R. meliloti carrying defined deletions that remove fix114 form Fix- nodules which are devoid of intracellular bacteria. Occasionally strains which carry these deletions form pink nodules which appear effective in contrast to the normal white ineffective nodules formed by strains carrying fix114 mutations. Bacteria isolated from these pink nodules retain the original deletion and form effective pink nodules when reinoculated onto alfalfa. It is hypothesized that these isolates carry second site mutations which enable the bacteria to overcome the symbiotic block associated with the fix114 mutation. In this work, five independent isolates were examined and were shown to carry second site mutations that suppress the symbiotic ineffectiveness completely on alfalfa and incompletely on sweet clover. The five independent second site revertants can be divided into two classes based on genetic data and on their sensitivity to detergents and both classes were localized to the chromosome of the wild type Rm1021. One such second site revertant allele, sfx-1, was cloned and localized to a large 18 kb BamHI fragment. / Thesis / Master of Science (MS)

A thesis submitted to the School of Graduate Studies in partial fulfillment of the requirements for the degree Master of Science / The effect of changing environmental conditions on microbial population structure can be observed at both the species and community level. Within the Escherichia coli species, null mutations in the RpoS stationary phase regulator are commonly selected by growth on poor carbon sources. In contrast, mutations which restore RpoS function may provide a selective advantage for cells exposed to environmental stress. The loss and subsequent restoration of RpoS form a population-level switch for adaptation within poor carbon and high stress environments. To investigate selection for RpoS reversion, we exposed rpoS-deficient E. coli to high salt concentrations and assessed the phenotype of presumptive mutants. 3-9% of salt-resistant mutants contained reversion mutations within rpoS, while in 91-97% the loss of RpoS function was maintained and mutations at alternative gene loci were identified. These results show that RpoS function can be restored in deficient E. coli under selective pressure. At the community level, the application of next-generation sequencing (NGS) technology to characterize environmental microbial diversity can potentially augment traditional water quality monitoring methods. To investigate the use of NGS in identifying microbial taxa within the Niagara Region, we collected water samples from Lake Erie, Lake Ontario, and nearby areas and examined the metagenome of microbial communities. A QIIME (Quantitative Insights Into Microbial Ecology) analysis of sequence data identified significant differences in relative microbial abundance with respect to sample metadata (e.g. location and subtype), significant correlations between relative abundance and quantitative parameters (e.g. Escherichia coli counts and fecal DNA markers), and detected pathogen-containing taxa at a relative abundance of 0.1-1.5%. These results show that sequence-based analyses can be used in conjunction with traditional identification methods to profile the metagenomic community of environmental samples and predict water quality. Both within-species and community-wide analyses thus offer insight into how microbial populations respond and adapt to environmental fluctuations. / Thesis / Master of Science (MSc) / The effect of changing environmental conditions on microbial population structure can be observed at both the species and community level. Within the Escherichia coli species, we investigated reversion of loss of function mutations in the RpoS protein regulator in high salt conditions and identified RpoS restoration under selective pressure. At the community level, we examined the microbial DNA of water samples from the Niagara Region under select environmental conditions and assessed the viability of next-generation sequencing in augmenting traditional water quality monitoring methods. Both within-species and community-wide analyses offer insight into how microbial populations respond and adapt to environmental fluctuations.