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      The reproduction of gram-negative protoplasts and the influence of environmental conditions on this process

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          Summary

          Bacterial protoplasts are known to reproduce independently of canonical molecular biological processes. Although their reproduction is thought to be influenced by environmental conditions, the growth of protoplasts in their natural habitat has never been empirically studied. Here, we studied the life cycle of protoplasts in their native environment. Contrary to the previous perception that protoplasts reproduce in an erratic manner, cells in our study reproduced in a defined sequence of steps, always leading to viable daughter cells. Their reproduction can be explained by an interplay between intracellular metabolism, the physicochemical properties of cell constituents, and the nature of cations in the growth media. The efficiency of reproduction is determined by the environmental conditions. Under favorable environmental conditions, protoplasts reproduce with nearly similar efficiency to cells that possess a cell wall. In short, here we demonstrate the simplest method of cellular reproduction and the influence of environmental conditions on this process.

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          Highlights

          • Here, we studied protoplast reproduction in their native hypersaline habitat

          • We demonstrate the influence of environmental conditions on protoplast reproduction

          • Protoplasts reproduce efficiently if the environmental conditions are favorable

          Abstract

          Microbiology; Evolutionary biology; Cell biology

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          Most cited references65

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          Stochasticity in gene expression: from theories to phenotypes.

          Genetically identical cells exposed to the same environmental conditions can show significant variation in molecular content and marked differences in phenotypic characteristics. This variability is linked to stochasticity in gene expression, which is generally viewed as having detrimental effects on cellular function with potential implications for disease. However, stochasticity in gene expression can also be advantageous. It can provide the flexibility needed by cells to adapt to fluctuating environments or respond to sudden stresses, and a mechanism by which population heterogeneity can be established during cellular differentiation and development.
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            Peptidoglycan structure and architecture.

            The peptidoglycan (murein) sacculus is a unique and essential structural element in the cell wall of most bacteria. Made of glycan strands cross-linked by short peptides, the sacculus forms a closed, bag-shaped structure surrounding the cytoplasmic membrane. There is a high diversity in the composition and sequence of the peptides in the peptidoglycan from different species. Furthermore, in several species examined, the fine structure of the peptidoglycan significantly varies with the growth conditions. Limited number of biophysical data on the thickness, elasticity and porosity of peptidoglycan are available. The different models for the architecture of peptidoglycan are discussed with respect to structural and physical parameters.
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              Stochastic gene expression in a single cell.

              Clonal populations of cells exhibit substantial phenotypic variation. Such heterogeneity can be essential for many biological processes and is conjectured to arise from stochasticity, or noise, in gene expression. We constructed strains of Escherichia coli that enable detection of noise and discrimination between the two mechanisms by which it is generated. Both stochasticity inherent in the biochemical process of gene expression (intrinsic noise) and fluctuations in other cellular components (extrinsic noise) contribute substantially to overall variation. Transcription rate, regulatory dynamics, and genetic factors control the amplitude of noise. These results establish a quantitative foundation for modeling noise in genetic networks and reveal how low intracellular copy numbers of molecules can fundamentally limit the precision of gene regulation.
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                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                06 October 2023
                17 November 2023
                06 October 2023
                : 26
                : 11
                : 108149
                Affiliations
                [1 ]Max-Planck Institute for Biochemistry, Munich, Germany
                [2 ]Chair of Ecological Microbiology, BayCeer, University of Bayreuth, Bayreuth, Germany
                [3 ]Excellence Cluster ORIGINS, Garching, Germany
                [4 ]Advanced Light Microscopy Facility, European Molecular Biology Laboratory, Heidelberg, Germany
                [5 ]Key Laboratory of Agro-ecological Processes in Subtropical Regions, CAS, Changsha, China
                [6 ]Department of Biology, LMU, Planegg-Martinsried, Germany
                Author notes
                []Corresponding author kanaparthi@ 123456biochem.mpg.de
                [∗∗ ]Corresponding author tillmann.lueders@ 123456uni-bayreuth.de
                [7]

                Lead contact

                Article
                S2589-0042(23)02226-5 108149
                10.1016/j.isci.2023.108149
                10628739
                37942012
                7ce60386-e396-461c-87cb-b8c2594dd39d
                © 2023 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 22 November 2022
                : 31 January 2023
                : 2 October 2023
                Categories
                Article

                microbiology,evolutionary biology,cell biology
                microbiology, evolutionary biology, cell biology

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