colonies on skim milk- containing plates at 65 °C. Five of them with larger proteolytic indexes, designated as 2b, 4b, 9a, 9b, and 12L, were selected for further studies. The ability of these five strains to hydrolyze casein at high temperatures was indicat ed by relatively high activity of their extracellular proteases at 60 °C. Partial protease-encoding genes were amplified from each isolated strain and sequenced. Further bioinformatics analysis suggests that the extracellular proteases that they produced belong to serine proteases. The integrated morphological, biochemical, and genetic analyses showed the identity of the strains 2b, 4b, and 9a as members Bacillus, Pseudomonas Aneurinibacillus of 9b as , and 12L as . To the best of our knowledge, so far thermophilic Pseudomonas Aneurinibacillus and remain poorly investigated in term of extracellular protease production, suggesting the biotechnological potential of the strains 9b and 12L as the producer of a unique extracellular thermostable protease.

Gnida, A., 2020. What do we know about the influence of vacuum on bacterial biocenosis used in environmental biotechnologies? Applied Microbiology and Biotechnology 104, 101-106.

https://doi.org/10.1007/s00253-019-10213-6 The article aims to show the increased interest in the applications of vacuum in the area of environmental biotechnology and the lack of research related to the effects of vacuum on bacteria and microbial communities. Information on the impact of vacuum on bacteria is limited and often comes from unrelated research fields. In most cases (astrobiology research, food preservation technologies), the exposure of microorganisms in vacuum is permanent for the whole life of a cell. In environmental science applications, the exposure of microorganisms containing media such as sludge or soil in vacuum is rather persistent, and lower values of vacuum are used. Vacuum is used or proposed to be used in wastewater treatment, anaerobic digestion, sludge treatment, soil remediation and mining. Usually, vacuum is used to remove gases from the test medium, so a purely physical process is applied. However, most reports show the influence of vacuum on biological processes and its efficiency, as well as on the community structure.

González-Riano, C., Dudzik, D., Garcia, A., Gil-de-la-Fuente, A., Gradillas, A., Godzien, J., López-Gonzálvez, Á., Rey-Stolle, F., Rojo, D., Ruperez, F.J., Saiz, J., Barbas, C., 2020. Recent developments along the analytical process for metabolomics workflows. Analytical Chemistry 92, 203-226.

https://doi.org/10.1021/acs.analchem.9b04553 We are in the midst of a shift in biological research paradigms from reductionist methodologies that generate a hypothesis and rigorously and quantitatively measure the selected variables to 'omics' technologies that measure all of the components in a set in a holistic way and detect variations in compounds between two or more conditions. Among 'omics' technologies, metabolomics is one in which analytical developments have had a profound impact due to the diverse physicochemical properties of metabolites and their different concentration ranges, which require more robust analytical strategies. According to the Working Party on Analytical Chemistry of the European Federation of Chemical Societies, 'Analytical Chemistry is a scientific discipline that develops and applies methods, instruments, and strategies to obtain information on the compositio n and nature of matter in space and time', and the aims of metabolomics fully overlap with the aims of analytical chemistry.(1) However, it seems that metabolomics, and in particular status quo untargeted metabolomics, is disrupting the of the field of analytical chemistry, which for years has focused on developing tools to achieve the most accurate quantification of compounds and is not easily accepting of semiquantitative analyses. In contrast, tools and principles should be developed to make this type of analysis as reliable as possible. Furthermore, quality management, which is broadly adapted from quality assurance (QA) and quality control (QC) guidelines set by analytical chemistry, has already been established as an integral part of metabolomics studies. Our previous work addressed preanalytical, analytical, and postanalytical challenges and provided a comprehensive review of the tools and solutions for controlling every analytical component of untargeted metabolomics workflows.(2) The aim of this review is to follow the main steps of the analytical chemistry process in parallel with recent developments in metabolomics workflows to critically describe how new