j.copbio.2017.12.020] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 12/18/2017] [Accepted: 12/19/2017] [Indexed: 10/18/2022]
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Skelding D, Hart SFM, Vidyasagar T, Pozhitkov AE, Shou W. Developing a low-cost milliliter-scale chemostat array for precise control of cellular growth. QUANTITATIVE BIOLOGY 2018; 6:129-141. [PMID: 31598380 DOI: 10.1007/s40484-018-0143-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Background Multiplexed milliliter-scale chemostats are useful for measuring cell physiology under various degrees of nutrient limitation and for carrying out evolution experiments. In each chemostat, fresh medium containing a growth rate-limiting metabolite is pumped into the culturing chamber at a constant rate, while culture effluent exits at an equal rate. Although such devices have been developed by various labs, key parameters - the accuracy, precision, and operational range of flow rate - are not explicitly characterized. Methods Here we re-purpose a published multiplexed culturing device to develop a multiplexed milliliter-scale chemostat. Flow rates for eight chambers can be independently controlled to a wide range, corresponding to population doubling times of 3~13 h, without the use of expensive feedback systems. Results Flow rates are precise, with the maximal coefficient of variation among eight chambers being less than 3%. Flow rates are accurate, with average flow rates being only slightly below targets, i.e., 3%-6% for 13-h and 0.6%-1.0% for 3-h doubling times. This deficit is largely due to evaporation and should be correctable. We experimentally demonstrate that our device allows accurate and precise quantification of population phenotypes. Conclusions We achieve precise control of cellular growth in a low-cost milliliter-scale chemostat array, and show that the achieved precision reduces the error when measuring biological processes.
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Affiliation(s)
- David Skelding
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Samuel F M Hart
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | | | - Alexander E Pozhitkov
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Wenying Shou
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
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9
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Callens C, Coelho NC, Miller AW, Sananes MRD, Dunham MJ, Denoual M, Coudreuse D. A multiplex culture system for the long-term growth of fission yeast cells. Yeast 2017; 34:343-355. [PMID: 28426144 PMCID: PMC5542872 DOI: 10.1002/yea.3237] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 04/08/2017] [Accepted: 04/10/2017] [Indexed: 12/26/2022] Open
Abstract
Maintenance of long‐term cultures of yeast cells is central to a broad range of investigations, from metabolic studies to laboratory evolution assays. However, repeated dilutions of batch cultures lead to variations in medium composition, with implications for cell physiology. In Saccharomyces cerevisiae, powerful miniaturized chemostat setups, or ministat arrays, have been shown to allow for constant dilution of multiple independent cultures. Here we set out to adapt these arrays for continuous culture of a morphologically and physiologically distinct yeast, the fission yeast Schizosaccharomyces pombe, with the goal of maintaining constant population density over time. First, we demonstrated that the original ministats are incompatible with growing fission yeast for more than a few generations, prompting us to modify different aspects of the system design. Next, we identified critical parameters for sustaining unbiased vegetative growth in these conditions. This requires deletion of the gsf2 flocculin‐encoding gene, along with addition of galactose to the medium and lowering of the culture temperature. Importantly, we improved the flexibility of the ministats by developing a piezo‐pump module for the independent regulation of the dilution rate of each culture. This made it possible to easily grow strains that have different generation times in the same assay. Our system therefore allows for maintaining multiple fission yeast cultures in exponential growth, adapting the dilution of each culture over time to keep constant population density for hundreds of generations. These multiplex culture systems open the door to a new range of long‐term experiments using this model organism. © 2017 The Authors. Yeast published by John Wiley & Sons, Ltd.
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Affiliation(s)
- Céline Callens
- SyntheCell Team, Institute of Genetics and Development of Rennes, CNRS UMR 6290, Rennes, France
| | - Nelson C Coelho
- SyntheCell Team, Institute of Genetics and Development of Rennes, CNRS UMR 6290, Rennes, France
| | - Aaron W Miller
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | | | - Maitreya J Dunham
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Matthieu Denoual
- Ecole National Supérieure d'Ingénieurs de Caen, UMR 6072 - GREYC, Caen, France
| | - Damien Coudreuse
- SyntheCell Team, Institute of Genetics and Development of Rennes, CNRS UMR 6290, Rennes, France
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