All living organisms fall into discrete clusters of closely related individuals on the basis of gene sequence similarity. Evolutionary genetic theory predicts that in the bacterial world, each sequence similarity cluster should correspond to an ecologically distinct population. Indeed, surveys of sequence diversity in proteincoding genes show that sequence clusters correspond to ecological populations. Future population surveys of protein-coding gene sequences can be expected to disclose many previously unknown ecological populations of bacteria. Sequence similarity clustering in protein-coding genes is recommended as a primary criterion for demarcating taxa.For two decades, systematists have applied whole-genome hybridization as a universal criterion for demarcating species of bacteria: systematists have widely recognized bacterial species as phenotypically distinct groups of strains with 70% or greater annealing of genomic fragments in DNA-DNA hybridization (36,85). This criterion has been widely used because it can be easily applied to any taxon, and most importantly, the groupings of bacteria based on DNA-DNA hybridization are often the same as those based on phenotypic characters and ecology (36).However, it is becoming increasingly evident that any particular cut-off value (such as 70%) is arbitrary and not guaranteed to yield groups of bacteria that correspond to real ecological units (82). Also, it is not clear what determines the fraction of genomic segments that anneal in hybridization experiments (82; but see reference 43): is it the fraction of genes that are shared or the sequence similarity at shared gene loci? Accordingly, no evolutionary genetic theory predicts why groups of strains with greater than 70% annealing should correspond to ecologically distinct populations.There is, however, another molecular approach that may provide a universal criterion for classifying bacterial diversity. This approach relies on the observation that all living organisms, both prokaryotic and eukaryotic, fall into clusters of closely related organisms based on the sequence similarity of shared genes (1, 15,48). That is, bacteria and other organisms fall into clearly distinct sequence clusters, where the average sequence divergence between strains of different clusters is far greater than the average divergence between strains of the same cluster. Recent theory has suggested that each sequence similarity cluster observed in the bacterial world might correspond to an ecologically distinct population (14, 15, 17, 18). If this conjecture is correct, then a classification system based on sequence clusters would have a theoretical grounding that is lacking in the genomic hybridization approach.In this study, we will demonstrate that the DNA sequences of protein-coding genes are more effective than DNA-DNA hybridization for classifying the ecological diversity of bacteria. We first extend the theoretical argument of Cohan (14) that

Acinetobacter baumannii is recognized as an emerging bacterial pathogen because of traits such as prolonged survival in a desiccated state, effective nosocomial transmission, and an inherent ability to acquire antibiotic resistance genes. A pressing need in the field of A. baumannii research is a suitable model strain that is representative of current clinical isolates, is highly virulent in established animal models, and can be genetically manipulated. To identify a suitable strain, a genetically diverse set of recent U.S. military clinical isolates was assessed. Pulsed-field gel electrophoresis and multiplex PCR determined the genetic diversity of 33 A. baumannii isolates. Subsequently, five representative isolates were tested in murine pulmonary and Galleria mellonella models of infection. Infections with one strain, AB5075, were considerably more severe in both animal models than those with other isolates, as there was a significant decrease in survival rates. AB5075 also caused osteomyelitis in a rat open fracture model, while another isolate did not. Additionally, a Tn5 transposon library was successfully generated in AB5075, and the insertion of exogenous genes into the AB5075 chromosome via Tn7 was completed, suggesting that this isolate may be genetically amenable for research purposes. Finally, proof-of-concept experiments with the antibiotic rifampin showed that this strain can be used in animal models to assess therapies under numerous parameters, including survival rates and lung bacterial burden. We propose that AB5075 can serve as a model strain for A. baumannii pathogenesis due to its relatively recent isolation, multidrug resistance, reproducible virulence in animal models, and genetic tractability.

e Patients recovering from traumatic injuries or surgery often require weeks to months of hospitalization, increasing the risk for wound and surgical site infections caused by ESKAPE pathogens, which include A. baumannii (the ESKAPE pathogens are Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species). As new therapies are being developed to counter A. baumannii infections, animal models are also needed to evaluate potential treatments. Here, we present an excisional, murine wound model in which a diminutive inoculum of a clinically relevant, multidrug-resistant A. baumannii isolate can proliferate, form biofilms, and be effectively treated with antibiotics. The model requires a temporary, cyclophosphamide-induced neutropenia to establish an infection that can persist. A 6-mmdiameter, full-thickness wound was created in the skin overlying the thoracic spine, and after the wound bed was inoculated, it was covered with a dressing for 7 days. Uninoculated control wounds healed within 13 days, whereas infected, placebo-treated wounds remained unclosed beyond 21 days. Treated and untreated wounds were assessed with multiple quantitative and qualitative techniques that included gross pathology, weight loss and recovery, wound closure, bacterial burden, 16S rRNA community profiling, histopathology, peptide nucleic acid-fluorescence in situ hybridization, and scanning electron microscopy assessment of biofilms. The range of differences that we are able to identify with these measures in antibiotic-versus placebo-treated animals provides a clear window within which novel antimicrobial therapies can be assessed. The model can be used to evaluate antimicrobials for their ability to reduce specific pathogen loads in wounded tissues and clear biofilms. Ultimately, the mouse model approach allows for highly powered studies and serves as an initial multifaceted in vivo assessment prior to testing in larger animals.

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Biofilm formation by pathogenic bacteria is an important virulence factor in the development of numerous chronic infections, thereby causing a severe health burden. Many of these infections cannot be resolved, as bacteria in biofilms are resistant to the host’s immune defenses and antibiotic therapy. An urgent need for new strategies to treat biofilm-based infections is critically needed. Cyclic di-GMP (c-di-GMP) is a widely conserved second-messenger signal essential for biofilm formation. The absence of this signalling system in higher eukaryotes makes it an attractive target for the development of new anti-biofilm agents. In this study, the results of an in silico pharmacophore-based screen to identify small-molecule inhibitors of diguanylate cyclase (DGC) enzymes that synthesize c-di-GMP are described. Four small molecules, LP 3134, LP 3145, LP 4010 and LP 1062 that antagonize these enzymes and inhibit biofilm formation by Pseudomonas aeruginosa and Acinetobacter baumannii in a continuous-flow system are reported. All four molecules dispersed P. aeruginosa biofilms and inhibited biofilm development on urinary catheters. One molecule dispersed A. baumannii biofilms. Two molecules displayed no toxic effects on eukaryotic cells. These molecules represent the first compounds identified from an in silico screen that are able to inhibit DGC activity to prevent biofilm formation.

Objective To evaluate the potential impact of intrapartum antibiotics, and their specific classes, on the infant gut microbiota in the first year of life. Design Prospective study of infants in the New Hampshire Birth Cohort Study (NHBCS). Settings Rural New Hampshire, USA. Population or sample Two hundred and sixty-six full-term infants from the NHBCS. Methods Intrapartum antibiotic use during labour and delivery was abstracted from medical records. Faecal samples collected at 6 weeks and 1 year of age were characterised by 16S rRNA sequencing, and metagenomics analysis in a subset of samples. Exposures Maternal exposure to antibiotics during labour and delivery. Main outcome measure Taxonomic and functional profiles of faecal samples. Results Infant exposure to intrapartum antibiotics, particularly to two or more antibiotic classes, was independently associated with lower microbial diversity scores as well as a unique bacterial community at 6 weeks (GUnifrac, P = 0.02). At 1 year, infants in the penicillin-only group had significantly lower α diversity scores than infants not exposed to intrapartum antibiotics. Within the first year of life, intrapartum exposure to penicillins was related to a significantly lower increase in several taxa including Bacteroides, use of cephalosporins was associated with a significantly lower rise over time in Bifidobacterium and infants in the multi-class group experienced a significantly higher increase in Veillonella dispar. Conclusions Our findings suggest that intrapartum antibiotics alter the developmental trajectory of the infant gut microbiome, and specific antibiotic types may impact community composition, diversity and keystone immune training taxa.

Bacillus globisporus and Bacillus psychrophilus are one among many pairs of ecologically distinct taxa that are distinguished by very few nucleotide differences in 16S rRNA gene sequence. This study has investigated whether the lack of divergence in 16S rRNA between such species stems from the unusually slow rate of evolution of this molecule, or whether other factors might be preventing neutral sequence divergence at 16S rRNA as well as every other gene. B. globisporus and B. psychrophilus were each surveyed for restriction-site variation in two protein-coding genes. These species were easily distinguished as separate DNA sequence clusters for each gene. The limited ability of 16S rRNA to distinguish these species is therefore a consequence of the extremely slow rate of 16S rRNA evolution. The present results, and previous results involving two Mycobacterium species, demonstrate that there exist closely related species which have diverged long enough to have formed clearly separate sequence clusters for protein-coding genes, but not for 16S rRNA. These results support an earlier argument that sequence clustering in protein-coding genes could be a primary criterion for discovering and identifying ecologically distinct groups, and classifying them as separate species.

Background The human gut microbiome harbors a collection of bacterial antimicrobial resistance genes (ARGs) known as the resistome. The factors associated with establishment of the resistome in early life are not well understood. We investigated the early-life exposures and taxonomic signatures associated with resistome development over the first year of life in a large, prospective cohort in the United States. Shotgun metagenomic sequencing was used to profile both microbial composition and ARGs in stool samples collected at 6 weeks and 1 year of age from infants enrolled in the New Hampshire Birth Cohort Study. Negative binomial regression and statistical modeling were used to examine infant factors such as sex, delivery mode, feeding method, gestational age, antibiotic exposure, and infant gut microbiome composition in relation to the diversity and relative abundance of ARGs. Results Metagenomic sequencing was performed on paired samples from 195 full term (at least 37 weeks’ gestation) and 15 late preterm (33–36 weeks’ gestation) infants. 6-week samples compared to 1-year samples had 4.37 times (95% CI: 3.54–5.39) the rate of harboring ARGs. The majority of ARGs that were at a greater relative abundance at 6 weeks (chi-squared p < 0.01) worked through the mechanism of antibiotic efflux. The overall relative abundance of the resistome was strongly correlated with Proteobacteria (Spearman correlation = 78.9%) and specifically Escherichia coli (62.2%) relative abundance in the gut microbiome. Among infant characteristics, delivery mode was most strongly associated with the diversity and relative abundance of ARGs. Infants born via cesarean delivery had a trend towards a higher risk of harboring unique ARGs [relative risk = 1.12 (95% CI: 0.97–1.29)] as well as having an increased risk for overall ARG relative abundance [relative risk = 1.43 (95% CI: 1.12–1.84)] at 1 year compared to infants born vaginally. Conclusions Our findings suggest that the developing infant gut resistome may be alterable by early-life exposures. Establishing the extent to which infant characteristics and early-life exposures impact the resistome can ultimately lead to interventions that decrease the transmission of ARGs and thus the risk of antibiotic resistant infections.