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The pathogenesis of Clostridium difficile, the major cause of antibiotic-associated diarrhea, is mainly associated with the production and activities of two major toxins. In many bacteria, toxins are released into the extracellular environment via the general secretion pathways. C. difficile toxins A and B have no export signature and their secretion is not explainable by cell lysis, suggesting that they might be secreted by an unusual mechanism. The TcdE protein encoded within the C. difficile pathogenicity locus (PaLoc) has predicted structural features similar to those of bacteriophage holin proteins. During many types of phage infection, host lysis is driven by an endolysin that crosses the cytoplasmic membrane through a pore formed by holin oligomerization. We demonstrated that TcdE has a holin-like activity by functionally complementing a λ phage deprived of its holin. Similar to λ holin, TcdE expressed in Escherichia coli and C. difficile formed oligomers in the cytoplamic membrane. A C. difficile tcdE mutant strain grew at the same rate as the wild-type strain, but accumulated a dramatically reduced amount of toxin proteins in the medium. However, the complemented tcdE mutant released the toxins efficiently. There was no difference in the abundance of tcdA and tcdB transcripts or of several cytoplasmic proteins in the mutant and the wild-type strains. In addition, TcdE did not overtly affect membrane integrity of C. difficile in the presence of TcdA/TcdB. Thus, TcdE acts as a holin-like protein to facilitate the release of C. difficile toxins to the extracellular environment, but, unlike the phage holins, does not cause the non-specific release of cytosolic contents. TcdE appears to be the first example of a bacterial protein that releases toxins into the environment by a phage-like system.

Background. The capsular polysaccharide (CPS) is an important virulence factor and a vaccine target of the major neonatal pathogen group Streptococcus (GBS). Population studies revealed no strong correlation between CPS type and multilocus sequence typing (MLST) cluster, with the remarkable exception of the worldwide spread of hypervirulent GBS CC17, which were all until recently CPS type III. Methods. A total of 965 GBS strains from invasive infection isolated in France were CPS typed and the presence of the CC17-specific surface protein encoding gene hvgA gene was investigated. Three hvgA-positive GBS strains screened were surprisingly CPS type IV and thus further characterized by MLST typing, pulsed-field gel electrophoresis (PFGE), and whole genome sequencing. Results. MLST and PFGE demonstrated a capsular switching from CPS type III to IV within the highly homogeneous GBS CC17. Sequence analysis revealed that this capsular switch was due to the exchange of a 35.5-kb DNA fragment containing the entire cps operon. Conclusions. This work shows that GBS CCI7 hypervirulent strains have switched one of their main vaccine targets. Thus, continued surveillance of GBS population remains of the utmost importance during clinical trials of conjugate GBS vaccines.

Clostridium difficile, a causative agent of antibiotic-associated diarrhea and its potentially lethal form, pseudomembranous colitis, produces two large protein toxins that are responsible for the cellular damage associated with the disease. The level of toxin production appears to be critical for determining the severity of the disease, but the mechanism by which toxin synthesis is regulated is unknown. The product of a gene, txeR, that lies just upstream of the tox gene cluster was shown to be needed for tox gene expression in vivo and to activate promoter-specific transcription of the tox genes in vitro in conjunction with RNA polymerases from C. difficile, Bacillus subtilis, or Escherichia coli. TxeR was shown to function as an alternative sigma factor for RNA polymerase. Because homologs of TxeR regulate synthesis of toxins and a bacteriocin in other Clostridium species, TxeR appears to be a prototype for a novel mode of regulation of toxin genes.

Laboratory experiments have uncovered many basic aspects of bacterial physiology and behavior. After the past century of mostly in vitro experiments, we now have detailed knowledge of bacterial behavior in standard laboratory conditions, but only a superficial understanding of bacterial functions and behaviors during human infection. It is well-known that the growth and behavior of bacteria are largely dictated by their environment, but how bacterial physiology differs in laboratory models compared with human infections is not known. To address this question, we compared the transcriptome of Pseudomonas aeruginosa during human infection to that of P. aeruginosa in a variety of laboratory conditions. Several pathways, including the bacterium’s primary quorum sensing system, had significantly lower expression in human infections than in many laboratory conditions. On the other hand, multiple genes known to confer antibiotic resistance had substantially higher expression in human infection than in laboratory conditions, potentially explaining why antibiotic resistance assays in the clinical laboratory frequently underestimate resistance in patients. Using a standard machine learning technique known as support vector machines, we identified a set of genes whose expression reliably distinguished in vitro conditions from human infections. Finally, we used these support vector machines with binary classification to force P. aeruginosa mouse infection transcriptomes to be classified as human or in vitro. Determining what differentiates our current models from clinical infections is important to better understand bacterial infections and will be necessary to create model systems that more accurately capture the biology of infection.

The number and diversity of known CRISPR–Cas systems have substantially increased in recent years. Here, we provide an updated evolutionary classification of CRISPR–Cas systems and cas genes, with an emphasis on the major developments that have occurred since the publication of the latest classification, in 2015. The new classification includes 2 classes, 6 types and 33 subtypes, compared with 5 types and 16 subtypes in 2015. A key development is the ongoing discovery of multiple, novel class 2 CRISPR–Cas systems, which now include 3 types and 17 subtypes. A second major novelty is the discovery of numerous derived CRISPR–Cas variants, often associated with mobile genetic elements that lack the nucleases required for interference. Some of these variants are involved in RNA-guided transposition, whereas others are predicted to perform functions distinct from adaptive immunity that remain to be characterized experimentally. The third highlight is the discovery of numerous families of ancillary CRISPR-linked genes, often implicated in signal transduction. Together, these findings substantially clarify the functional diversity and evolutionary history of CRISPR–Cas.The number and diversity of known CRISPR–Cas systems have substantially increased in recent years. In this Review, Koonin and colleagues provide an updated evolutionary classification of CRISPR–Cas systems and cas genes, with an emphasis on major developments, and outline a complete scenario for the origins and evolution of CRISPR–Cas systems.

Biofilm formation is a process in which microbial cells aggregate to form collectives that are embedded in a self-produced extracellular matrix. Bacillus subtilis is a Gram-positive bacterium that is used to dissect the mechanisms controlling matrix production and the subsequent transition from a motile planktonic cell state to a sessile biofilm state. The collective nature of life in a biofilm allows emergent properties to manifest, and B. subtilis biofilms are linked with novel industrial uses as well as probiotic and biocontrol processes. In this Review, we outline the molecular details of the biofilm matrix and the regulatory pathways and external factors that control its production. We explore the beneficial outcomes associated with biofilms. Finally, we highlight major advances in our understanding of concepts of microbial evolution and community behaviour that have resulted from studies of the innate heterogeneity of biofilms.In this Review, Stanley-Wall and colleagues provide an overview of biofilm composition and formation in Bacillus subtilis and how this research is informing microbial evolution and ecology and aiding in the development of beneficial applications for biofilms.

In this Opinion article, Herskovits and colleagues introduce an emerging class of bacteria–phage symbiotic interaction — which they term 'active lysogeny' — in which phages regulate the expression of bacterial genes by precise insertion and excision events. Unlike lytic phages, temperate phages that enter lysogeny maintain a long-term association with their bacterial host. In this context, mutually beneficial interactions can evolve that support efficient reproduction of both phages and bacteria. Temperate phages are integrated into the bacterial chromosome as large DNA insertions that can disrupt gene expression, and they may pose a fitness burden on the cell. However, they have also been shown to benefit their bacterial hosts by providing new functions in a bacterium–phage symbiotic interaction termed lysogenic conversion. In this Opinion article, we discuss another type of bacterium–phage interaction, active lysogeny, in which phages or phage-like elements are integrated into the bacterial chromosome within critical genes or operons and serve as switches that regulate bacterial genes via genome excision.

Root–nodule symbiosis between leguminous plants and nitrogen-fixing bacteria (rhizobia) involves molecular communication between the two partners. Key components for the establishment of symbiosis are rhizobium-derived lipochitooligosaccharides (Nod factors; NFs) and their leguminous receptors (NFRs) that initiate nodule development and bacterial entry. Here we demonstrate that the soybean microsymbiont Bradyrhizobium elkanii uses the type III secretion system (T3SS), which is known for its delivery of virulence factors by pathogenic bacteria, to promote symbiosis. Intriguingly, wild-type B. elkanii , but not the T3SS-deficient mutant, was able to form nitrogen-fixing nodules on soybean nfr mutant En1282. Furthermore, even the NF-deficient B. elkanii mutant induced nodules unless T3SS genes were mutated. Transcriptional analysis revealed that expression of the soybean nodulation-specific genes ENOD40 and NIN was increased in the roots of En1282 inoculated with B. elkanii but not with its T3SS mutant, suggesting that T3SS activates host nodulation signaling by bypassing NF recognition. Root-hair curling and infection threads were not observed in the roots of En1282 inoculated with B. elkanii , indicating that T3SS is involved in crack entry or intercellular infection. These findings suggest that B. elkanii has adopted a pathogenic system for activating host symbiosis signaling to promote its infection.

High-throughput technologies, offering an unprecedented wealth of quantitative data underlying the makeup of living systems, are changing biology. Notably, the systematic mapping of the relationships between biochemical entities has fueled the rapid development of network biology, offering a suitable framework to describe disease phenotypes and predict potential drug targets. However, our ability to develop accurate dynamical models remains limited, due in part to the limited knowledge of the kinetic parameters underlying these interactions. Here,we explore the degree to which we can make reasonably accurate predictions in the absence of the kinetic parameters. We find that simple dynamically agnostic models are sufficient to recover the strength and sign of the biochemical perturbation patterns observed in 87 biological models for which the underlying kinetics are known. Surprisingly, a simple distance-based model achieves 65% accuracy. We show that this predictive power is robust to topological and kinetic parameter perturbations, and we identify key network properties that can increase up to 80% the recovery rate of the true perturbation patterns. We validate our approach using experimental data on the chemotactic pathway in bacteria, finding that a network model of perturbation spreading predicts with ∼80% accuracy the directionality of gene expression and phenotype changes in knock-out and overproduction experiments. These findings show that the steady advances in mapping out the topology of biochemical interaction networks opens avenues for accurate perturbation spread modeling, with direct implications for medicine and drug development.

Key Points The stringent response is a regulatory mechanism that is controlled by members of the RelA–SpoT homologue (RSH) protein family in response to stress in bacteria. It is mediated by two related alarmone nucleotides, guanosine tetraphosphate and guanosine pentaphosphate, which are collectively referred to as (p)ppGpp. The RSH enzymes can be divided into two categories: long, multidomain proteins (RelA, Rel and SpoT) and short, single-domain enzymes (small alarmone synthetases (SASs) and small alarmone hydrolases (SAHs)). The enzymatic activity of the long enzymes is regulated by interactions with molecular effectors, such as 'starved' ribosomes in the case of RelA, and the activity of short RSHs is regulated at the transcriptional level. The regulatory role of (p)ppGpp in general metabolism is exerted by direct and indirect mechanisms. The direct mechanisms rely on the alarmone binding to and regulating a molecular target, whereas indirect mechanisms rely on changes in the concentrations of GTP and ATP, elicited by (p)ppGpp production. The primary target of (p)ppGpp-mediated regulation is transcription. In Escherichia coli , this regulation relies on direct binding of the alarmone to the β′- and ω-subunits of RNA polymerase (RNAP), whereas in Bacillus subtilis , regulation is indirect and relies on changes in the concentration of the initiator nucleotide. In addition to transcription, (p)ppGpp production regulates several other cellular processes, such as protein biosynthesis, replication, the acid stress response, polyphosphate metabolism, biosynthesis and uptake of nucleotides, and (via a direct interaction with RelA) the stringent response itself. The effects of (p)ppGpp span a continuum from acute survival responses elicited by stresses such as nutrient deprivation or heat shock, mediated by high (p)ppGpp levels, to the 'housekeeping' role of basal (p)ppGpp levels in normal metabolic proesses, such as the production of amino acids and nucleotides. The stringent response has a key role in bacterial virulence and persistence (the formation of antibiotic-tolerant cells). This has prompted the recent development of specific inhibitors of this process, which serve as a starting point for the future development of novel antivirulence compounds. In this Review, Gerdes and colleagues discuss the multifaceted alarmones guanosine tetraphosphate and guanosine pentaphosphate (collectively referred to as (p)ppGpp) and their functions in the regulation of bacterial physiology, including their synthesis and degradation, as well as their role in transcriptional regulation, in GTP biosynthesis and in the formation of bacterial persisters. The alarmones guanosine tetraphosphate and guanosine pentaphosphate (collectively referred to as (p)ppGpp) are involved in regulating growth and several different stress responses in bacteria. In recent years, substantial progress has been made in our understanding of the molecular mechanisms of (p)ppGpp metabolism and (p)ppGpp-mediated regulation. In this Review, we summarize these recent insights, with a focus on the molecular mechanisms governing the activity of the RelA/SpoT homologue (RSH) proteins, which are key players that regulate the cellular levels of (p)ppGpp. We also discuss the structural basis of transcriptional regulation by (p)ppGpp and the role of (p)ppGpp in GTP metabolism and in the emergence of bacterial persisters.