Class Of Plasmids Research Articles

CO2-based production of phytase from highly stable expression plasmids in Cupriavidus necator H16

BackgroundExisting plasmid systems offer a fundamental foundation for gene expression in Cupriavidus necator; however, their applicability is constrained by the limitations of conjugation. Low segregational stabilities and plasmid copy numbers, particularly in the absence of selection pressure, pose challenges. Phytases, recognized for their widespread application as supplements in animal feed to enhance phosphate availability, present an intriguing prospect for heterologous production in C. necator. The establishment of stable, high-copy number plasmid that can be electroporated would support the utilization of C. necator for the production of single-cell protein from CO2.ResultsIn this study, we introduce a novel class of expression plasmids specifically designed for electroporation. These plasmids contain partitioning systems to boost segregation stability, eliminating the need for selection pressure. As a proof of concept, we successfully produced Escherichia coli derived AppA phytase in C. necator H16 PHB− 4 using these improved plasmids. Expression was directed by seven distinct promoters, encompassing the constitutive j5 promoter, hydrogenase promoters, and those governing the Calvin-Benson-Bassham cycle. The phytase activities observed in recombinant C. necator H16 strains ranged from 2 to 50 U/mg of total protein, contingent upon the choice of promoter and the mode of cell cultivation - heterotrophic or autotrophic. Further, an upscaling experiment conducted in a 1 l fed-batch gas fermentation system resulted in the attainment of the theoretical biomass. Phytase activity reached levels of up to 22 U/ml.ConclusionThe new expression system presented in this study offers a highly efficient platform for protein production and a wide array of synthetic biology applications. It incorporates robust promoters that exhibit either constitutive activity or can be selectively activated when cells transition from heterotrophic to autotrophic growth. This versatility makes it a powerful tool for tailored gene expression. Moreover, the potential to generate active phytases within C. necator H16 holds promising implications for the valorization of CO2 in the feed industry.

2 Metagenomic Detection and Binning of Plasmids for an Improved Understanding of the Risk of Antimicrobial Resistance Gene Transfer Events

Abstract Multidrug-resistant bacteria are on the increase and threaten human and animal health. Livestock commensal bacteria are a reservoir of antimicrobial resistance genes that can transmit to foodborne pathogens via plasmids and other mobile genetic elements. Assessing the relative risk of resistance genes in a culture-independent manner is a critical goal of antimicrobial resistance surveillance; however, determining the genomic context of a resistance gene remains difficult as mobile genetic elements often fail to assemble and bin accurately in metagenomic studies. To address this issue and better understand the transmission of antimicrobial resistance genes, we developed a machine learning classifier to identify plasmid genomic segments in metagenomic and long-read datasets. We further demonstrate that our plasmid classifier can be applied to identify plasmid bins with low contamination following metagenomic binning. Our findings highlight that metagenomic binning combined with accurate plasmid classification can better resolve the genomic context of antimicrobial resistance genes in culture-independent studies. Lastly, we successfully applied our plasmid prediction tool with droplet digital PCR to determine the absolute abundance of plasmid-encoded antimicrobial resistance genes in bacterial populations. Overall, we demonstrate how our machine learning approach for classifying plasmids can improve the surveillance of mobile antimicrobial resistance genes over current quasi-metagenomic approaches based on culture enrichments. In the future, this research can be extended to predict and better understand the risk of antimicrobial resistance gene transmission in animal agriculture environments.

Mge-cluster: a reference-free approach for typing bacterial plasmids.

Extrachromosomal elements of bacterial cells such as plasmids are notorious for their importance in evolution and adaptation to changing ecology. However, high-resolution population-wide analysis of plasmids has only become accessible recently with the advent of scalable long-read sequencing technology. Current typing methods for the classification of plasmids remain limited in their scope which motivated us to develop a computationally efficient approach to simultaneously recognize novel types and classify plasmids into previously identified groups. Here, we introduce mge-cluster that can easily handle thousands of input sequences which are compressed using a unitig representation in a de Bruijn graph. Our approach offers a faster runtime than existing algorithms, with moderate memory usage, and enables an intuitive visualization, classification and clustering scheme that users can explore interactively within a single framework. Mge-cluster platform for plasmid analysis can be easily distributed and replicated, enabling a consistent labelling of plasmids across past, present, and future sequence collections. We underscore the advantages of our approach by analysing a population-wide plasmid data set obtained from the opportunistic pathogen Escherichia coli, studying the prevalence of the colistin resistance gene mcr-1.1 within the plasmid population, and describing an instance of resistance plasmid transmission within a hospital environment.

Plasmid classifications

Plasmids are universally present in bacteria and play key roles in the dissemination of genes such as antibiotic resistance determinants. Major concepts in Plasmid Biology derive from the efforts to classify plasmids. Here, we review the main plasmid classification systems, starting by phenotype-based methods, such as fertility inhibition and incompatibility, followed by schemes based on a single gene (replicon type and MOB class), and finishing with recently developed approaches that use genetic distances between whole plasmid sequences. A comparison of the latter highlights significant differences between them. We further discuss the need for an operational definition of plasmid species that reveals their biological features, akin to plasmid taxonomic units (PTUs).

Bird's-eye MApping of plasmids (BeMAp) for visualization and comparison of genomic structures of different plasmids by mapping antimicrobial resistance genes on spreadsheets

Effective classification and visualization of multiple antimicrobial resistance plasmids can be challenging, and few tools to analyze similarities among plasmids depending on the location of genes are available. We created a new plasmid mapping program called Bird's-eye MApping of plasmids (BeMAp) to map antimicrobial resistance genes across multiple plasmids onto a spreadsheet and visualize their similarities based on gene types, locations, alignments, and organization. We analyzed plasmids containing various antimicrobial resistance genes, together with genes coding for IMP-type metallo-β-lactamases. Moreover, the mapping of plasmids with antimicrobial resistance genes and Incompatibility (Inc) groups showed that clustered plasmids with a similar organization of antimicrobial resistance genes were not always classified into the same Inc groups, indicating that the program displays multiple plasmids regardless of the Inc group classification. Our results showed that this calculation protocol and mapping strategy could provide a valuable tool for the practical and convenient visualization and comparison of the genomic structure of multiple plasmids in parallel.

Deciphering the genetic network and programmed regulation of antimicrobial resistance in bacterial pathogens.

Antimicrobial resistance (AMR) in bacteria is an important global health problem affecting humans, animals, and the environment. AMR is considered as one of the major components in the "global one health". Misuse/overuse of antibiotics in any one of the segments can impact the integrity of the others. In the presence of antibiotic selective pressure, bacteria tend to develop several defense mechanisms, which include structural changes of the bacterial outer membrane, enzymatic processes, gene upregulation, mutations, adaptive resistance, and biofilm formation. Several components of mobile genetic elements (MGEs) play an important role in the dissemination of AMR. Each one of these components has a specific function that lasts long, irrespective of any antibiotic pressure. Integrative and conjugative elements (ICEs), insertion sequence elements (ISs), and transposons carry the antimicrobial resistance genes (ARGs) on different genetic backbones. Successful transfer of ARGs depends on the class of plasmids, regulons, ISs proximity, and type of recombination systems. Additionally, phage-bacterial networks play a major role in the transmission of ARGs, especially in bacteria from the environment and foods of animal origin. Several other functional attributes of bacteria also get successfully modified to acquire ARGs. These include efflux pumps, toxin-antitoxin systems, regulatory small RNAs, guanosine pentaphosphate signaling, quorum sensing, two-component system, and clustered regularly interspaced short palindromic repeats (CRISPR) systems. The metabolic and virulence state of bacteria is also associated with a range of genetic and phenotypic resistance mechanisms. In spite of the availability of a considerable information on AMR, the network associations between selection pressures and several of the components mentioned above are poorly understood. Understanding how a pathogen resists and regulates the ARGs in response to antimicrobials can help in controlling the development of resistance. Here, we provide an overview of the importance of genetic network and regulation of AMR in bacterial pathogens.

Quantification and fate of plasmid-specific bacteriophages in wastewater: Beyond the F-coliphages

Plasmid-specific bacteriophages specifically infect bacteria carrying conjugal plasmids. While wastewater has been used as isolation source for such phages, to date, only the distribution and ecology of RNA phages specific to the F plasmid have been described, because they serve as a water quality indicator. Yet, several other plasmid classes have higher clinical and ecological relevance, and the distribution, fate, and ecology of the phages that target them remain uncharacterized. We aimed to (i) provide an experimental platform to quantify the abundance of plasmid-specific phages applicable to several different conjugal plasmid classes, (ii) describe the distribution of such phages in wastewater systems, and (iii) relate their abundance to plasmid abundance and to municipal wastewater treatment processes. We introduced four model conjugal plasmids, belonging to incompatibility groups IncP-1, IncN, IncHI1, or IncF into an avirulent Salmonella enterica strain, for which somatic phages are at low abundance in wastewater. These strains were used in double layer agar assays with waters from contrasting sources. Plasmid-specific phages were common in wastewater but rare in river water. Hospital wastewater contained significantly more IncP-1-, but fewer IncF- and IncN- specific phages than domestic wastewater. This pattern did not match that of plasmid abundance estimated by Inc group targeting high-throughput quantitative PCR. The comparison between influent and effluent of wastewater treatment plants revealed a reduction in phage concentration by ca. 2 log, without significant contribution of primary settling. Overall, the ubiquity of these phages hints at their importance for plasmid ecology, and can provide opportunities in water quality monitoring and in ecological management of mobile resistance genes.

3CAC: improving the classification of phages and plasmids in metagenomic assemblies using assembly graphs.

Bacteriophages and plasmids usually coexist with their host bacteria in microbial communities and play important roles in microbial evolution. Accurately identifying sequence contigs as phages, plasmids and bacterial chromosomes in mixed metagenomic assemblies is critical for further unraveling their functions. Many classification tools have been developed for identifying either phages or plasmids in metagenomic assemblies. However, only two classifiers, PPR-Meta and viralVerify, were proposed to simultaneously identify phages and plasmids in mixed metagenomic assemblies. Due to the very high fraction of chromosome contigs in the assemblies, both tools achieve high precision in the classification of chromosomes but perform poorly in classifying phages and plasmids. Short contigs in these assemblies are often wrongly classified or classified as uncertain. Here we present 3CAC, a new three-class classifier that improves the precision of phage and plasmid classification. 3CAC starts with an initial three-class classification generated by existing classifiers and improves the classification of short contigs and contigs with low confidence classification by using proximity in the assembly graph. Evaluation on simulated metagenomes and on real human gut microbiome samples showed that 3CAC outperformed PPR-Meta and viralVerify in both precision and recall, and increased F1-score by 10-60 percentage points. The 3CAC software is available on https://github.com/Shamir-Lab/3CAC. Supplementary data are available at Bioinformatics online.

A Brief History of Plasmids.

In the late 1950s, a number of laboratories took up the study of plasmids once the discovery was made that extrachromosomal antibiotic resistance (R) factors are the responsible agents for the transmissibility of multiple antibiotic resistance among the enterobacteria. The use of incompatibility for the classification of plasmids is now widespread. It seems clear now on the basis of the limited studies to date that the number of incompatibility groups of plasmids will likely be extremely large when one includes plasmids obtained from bacteria that are normal inhabitants of poorly studied natural environments. The presence of both linear chromosomes and linear plasmids is now established for several Streptomyces species. One of the more fascinating developments in plasmid biology was the discovery of linear plasmids in the 1980s. A remarkable feature of the Ti plasmids of Agrobacterium tumefaciens is the presence of two DNA transfer systems. A definitive demonstration that plasmids consisted of duplex DNA came from interspecies conjugal transfer of plasmids followed by separation of plasmid DNA from chromosomal DNA by equilibrium buoyant density centrifugation. The formation of channels for DNA movement and the actual steps involved in DNA transport offer many opportunities for the discovery of proteins with novel activities and for establishing fundamentally new concepts of macromolecular interactions between DNA and specific proteins, membranes, and the peptidoglycan matrix.

Deeplasmid: deep learning accurately separates plasmids from bacterial chromosomes.

Plasmids are mobile genetic elements that play a key role in microbial ecology and evolution by mediating horizontal transfer of important genes, such as antimicrobial resistance genes. Many microbial genomes have been sequenced by short read sequencers and have resulted in a mix of contigs that derive from plasmids or chromosomes. New tools that accurately identify plasmids are needed to elucidate new plasmid-borne genes of high biological importance. We have developed Deeplasmid, a deep learning tool for distinguishing plasmids from bacterial chromosomes based on the DNA sequence and its encoded biological data. It requires as input only assembled sequences generated by any sequencing platform and assembly algorithm and its runtime scales linearly with the number of assembled sequences. Deeplasmid achieves an AUC–ROC of over 89%, and it was more accurate than five other plasmid classification methods. Finally, as a proof of concept, we used Deeplasmid to predict new plasmids in the fish pathogen Yersinia ruckeri ATCC 29473 that has no annotated plasmids. Deeplasmid predicted with high reliability that a long assembled contig is part of a plasmid. Using long read sequencing we indeed validated the existence of a 102 kb long plasmid, demonstrating Deeplasmid's ability to detect novel plasmids.

COPLA, a taxonomic classifier of plasmids

BackgroundPlasmids are mobile genetic elements, key in the dissemination of antibiotic resistance, virulence determinants and other adaptive traits in bacteria. Obtaining a robust method for plasmid classification is necessary to better understand the genetics and epidemiology of many pathogens. Until now, plasmid classification systems focused on specific traits, which limited their precision and universality. The definition of plasmid taxonomic units (PTUs), based on average nucleotide identity metrics, allows the generation of a universal plasmid classification scheme, applicable to all bacterial taxa. Here we present COPLA, a software able to assign plasmids to known and novel PTUs, based on their genomic sequence.ResultsWe implemented an automated pipeline able to assign a given plasmid DNA sequence to its cognate PTU, and assessed its performance using a sample of 1000 unclassified plasmids. Overall, 41% of the samples could be assigned to a previously defined PTU, a number that reached 63% in well-known taxa such as the Enterobacterales order. The remaining plasmids represent novel PTUs, indicating that a large fraction of plasmid backbones is still uncharacterized.ConclusionsCOPLA is a bioinformatic tool for universal, species-independent, plasmid classification. Offered both as an automatable pipeline and an open web service, COPLA will help bacterial geneticists and clinical microbiologists to quickly classify plasmids.

Mechanisms of Theta Plasmid Replication in Enterobacteria and Implications for Adaptation to Its Host.

Plasmids are autonomously replicating sequences that help cells adapt to diverse stresses. Theta plasmids are the most frequent plasmid class in enterobacteria. They co-opt two host replication mechanisms: replication at oriC, a DnaA-dependent pathway leading to replisome assembly (theta class A), and replication fork restart, a PriA-dependent pathway leading to primosome assembly through primer extension and D-loop formation (theta classes B, C, and D). To ensure autonomy from the host's replication and to facilitate copy number regulation, theta plasmids have unique mechanisms of replication initiation at the plasmid origin of replication (ori). Tight plasmid copy number regulation is essential because of the major and direct impact plasmid gene dosage has on gene expression. The timing of plasmid replication and segregation are also critical for optimizing plasmid gene expression. Therefore, we propose that plasmid replication needs to be understood in its biological context, where complex origins of replication (redundant origins, mosaic and cointegrated replicons), plasmid segregation, and toxin-antitoxin systems are often present. Highlighting their tight functional integration with ori function, we show that both partition and toxin-antitoxin systems tend to be encoded in close physical proximity to the ori in a large collection of Escherichia coli plasmids. We also propose that adaptation of plasmids to their host optimizes their contribution to the host's fitness while restricting access to broad genetic diversity, and we argue that this trade-off between adaptation to host and access to genetic diversity is likely a determinant factor shaping the distribution of replicons in populations of enterobacteria.

Linoleic acid and α-linolenic acid inhibit conjugative transfer of an IncX4 plasmid carrying mcr-1.

The aim of this study was to determine the effects of unsaturated fatty acids on clinical plasmids. Two unsaturated fatty acids, linoleic acid (LA) and α-linolenic acid (ALA) at final concentration 0, 0·03, 0·3 and 3mmoll-1 , respectively, were used to assess the effects on conjugative transfer of a mcr-1-harbouring plasmid pCSZ4 (IncX4) in conjugation experiment. The inhibitory mechanisms were analysed by molecular docking and the gene expression of virB11 was quantitated by qRT-PCR. Target plasmid diversity was carried out by TrwD/VirB11 homology protein sequence prediction analysis. Our results showed that LA and ALA inhibit plasmid pCSZ4 transfer by binding to the amino acid residues (Phe124 and Thr125) of VirB11 with dose-dependent effects. The expression levels of virB11 gene were also significantly inhibited by LA and ALA treatment. Protein homology analysis revealed a wide distribution of TrwD/VirB11-like genes among over 37 classes of plasmids originated from both Gram-negative and Gram-positive bacteria. This study demonstrates representing a diversity of plasmids that may be potentially inhibited by unsaturated fatty acids. Our work reported here provides additional support for application of curbing the spread of multiple plasmids by unsaturated fatty acids.

Antimicrobial Resistance Gene Detection and Plasmid Typing Among Multidrug Resistant Enterococci Isolated from Freshwater Environment.

In this study, mechanisms of antimicrobial resistance (AR) as well as the abundance and diversity of plasmids were determined among multidrug resistant (MDR) enterococci from surface water in GA, USA. A total of 51 enterococci isolates were screened for the presence of 27 AR genes conferring resistance to ciprofloxacin, erythromycin, tylosin, kanamycin, streptomycin, lincomycin, Quinupristin/Dalfopristin (Q/D), and tetracycline. A plasmid classification system based on replication genes was used to detect 19 defined Gram-positive plasmid replicon families. Twelve genes were identified as conferring resistance to erythromycin and tylosin (erm(B) and erm(C)), kanamycin (aph(3′)-IIIa), streptomycin (ant(6)-Ia), lincomycin (lnu(B)), Q/D (vat(E)), ciprofloxacin (qnrE. faecalis), and tetracycline (tet(K), tet(L), tet(M), tet(O) and tet(S)). Twelve different rep-families were identified in two-thirds of the isolates. While AR genes commonly found in human and animals were detected in this study among environmental enterococci, resistance genes could not be determined for many of the isolates, which indicates that diverse AR mechanisms exist among enterococci, and the understanding of AR mechanisms for environmental enterococci is limited. Diverse rep-families were identified among the enterococci recovered from the aquatic environment, and these rep-families appear to be quite different from those recovered from other sources. This work expands knowledge of AR gene reservoirs and enterococcal plasmids across a wider range of environments.

PlasClass improves plasmid sequence classification.

Many bacteria contain plasmids, but separating between contigs that originate on the plasmid and those that are part of the bacterial genome can be difficult. This is especially true in metagenomic assembly, which yields many contigs of unknown origin. Existing tools for classifying sequences of plasmid origin give less reliable results for shorter sequences, are trained using a fraction of the known plasmids, and can be difficult to use in practice. We present PlasClass, a new plasmid classifier. It uses a set of standard classifiers trained on the most current set of known plasmid sequences for different sequence lengths. We tested PlasClass sequence classification on held-out data and simulations, as well as publicly available bacterial isolates and plasmidome samples and plasmids assembled from metagenomic samples. PlasClass outperforms the state-of-the-art plasmid classification tool on shorter sequences, which constitute the majority of assembly contigs, allowing it to achieve higher F1 scores in classifying sequences from a wide range of datasets. PlasClass also uses significantly less time and memory. PlasClass can be used to easily classify plasmid and bacterial genome sequences in metagenomic or isolate assemblies. It is available under the MIT license from: https://github.com/Shamir-Lab/PlasClass.

Complete Sequence of Succinamopine Ti-Plasmid pTiEU6 Reveals Its Evolutionary Relatedness with Nopaline-Type Ti-Plasmids.

Agrobacterium tumefaciens is the etiological agent of plant crown gall disease, which is induced by the delivery of a set of oncogenic genes into plant cells from its tumor-inducing (Ti) plasmid. Here we present the first complete sequence of a succinamopine-type Ti-plasmid. Plasmid pTiEU6 is comprised of 176,375 bp with an overall GC content of 56.1% and 195 putative protein-coding sequences could be identified. This Ti-plasmid is most closely related to nopaline-type Ti-plasmids. It contains a single T-region which is somewhat smaller than that of the nopaline-type Ti-plasmids and in which the gene for nopaline synthesis is replaced by a gene (sus) for succinamopine synthesis. Also in pTiEU6 the nopaline catabolic genes are replaced by genes for succinamopine catabolism. In order to trace the evolutionary origin of pTiEU6, we sequenced six nopaline Ti-plasmids to enlarge the scope for comparison to this class of plasmids. Average nucleotide identity analysis revealed that pTiEU6 was most closely related to nopaline Ti-plasmids pTiT37 and pTiSAKURA. In line with this traces of several transposable elements were present in all the nopaline Ti plasmids and in pTiEU6, but one specific transposable element insertion, that of a copy of IS1182, was present at the same site only in pTiEU6, pTiT37, and pTiSAKURA, but not in the other Ti plasmids. This suggests that pTiEU6 evolved after diversification of nopaline Ti-plasmids by DNA recombination between a pTiT37-like nopaline Ti-plasmid and another plasmid, thus introducing amongst others new catabolic genes matching a new opine synthase gene for succinamopine synthesis.

Evolutionary Relatedness and Classification of Tumor-Inducing and Opine-Catabolic Plasmids in Three Rhizobium rhizogenes Strains Isolated from the Same Crown Gall Tumor.

Plasmids play a crucial role in the ecology of agrobacteria. In this study, we sequenced tumor-inducing (Ti) and opine-catabolic (OC) plasmids in three Rhizobium rhizogenes (Agrobacterium biovar 2) strains isolated from the same crown gall tumor on “Colt” cherry rootstock and conducted comparative genomic analyses. Tumorigenic strains C5.7 and C6.5 carry nopaline-type Ti plasmids pTiC5.7/pTiC6.5, whereas the nonpathogenic strain Colt5.8 carries the nopaline-type OC plasmid pOC-Colt5.8. Overall, comparative genomic analysis indicated that pTiC5.7/pTiC6.5 and related Ti plasmids described before (pTiC58 and pTi-SAKURA) originate from a common ancestor, although they have diverged during evolution. On the other hand, plasmid pOC-Colt5.8 was most closely related to the well-known OC plasmid pAtK84b; however, analysis suggested that they had different evolutionary histories and seem to share a more distant common ancestor. Although the reconstruction of the evolutionary history of Ti and OC plasmids is still speculative, we hypothesized that nopaline-type Ti plasmid might originate from the nopaline-type OC plasmid. Our results suggested that OC plasmids are widespread and closely associated with crown gall tumors. Finally, we proposed a thorough scheme for classification of Ti and OC plasmids that is based on separate comparative analysis of each functional element of the plasmid studied.

Antisense and yet sensitive: Copy number control of rolling circle-replicating plasmids by small RNAs.

Bacterial plasmids constitute a wealth of shared DNA amounting to about 20% of the total prokaryotic pangenome. Plasmids replicate autonomously and control their replication by maintaining a fairly constant number of copies within a given host. Plasmids should acquire a good fitness to their hosts so that they do not constitute a genetic load. Here we review some basic concepts in plasmid biology, pertaining to the control of replication and distribution of plasmid copies among daughter cells. A particular class of plasmids is constituted by those that replicate by the rolling circle mode (rolling circle-replicating [RCR]-plasmids). They are small double-stranded DNA molecules, with a rather high number of copies in the original host. RCR-plasmids control their replication by means of a small short-lived antisense RNA, alone or in combination with a plasmid-encoded transcriptional repressor protein. Two plasmid prototypes have been studied in depth, namely the staphylococcal plasmid pT181 and the streptococcal plasmid pMV158, each corresponding to the two types of replication control circuits, respectively. We further discuss possible applications of the plasmid-encoded antisense RNAs and address some future directions that, in our opinion, should be pursued in the study of these small molecules. This article is categorized under: Regulatory RNAs/RNAi/Riboswitches > Regulatory RNAs RNA Structure and Dynamics > Influence of RNA Structure in Biological Systems.

Replication of Staphylococcal Resistance Plasmids.

The currently widespread and increasing prevalence of resistant bacterial pathogens is a significant medical problem. In clinical strains of staphylococci, the genetic determinants that confer resistance to antimicrobial agents are often located on mobile elements, such as plasmids. Many of these resistance plasmids are capable of horizontal transmission to other bacteria in their surroundings, allowing extraordinarily rapid adaptation of bacterial populations. Once the resistance plasmids have been spread, they are often perpetually maintained in the new host, even in the absence of selective pressure. Plasmid persistence is accomplished by plasmid-encoded genetic systems that ensure efficient replication and segregational stability during cell division. Staphylococcal plasmids utilize proteins of evolutionarily diverse families to initiate replication from the plasmid origin of replication. Several distinctive plasmid copy number control mechanisms have been studied in detail and these appear conserved within plasmid classes. The initiators utilize various strategies and serve a multifunctional role in (i) recognition and processing of the cognate replication origin to an initiation active form and (ii) recruitment of host-encoded replication proteins that facilitate replisome assembly. Understanding the detailed molecular mechanisms that underpin plasmid replication may lead to novel approaches that could be used to reverse or slow the development of resistance.

Plasmid Classification in an Era of Whole-Genome Sequencing: Application in Studies of Antibiotic Resistance Epidemiology.

Plasmids are extra-chromosomal genetic elements ubiquitous in bacteria, and commonly transmissible between host cells. Their genomes include variable repertoires of ‘accessory genes,’ such as antibiotic resistance genes, as well as ‘backbone’ loci which are largely conserved within plasmid families, and often involved in key plasmid-specific functions (e.g., replication, stable inheritance, mobility). Classifying plasmids into different types according to their phylogenetic relatedness provides insight into the epidemiology of plasmid-mediated antibiotic resistance. Current typing schemes exploit backbone loci associated with replication (replicon typing), or plasmid mobility (MOB typing). Conventional PCR-based methods for plasmid typing remain widely used. With the emergence of whole-genome sequencing (WGS), large datasets can be analyzed using in silico plasmid typing methods. However, short reads from popular high-throughput sequencers can be challenging to assemble, so complete plasmid sequences may not be accurately reconstructed. Therefore, localizing resistance genes to specific plasmids may be difficult, limiting epidemiological insight. Long-read sequencing will become increasingly popular as costs decline, especially when resolving accurate plasmid structures is the primary goal. This review discusses the application of plasmid classification in WGS-based studies of antibiotic resistance epidemiology; novel in silico plasmid analysis tools are highlighted. Due to the diverse and plastic nature of plasmid genomes, current typing schemes do not classify all plasmids, and identifying conserved, phylogenetically concordant genes for subtyping and phylogenetics is challenging. Analyzing plasmids as nodes in a network that represents gene-sharing relationships between plasmids provides a complementary way to assess plasmid diversity, and allows inferences about horizontal gene transfer to be made.