Translation is a crucial factor in determining the rate of protein biosynthesis; for this reason, bacterial species typically evolve features to improve translation efficiency. Biosynthesis is a finely tuned cellular process aimed at providing the cell with an appropriate amount of proteins and RNAs to fulfill all of its metabolic functions. A key bacterial feature for faster recognition of the start codon on mRNA is the binding between the anti-Shine-Dalgarno (aSD) sequence on prokaryotic ribosomes at the 3’ end of the small subunit (SSU) 16S rRNA and Shine-Dalgarno (SD) sequence, a purine-rich sequence located upstream of the start codon in the mRNA. This binding helps to facilitate positioning of initiation codon at the ribosomal P site. This pairing, as well as factors such as the location of aSD binding relative to the start codon and the sequence of the aSD motif can heavily influence translation efficiency. The objective of this thesis is to understand the SD-aSD interactions and how changes in aSD sequences can affect SD sequences in addition to the underlying impact these changes have on the translational efficiency of prokaryotes. In chapter two, we hypothesized that differences in the prevalence of SD motifs between B. subtilis and E. coli arise as a result of changes in the free 3' end of 16S rRNA which may have led B. subtilis and E. coli to evolve differently. E. coli is expected to be more amenable to the acquisition of SD motifs that do not perfectly correspond with its free 3’ 16S rRNA end than B. subtilis. Further, we proposed that the evolutionary divergence of these upstream sequences may be exacerbated in B. subtilis by the absence of a functional S1 protein. Based on the differences between E. coli and B. subtilis, we were able to identify SD motifs that can only perfectly base pair in one of the two species and are expected to work well in one species, but not the other. Furthermore, we determine the frequency and proportion of these specific SD motifs that are expected to be preferentially present in one of the two species. Our motif detection is in keeping with the expectation that the predicted five categories of SD that are associated with B. subtilis and are expected to be less efficient in E. coli exhibit greater usage in the former than latter. Similarly, the predicted category of SD motifs associated with the E. coli 16S rRNA 3’ end is used more frequently in E. coli.Across prokaryote genomes, translation initiation efficiency varies due to codon usage differences whereas among genes, translation initiation varies because different genes vary in SD strength and location. In chapter 3 we hypothesized that there is differential translation initiation between 16 archaeal and 26 bacterial genomes. Translation initiation was found to be more efficient in Gram-positive than in Gram-negative bacteria and also more efficient in Euryarchaeota than in Crenarchaeota. We assessed the efficiency of translation initiation by measuring: i) the SD sequence’s strength and position and ii) the stability of the secondary structure flanking the start codon, which both affect accessibility of the start codon

Terrestrial inputs of organic matter contribute greatly to the functioning of aquatic ecosystems, subsidizing between 30-70% of secondary production. This contribution of terrestrial resources is especially important in boreal lakes that are largely nutrient-poor and thus more responsive to these additions. Yet the mechanisms underlying initial processing of terrestrial resources by microbial communities at the base of lake food webs remain poorly understood. With this in mind, this thesis aims to advance our understanding of lake sediment microbial community assembly and functioning along abiotic gradients, primarily reflecting variation in terrestrial organic matter inputs that are predicted to increase with future environmental change. Chapter 1 reviews current knowledge on the terrestrial support of lake food webs and highlights gaps in understanding the factors influencing the microbial processing of terrestrial resources. It also provides an overview of metagenomics methods for microbial community analysis and their development over the course of the thesis. Chapter 2 tests how much of ecosystem functioning is explained by microbial community structure relative to other ecosystem properties such as the present-day and past environment. Theory predicts that ecosystem functioning, here measured as CO2 production, should increase with diversity, but the individual and interactive effects of other ecosystem properties on ecosystem functioning remain unresolved. Chapter 3 further questions the importance of microbial diversity for ecosystem functioning by asking whether more diverse microbial communities stabilize ubiquitous functions like CO2 production and microbial abundances through time. It also aims to identify the biotic and abiotic mechanisms underlying positive diversity-stability relationships. Chapter 4 then explores how microbial communities assemble and colonize sediments with varying types and amounts of terrestrial organic matter in three different lakes over a two-month period. Understanding how microbial communities change in relation to sediment and lake conditions can help predict downstream ecosystem functions. Finally, Chapter 5 discusses the main findings of the thesis and ends with proposed avenues for future research.