% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @PHDTHESIS{Hoffmann:995158, author = {Hoffmann, Kyra}, othercontributors = {Büchs, Jochen and Conrath, Uwe}, title = {{O}nline analysis of microbial γ-polyglutamic acid production and plant defense priming in small-scale cell culture}, school = {Rheinisch-Westfälische Technische Hochschule Aachen}, type = {Dissertation}, address = {Aachen}, publisher = {RWTH Aachen University}, reportid = {RWTH-2024-09757}, pages = {1 Online-Ressource : Illustrationen}, year = {2024}, note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen University; Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2024}, abstract = {The development of online analytical tools significantly accelerates research of bioprocesses in small shaken cultures. This thesis demonstrates the application of online analytics for two processes. Firstly for the production of poly--glutamic acid (γ-PGA) in shake flasks and secondly for the detection of priming-active compounds with parsley cell cultures in microtiter plates. These two diverse research topics demonstrate the power of online analytic tools in small culture scale. The first chapter of this thesis is about the online screening of γ-PGA, a biopolymer with a wide range of applications. The γ-PGA was produced with genetically modified Bacillus subtilis 168 strains. The formation and concomitant secretion of γ-PGA increase the culture broth viscosity, while enzymatic depolymerization and degradation of γ-PGA by native depolymerases decrease the viscosity. The viscosity monitoring online system (ViMOS) was applied for optical online measurements of broth viscosity in shake flasks. This online monitoring enabled the analysis of the promoter Ppst in combination with different γ PGA depolymerase and by-product knockout mutants in genetically modified B. subtilis 168 strains. The different single depolymerase knockout mutants were ∆ggt, ∆pgdS, ∆cwlO, and a triple knockout mutant. Additionally, to the Ppst promoter, the γ-PGA production under the control of the Pxyl promoter was analyzed. An increase in γ-PGA yield in gγ PGA/gglucose of $190\%$ could be achieved with the triple knockout mutant compared to the Ppst reference strain. The strain with the Pxyl promoter produced even 8.4 gγ-PGA/molcarbon. This is a higher γ-PGA yield than achieved using the glutamic acid-dependent γ-PGA producer Bacillus licheniformis ATCC 9945. Therefore, Bacillus subtilis Pxyl is a promising candidate for γ-PGA production with glucose as the sole carbon source. The second chapter of this thesis presents a biochemical approach to detect defense priming in parsley cell cultures in microtiter plates. Conventional crop protection has major drawbacks, such as developing pest and pathogen insensitivity to pesticides and low environmental compatibility. Therefore, alternative crop protection strategies are needed. One approach treats crops with chemical compounds that induce a primed state of enhanced defense. Online identification of priming-inducing chemistry by recording breathing activity with the oxygen transfer rate (OTR) represents a highly informative approach to spot priming-activating chemistry. This thesis shows the online measurement of the dissolved oxygen tension (DOT) in microtiter plates (MTPs) and the calculation of the OTR from the DOT to be a valid tool to draw conclusions regarding priming-inducing activity. Furthermore, the fluorescence of the priming-active reference compound salicylic acid (SA) and furanocoumarins was simultaneously monitored online in MTPs. Determining the OTR, fluorescence of the priming-active chemical compound SA, and furanocoumarins in parsley suspension cultures in MTPs by online measurement allows an in-depth screening for priming compounds and a better understanding of the priming process induced by a given substance.}, cin = {416510 / 161620 / 161710}, ddc = {620}, cid = {$I:(DE-82)416510_20140620$ / $I:(DE-82)161620_20140620$ / $I:(DE-82)161710_20140620$}, pnm = {SeleCa - Selectivity in Chemo- and Biocatalysis (SeleCa) (SELECA-20170406) / Doktorandenprogramm (PHD-PROGRAM-20170404)}, pid = {G:(DE-Juel1)SELECA-20170406 / G:(DE-HGF)PHD-PROGRAM-20170404}, typ = {PUB:(DE-HGF)11}, doi = {10.18154/RWTH-2024-09757}, url = {https://publications.rwth-aachen.de/record/995158}, }