Pseudomonas syringae is a common foliar bacterium responsible for many important plant diseases. We studied the population structure and dynamics of the core genome of P. syringae via multilocus sequencing typing (MLST) of 60 strains, representing 21 pathovars and 2 nonpathogens, isolated from a variety of plant hosts. Seven housekeeping genes, dispersed around the P. syringae genome, were sequenced to obtain 400 to 500 nucleotides per gene. Forty unique sequence types were identified, with most strains falling into one of four major clades. Phylogenetic and maximum-likelihood analyses revealed a remarkable degree of congruence among the seven genes, indicating a common evolutionary history for the seven loci. MLST and population genetic analyses also found a very low level of recombination. Overall, mutation was found to be approximately four times more likely than recombination to change any single nucleotide. A skyline plot was used to study the demographic history of P. syringae . The species was found to have maintained a constant population size over time. Strains were also found to remain genetically homogeneous over many years, and when isolated from sites as widespread as the United States and Japan. An analysis of molecular variance found that host association explains only a small proportion of the total genetic variation in the sample. These analyses reveal that with respect to the core genome, P. syringae is a highly clonal and stable species that is endemic within plant populations, yet the genetic variation seen in these genes only weakly predicts host association.

Understanding the significance of bacterial species that colonize and persist in cystic fibrosis (CF) airways requires a detailed examination of bacterial community structure across a broad range of age and disease stage. We used 16S ribosomal RNA sequencing to characterize the lung microbiota in 269 CF patients spanning a 60 year age range, including 76 pediatric samples from patients of age 4–17 and a broad cross-section of disease status to identify features of bacterial community structure and their relationship to disease stage and age. The CF lung microbiota shows significant inter-individual variability in community structure, composition and diversity. The core microbiota consists of five genera - Streptococcus, Prevotella, Rothia, Veillonella and Actinomyces. CF-associated pathogens such as Pseudomonas, Burkholderia, Stenotrophomonas and Achromobacter are less prevalent than core genera, but have a strong tendency to dominate the bacterial community when present. Community diversity and lung function are greatest in patients less than 10 years of age and lower in older age groups, plateauing at approximately age 25. Lower community diversity correlates with worse lung function in a multivariate regression model. Infection by Pseudomonas correlates with age-associated trends in community diversity and lung function.

Background: Multiple studies have demonstrated that early-life exposure to pets or siblings affords protection against allergic disease; these associations are commonly attributed to the “hygiene hypothesis”. Recently, low diversity of the infant gut microbiota has also been linked to allergic disease. In this study, we characterize the infant gut microbiota in relation to pets and siblings. Methods: The study population comprised a small sub-sample of 24 healthy, full term infants from the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort. Mothers reported on household pets and siblings. Fecal samples were collected at 4 months of age, and microbiota composition was characterized by high-throughput signature gene sequencing. Results: Microbiota richness and diversity tended to be increased in infants living with pets, whereas these measures were decreased in infants with older siblings. Infants living with pets exhibited under-representation of Bifidobacteriaceae and over-representation of Peptostreptococcaceae; infants with older siblings exhibited under-representation of Peptostreptococcaceae. Conclusions: This study provides new evidence that exposure to pets and siblings may influence the early development of the gut microbiota, with potential implications for allergic disease. These two traditionally protective “hygiene hypothesis” factors appear to differentially impact gut microbiota composition and diversity, calling into question the clinical significance of these measures. Further research is required to confirm and expand these findings.

Summary: Next‐generation genomic sequencing technologies have made it possible to directly map mutations responsible for phenotypes of interest via direct sequencing. However, most mapping strategies proposed to date require some prior genetic analysis, which can be very time‐consuming even in genetically tractable organisms. Here we present a de novo method for rapidly and robustly mapping the physical location of EMS mutations by sequencing a small pooled F₂ population. This method, called Next Generation Mapping (NGM), uses a chastity statistic to quantify the relative contribution of the parental mutant and mapping lines to each SNP in the pooled F₂ population. It then uses this information to objectively localize the candidate mutation based on its exclusive segregation with the mutant parental line. A user‐friendly, web‐based tool for performing NGM analysis is available at http://bar.utoronto.ca/NGM. We used NGM to identify three genes involved in cell‐wall biology in Arabidopsis thaliana, and, in a power analysis, demonstrate success in test mappings using as few as ten F₂ lines and a single channel of Illumina Genome Analyzer data. This strategy can easily be applied to other model organisms, and we expect that it will also have utility in crops and any other eukaryote with a completed genome sequence.