Review
- [MINIREVIEW]Bacterial bug-out bags: outer membrane vesicles and their proteins and functions
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Kesavan Dineshkumar , Vasudevan Aparna , Liang Wu , Jie Wan , Mohamod Hamed Abdelaziz , Zhaoliang Su , Shengjun Wang , Huaxi Xu
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J. Microbiol. 2020;58(7):531-542. Published online June 10, 2020
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DOI: https://doi.org/10.1007/s12275-020-0026-3
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Abstract
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Among the major bacterial secretions, outer membrane vesicles
(OMVs) are significant and highly functional. The proteins
and other biomolecules identified within OMVs provide
new insights into the possible functions of OMVs in bacteria.
OMVs are rich in proteins, nucleic acids, toxins and
virulence factors that play a critical role in bacteria-host interactions.
In this review, we discuss some proteins with multifunctional
features from bacterial OMVs and their role
involving the mechanisms of bacterial survival and defence.
Proteins with moonlighting activities in OMVs are discussed
based on their functions in bacteria. OMVs harbour many
other proteins that are important, such as proteins involved
in virulence, defence, and competition. Overall, OMVs are a
power-packed aid for bacteria, harbouring many defensive
and moonlighting proteins and acting as a survival kit in
case
of an emergency or as a defence weapon. In summary,
OMVs can be defined as bug-out bags for bacterial defence
and, therefore, survival.
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Citations
Citations to this article as recorded by

- Bacterial membrane vesicles in the pathogenesis and treatment of inflammatory bowel disease
Chinasa Valerie Olovo, Dickson Kofi Wiredu Ocansey, Ying Ji, Xinxiang Huang, Min Xu
Gut Microbes.2024;[Epub] CrossRef - Glycosylphosphatidylinositol-anchored proteins as non- DNA matter of inheritance: from molecular to cell to philosophical biology
Günter Müller
Academia Molecular Biology and Genomics.2024;[Epub] CrossRef - Microbe-host interactions: structure and functions of Gram-negative bacterial membrane vesicles
Min Xiao, Guiding Li, Hefeng Yang
Frontiers in Microbiology.2023;[Epub] CrossRef - Wild Wheat Rhizosphere-Associated Plant Growth-Promoting Bacteria Exudates: Effect on Root Development in Modern Wheat and Composition
Houssein Zhour, Fabrice Bray, Israa Dandache, Guillaume Marti, Stéphanie Flament, Amélie Perez, Maëlle Lis, Llorenç Cabrera-Bosquet, Thibaut Perez, Cécile Fizames, Ezekiel Baudoin, Ikram Madani, Loubna El Zein, Anne-Aliénor Véry, Christian Rolando, Hervé
International Journal of Molecular Sciences.2022; 23(23): 15248. CrossRef - Tiny but mighty: Possible roles of bacterial extracellular vesicles in gut‐liver crosstalk for non‐alcoholic fatty liver disease
Li Shao, Junping Shi, Xiaohui Fan
Clinical and Translational Discovery.2022;[Epub] CrossRef - Extracellular membrane vesicles from Limosilactobacillus reuteri strengthen the intestinal epithelial integrity, modulate cytokine responses and antagonize activation of TRPV1
Yanhong Pang, Ludwig Ermann Lundberg, Manuel Mata Forsberg, David Ahl, Helena Bysell, Anton Pallin, Eva Sverremark-Ekström, Roger Karlsson, Hans Jonsson, Stefan Roos
Frontiers in Microbiology.2022;[Epub] CrossRef - Streptomyces coelicolor Vesicles: Many Molecules To Be Delivered
Teresa Faddetta, Giovanni Renzone, Alberto Vassallo, Emilio Rimini, Giorgio Nasillo, Gianpiero Buscarino, Simonpietro Agnello, Mariano Licciardi, Luigi Botta, Andrea Scaloni, Antonio Palumbo Piccionello, Anna Maria Puglia, Giuseppe Gallo, Gladys Alexandre
Applied and Environmental Microbiology.2022;[Epub] CrossRef - Novel devices for isolation and detection of bacterial and mammalian extracellular vesicles
Shiana Malhotra, Zarinah M. Amin, Garima Dobhal, Sophie Cottam, Thomas Nann, Renee V. Goreham
Microchimica Acta.2021;[Epub] CrossRef - Tracing the origins of extracellular DNA in bacterial biofilms: story of death and predation to community benefit
Davide Campoccia, Lucio Montanaro, Carla Renata Arciola
Biofouling.2021; 37(9-10): 1022. CrossRef - The Rcs stress response inversely controls surface and CRISPR–Cas adaptive immunity to discriminate plasmids and phages
Leah M. Smith, Simon A. Jackson, Lucia M. Malone, James E. Ussher, Paul P. Gardner, Peter C. Fineran
Nature Microbiology.2021; 6(2): 162. CrossRef - Role of extracellular vesicles in liver diseases and their therapeutic potential
Enis Kostallari, Shantha Valainathan, Louise Biquard, Vijay H. Shah, Pierre-Emmanuel Rautou
Advanced Drug Delivery Reviews.2021; 175: 113816. CrossRef
Research Support, Non-U.S. Gov't
- Genotyping, Morphology and Molecular Characteristics of a Lytic Phage of Neisseria Strain Obtained from Infected Human Dental Plaque
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Ahmed N Aljarbou , Mohamad Aljofan
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J. Microbiol. 2014;52(7):609-618. Published online May 30, 2014
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DOI: https://doi.org/10.1007/s12275-014-3380-1
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46
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7
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Abstract
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The lytic bacteriaphage (phage) A2 was isolated from human dental plaques along with its bacterial host. The virus was found to have an icosahedron-shaped head (60±3 nm), a sheathed and rigid long tail (~175 nm) and was categorized into the family Siphoviridae of the order Caudovirales, which are dsDNA viral family, characterised by their ability to infect bacteria and are nonenveloped with a noncontractile tail. The isolated phage contained a linear dsDNA genome having 31,703 base pairs of unique sequence, which were sorted into three contigs and 12 single sequences. A latent period of 25 minutes and burst size of 24±2 particles was determined for the virus. Bioinformatics approaches were used to identify ORFs in the genome. A phylogenetic analysis confirmed the species inter-relationship and its placement in the family.
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Citations
Citations to this article as recorded by

- The potential for bacteriophages and prophage elements in fighting and preventing the gonorrhea
Monika Adamczyk-Popławska, Piotr Golec, Andrzej Piekarowicz, Agnieszka Kwiatek
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Anna Łasica, Piotr Golec, Agnieszka Laskus, Magdalena Zalewska, Magdalena Gędaj, Magdalena Popowska
Frontiers in Microbiology.2024;[Epub] CrossRef - Screening of Anorectal and Oropharyngeal Samples Fails to Detect Bacteriophages Infecting Neisseria gonorrhoeae
Jolein Gyonne Elise Laumen, Saïd Abdellati, Sheeba Santhini Manoharan-Basil, Christophe Van Dijck, Dorien Van den Bossche, Irith De Baetselier, Tessa de Block, Surbhi Malhotra-Kumar, Patrick Soentjes, Jean-Paul Pirnay, Chris Kenyon, Maia Merabishvili
Antibiotics.2022; 11(2): 268. CrossRef - A novel phage from periodontal pockets associated with chronic periodontitis
Yu Zhang, Tong-Ling Shan, Fei Li, Tian Yu, Xi Chen, Xu-Tao Deng, Eric Delwart, Xi-Ping Feng
Virus Genes.2019; 55(3): 381. CrossRef -
Identification of Novel Bacteriophages with Therapeutic Potential That Target
Enterococcus faecalis
M. Al-Zubidi, M. Widziolek, E. K. Court, A. F. Gains, R. E. Smith, K. Ansbro, A. Alrafaie, C. Evans, C. Murdoch, S. Mesnage, C. W. I. Douglas, A. Rawlinson, G. P. Stafford, Marvin Whiteley
Infection and Immunity.2019;[Epub] CrossRef - Ecology of the Oral Microbiome: Beyond Bacteria
Jonathon L. Baker, Batbileg Bor, Melissa Agnello, Wenyuan Shi, Xuesong He
Trends in Microbiology.2017; 25(5): 362. CrossRef - The use of bacteriophages to biocontrol oral biofilms
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Journal Article
- Computational Detection of Prokaryotic Core Promoters in Genomic Sequences
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Ki-Bong Kim , Jeong Seop Sim
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J. Microbiol. 2005;43(5):411-416.
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DOI: https://doi.org/2282 [pii]
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Abstract
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The high-throughput sequencing of microbial genomes has resulted in the relatively rapid accumulation of an enormous amount of genomic sequence data. In this context, the problem posed by the detection of promoters in genomic DNA sequences via computational methods has attracted considerable research attention in recent years. This paper addresses the development of a predictive model, known as the dependence decomposition weight matrix model (DDWMM), which was designed to detect the core promoter region, including the -10 region and the transcription start sites (TSSs), in prokaryotic genomic DNA sequences. This is an issue of some importance with regard to genome annotation efforts. Our predictive model captures the most significant dependencies between positions (allowing for non-adjacent as well as adjacent dependencies) via the maximal dependence decomposition (MDD) procedure, which iteratively decomposes data sets into subsets, based on the significant dependence between positions in the promoter region to be modeled. Such dependencies may be intimately related to biological and structural concerns, since promoter elements are present in a variety of combinations, which are separated by various distances. In this respect, the DDWMM may prove to be appropriate with regard to the detection of core promoter regions and TSSs in long microbial genomic contigs. In order to demonstrate the effectiveness of our predictive model, we applied 10-fold cross-validation experiments on the 607 experimentally-verified promoter sequences, which evidenced good performance in terms of sensitivity.