Visualizing the pH in Escherichia coli Colonies via the Sensor Protein mCherryEA Allows High-Throughput Screening of Mutant Libraries

A riboswitch-controlled TerC family transporter Alx tunes intracellular manganese concentration in Escherichia coli at alkaline pH

Cells use transition metal ions as structural components of biomolecules and cofactors in enzymatic reactions, making transition metal ions integral cellular components. Organisms optimize metal ion concentration to meet cellular needs by regulating the expression of proteins that import and export that metal ion, often in a metal ion concentration-dependent manner. One such regulation mechanism is via riboswitches, which are 5'-untranslated regions of an mRNA that undergo conformational changes to promote or inhibit the expression of the downstream gene, commonly in response to a ligand. The yybP-ykoY family of bacterial riboswitches shares a conserved aptamer domain that binds manganese ions (Mn2+). In Escherichia coli, the yybP-ykoY riboswitch precedes and regulates the expression of two different genes: mntP, which based on genetic evidence encodes an Mn2+ exporter, and alx, which encodes a putative metal ion transporter whose cognate ligand is currently in question. The expression of alx is upregulated by both elevated concentrations of Mn2+ and alkaline pH. With metal ion measurements and gene expression studies, we demonstrate that the alkalinization of media increases the cytoplasmic manganese pool, which, in turn, enhances alx expression. The Alx-mediated Mn2+ export prevents the toxic buildup of the cellular manganese, with the export activity maximal at alkaline pH. We pinpoint a set of acidic residues in the predicted transmembrane segments of Alx that play a critical role in Mn2+ export. We propose that Alx-mediated Mn2+ export serves as a primary protective mechanism that fine tunes the cytoplasmic manganese content, especially during alkaline stress.IMPORTANCEBacteria use clever ways to tune gene expression upon encountering certain environmental stresses, such as alkaline pH in parts of the human gut and high concentration of a transition metal ion manganese. One way by which bacteria regulate the expression of their genes is through the 5'-untranslated regions of messenger RNA called riboswitches that bind ligands to turn expression of genes on/off. In this work, we have investigated the roles and regulation of alx and mntP, the two genes in Escherichia coli regulated by the yybP-ykoY  riboswitches, in alkaline pH and high concentration of Mn2+. This work highlights the intricate ways through which bacteria adapt to their surroundings, utilizing riboregulatory mechanisms to maintain Mn2+ levels amidst varying environmental factors.

Advanced microbiome therapeutics as a novel modality for oral delivery of peptides to manage metabolic diseases

The rising prevalence of metabolic diseases calls for innovative treatments. Peptide-based drugs have transformed the management of conditions such as obesity and type 2 diabetes. Yet, challenges persist in oral delivery of these peptides. This review explores the potential of 'advanced microbiome therapeutics' (AMTs), which involve engineered microbes for delivery of peptides in situ, thereby enhancing their bioavailability. Preclinical work on AMTs has shown promise in treating animal models of metabolic diseases, including obesity, type 2 diabetes, and metabolic dysfunction-associated steatotic liver disease. Outstanding challenges toward realizing the potential of AMTs involve improving peptide expression, ensuring predictable colonization control, enhancing stability, and managing safety and biocontainment concerns. Still, AMTs have potential for revolutionizing the treatment of metabolic diseases, potentially offering dynamic and personalized novel therapeutic approaches.

A synthetic microbial Daisyworld: planetary regulation in the test tube

The idea that the Earth system self-regulates in a habitable state was proposed in the 1970s by James Lovelock, who conjectured that life plays a self-regulatory role on a planetary-level scale. A formal approach to such hypothesis was presented afterwards under a toy model known as the Daisyworld. The model showed how such life-geosphere homeostasis was an emergent property of the system, where two species with different properties adjusted their populations to the changing external environment. So far, this ideal world exists only as a mathematical or computational construct, but it would be desirable to have a real, biological implementation of Lovelock's picture beyond our one biosphere. Inspired by the exploration of synthetic ecosystems using genetic engineering and recent cell factory designs, here we propose a possible implementation for a microbial Daisyworld. This includes: (i) an explicit proposal for an engineered design of a two-strain consortia, using pH as the external, abiotic control parameter and (ii) several theoretical and computational case studies including two, three and multiple species assemblies. The special alternative implementations and their implications in other synthetic biology scenarios, including ecosystem engineering, are outlined.

Precise and versatile microplate reader-based analyses of biosensor signals from arrayed microbial colonies

Genetically encoded fluorescent biosensors have emerged as a powerful tool to support phenotypic screenings of microbes. Optical analyses of fluorescent sensor signals from colonies grown on solid media can be challenging as imaging devices need to be equipped with appropriate filters matching the properties of fluorescent biosensors. Toward versatile fluorescence analyses of different types of biosensor signals derived from arrayed colonies, we investigate here the use of monochromator equipped microplate readers as an alternative to imaging approaches. Indeed, for analyses of the LacI-controlled expression of the reporter mCherry in Corynebacterium glutamicum, or promoter activity using GFP as reporter in Saccharomyces cerevisiae, an improved sensitivity and dynamic range was observed for a microplate reader-based analyses compared to their analyses via imaging. The microplate reader allowed us to capture signals of ratiometric fluorescent reporter proteins (FRPs) with a high sensitivity and thereby to further improve the analysis of internal pH via the pH-sensitive FRP mCherryEA in Escherichia coli colonies. Applicability of this novel technique was further demonstrated by assessing redox states in C. glutamicum colonies using the FRP Mrx1-roGFP2. By the use of a microplate reader, oxidative redox shifts were measured in a mutant strain lacking the non-enzymatic antioxidant mycothiol (MSH), indicating its major role for maintaining a reduced redox state also in colonies on agar plates. Taken together, analyses of biosensor signals from microbial colonies using a microplate reader allows comprehensive phenotypic screenings and thus facilitates further development of new strains for metabolic engineering and systems biology.

Digital models in biotechnology: Towards multi-scale integration and implementation

Industrial biotechnology encompasses a large area of multi-scale and multi-disciplinary research activities. With the recent megatrend of digitalization sweeping across all industries, there is an increased focus in the biotechnology industry on developing, integrating and applying digital models to improve all aspects of industrial biotechnology. Given the rapid development of this field, we systematically classify the state-of-art modelling concepts applied at different scales in industrial biotechnology and critically discuss their current usage, advantages and limitations. Further, we critically analyzed current strategies to couple cell models with computational fluid dynamics to study the performance of industrial microorganisms in large-scale bioprocesses, which is of crucial importance for the bio-based production industries. One of the most challenging aspects in this context is gathering intracellular data under industrially relevant conditions. Towards comprehensive models, we discuss how different scale-down concepts combined with appropriate analytical tools can capture intracellular states of single cells. We finally illustrated how the efforts could be used to develop digitals models suitable for both cell factory design and process optimization at industrial scales in the future.