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The focus of this thesis is the investigation of the evolution and cellular processes of Tuwongella immobilis and Apilactobacillus kunkeei, two bacterial species with different levels of genomic and cellular complexity, using a multi-omics approach.

In the first study we examined the proteome of T. immobilis with LC-MS/MS after fractionation by differential solubilisation, yielding fractions corresponding to the cytoplasm, inner membrane, and outer membrane. The experiment was repeated with Escherichia coli and the results were compared. T. immobilis had five times as many predicted cytoplasmic proteins in the most hydrophobic fraction as E. coli. Among these are innovations in the Planctomycetota lineage and protein families that have undergone recent paralogisation followed by domain shuffling, including many enzymes related to information processing.

The remaining three studies dealt with honeybee symbiont A. kunkeei. In the first of these, we sequenced and compared the chromosomal and extrachromosomal content of 102 novel A. kunkeei strains. We found that A. kunkeei has an open pangenome and an active set of transposable elements. Within the population we discovered three plasmids between 19.5 and 32.9 kb, one of which codes for enzymes involved in the synthesis of the antimicrobial compound kunkecin A which inhibits growth of the bee pathogen Melisococcus plutonius.

In the next study we collected transcriptomic, proteomic, and metabolomic data from two growth phases from A. kunkeei strain A1401 and mapped the results to a metabolic pathway model. Enzymes involved in fermentation of fructose were highly expressed during the exponential growth phase. Enzymes involved in UMP biosynthesis were upregulated during stationary phase, as were protein involved in stress response and detoxification.

The last study concerned the secretome of A. kunkeei. We characterised two types of extracellular particles from A. kunkeei strains A1401 and A0901. One type of particle was found to be proteinaceous, while the other type constituted membrane vesicles containing RNA. Comparison of transcriptomic data from the membrane vesicles and whole cells showed that the packing of the RNA was largely untargeted, but with a bias towards highly expressed mRNAs. We suggest that the cell uses membrane vesicles as a mechanism to get rid of superfluous mRNAs after rapid-response overexpression.

Together these studies provide insights into the processes driving evolution in T. immobilis and A. kunkeei, and generate several testable hypotheses for future studies.