Search for dissertations about: "Bacterial genetics"
Showing result 16 - 20 of 66 swedish dissertations containing the words Bacterial genetics.
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16. Deciphering control of Mechano-Transcription Activators of σ54-RNA polymerase
Abstract : To survive and proliferate, bacteria have to respond to a plethora of fluctuating signals within their habitats. Transcriptional control is one crucial entry point for such signal-responsive adaption responses. READ MORE
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17. Experimental Evolution : and Fitness Effects of Mutations
Abstract : Bacteria have small, streamlined genomes and evolve rapidly. Their large population sizes allow selection to be the main driver of evolution. With advances in sequencing technologies and precise methods for genetic engineering, many bacteria are excellent models for studying elementary questions in evolutionary biology. READ MORE
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18. Carbon metabolism in non-conventional yeasts: biodiversity, origins of aerobic fermentation and industrial applications
Abstract : Abstract: For millennia, the “yeast” Saccharomyces cerevisiae remains by far the most extensively studied and exploited yeast in food and industrial applications. A number of researches and developments have been done since the establishment of the biochemical function of yeast by Louis Pasteur in 1860, however modern lifestyles often connected to food related health trends demand new and innovative food products. READ MORE
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19. Molecular Genetic Studies of ALSG, Kostmann Syndrome and a Novel Chromosome 10 Inversion
Abstract : In summary, this thesis presents the localisation and identification of genetic variants of which some are disease associated and some considered to be neutral. Knowledge of the basic mechanisms behind human disorders is important both from a biological and medical point of view. READ MORE
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20. Statistical assessment of genomic variability in tumours and bacterial communities
Abstract : Current high-throughput DNA sequencing technologies have the ability to generate large amounts of high-resolution genomic data. The high dimensionality in combination with the substantial levels of technical errors and biological variability typically present in the data make, however, the analysis challenging. READ MORE