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Fumasoni M, Murray AW. Correction: Ploidy and recombination proficiency shape the evolutionary adaptation to constitutive DNA replication stress. PLoS Genet 2023; 19:e1010864. [PMID: 37506074 PMCID: PMC10381068 DOI: 10.1371/journal.pgen.1010864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/30/2023] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pgen.1009875.].
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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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Johnson MS, Reddy G, Desai MM. Epistasis and evolution: recent advances and an outlook for prediction. BMC Biol 2023; 21:120. [PMID: 37226182 PMCID: PMC10206586 DOI: 10.1186/s12915-023-01585-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 03/30/2023] [Indexed: 05/26/2023] Open
Abstract
As organisms evolve, the effects of mutations change as a result of epistatic interactions with other mutations accumulated along the line of descent. This can lead to shifts in adaptability or robustness that ultimately shape subsequent evolution. Here, we review recent advances in measuring, modeling, and predicting epistasis along evolutionary trajectories, both in microbial cells and single proteins. We focus on simple patterns of global epistasis that emerge in this data, in which the effects of mutations can be predicted by a small number of variables. The emergence of these patterns offers promise for efforts to model epistasis and predict evolution.
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Affiliation(s)
- Milo S Johnson
- Department of Integrative Biology, University of California, Berkeley, CA, USA
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Gautam Reddy
- Physics & Informatics Laboratories, NTT Research, Inc., Sunnyvale, CA, USA
- Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Michael M Desai
- Department of Organismic and Evolutionary Biology and Department of Physics, Harvard University, Cambridge, MA, USA.
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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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Natalino M, Fumasoni M. Experimental approaches to study evolutionary cell biology using yeasts. Yeast 2023; 40:123-133. [PMID: 36896914 DOI: 10.1002/yea.3848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 02/16/2023] [Accepted: 03/07/2023] [Indexed: 03/11/2023] Open
Abstract
The past century has witnessed tremendous advances in understanding how cells function. Nevertheless, how cellular processes have evolved is still poorly understood. Many studies have highlighted surprising molecular diversity in how cells from diverse species execute the same processes, and advances in comparative genomics are likely to reveal much more molecular diversity than was believed possible until recently. Extant cells remain therefore the product of an evolutionary history that we vastly ignore. Evolutionary cell biology has emerged as a discipline aiming to address this knowledge gap by combining evolutionary, molecular, and cellular biology thinking. Recent studies have shown how even essential molecular processes, such as DNA replication, can undergo fast adaptive evolution under certain laboratory conditions. These developments open new lines of research where the evolution of cellular processes can be investigated experimentally. Yeasts naturally find themselves at the forefront of this research line. Not only do they allow the observation of fast evolutionary adaptation, but they also provide numerous genomic, synthetic, and cellular biology tools already developed by a large community. Here we propose that yeasts can serve as an "evolutionary cell lab" to test hypotheses, principles, and ideas in evolutionary cell biology. We discuss various experimental approaches available for this purpose, and how biology at large can benefit from them.
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Mattingly M, Seidel C, Muñoz S, Hao Y, Zhang Y, Wen Z, Florens L, Uhlmann F, Gerton JL. Mediator recruits the cohesin loader Scc2 to RNA Pol II-transcribed genes and promotes sister chromatid cohesion. Curr Biol 2022; 32:2884-2896.e6. [PMID: 35654035 PMCID: PMC9286023 DOI: 10.1016/j.cub.2022.05.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 04/07/2022] [Accepted: 05/09/2022] [Indexed: 11/25/2022]
Abstract
The ring-like cohesin complex plays an essential role in chromosome segregation, organization, and double-strand break repair through its ability to bring two DNA double helices together. Scc2 (NIPBL in humans) together with Scc4 functions as the loader of cohesin onto chromosomes. Chromatin adapters such as the RSC complex facilitate the localization of the Scc2-Scc4 cohesin loader. Here, we identify a broad range of Scc2-chromatin protein interactions that are evolutionarily conserved and reveal a role for one complex, Mediator, in the recruitment of the cohesin loader. We identified budding yeast Med14, a subunit of the Mediator complex, as a high copy suppressor of poor growth in Scc2 mutant strains. Physical and genetic interactions between Scc2 and Mediator are functionally substantiated in direct recruitment and cohesion assays. Depletion of Med14 results in defective sister chromatid cohesion and the decreased binding of Scc2 at RNA Pol II-transcribed genes. Previous work has suggested that Mediator, Nipbl, and cohesin connect enhancers and promoters of active mammalian genes. Our studies suggest an evolutionarily conserved fundamental role for Mediator in the direct recruitment of Scc2 to RNA Pol II-transcribed genes.
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Affiliation(s)
- Mark Mattingly
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
| | - Chris Seidel
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
| | - Sofía Muñoz
- Chromosome Segregation Laboratory, The Francis Crick Institute, London NW1 1AT, UK
| | - Yan Hao
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
| | - Ying Zhang
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
| | - Zhihui Wen
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
| | - Laurence Florens
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
| | - Frank Uhlmann
- Chromosome Segregation Laboratory, The Francis Crick Institute, London NW1 1AT, UK
| | - Jennifer L Gerton
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA; Department of Biochemistry and Molecular Biology, University of Kansas Medical Center, Kansas City, KS 66160, USA.
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