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      Unlocking the potential of microbiome editing: A review of conjugation‐based delivery

      1 , 1 , 1
      Molecular Microbiology
      Wiley

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          Abstract

          In recent decades, there has been a rapid increase in the prevalence of multidrug‐resistant pathogens, posing a challenge to modern antibiotic‐based medicine. This has highlighted the need for novel treatments that can specifically affect the target microorganism without disturbing other co‐inhabiting species, thus preventing the development of dysbiosis in treated patients. Moreover, there is a pressing demand for tools to effectively manipulate complex microbial populations. One of the approaches suggested to address both issues was to use conjugation as a tool to modify the microbiome by either editing the genome of specific bacterial species and/or the removal of certain taxonomic groups. Conjugation involves the transfer of DNA from one bacterium to another, which opens up the possibility of introducing, modifying or deleting specific genes in the recipient. In response to this proposal, there has been a significant increase in the number of studies using this method for gene delivery in bacterial populations. This MicroReview aims to provide a detailed overview on the use of conjugation for microbiome engineering, and at the same time, to initiate a discussion on the potential, limitations and possible future directions of this approach.

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          Most cited references59

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          Mobility of plasmids.

          Plasmids are key vectors of horizontal gene transfer and essential genetic engineering tools. They code for genes involved in many aspects of microbial biology, including detoxication, virulence, ecological interactions, and antibiotic resistance. While many studies have decorticated the mechanisms of mobility in model plasmids, the identification and characterization of plasmid mobility from genome data are unexplored. By reviewing the available data and literature, we established a computational protocol to identify and classify conjugation and mobilization genetic modules in 1,730 plasmids. This allowed the accurate classification of proteobacterial conjugative or mobilizable systems in a combination of four mating pair formation and six relaxase families. The available evidence suggests that half of the plasmids are nonmobilizable and that half of the remaining plasmids are conjugative. Some conjugative systems are much more abundant than others and preferably associated with some clades or plasmid sizes. Most very large plasmids are nonmobilizable, with evidence of ongoing domestication into secondary chromosomes. The evolution of conjugation elements shows ancient divergence between mobility systems, with relaxases and type IV coupling proteins (T4CPs) often following separate paths from type IV secretion systems. Phylogenetic patterns of mobility proteins are consistent with the phylogeny of the host prokaryotes, suggesting that plasmid mobility is in general circumscribed within large clades. Our survey suggests the existence of unsuspected new relaxases in archaea and new conjugation systems in cyanobacteria and actinobacteria. Few genes, e.g., T4CPs, relaxases, and VirB4, are at the core of plasmid conjugation, and together with accessory genes, they have evolved into specific systems adapted to specific physiological and ecological contexts.
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            Is Open Access

            Antimicrobial Resistance: Implications and Costs

            Abstract Antimicrobial resistance (AMR) has developed as one of the major urgent threats to public health causing serious issues to successful prevention and treatment of persistent diseases. In spite of different actions taken in recent decades to tackle this issue, the trends of global AMR demonstrate no signs of slowing down. Misusing and overusing different antibacterial agents in the health care setting as well as in the agricultural industry are considered the major reasons behind the emergence of antimicrobial resistance. In addition, the spontaneous evolution, mutation of bacteria, and passing the resistant genes through horizontal gene transfer are significant contributors to antimicrobial resistance. Many studies have demonstrated the disastrous financial consequences of AMR including extremely high healthcare costs due to an increase in hospital admissions and drug usage. The literature review, which included articles published after the year 2012, was performed using Scopus, PubMed and Google Scholar with the utilization of keyword searches. Results indicated that the multifactorial threat of antimicrobial resistance has resulted in different complex issues affecting countries across the globe. These impacts found in the sources are categorized into three different levels: patient, healthcare, and economic. Although gaps in knowledge about AMR and areas for improvement are obvious, there is not any clearly understood progress to put an end to the persistent trends of antimicrobial resistance.
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              CRISPR--a widespread system that provides acquired resistance against phages in bacteria and archaea.

              Arrays of clustered, regularly interspaced short palindromic repeats (CRISPRs) are widespread in the genomes of many bacteria and almost all archaea. These arrays are composed of direct repeats that are separated by similarly sized non-repetitive spacers. CRISPR arrays, together with a group of associated proteins, confer resistance to phages, possibly by an RNA-interference-like mechanism. This Progress discusses the structure and function of this newly recognized antiviral mechanism.
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                Author and article information

                Contributors
                Journal
                Molecular Microbiology
                Molecular Microbiology
                Wiley
                0950-382X
                1365-2958
                September 02 2023
                Affiliations
                [1 ] Institut Pasteur, Université de Paris, Unité Plasticité du Génome Bactérien, et CNRS, UMR3525 Paris France
                Article
                10.1111/mmi.15147
                45263d1e-7e84-4cb0-8b41-0847a1c7ed1c
                © 2023

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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