Literature DB >> 31180805

Responses of Microorganisms to Osmotic Stress.

Erhard Bremer1, Reinhard Krämer2.   

Abstract

The cytoplasm of bacterial cells is a highly crowded cellular compartment that possesses considerable osmotic potential. As a result, and owing to the semipermeable nature of the cytoplasmic membrane and the semielastic properties of the cell wall, osmotically driven water influx will generate turgor, a hydrostatic pressure considered critical for growth and viability. Both increases and decreases in the external osmolarity inevitably trigger water fluxes across the cytoplasmic membrane, thus impinging on the degree of cellular hydration, molecular crowding, magnitude of turgor, and cellular integrity. Here, we assess mechanisms that permit the perception of osmotic stress by bacterial cells and provide an overview of the systems that allow them to genetically and physiologically cope with this ubiquitous environmental cue. We highlight recent developments implicating the secondary messenger c-di-AMP in cellular adjustment to osmotic stress and the role of osmotic forces in the life of bacteria-assembled in biofilms.

Entities:  

Keywords:  biofilms; c-di-AMP; osmoprotectants; osmoregulation; osmosensing; transporters and channels

Mesh:

Year:  2019        PMID: 31180805     DOI: 10.1146/annurev-micro-020518-115504

Source DB:  PubMed          Journal:  Annu Rev Microbiol        ISSN: 0066-4227            Impact factor:   15.500


  47 in total

Review 1.  A decade of research on the second messenger c-di-AMP.

Authors:  Wen Yin; Xia Cai; Hongdan Ma; Li Zhu; Yuling Zhang; Shan-Ho Chou; Michael Y Galperin; Jin He
Journal:  FEMS Microbiol Rev       Date:  2020-11-24       Impact factor: 16.408

2.  Degradation of the microbial stress protectants and chemical chaperones ectoine and hydroxyectoine by a bacterial hydrolase-deacetylase complex.

Authors:  Christopher-Nils Mais; Lucas Hermann; Florian Altegoer; Andreas Seubert; Alexandra A Richter; Isa Wernersbach; Laura Czech; Erhard Bremer; Gert Bange
Journal:  J Biol Chem       Date:  2020-05-13       Impact factor: 5.157

3.  Two Ways To Convert a Low-Affinity Potassium Channel to High Affinity: Control of Bacillus subtilis KtrCD by Glutamate.

Authors:  Larissa Krüger; Christina Herzberg; Robert Warneke; Anja Poehlein; Janina Stautz; Martin Weiß; Rolf Daniel; Inga Hänelt; Jörg Stülke
Journal:  J Bacteriol       Date:  2020-05-27       Impact factor: 3.490

4.  The Spectrum of Spontaneous Rifampin Resistance Mutations in the Bacillus subtilis rpoB Gene Depends on the Growth Environment.

Authors:  Joss D Leehan; Wayne L Nicholson
Journal:  Appl Environ Microbiol       Date:  2021-09-08       Impact factor: 4.792

5.  The c-di-AMP signaling system influences stress tolerance and biofilm formation of Streptococcus mitis.

Authors:  Gro Herredsvela Rørvik; Ali-Oddin Naemi; Per Kristian Thorén Edvardsen; Roger Simm
Journal:  Microbiologyopen       Date:  2021-08       Impact factor: 3.139

6.  Schumannella soli sp. nov., a novel actinomycete isolated from mangrove soil by in situ cultivation.

Authors:  Feina Li; Qinpei Lu; Shuilin Liao; Li Tuo; Shaowei Liu; Qin Yang; Adong Shen; Chenghang Sun
Journal:  Antonie Van Leeuwenhoek       Date:  2021-08-02       Impact factor: 2.271

7.  c-di-AMP Accumulation Impairs Muropeptide Synthesis in Listeria monocytogenes.

Authors:  Steven M Massa; Amar Deep Sharma; Cheta Siletti; Zepeng Tu; Jared J Godfrey; William G Gutheil; TuAnh N Huynh
Journal:  J Bacteriol       Date:  2020-11-19       Impact factor: 3.490

8.  The architecture of the diaminobutyrate acetyltransferase active site provides mechanistic insight into the biosynthesis of the chemical chaperone ectoine.

Authors:  Alexandra A Richter; Stefanie Kobus; Laura Czech; Astrid Hoeppner; Jan Zarzycki; Tobias J Erb; Lukas Lauterbach; Jeroen S Dickschat; Erhard Bremer; Sander H J Smits
Journal:  J Biol Chem       Date:  2020-01-22       Impact factor: 5.157

9.  c-di-AMP assists osmoadaptation by regulating the Listeria monocytogenes potassium transporters KimA and KtrCD.

Authors:  Johannes Gibhardt; Gregor Hoffmann; Asan Turdiev; Mengyi Wang; Vincent T Lee; Fabian M Commichau
Journal:  J Biol Chem       Date:  2019-09-09       Impact factor: 5.157

10.  Pathogenic potential assessment of the Shiga toxin-producing Escherichia coli by a source attribution-considered machine learning model.

Authors:  Hanhyeok Im; Seung-Ho Hwang; Byoung Sik Kim; Sang Ho Choi
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-18       Impact factor: 11.205

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