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      Phenotypic memory in Bacillus subtilis links dormancy entry and exit by a spore quantity-quality tradeoff

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          Abstract

          Some bacteria, such as Bacillus subtilis, withstand starvation by forming dormant spores that revive when nutrients become available. Although sporulation and spore revival jointly determine survival in fluctuating environments, the relationship between them has been unclear. Here we show that these two processes are linked by a phenotypic “memory” that arises from a carry-over of molecules from the vegetative cell into the spore. By imaging life histories of individual B. subtilis cells using fluorescent reporters, we demonstrate that sporulation timing controls nutrient-induced spore revival. Alanine dehydrogenase contributes to spore memory and controls alanine-induced outgrowth, thereby coupling a spore’s revival capacity to the gene expression and growth history of its progenitors. A theoretical analysis, and experiments with signaling mutants exhibiting altered sporulation timing, support the hypothesis that such an intrinsically generated memory leads to a tradeoff between spore quantity and spore quality, which could drive the emergence of complex microbial traits.

          Abstract

          Bacillus subtilis withstands starvation by forming dormant spores that revive when nutrients become available. Here, Mutlu et al. show that sporulation timing controls spore revival through a phenotypic ‘memory’ that arises from the carry-over of a metabolic enzyme from the vegetative cell into the spore.

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          Bistability, epigenetics, and bet-hedging in bacteria.

          Clonal populations of microbial cells often show a high degree of phenotypic variability under homogeneous conditions. Stochastic fluctuations in the cellular components that determine cellular states can cause two distinct subpopulations, a property called bistability. Phenotypic heterogeneity can be readily obtained by interlinking multiple gene regulatory pathways, effectively resulting in a genetic logic-AND gate. Although switching between states can occur within the cells' lifetime, cells can also pass their cellular state over to the next generation by a mechanism known as epigenetic inheritance and thus perpetuate the phenotypic state. Importantly, heterogeneous populations can demonstrate increased fitness compared with homogeneous populations. This suggests that microbial cells employ bet-hedging strategies to maximize survival. Here, we discuss the possible roles of interlinked bistable networks, epigenetic inheritance, and bet-hedging in bacteria.
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            A functional perspective on phenotypic heterogeneity in microorganisms.

            Most microbial communities consist of a genetically diverse assembly of different organisms, and the level of genetic diversity plays an important part in community properties and functions. However, biological diversity also arises at a lower level of biological organization, between genetically identical cells that reside in the same microenvironment. In this Review, I outline the molecular mechanisms responsible for phenotypic heterogeneity and discuss how phenotypic heterogeneity allows genotypes to persist in fluctuating environments. I also describe how it promotes interactions between phenotypic subpopulations in clonal groups, providing microbial groups with new functionality.
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              A comparative study of seed number, seed size, seedling size and recruitment in grassland plants

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                Author and article information

                Contributors
                +49 6221 54 51365 , ilka.bischofs@mpi-marburg.mpg.de
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                4 January 2018
                4 January 2018
                2018
                : 9
                : 69
                Affiliations
                [1 ]ISNI 0000 0001 2190 4373, GRID grid.7700.0, BioQuant Center of the University of Heidelberg, ; 69120 Heidelberg, Germany
                [2 ]ISNI 0000 0001 2190 4373, GRID grid.7700.0, Center for Molecular Biology (ZMBH), , University of Heidelberg, ; 69120 Heidelberg, Germany
                [3 ]ISNI 0000 0004 0491 8361, GRID grid.419554.8, Max-Planck-Institute for Terrestrial Microbiology, ; 35043 Marburg, Germany
                [4 ]Institute of Pharmacy and Molecular Biotechnology (IPMB), 69120 Heidelberg, Germany
                [5 ]ISNI 0000 0004 0492 0584, GRID grid.7497.d, Department of Bioinformatics and Functional Genomics, , German Cancer Research Center (DKFZ), ; 69120 Heidelberg, Germany
                [6 ]ISNI 0000 0004 0492 0584, GRID grid.7497.d, Division of Theoretical Systems Biology, , German Cancer Research Center (DKFZ), ; 69120 Heidelberg, Germany
                Article
                2477
                10.1038/s41467-017-02477-1
                5754360
                29302032
                4f2568b2-eccf-4d65-93e7-695446e06608
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 18 November 2016
                : 4 December 2017
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