Literature DB >> 31341035

Phase-variable bacterial loci: how bacteria gamble to maximise fitness in changing environments.

Zachary N Phillips1, Greg Tram1, Kate L Seib1, John M Atack2.   

Abstract

Phase-variation of genes is defined as the rapid and reversible switching of expression - either ON-OFF switching or the expression of multiple allelic variants. Switching of expression can be achieved by a number of different mechanisms. Phase-variable genes typically encode bacterial surface structures, such as adhesins, pili, and lipooligosaccharide, and provide an extra contingency strategy in small-genome pathogens that may lack the plethora of 'sense-and-respond' gene regulation systems found in other organisms. Many bacterial pathogens also encode phase-variable DNA methyltransferases that control the expression of multiple genes in systems called phasevarions (phase-variable regulons). The presence of phase-variable genes allows a population of bacteria to generate a number of phenotypic variants, some of which may be better suited to either colonising certain host niches, surviving a particular environmental condition and/or evading an immune response. The presence of phase-variable genes complicates the determination of an organism's stably expressed antigenic repertoire; many phase-variable genes are highly immunogenic, and so would be ideal vaccine candidates, but unstable expression due to phase-variation may allow vaccine escape. This review will summarise our current understanding of phase-variable genes that switch expression by a variety of mechanisms, and describe their role in disease and pathobiology.
© 2019 The Author(s).

Entities:  

Keywords:  adhesin; bacteria; lipooligosaccharide; phase-variation; phasevarion; vaccines

Year:  2019        PMID: 31341035     DOI: 10.1042/BST20180633

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  18 in total

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2.  Pneumococcal Phasevarions Control Multiple Virulence Traits, Including Vaccine Candidate Expression.

Authors:  Zachary N Phillips; Claudia Trappetti; Annelies Van Den Bergh; Gael Martin; Ainslie Calcutt; Victoria Ozberk; Patrice Guillon; Manisha Pandey; Mark von Itzstein; W Edward Swords; James C Paton; Michael P Jennings; John M Atack
Journal:  Microbiol Spectr       Date:  2022-05-10

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Journal:  Sci Rep       Date:  2022-06-10       Impact factor: 4.996

Review 4.  Detection of DNA Modifications by Sequence-Specific Transcription Factors.

Authors:  Jie Yang; Xing Zhang; Robert M Blumenthal; Xiaodong Cheng
Journal:  J Mol Biol       Date:  2019-10-15       Impact factor: 5.469

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Authors:  Jenifer Coburn; Brandon Garcia; Linden T Hu; Mollie W Jewett; Peter Kraiczy; Steven J Norris; Jon Skare
Journal:  Curr Issues Mol Biol       Date:  2020-12-23       Impact factor: 2.081

Review 6.  Site-Specific Recombination - How Simple DNA Inversions Produce Complex Phenotypic Heterogeneity in Bacterial Populations.

Authors:  Dominika Trzilova; Rita Tamayo
Journal:  Trends Genet       Date:  2020-09-29       Impact factor: 11.639

7.  Evolution of Pseudomonas aeruginosa toward higher fitness under standard laboratory conditions.

Authors:  Igor Grekov; Janne Gesine Thöming; Adrian Kordes; Susanne Häussler
Journal:  ISME J       Date:  2020-12-03       Impact factor: 10.302

8.  Systematic Analysis of REBASE Identifies Numerous Type I Restriction-Modification Systems with Duplicated, Distinct hsdS Specificity Genes That Can Switch System Specificity by Recombination.

Authors:  John M Atack; Chengying Guo; Thomas Litfin; Long Yang; Patrick J Blackall; Yaoqi Zhou; Michael P Jennings
Journal:  mSystems       Date:  2020-07-28       Impact factor: 6.496

9.  Moraxella catarrhalis phase-variable loci show differences in expression during conditions relevant to disease.

Authors:  Aimee Tan; Luke V Blakeway; Yuedong Yang; Yaoqi Zhou; John M Atack; Ian R Peak; Kate L Seib
Journal:  PLoS One       Date:  2020-06-18       Impact factor: 3.240

10.  A simple, fast and reliable scan-based technique as a novel approach to quantify intracellular bacteria.

Authors:  Meysam Sarshar; Daniela Scribano; Giulia Tranquilli; Marisa Di Pietro; Simone Filardo; Carlo Zagaglia; Rosa Sessa; Anna Teresa Palamara; Cecilia Ambrosi
Journal:  BMC Microbiol       Date:  2019-11-12       Impact factor: 3.605

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