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Toxin–antitoxin systems are widespread in bacterial genomes. They are usually composed of two elements: a toxin that inhibits an essential cellular process and an antitoxin that counteracts its cognate toxin. In the past decade, a number of new toxin–antitoxin systems have been described, bringing new growth inhibition mechanisms to light as well as novel modes of antitoxicity. However, recent advances in the field profoundly questioned the role of these systems in bacterial physiology, stress response and antimicrobial persistence. This shifted the paradigm of the functions of toxin–antitoxin systems to roles related to interactions between hosts and their mobile genetic elements, such as viral defence or plasmid stability. In this Review, we summarize the recent progress in understanding the biology and evolution of these small genetic elements, and discuss how genomic conflicts could shape the diversification of toxin–antitoxin systems.Toxin–antitoxin systems are composed of a toxin that inhibits an essential cellular process and an antitoxin that counteracts its cognate toxin. In this Review, Van Melderen and colleagues summarize the recent progress in understanding the biology and evolution of these small genetic elements, and discuss how genomic conflicts could shape the diversification of toxin–antitoxin systems.

Horizontal gene transfer (HGT) is arguably the most conspicuous feature of bacterial evolution. Evidence for HGT is found in most bacterial genomes. Although HGT can considerably alter bacterial genomes, not all transfer events may be biologically significant and may instead represent the outcome of an incessant evolutionary process that only occasionally has a beneficial purpose. When adaptive transfers occur, HGT and positive selection may result in specific, detectable signatures in genomes, such as gene-specific sweeps or increased transfer rates for genes that are ecologically relevant. In this Review, we first discuss the various mechanisms whereby HGT occurs, how the genetic signatures shape patterns of genomic variation and the distinct bioinformatic algorithms developed to detect these patterns. We then discuss the evolutionary theory behind HGT and positive selection in bacteria, and discuss the approaches developed over the past decade to detect transferred DNA that may be involved in adaptation to new environments.Bacterial DNA transfers between cells in numerous ways and becomes integrated into the genome, with diverse consequences for bacterial genomes. In this Review, Arnold, Huang and Hanage discuss the underlying theory used to infer the selective forces acting on transferred DNA and how they shape patterns of genomic variation.

Throughout their evolutionary history, bacteria have faced diverse threats from other microorganisms, including competing bacteria, bacteriophages and predators. In response to these threats, they have evolved sophisticated defence mechanisms that today also protect bacteria against antibiotics and other therapies. In this Review, we explore the protective strategies of bacteria, including the mechanisms, evolution and clinical implications of these ancient defences. We also review the countermeasures that attackers have evolved to overcome bacterial defences. We argue that understanding how bacteria defend themselves in nature is important for the development of new therapies and for minimizing resistance evolution.In this Review, Smith, Foster and colleagues explore the protective strategies of bacteria, including the mechanisms, evolution and clinical implications of these ancient defences. They discuss new therapies for treating disease and how to minimize resistance evolution.

Rapid growth of genome data provides opportunities for updating microbial evolutionary relationships, but this is challenged by the discordant evolution of individual genes. Here we build a reference phylogeny of 10,575 evenly-sampled bacterial and archaeal genomes, based on a comprehensive set of 381 markers, using multiple strategies. Our trees indicate remarkably closer evolutionary proximity between Archaea and Bacteria than previous estimates that were limited to fewer “core” genes, such as the ribosomal proteins. The robustness of the results was tested with respect to several variables, including taxon and site sampling, amino acid substitution heterogeneity and saturation, non-vertical evolution, and the impact of exclusion of candidate phyla radiation (CPR) taxa. Our results provide an updated view of domain-level relationships. The authors build a reference phylogeny of 10,575 evenly-sampled bacterial and archaeal genomes, based on 381 markers. The results indicate a remarkably closer evolutionary proximity between Archaea and Bacteria than previous estimates that used fewer “core” genes, such as the ribosomal proteins.

Antimicrobial resistance (AMR) poses a substantial threat to human health. The widespread prevalence of AMR is, in part, due to the horizontal transfer of antibiotic resistance genes (ARGs), typically mediated by plasmids. Many of the plasmid-mediated resistance genes in pathogens originate from environmental, animal or human habitats. Despite evidence that plasmids mobilize ARGs between these habitats, we have a limited understanding of the ecological and evolutionary trajectories that facilitate the emergence of multidrug resistance (MDR) plasmids in clinical pathogens. One Health, a holistic framework, enables exploration of these knowledge gaps. In this Review, we provide an overview of how plasmids drive local and global AMR spread and link different habitats. We explore some of the emerging studies integrating an eco-evolutionary perspective, opening up a discussion about the factors that affect the ecology and evolution of plasmids in complex microbial communities. Specifically, we discuss how the emergence and persistence of MDR plasmids can be affected by varying selective conditions, spatial structure, environmental heterogeneity, temporal variation and coexistence with other members of the microbiome. These factors, along with others yet to be investigated, collectively determine the emergence and transfer of plasmid-mediated AMR within and between habitats at the local and global scale.In this Review, Castañeda-Barba, Top and Stalder use the One Health framework to synthesize the recent literature on the ecological and evolutionary factors that determine the successful local and global spread of plasmid-mediated antimicrobial resistance genes.

Antibiotic resistance spreads among bacteria through horizontal transfer of antibiotic resistance genes (ARGs). Here, we set out to determine predictive features of ARG transfer among bacterial clades. We use a statistical framework to identify putative horizontally transferred ARGs and the groups of bacteria that disseminate them. We identify 152 gene exchange networks containing 22,963 bacterial genomes. Analysis of ARG-surrounding sequences identify genes encoding putative mobilisation elements such as transposases and integrases that may be involved in gene transfer between genomes. Certain ARGs appear to be frequently mobilised by different mobile genetic elements. We characterise the phylogenetic reach of these mobilisation elements to predict the potential future dissemination of known ARGs. Using a separate database with 472,798 genomes from Streptococcaceae, Staphylococcaceae and Enterobacteriaceae, we confirm 34 of 94 predicted mobilisations. We explore transfer barriers beyond mobilisation and show experimentally that physiological constraints of the host can explain why specific genes are largely confined to Gram-negative bacteria although their mobile elements support dissemination to Gram-positive bacteria. Our approach may potentially enable better risk assessment of future resistance gene dissemination. Antibiotic resistance spreads among bacteria through horizontal transfer of antibiotic resistance genes (ARGs). Here, Ellabaan et al. use a statistical approach to identify putative mobilisation elements and other features associated with ARG transfer among bacterial clades to predict the potential future dissemination of known ARGs.

Iron is an essential trace element for most organisms. A common way for bacteria to acquire this nutrient is through the secretion of siderophores, which are secondary metabolites that scavenge iron from environmental stocks and deliver it to cells via specific receptors. While there has been tremendous interest in understanding the molecular basis of siderophore synthesis, uptake and regulation, questions about the ecological and evolutionary consequences of siderophore secretion have only recently received increasing attention. In this Review, we outline how eco-evolutionary questions can complement the mechanistic perspective and help to obtain a more integrated view of siderophores. In particular, we explain how secreted diffusible siderophores can affect other community members, leading to cooperative, exploitative and competitive interactions between individuals. These social interactions in turn can spur co-evolutionary arms races between strains and species, lead to ecological dependencies between them and potentially contribute to the formation of stable communities. In brief, this Review shows that siderophores are much more than just iron carriers: they are important mediators of interactions between members of microbial assemblies and the eukaryotic hosts they inhabit.Secreted siderophores help bacteria to take up iron from the environment. In this Review, Kramer, Özkaya and Kümmerli discuss the functions and implications that siderophores have for social interactions between bacterial cells and the resulting consequences for communities and hosts.

Intense genome sequencing of Pseudomonas aeruginosa isolates from cystic fibrosis (CF) airways has shown inefficient eradication of the infecting bacteria, as well as previously undocumented patient-to-patient transmission of adapted clones. However, genome sequencing has limited potential as a predictor of chronic infection and of the adaptive state during infection, and thus there is increasing interest in linking phenotypic traits to the genome sequences. Phenotypic information ranges from genome-wide transcriptomic analysis of patient samples to determination of more specific traits associated with metabolic changes, stress responses, antibiotic resistance and tolerance, biofilm formation and slow growth. Environmental conditions in the CF lung shape both genetic and phenotypic changes of P. aeruginosa during infection. In this Review, we discuss the adaptive and evolutionary trajectories that lead to early diversification and late convergence, which enable P. aeruginosa to succeed in this niche, and we point out how knowledge of these biological features may be used to guide diagnosis and therapy.Pseudomonas aeruginosa shows high diversity and plasticity, which enables it to succeed in the challenging environment of cystic fibrosis airways. In this Review, Johansen and colleagues highlight genomic and phenotypic adaptation of P. aeruginosa and the implications for infection management.

Key Points CRISPR–Cas systems provide archaea and bacteria with adaptive immunity against viruses and plasmids. CRISPR–Cas genomic loci show extreme diversity in sequence and gene arrangement. We developed a computational approach for CRISPR–Cas classification, combining comparisons of Cas protein sequences and locus architectures. Two classes, five types and 16 subtypes of CRISPR–Cas systems were identified based on this approach. An automated classifier was developed for assigning CRISPR–Cas loci from sequenced genomes to specific subtypes. The evolution of CRISPR–Cas systems is marked by extensive horizontal transfer and recombination of functional modules. CRISPR–Cas systems provide bacteria and archaea with adaptive immunity to invading foreign DNA. In an Analysis article, Koonin and colleagues update a previous classification of these systems to incorporate the large volume of genomic data generated in recent years. The evolution of CRISPR– cas loci, which encode adaptive immune systems in archaea and bacteria, involves rapid changes, in particular numerous rearrangements of the locus architecture and horizontal transfer of complete loci or individual modules. These dynamics complicate straightforward phylogenetic classification, but here we present an approach combining the analysis of signature protein families and features of the architecture of cas loci that unambiguously partitions most CRISPR– cas loci into distinct classes, types and subtypes. The new classification retains the overall structure of the previous version but is expanded to now encompass two classes, five types and 16 subtypes. The relative stability of the classification suggests that the most prevalent variants of CRISPR–Cas systems are already known. However, the existence of rare, currently unclassifiable variants implies that additional types and subtypes remain to be characterized.

Key Points CRISPR–Cas systems form two major classes that differ in the organization of their effector modules. The effector modules of class 2 systems consist of a single large protein, which makes them the best candidates for genome-editing tools. Computational methods of microbial genome screening were developed for the comprehensive identification of class 2 CRISPR– cas loci. Using these approaches, six new subtypes of the class 2 system were discovered, which brings the total for this class to three types and 10 subtypes. Type II and type V CRISPR–Cas effectors are homologues of TnpB proteins, which are a poorly characterized family of nucleases that are encoded by bacterial and archaeal transposons. The different subtypes of these two types seem to have evolved independently, through the integration of TnpB-encoding transposons near CRISPR arrays. Type VI effectors are large proteins that contain two RNase domains of the higher eukaryotes and prokaryotes nucleotide-binding domain (HEPN) superfamily and that have been shown to, or are predicted to, specifically target RNA. The diverse class 2 CRISPR–Cas systems that have been discovered provide opportunities for the construction of versatile genome-editing tools. Class 2 CRISPR–Cas systems are characterized by effector modules that consist of a single multidomain protein. In this Analysis, using a computational pipeline, the authors discover three novel families of class 2 effectors that correspond to three new CRISPR–Cas subtypes and present a comprehensive census of class 2 systems that are encoded in complete and draft bacterial and archaeal genomes. Class 2 CRISPR–Cas systems are characterized by effector modules that consist of a single multidomain protein, such as Cas9 or Cpf1. We designed a computational pipeline for the discovery of novel class 2 variants and used it to identify six new CRISPR–Cas subtypes. The diverse properties of these new systems provide potential for the development of versatile tools for genome editing and regulation. In this Analysis article, we present a comprehensive census of class 2 types and class 2 subtypes in complete and draft bacterial and archaeal genomes, outline evolutionary scenarios for the independent origin of different class 2 CRISPR–Cas systems from mobile genetic elements, and propose an amended classification and nomenclature of CRISPR–Cas.