Consumption of nutritionally enhanced wheat-oat bread naturally rich in β-glucans originating from extra-wholemeal oat flour with improved digestibility by lactic fermentation provides unambiguous health benefits associated with a slower blood glucose release and a higher subjective satiety determined by a postprandial study. However, an undesirable elevated acrylamide formation in the crust of bread was observed due to a high level of a main precursor amino acid L-asparagine in oat flour. Lactic fermentation of oat flour by Lactobacillus plantarum and 30% substitution of extra-wholemeal oat flour with fermented oat sourdough led to more attractive organoleptic quality of wheat-oat fermented bread and to a decrease of pH value which suppressed acrylamide level up to 10%. As a more effective tool of acrylamide reduction a commercial asparaginase enzyme was used, applied on a surface of the bread loaf during proofing and before baking. This enzyme treatment resulted in a more than 46% decrease of acrylamide in the crust from 390 µg/kg to the level of 210 µg/kg without any alterations to the expected quality of the newly designed bread.

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The study of bacterial organisms is given great emphasis in scientific research. By studying the bacterial genome, scientists can gain knowledge of various infectious diseases. Nowadays, it is even possible to edit genes and thus advancing the field of tailored medicine by treating many genetic diseases. Furthermore, it is becoming the norm to utilize bacteria in the industry for their ability to produce important products such as plastics, or fuels. It is therefore essential to extract the necessary information about its genes and other features. This paper focuses mainly on improving the functional annotation of bacterial genomes, classification of protein-coding sequences into clusters of orthologous groups, and visualization of the final annotated genome. For this task, the python package was developed with several functions for working with the outputs of multiple annotation tools, namely eggNOG-mapper, Operon-mapper, and Batch CD-Search. The package was tested on Clostridium diolis DSM 15410 and Clostridium beijerinckii DSM 791.