G. Genest

Glocalism • 2015

Why have states, in a somewhat short period of time (1995-2005), suddenly decided to “cooperate” regarding global infectious disease surveillance? What kind of “cooperation” is it? Why did states apparently surrender part of their sovereign power to the WHO by giving it the power to declare pandemic at the global scale without state consent? These questions appear especially relevant in the context where issues of health and diseases at the global scale have been explicitly linked with the concepts of “risk”, “security”, “emergency”, “crisis”, “intelligence”, and “terrorism”. The objective of this article is to start answering these questions by first of all looking at the problems and paradoxes of the practices of Global Health Security through an analysis of the microbial space, capitalistic cooperation, and the production of information and data about health security. Secondly, the article draws the attention to the politics behind the structuration of Global Health Security as a social evidence by looking at contested concepts that represent promising research avenues.

M. Mohammadian, A. D. Moghaddam, L. Almasi et al.

• 2021

Functional emergency food rations with health-promoting attributes can improve the performance of armed forces during military missions, especially if there would not be enough time for food consumption. Therefore, the aim of this study was to produce emergency rations enriched with functional ingredients including whey protein nanofibril (WPN) and its complexes with curcumin (C-WPN) and quercetin (Q-WPN) as bioactive antioxidant compounds. After the formulation and production of the rations, their antioxidant activity, sensory properties, and microbial attributes were investigated. Addition of curcumin and quercetin to rations significantly improved their antioxidant activity as investigated by free radical scavenging method and reducing power assay. In all these methods, rations had higher antioxidant activity in the presence of curcumin and quercetin. The microbial and sensory properties of rations also were acceptable. Therefore, the results of this study suggested that the curcumin and quercetin as biologically active ingredients can be used in the formulation of emergency food rations for increasing their antioxidant activity which is very useful for improving the performance of armed forces and soldiers during military missions and activities.

Mia Tedjosaputro, Anastasia Maurina

• 0

<title>Abstract</title> <p>This paper seeks to optimise a system of immediate relief shelters which are quick to deploy, easily assembled by unskilled workers and utilise locally sourced and sustainable materials. It addresses concerns such as time-consuming tent delivery as the first response during emergencies and cost-effectiveness and exploits the self-erecting affordances of tensegrity structures. The research adopts a multi-phase methodology, an iterative multicriteria simulation and prototyping optimisation. The three stages are: (1) computational simulation followed by multi-objective optimisation, (2) full-scale prototyping, and (3) a second round of multi-objective optimisation informed by prototype evaluations. The discussions around the self-build bamboo tensegrity sleeping structures are focused only on the compression and tensional elements (without skin or façade, which will be the focus of a subsequent study). Five design parameters are investigated: the number of bamboo struts, overall height, degree of rotation, and radius of the top and bottom sections. By optimising these parameters, three performance criteria are considered to evaluate spatial needs and portability: the possible number of occupants, the total weight, and the length of each bamboo strut. The study finds that after optimisation, these shelters are best suited to occupancy rates of one to five people, however, three people are required to erect the structures and carry longer bamboo culms so this must be factored into any potential deployment scenario.</p>

Ruth Nyakerario, Naho Mirumachi,

• 0

<jats:p>This report examines the need to consider conflict sensitivity when planning and carrying out renewable energy projects in energy-scarce areas, such as refugee camps. The report uses a case study from Kenya's Kakuma Refugee Camp to look at the potential for renewable energy projects to lead to conflict or to exacerbate existing tensions. The authors argue that the issue should receive greater consideration in renewable energy project planning and implementation.</jats:p>

Nathalie Pettorelli

Satellite Remote Sensing and the Management of Natural Resources • 2019

<p>This chapter seeks to provide a quick introduction to satellite remote sensing. It starts with a set of definitions, thereby to explain the differences between Earth observations, remote sensing, and satellite remote sensing. It then goes on to describe how satellite remote sensing works, and what the differences between passive and active sensors are. An introduction to the main sensors currently on board active civilian Earth observation satellites is provided, together with details on their key specifications. The complex nature of satellite data, as well as the tools required to manipulate and analyse them are discussed. The chapter ends with a presentation of the main issues to be aware of when dealing with satellite data, and a look at the coming sensors and datasets that will soon expand opportunities for satellite data to inform environmental management.</p>

CONFERENCE PROCEEDING • 2024

<jats:p>The burgeoning demand for sustainable urban development necessitates innovative solutions in urban infrastructure, particularly in the realm of street lighting. This paper introduces a novel sensor-reduced smart street lighting system designed to optimize energy consumption while maintaining safety and comfort in urban environments. Unlike traditional systems that rely heavily on continuous sensor input, our proposed model utilizes a minimal sensor setup coupled with an intelligent algorithm that predicts lighting needs based on historical data and predictive analytics. This approach significantly reduces the system's complexity and cost, making sustainable technology more accessible to municipalities. Through a series of simulations and real-world trials, we demonstrate that our system can achieve up to a 40% reduction in energy usage compared to conventional sensor-based systems without compromising the illumination quality. This research not only highlights the potential of sensor-reduced technologies in urban lighting but also sets a precedent for future sustainable urban infrastructure projects.</jats:p>

.. S. T

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT • 2024

This project develops the purification of textile wastewater using microbial fuel cells (MFC), generating electricity as a byproduct. A NodeMCU module and current sensor setup are used to monitor current production. Through the use of microbial activity, the MFC system breaks down chemicals to produce electrical energy and harmless byproducts. The NodeMCU module makes wireless communication and real-time data capture possible, allowing for remote current output monitoring. IoT technology integration helps with environmental impact assessment and process management. This study presents an environmentally friendly technique for treating textile wastewater using MFC technology with the Internet of Things to produce electricity and purify the water effectively. Key Words: textile wastewater treatment, microbial fuel cell, smart monitoring system.

Munawwar A. Khan, Shams T. Khan

• 0

<jats:p>Abstract. Saudi Arabia has world's fifth largest desert and is the biggest importer of food and agricultural products. Understanding soil microbial communities is key to improving agricultural potential of the region. Therefore, soil microbial communities of semi-arid region of Abha known for agriculture and arid regions of Hafr Al-Batin and Muzahmiyah were studied using Illumina sequencing. Microbial community composition varied remarkably from other deserts and from one place to another. Highest diversity was found in rhizospheric soil of Muzahmiyah followed by Abha. Firmicutes, Proteobacteria and Actinobacteria were three main phyla detected in all the samples. Unlike other deserts, Bacteroidetes was not a major constituent and population of Firmicutes was quite high. Soils from agricultural region of Abha were significantly different from other samples in containing only 1 % Firmicutes and three to six times higher population of Actinobacteria and Bacteroidetes, respectively. Presence of photosynthetic bacteria, ammonia oxidizers, and nitrogen fixers along with bacteria capable of surviving on simple and unlikely carbon sources like DMF was indicative of their survival strategies under harsh environmental condition. Functional inference using PICRUSt show abundance of genes involved in photosynthesis and nitrogen fixation. Microbial communities show greater similarity with hot Namib desert than with cold Antarctic desert. </jats:p>

Xin Sun, Jacquelyn Folmar, Ariel Favier et al.

• 0

<jats:title>Abstract</jats:title><jats:p>A central challenge in community ecology is predicting the effects of abiotic factors on community assembly. In particular, microbial communities play a central role in the ecosystem, but we do not understand how changing factors like temperature are going to affect community composition or function. One of the challenges is that we do not understand the mechanistic impacts of temperature on different metabolic strategies, nor how this metabolic plasticity could impact microbial interactions. Dissecting the contribution of environmental factors on microbial interactions in natural ecosystems is hindered by our understanding of microbial physiology and our ability to disentangle interactions from sequencing data. Studying the self-assembly of multiple communities in synthetic environments, here we are able to predict changes in microbial community composition based on metabolic responses of each functional group along a temperature gradient. This research highlights the importance of metabolic plasticity and metabolic trade-offs in predicting species interactions and community dynamics across abiotic gradients.</jats:p>

E. Stavropoulou, E. Bezirtzoglou

Foods • 0

<jats:p>Microorganisms can contaminate food, thus causing food spoilage and health risks when the food is consumed. Foods are not sterile; they have a natural flora and a transient flora reflecting their environment. To ensure food is safe, we must destroy these microorganisms or prevent their growth. Recurring hazards due to lapses in the handling, processing, and distribution of foods cannot be solved by obsolete methods and inadequate proposals. They require positive approach and resolution through the pooling of accumulated knowledge. As the industrial domain evolves rapidly and we are faced with pressures to continually improve both products and processes, a considerable competitive advantage can be gained by the introduction of predictive modeling in the food industry. Research and development capital concerns of the industry have been preserved by investigating the plethora of factors able to react on the final product. The presence of microorganisms in foods is critical for the quality of the food. However, microbial behavior is closely related to the properties of food itself such as water activity, pH, storage conditions, temperature, and relative humidity. The effect of these factors together contributing to permitting growth of microorganisms in foods can be predicted by mathematical modeling issued from quantitative studies on microbial populations. The use of predictive models permits us to evaluate shifts in microbial numbers in foods from harvesting to production, thus having a permanent and objective evaluation of the involving parameters. In this vein, predictive microbiology is the study of the microbial behavior in relation to certain environmental conditions, which assure food quality and safety. Microbial responses are evaluated through developed mathematical models, which must be validated for the specific case. As a result, predictive microbiology modeling is a useful tool to be applied for quantitative risk assessment. Herein, we review the predictive models that have been adapted for improvement of the food industry chain through a built virtual prototype of the final product or a process reflecting real-world conditions. It is then expected that predictive models are, nowadays, a useful and valuable tool in research as well as in industrial food conservation processes.</jats:p>

Marko Kesti

Deep Learning Applications • 0

<jats:p>Chapter deals with latest knowledge on deep reinforcement learning in the context of organizational management. Article presents reinforcement learning (RL) as a tool for the manager on the path to learning winning behavior in the complex environment of organization management. Organization management has wicked learning challenges because agents are under biases that prevent understanding the phenomenon of delayed reward. Therefore, the digital simulation with RL is effective forming breakthrough learning results. Human capital management theories provide architecture in creating organization digital twin where agent can practice management actions effect on business economics and staff wellbeing. Utilizing RL algorithms, it is possible to foster behavior for creating sustainable competitive advantage – this means the Nash equilibrium between profit and staff wellbeing. In this digital twin there is AI learning assistant as a teacher that provides demonstrations on how to act so that the delayed reward is good in the future. The article explains game theoretical approach that is the foundation for creating management deep learning AI system. Human agent at the organization is playing the game of Strategic Stochastic Bayesian Nonsymmetric Signaling game in co-operative or non-cooperative way and at zero-sum or general sum game mind-set.</jats:p>

Wenwen Li

• 0

<jats:p>GeoAI, or geospatial artificial intelligence, has transformative potential for Earth science by integrating geospatial data with artificial intelligence to enhance environmental monitoring, predictive modeling, and decision-making. This commentary, based on the Greg Leptoukh Lecture at AGU 2024, explores the evolving role of GeoAI in addressing pressing challenges—from environmental change in the Arctic to disaster response in hurricane-prone tropical regions. It highlights advancements in GeoAI-driven analysis of multimodal Earth observation data, ranging from structured remote sensing imagery to semi-structured data and natural language texts. The integration of knowledge graphs and generative AI further strengthens GeoAI by enabling seamless integration of cross-domain data, semantic reasoning, and knowledge inference. By bridging informatics and domain expertise, GeoAI is shaping a more intelligent and actionable digital future for Earth science.</jats:p>

Hamed Taherdust

Artificial Intelligence Evolution • 0

<jats:p>One of the most significant problems facing humankind now is environmental issues, which have harmed life on the planet. Research has been done continuously to lessen the effects of climate change on the local level and to manage its causes. Due to its indisputable rise in popularity, Artificial Intelligence (AI) will be used in a wide range of businesses and for several causes, such as environmental sustainability. Centers with significant ecological impacts may use AI's potential to alter the globe as the field expands. This article focuses on industries using AI applications for sustainable environmental development such as biodiversity, energy, water, transportation, air, agriculture, and resilience to extreme events. Next, some limitations are presented. To benefit both current and future generations, environmentally friendly AI should be developed.</jats:p>

Dilip Rijal, Vladislav Vasilyev, Feng Wang

• 0

<jats:p>Sustainable aviation fuels (SAFs) are crucial for addressing carbon emissions in the aviation industry. With a focus on SAFs, the research aims to establish a quantitative structure-property relationship for polycyclic hydrocarbons (PCHCs) and their net heat of combustion (NHOC) using the innovative approach of machine learning (ML). The model trained with support vector machine (SVM) algorithms in ML is selected as it demonstrates superior performance over other available algorithms with a high coefficient of determination (R2) and low mean absolute error (MAE) of 27.821 KJ/mol for 20% test data. Using the optimum SVM model, thirty-five potential PCHCs are identified as SAF candidates from C6 to C15 sourced from reputable scientific literature and databases. Furthermore, structural analysis revealed that high-performance PCHCs typically consist of saturated alkanes with multiple 3, 4, and 5-membered rings, suggesting that strained energy plays a role in their high energy density. The model obtained from ML can be employed to screen new hydrocarbons for their suitability as SAF candidates before costly experiments and ASTM evaluations.</jats:p>

Demetrius DiMucci, Mark Kon, Daniel Segrè

• 0

<jats:title>Abstract</jats:title><jats:p>Microbes affect each other’s growth in multiple, often elusive ways. The ensuing interdependencies form complex networks, believed to influence taxonomic composition, as well as community-level functional properties and dynamics. Elucidation of these networks is often pursued by measuring pairwise interaction in co-culture experiments. However, combinatorial complexity precludes the exhaustive experimental analysis of pairwise interactions even for moderately sized microbial communities. Here, we use a machine-learning random forest approach to address this challenge. In particular, we show how partial knowledge of a microbial interaction network, combined with trait-level representations of individual microbial species, can provide accurate inference of missing edges in the network and putative mechanisms underlying interactions. We applied our algorithm to two case studies: an experimentally mapped network of interactions between auxotrophic <jats:italic>E. coli</jats:italic> strains, and a large <jats:italic>in silico</jats:italic> network of metabolic interdependencies between 100 human gut-associated bacteria. For this last case, 5% of the network is enough to predict the remaining 95% with 80% accuracy, and mechanistic hypotheses produced by the algorithm accurately reflect known metabolic exchanges. Our approach, broadly applicable to any microbial or other ecological network, can drive the discovery of new interactions and new molecular mechanisms, both for therapeutic interventions involving natural communities and for the rational design of synthetic consortia.</jats:p><jats:sec><jats:title>Importance</jats:title><jats:p>Different organisms in a microbial community may drastically affect each other’s growth phenotype, significantly affecting the community dynamics, with important implications for human and environmental health. Novel culturing methods and decreasing costs of sequencing will gradually enable high-throughput measurements of pairwise interactions in systematic co-culturing studies. However, a thorough characterization of all interactions that occur within a microbial community is greatly limited both by the combinatorial complexity of possible assortments, and by the limited biological insight that interaction measurements typically provide without laborious specific follow-ups. Here we show how a simple and flexible formal representation of microbial pairs can be used for classification of interactions with machine learning. The approach we propose predicts with high accuracy the outcome of yet to be performed experiments, and generates testable hypotheses about the mechanisms of specific interactions.</jats:p></jats:sec>

L. Wackett

Microbial Biotechnology • 2021

Poly‐ and perfluorinated chemicals, including perfluorinated alkyl substances (PFAS), are pervasive in today’s society, with a negative impact on human and ecosystem health continually emerging. These chemicals are now subject to strict government regulations, leading to costly environmental remediation efforts. Commercial polyfluorinated compounds have been called ‘forever chemicals’ due to their strong resistance to biological and chemical degradation. Environmental cleanup by bioremediation is not considered practical currently. Implementation of bioremediation will require uncovering and understanding the rare microbial successes in degrading these compounds. This review discusses the underlying reasons why microbial degradation of heavily fluorinated compounds is rare. Fluorinated and chlorinated compounds are very different with respect to chemistry and microbial physiology. Moreover, the end product of biodegradation, fluoride, is much more toxic than chloride. It is imperative to understand these limitations, and elucidate physiological mechanisms of defluorination, in order to better discover, study, and engineer bacteria that can efficiently degrade polyfluorinated compounds.

Foad Buazar, Javad Moavi, Mohammad Hosein Sayahi

• 0

<jats:title>Abstract</jats:title> <jats:p>This research presents a novel biological route for the biosynthesis of nickel oxide nanoparticles (NiO NPs) using marine macroalgae extract as a reducing and coating agent under optimized synthesis conditions. XRD and TEM analyses revealed that phytosynthesized NiO NPs are crystalline in nature with a spherical shape having a mean particle size of 11±1 nm. It is found that biogenic NiO NPs is a highly efficient catalyst for benign one-pot preparation of pyridopyrimidine derivatives using aqueous reaction conditions. This environmentally friendly procedure takes considerable advantages of shorter reaction times, excellent product yields (up to 96%), magnetically reusable nanocatalyst (7 runs), low catalyst loadings, and free toxic chemical reagents.</jats:p>

Art Anthony Zoilo Munio, Alvanh Alem Pido, Leo Cristoba II Ambolode

• 0

<title>Abstract</title> <p>Due to mounting environmental and public health concerns about the toxicity of Arsenic (As) contamination, there is a strong drive to develop cost-effective sensors and adsorbent material for As. Using density functional theory, we examined the adsorption mechanism, electronic structure, and optical absorption spectra of SWCNT with atomic As and Arsenous acid (H3AsO3). Results indicate that atomic As can strongly interact with SWCNT with significant structural deformation of the SWCNT upon adsorption. This bonding creates modification on the intrinsic electronic structure and the optical absorption spectra of the prototype SWCNT. Hence, SWCNT is an efficient adsorbent and a candidate material for sensing atomic As. On the other hand, H3AsO3 interacts weakly with the SWCNT, with no significant modification observed in the SWCNT's atomic configuration, electronic structure, and optical absorption spectra. The interaction and sensitivity with H3AsO3 significantly improved after doping the SWCNT with Fe. The changes in the band structure patterns and optical absorption spectra of Fe-doped SWCNT is also observed upon exposure to H3AsO3. The results presented here provide fundamental insights into the interaction of SWCNT and As, which serve as a reference for fabricating SWCNT-based adsorbent and sensing platforms of heavy metals. The results further explore how metal-doped SWCNT tunes the bonding and sensitivity with heavy metals.</p>

Soshina Nathan, Soumya Mathunny, J Anjana

• 0

<jats:title>ABSTRACT</jats:title><jats:p>Given the enormous potential of metal nanomaterials, their sustainable production is of paramount importance and is a key area of focus worldwide. In this regard, bacteria are highly valued because of their potential for rapid, cost-effective and eco-friendly metal nanomaterial synthesis. In this study, culture supernatants of<jats:italic>Bacillus cereus</jats:italic>and<jats:italic>Curvularia</jats:italic>sp isolated from heavy metal rich Titanium industry effluent effectively synthesised cobalt and copper nanoparticles of narrow size range at room temperature, neutral pH and static conditions within 2-7 days. This was verified by visible colour changes, UV-Vis spectroscopy and FT-IR. The UV-Visible spectra of the biosynthesized cobalt and copper nanoparticles exhibited sharp narrow peaks at 341 and 342 nm. This suggested that the cobalt and copper nanoparticles were not only small but also had a narrow size distribution, a feature rarely reported in biosynthesis studies. Furthermore, our approach was conducted at room temperature using cell-free supernatant, eliminating the need for additional heating or cooling, and minimising processing thus making the process energy-efficient, cost effective and sustainable. This is a first report on the production of monodisperse cobalt and copper nanoparticles by microbes isolated from this novel extreme environment.</jats:p><jats:sec><jats:title>Graphical abstract</jats:title><jats:fig id="ufig1" position="float" fig-type="figure" orientation="portrait"><jats:graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="585342v2_ufig1" position="float" orientation="portrait"/></jats:fig></jats:sec>

Fabian Kubannek, Uwe Schröder, Ulrike Krewer

• 0

<jats:p>&amp;lt;p&amp;gt;Electroactive biofilms are routinely characterized in-operando by dynamic electrochemical measurement techniques such as cyclic voltammetry or electrochemical impedance spectroscopy. Since electrical signals can be recorded and processed very quickly, these techniques allow to investigate slow and fast electron transfer processes.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;In contrast, the dynamics of species production rates are usually not addressed because standard measurement techniques for the quantification of reaction products such as gas chromatography are slow. Instead it is often assumed that species production rates are either directly proportional to the current - under so called turnover conditions - or equal zero - under so called non-turnover conditions.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;To challenge this assumption, we measured species production rates of a biofilm electrode with a high time resolution by differential electrochemical mass spectrometry (DEMS). An acetate oxidizing biofilm electrode was placed just micrometers away from the mass spectrometer inlet in which enabled us to observe CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; production directly at the electrode during cyclic voltammetry (CV) and potential steps.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;The measurement results showed that the CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; production deviates significantly from the expected value calculated from the current by Faraday&amp;amp;#8217;s law under certain operating conditions. We analyze this effect in detail and show that it can be explained with biofilm storage capacities for charge and substrate. These capacities are quantified by deconvoluting the faradaic and non-faradaic currents. [1]&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;Also, the onset of the complete oxidation of acetate to CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; during CVs was determined to be just 22 mV above the standard potential for acetate oxidation. Determining this value by directly measuring CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; instead of current is advantageous because capacitive effects can be excluded. [1]&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;In conclusion, we demonstrate that electrical current and CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; production can be partly decoupled in biofilm electrodes and that DEMS is a valuable technique for analyzing processes in such electrodes.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;[1] Kubannek, F., Schr&amp;amp;#246;der, U., Krewer, U. (2018). Revealing metabolic storage processes in electrode respiring bacteria by differential electrochemical mass spectrometry. Bioelectrochemistry, 121, 160&amp;amp;#8211;168, doi: 10.1016/j.bioelechem.2018.01.014&amp;lt;/p&amp;gt;</jats:p>

Mark W. Rutland

Faraday Discussions • 0

<p>It is an honour to be charged with providing the concluding remarks for a Faraday Discussion. As many have remarked before, it is nonetheless a prodigious task, and what follows is necessarily a personal, and probably perverse, view of a watershed event in the Chemical Physics of Electroactive materials. The spirit of the conference was captured in a single sentence during the meeting itself.By Andriy Yaroschuk in commenting on the work of Kelsey Hatzell (DOI: 10.1039/c6fd00243a). “It is the nexus between rheology, electrochemistry, colloid science and energy storage”. The current scientific climate is increasingly dominated by a limited number of global challenges, and there is thus a tendency for research to resemble a football match played by 6 year olds, where everyone on the field chases the (funding) ball instead of playing to their “discipline”. It is thus reassuring to see how the application of rigorous chemical physics is leading to ingenious new solutions for both energy storage and harvesting, <italic>via</italic>, for example, nanoactuation, electrowetting, ionic materials and nanoplasmonics. In fact, the same language of chemical physics allows seamless transition between applications as diverse as mechano-electric energy generation, active moisture transport and plasmonic shutters – even the origins of life were addressed in the context of electro-autocatalysis!</p>

Mohammed Mouhib, Melania Reggente, Ardemis A. Boghossian

• 0

<jats:title>Abstract</jats:title><jats:p>Bioelectrochemical systems (BES) are promising for energy, sensing, environmental, and synthesis applications.<jats:italic>Escherichia coli</jats:italic>were previously bioengineered for application in BES by introduction of extracellular electron transfer (EET) pathways. Inspired by the metal-reducing (Mtr) pathway of<jats:italic>Shewanella oneidensis</jats:italic>MR-1, several of its cytochromes were heterologously expressed in<jats:italic>E. coli</jats:italic>, leading to increased EET rates and successful application in BES. Besides direct electron transfer<jats:italic>, S. oneidensis</jats:italic>MR-1 is known to secrete flavins that act as redox mediators and are crucial for high EET rates.</jats:p><jats:p>Here we co-express the Mtr pathway and a flavin biosynthesis pathway in<jats:italic>E. coli</jats:italic>, to enhance EET in engineered strains. The secretion of both flavin mononucleotide and riboflavin was increased up to 3-fold in engineered strains. Chronoamperometry revealed an up to ~3.4-fold increase in current over the wild type when co-expressing cytochromes and flavin biosynthesis genes, and a ~2.3-fold increase when expressing flavin biosynthesis genes on their own. Thus, the introduction of flavin biosynthesis genes yields in a distinct, yet complementary EET mechanism, and holds promise for application in BES.</jats:p>

Anna Nikolaidou, Panagiotis Mougkogiannis, Andrew Adamatzky

• 0

<jats:title>Abstract</jats:title> <jats:p>In this study, we present electroactive biofilms made from a combination of Kombucha zoogleal mats andthermal proteinoids. These biofilms have potential applications in unconventional computing and roboticskin. Proteinoids are synthesised by thermally polymerizing amino acids, resulting in the formation ofsynthetic protocells that display electrical signalling similar to neurons. By incorporating proteinoids intoKombucha zoogleal cellulose mats, hydrogel biofilms can be created that have the ability to efficiently transfercharges, perform sensory transduction, and undergo processing. We conducted a study on the memfractanceand memristance behaviours of composite biofilms, showcasing their capacity to carry out unconventionalcomputing operations. The porous nanostructure and electroactivity of the biofilm create a biocompatibleinterface that can be used to record and stimulate neuronal networks. In addition to in vitro neuronal interfaces, these soft electroactive biofilms show potential as components for bioinspired robotics, smart wearables,unconventional computing devices, and adaptive biorobotic systems. Kombucha-proteinoids composite filmsare a highly customizable material that can be synthesised to suit specific needs. These films belong toa unique category of “living” materials, as they have the ability to support cellular systems and improvebioelectronic functionality. This makes them an exciting prospect in various applications. Ongoing effortsare currently being directed towards enhancing the compositional tuning of conductivity, signal processing,and integration within hybrid bioelectronic circuits.</jats:p>

A-Andrew D Jones, Cullen R Buie

• 0

<jats:p>Electroactive bacteria such as<jats:italic>Geobacter sulfurreducens</jats:italic>and<jats:italic>Shewanella onedensis</jats:italic>produce electrical current during their respiration; this has been exploited in bioelectrochemical systems. These bacteria form thicker biofilms and stay more active than soluble-respiring bacteria biofilms because their electron acceptor is always accessible. In bioelectrochemical systems such as microbial fuel cells, corrosion-resistant metals uptake current from the bacteria, producing power. While beneficial for engineering applications, collecting current using corrosion resistant metals induces pH stress in the biofilm, unlike the naturally occurring process where a reduced metal combines with protons released during respiration. To reduce pH stress, some bioelectrochemical systems use forced convection to enhance mass transport of both nutrients and byproducts; however, biofilms’ small pore size limits convective transport, thus, reducing pH stress in these systems remains a challenge. Understanding how convection is necessary but not sufficient for maintaining biofilm health requires decoupling mass transport from momentum transport (i.e. fluidic shear stress). In this study we use a rotating disc electrode to emulate a practical bioelectrochemical system, while decoupling mass transport from shear stress. This is the first study to isolate the metabolic and structural changes in electroactive biofilms due to shear stress. We find that increased shear stress reduces biofilm development time while increasing its metabolic rate. Furthermore, we find biofilm health is negatively affected by higher metabolic rates over long-term growth due to the biofilm’s memory of the fluid flow conditions during the initial biofilm development phases. These results not only provide guidelines for improving performance of bioelectrochemical systems, but also reveal features of biofilm behavior. Results of this study suggest that optimized reactors may initiate operation at high shear to decrease development time before decreasing shear for steady-state operation. Furthermore, this biofilm memory discovered will help explain the presence of channels within biofilms observed in other studies.</jats:p>

Akanksha Singh

• 0

<jats:p>Studies at the molecular, systemic, and epidemiological levels have shown that chronic metal exposure is linked to significant health consequences, including cancer, affecting hundreds of millions worldwide. Subtle and convoluted mechanisms underline metals&amp;#039; toxicity and carcinogenicity. The use of sensors for carcinogenic metals&amp;#039; trace detection is on the rise due to their selectivity, simplicity, and affordability. Biotechnology and microelectronics in the development of sensors have grown complementarily in recent years. This study offers a comprehensive overview of current research and advancements in developing sensors for detecting carcinogenic metals. Here, we have focussed on the developed biosensor platforms for group 1 carcinogens, i.e., arsenic, nickel, cadmium, chromium, and beryllium, along with their brief roles in human carcinogenesis. This review also looks at the importance of sensing such metal exposure in humans from a larger perspective, hoping to influence future research toward early prevention and treatment of illnesses like cancer.</jats:p>

The IUPAC Compendium of Chemical Terminology • 2019

<jats:p>Citation: 'electroactive substance' in the IUPAC Compendium of Chemical Terminology, 3rd ed.; International Union of Pure and Applied Chemistry; 2006. Online version 3.0.1, 2019. 10.1351/goldbook.E01940 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms. Requests for commercial usage of the compendium should be directed to IUPAC.</jats:p>

Ian Sofian Yunus, Julian Wichmann, Robin Wördenweber et al.

• 0

<jats:title>ABSTRACT</jats:title><jats:p>Liquid fuels sourced from fossil sources are the dominant energy form for mobile transport today. The consumption of fossil fuels is still increasing, resulting in a continued search for more sustainable methods to renew our supply of liquid fuel. Photosynthetic microorganisms naturally accumulate hydrocarbons that could serve as a replacement for fossil fuel, however productivities remain low. We report successful introduction of five synthetic metabolic pathways in two green cell factories, prokaryotic cyanobacteria and eukaryotic algae. Heterologous thioesterase expression enabled high-yield conversion of native acyl-ACP into free fatty acids (FFA) in <jats:italic>Synechocystis sp</jats:italic>. PCC 6803 but not in <jats:italic>Chlamydomonas reinhardtii</jats:italic> where the polar lipid fraction instead was enhanced. Despite no increase in measurable FFA in <jats:italic>Chlamydomonas</jats:italic>, genetic recoding and over-production of the native fatty acid photodecarboxylase (FAP) resulted in increased accumulation of 7-heptadecene. Implementation of a carboxylic acid reductase (CAR) and aldehyde deformylating oxygenase (ADO) dependent synthetic pathway in <jats:italic>Synechocystis</jats:italic> resulted in the accumulation of fatty alcohols and a decrease in the native saturated alkanes. In contrast, the replacement of CAR and ADO with <jats:italic>Pseudomonas mendocina</jats:italic> UndB (so named as it is responsible for 1-undecene biosynthesis in <jats:italic>Pseudomonas</jats:italic>) or <jats:italic>Chlorella variabilis</jats:italic> FAP resulted in high-yield conversion of thioesterase-liberated FFAs into corresponding alkenes and alkanes, respectively. At best, the engineering resulted in an increase in hydrocarbon accumulation of 8- (from 1 to 8.5 mg/g dell dry weight) and 19-fold (from 4 to 77 mg/g cell dry weight) for <jats:italic>Chlamydomonas</jats:italic> and <jats:italic>Synechocystis</jats:italic>, respectively. In conclusion, reconstitution of the eukaryotic algae pathway in the prokaryotic cyanobacteria host generated the most effective system, highlighting opportunities for mix-and-match synthetic metabolism. These studies describe functioning synthetic metabolic pathways for hydrocarbon fuel synthesis in photosynthetic microorganisms for the first time, moving us closer to the commercial implementation of photobiocatalytic systems that directly convert CO<jats:sub>2</jats:sub> into infrastructure-compatible fuels.</jats:p><jats:sec><jats:title>Highlights</jats:title><jats:p><jats:list list-type="bullet"><jats:list-item><jats:p>Synthetic metabolic pathways for hydrocarbon fuels were engineered in algae</jats:p></jats:list-item><jats:list-item><jats:p>Free fatty acids were effectively converted into alkenes and alkanes</jats:p></jats:list-item><jats:list-item><jats:p>Transfer of algal pathway into cyanobacteria was the most effective</jats:p></jats:list-item><jats:list-item><jats:p>Alkane yield was enhanced 19-fold in <jats:italic>Synechocystis spp</jats:italic>. PCC 6803</jats:p></jats:list-item><jats:list-item><jats:p>Alkene yield was enhanced 8-fold in <jats:italic>Chlamydomonas reinhardtii</jats:italic></jats:p></jats:list-item></jats:list></jats:p></jats:sec>

Samuel Fajemilua, Solomon Bada, M. Ahsanul Islam

• 0

<jats:title>Abstract</jats:title><jats:p>Contaminants of emerging concern (CEC) such as tetracycline, erythromycin, and salicylic acid in groundwater can seriously endanger the environment and human health due to their widespread and everlasting harmful effects. Thus, continuous monitoring of various CEC concentrations in groundwater is essential to ensure the safety, security, and biodiversity of natural habitats. CECs can be detected using whole-cell biosensors for environmental surveillance and monitoring purposes, as they provide a cheaper and more robust alternative to traditional and expensive analytical techniques. In this study, various genetic circuit designs are considered to model three biosensors using the genetic design automation (GDA) software, iBioSim. The genetic circuits were designed to detect multiple CECs, including atrazine, salicylic acid, and tetracycline simultaneously to produce quantitative fluorescent outputs. The biosensor responses and the viability of the genetic circuit designs were further analysed using ODE-based mathematical simulations in iBioSim. The designed circuits and subsequent biosensor modelling presented here, thus, not only show the usefulness and importance of GDA tools, but also highlight their limitations and shortcomings that need to overcome in the future; thereby, providing a practical guidance for further improvement of such tools, so that they can be more effectively and routinely used in synthetic biology research.</jats:p>

Griffin Chure, Zofii A. Kaczmarek, Rob Phillips

• 0

<jats:title>ABSTRACT</jats:title><jats:p>The intimate relationship between the environment and cellular growth rate has remained a major topic of inquiry in bacterial physiology for over a century. Now, as it becomes possible to understand how the growth rate dictates the wholesale reorganization of the intracellular molecular composition, we can interrogate the biophysical principles underlying this adaptive response. Regulation of gene expression drives this adaptation, with changes in growth rate tied to the activation or repression of genes covering enormous swaths of the genome. Here, we dissect how physiological perturbations alter the expression of a circuit which has been extensively characterized in a single physiological state. Given a complete thermodynamic model, we map changes in physiology directly to the biophysical parameters which define the expression. Controlling the growth rate via modulating the available carbon source or growth temperature, we measure the level of gene expression from a LacI-regulated promoter where the LacI copy number is directly measured in each condition, permitting parameter-free prediction of the expression level. The transcriptional output of this circuit is remarkably robust, with expression of the repressor being largely insensitive to the growth rate. The predicted gene expression quantitatively captures the observations under different carbon conditions, indicating that the bio-physical parameters are indifferent to the physiology. Interestingly, temperature controls the expression level in ways that are inconsistent with the prediction, revealing temperature-dependent effects that challenge current models. This work exposes the strengths and weaknesses of thermodynamic models in fluctuating environments, posing novel challenges and utility in studying physiological adaptation.</jats:p><jats:sec><jats:title>Significance</jats:title><jats:p>Cells adapt to changing environmental conditions by repressing or activating gene expression from enormous fractions of their genome, drastically changing the molecular composition of the cell. This requires the concerted adaptation of transcription factors to the environmental signals, leading to binding or releasing of their cognate sequences. Here, we dissect a well characterized genetic circuit in a number of physiological states, make predictions of the response, and measure how the copy number of a regulator and its gene target are affected. We find the parameters defining the regulators behavior are remarkably robust to changes in the nutrient availability, but are susceptible to temperature changes. We quantitatively explore these two effects and discuss how they challenge current models of transcriptional regulation.</jats:p></jats:sec>

Jordi Pla-Mauri, Ricard Solé

• 0

<jats:p>Living systems have evolved cognitive complexity to reduce environmental uncertainty, enabling them to predict and prepare for future conditions. Anticipation, distinct from simple prediction, involves active adaptation before an event occurs and is a key feature of both neural and non-neural biological agents. Recent work by Steven Frank proposed a minimal anticipatory mechanism based on the moving average convergence-divergence principle from financial markets. Here, we implement this principle using synthetic biology to design and evaluate minimal genetic circuits capable of anticipating environmental trends. Through deterministic and stochastic analyses, we demonstrate that these motifs achieve robust anticipatory responses under a wide range of conditions. Our findings suggest that simple genetic circuits could be naturally exploited by cells to prepare for future events, providing a foundation for engineering predictive biological systems.</jats:p>

Gan Lin

International Journal of Biology and Life Sciences • 0

<jats:p>Microbial metabolic engineering is a new bioengineering technology, which can improve the yield of compounds, optimize energy utilization and solve various problems faced by human beings by changing the genetic information, metabolic pathway and metabolic flux of microorganisms. Protein is the main undertaker of life activities, and its metabolic process involves complex biochemical reactions and cell regulation mechanisms. Protein metabolism plays an important role and application in microbial metabolic engineering. The purpose of this paper is to explore the metabolic effects of protein for microbial metabolic engineering, so as to deeply understand the metabolic characteristics and regulation mechanism of microorganisms. Microbial metabolic engineering has important applications in improving the yield of compounds, optimizing energy utilization, environmental treatment and medicine. The research and application of protein metabolism can provide more in-depth theoretical basis and technical support for microbial metabolism engineering, thus promoting the development and utilization of microbial resources.</jats:p>

Daniele Cecconet, Fabrizio Sabba, Matyas Devecseri et al.

• 0

<jats:p>Groundwater contamination is an ever-growing environmental issue, that has attracted much and undiminished attention for the past half century. Groundwater contamination originates from anthropogenic (e.g. hydrocarbons), natural compounds (e.g. nitrate and arsenic), or both; to tackle these contaminants different technologies have been tested during the years. Recently, bioelectrochemical systems (BESs) have emerged as a potential treatment for groundwater contamination, with in situ applications reported, that showed promising results. Nitrate and hydrocarbons (toluene, phenanthrene, benzene, BTEX and light PAHs) have been successfully removed, due to the interaction of microbial metabolism with poised electrodes, other than physical migration due to the electric field generated in BES. The selection of proper BESs relies on several factors and problems such as complexity of the groundwater, scale-up and energy requirements that need to be taken into account. Modelling efforts could help predict case scenarios and choose an ideal design and approach to solve these issues. In this review, we critically analyze in situ BES applications for groundwater remediation, focusing in particular on the different setups proposed, and we identify and discuss the existing research gaps in the field.</jats:p>

Andreea Stoica, Karthikeyan Rengasamy, Tahina Onina Ranaivoarisoa et al.

• 0

<jats:p>Miniaturization of measurement systems offers several advantages, including reduced sample and reagent volumes, improved control over experimental conditions, and the ability to multiplex complementary measurement modalities, thereby enabling new types of studies in microbial electrochemistry. We present a scalable glass-based microfluidic bioelectrochemical cell (µ-BEC) platform for multiplexed investigations of microbial extracellular electron uptake (EEU). The platform integrates eight independently addressable three-electrode cells in a 2×4 array, with transparent working electrodes that support simultaneous electrochemical analysis and optical imaging. Using Rhodopseudomonas palustris TIE-1 as a model phototroph, we measured EEU activity under light-dark cycling. Microfluidic flow was used to selectively remove planktonic cells, enabling isolation of the electron uptake signal associated with surface attached cells. These results demonstrate the µ-BEC as a robust and adaptable platform for probing microbial electron transfer, with broad potential for high-throughput and multimodal studies.</jats:p>

Adam Krieger, Jiahao Zhang, Xiaoxia Nina Lin

• 0

<jats:title>Abstract</jats:title><jats:p>Engineering of synthetic microbial communities is emerging as a powerful new paradigm for performing various industrially, medically, and environmentally important processes. To reach the fullest potential, however, this approach requires further development in many aspects, a key one being regulating the community composition. Here we leverage well established mechanisms in ecology which govern the relative abundance of multi-species ecosystems and develop a new tool for programming the composition of synthetic microbial communities. Using a simple model system consisting of two microorganisms<jats:italic>Escherichia coli</jats:italic>and<jats:italic>Pseudomonas putida</jats:italic>, which occupy different but partially overlapping thermal niches, we demonstrate that temperature regulation can be used to enable coexistence and program the community composition. We first investigate a constant temperature regime and show that different temperatures lead to different community compositions. Next, we invent a new cycling temperature regime and show that it can dynamically tune the microbial community, achieving a wide range of compositions depending on parameters that are readily manipulatable. Our work provides conclusive proof of concept that temperature regulation is a versatile and powerful tool capable of programming compositions of synthetic microbial communities.</jats:p>

Sophie J. Walton, Samuel E. Clamons, Richard M. Murray

• 0

<jats:p>Designing genetic circuits to control the behaviors of microbial populations is an ongoing challenge in synthetic biology. Here we analyze circuits which implement dosage control by controlling levels of a global signal in a microbial population in face of varying cell density, growth rate, and environmental dilution. We utilize the Lux quorum sensing system to implement dosage control circuits, and we analyze the dynamics of circuits using both simplified analytical analysis and<jats:italic>in silico</jats:italic>simulations. We demonstrate that strong negative feedback through inhibiting LuxI synthase expression along with AiiA degradase activity results in circuits with fast response times and robustness to cell density and dilution rate. We find that degradase activity yields robustness to variations in population density for large population sizes, while negative feedback to synthase production decreases sensitivity to dilution rates.</jats:p>

C. Retief, S. Kumar, K. Tepper et al.

• 0

<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Insects, such as Black Soldier Flies (<jats:italic>Hermetia illucens</jats:italic>), are increasingly used as sustainable animal feed ingredients that can be reared on plentiful organic substrates such as agricultural residues and pre-consumer food waste. Genetically engineering insects to heterologously express feed additive enzymes has the potential to generate more value from organic waste, while improving livestock health and productivity.</jats:p><jats:p>Phytases are widely used feed additive enzymes that hydrolyse the phosphate groups from the myo-inositol backbone of phytic acid, a phosphate rich antinutrient compound that monogastric animals cannot efficiently digest. Dietary phytase supplementation improves absorption of phosphorous, proteins, and cationic nutrients, while mitigating the negative environmental effects of phytic acid rich excreta.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>We evaluated the potential of using insects to biomanufacture microbial feed additive enzymes by engineering the model insect,<jats:italic>Drosophila melanogaster</jats:italic>, to express phytases. One histidine acid phytase, three beta propellor phytases, three purple acid phosphatases, and one PTP-like phytase were selected for screening in<jats:italic>D. melanogaster</jats:italic>. Transgenic flies expressing the AppA histidine acid phytase from<jats:italic>E. coli</jats:italic>had 27.82 FTU/g of phytase activity, which exceeds the 0.5-1.0 FTU/g required in animal feed. Maximum activity from AppA phytase expressed by<jats:italic>D. melanogaster</jats:italic>was observed at pH 5 and 55 °C, however, more than 50% of phytase activity was present at 25 °C and pH 2.</jats:p><jats:p>Here we demonstrate that insects may be suitable hosts for the heterologous expression of a microbial phytase enzyme with applications for improving animal feed nutrition and organic waste valorisation.</jats:p></jats:sec>

Ahmad A. Mannan, Declan G. Bates

• 0

<jats:title>Abstract</jats:title><jats:p>Bacteria can be harnessed to synthesise high-value chemicals. A promising strategy for increasing productivity uses inducible control systems to switch metabolism from growth to chemical synthesis once a large population of cell factories are generated. However, use of expensive chemical inducers limits scalability of this approach for biotechnological applications. Switching using cheap nutrients is an appealing alternative, but their tightly regulated uptake and consumption again limits scalability. Here, using mathematical models of fatty acid uptake in<jats:italic>E. coli</jats:italic>as an exemplary case study, we unravel how the cell’s native regulation and program of induction can be engineered to minimise inducer usage. We show that integrating positive feedback loops into the circuitry creates an irreversible metabolic switch, which, requiring only temporary induction, drastically reduces inducer usage. Our proposed switch should be widely applicable, irrespective of the product of interest, and brings closer the realization of scalable and sustainable microbial chemical production.</jats:p>

Philip Bittihn, Andriy Didovyk, Lev S. Tsimring et al.

• 0

<jats:title>Abstract</jats:title><jats:p>Rapid advances in cellular engineering<jats:sup>1,2</jats:sup>have positioned synthetic biology to address therapeutic<jats:sup>3,4</jats:sup>and industrial<jats:sup>5</jats:sup>problems, but a significant obstacle is the myriad of unanticipated cellular responses in heterogeneous environments such as the gut<jats:sup>6,7</jats:sup>, solid tumors<jats:sup>8,9</jats:sup>, bioreactors<jats:sup>10</jats:sup>or soil<jats:sup>11</jats:sup>. Complex interactions between the environment and cells often arise through non-uniform nutrient availability, which can generate<jats:italic>bidirectional</jats:italic>coupling as cells both adjust to and modify their local environment through different growth phenotypes across a colony.<jats:sup>12,13</jats:sup>While spatial sensing<jats:sup>14</jats:sup>and gene expression patterns<jats:sup>15–17</jats:sup>have been explored under homogeneous conditions, the mutual interaction between gene circuits, growth phenotype, and the environment remains a challenge for synthetic biology. Here, we design gene circuits which sense and control spatiotemporal phenotype patterns in a model system of heterogeneous microcolonies containing both growing and dormant bacteria. We implement pattern control by coupling different downstream modules to a tunable sensor module that leverages<jats:italic>E. coli⁉s</jats:italic>stress response and is activated upon growth arrest. One is an actuator module that slows growth and thereby creates an environmental negative feedback via nutrient diffusion. We build a computational model of this system to understand the interplay between gene regulation, population dynamics, and chemical transport, which predicts oscillations in both growth and gene expression. Experimentally, this circuit indeed generates robust cycling between growth and dormancy in the interior of the colony. We also use the stress sensor to drive an inducible gating module that enables selective gene expression in non-dividing cells. The ‘stress-gated lysis circuit’ derived from this module radically alters the growth pattern through elimination of the dormant phenotype upon a chemical cue. Our results establish a strategy to leverage and control the presence of distinct microbial growth phenotypes for synthetic biology applications in complex environments.</jats:p>

Cecilia Trivellin, Lisbeth Olsson, Peter Rugbjerg

• 0

<jats:title>Abstract</jats:title><jats:p>Stable cell performance in a fluctuating environment is essential for sustainable bioproduction and synthetic cell functionality; however, microbial robustness is rarely quantified. Here, we describe a high-throughput strategy for quantifying robustness of multiple cellular functions and strains in a perturbation space. We evaluated quantifications theory on experimental data and concluded that the mean-normalized Fano factor allowed accurate, reliable, and standardized quantification. Our methodology applied to perturbations related to lignocellulosic bioethanol production showed that <jats:italic>Saccharomyces cerevisiae</jats:italic> Ethanol Red exhibited both higher and more robust growth rates than CEN.PK and PE-2, while a more robust product yield traded off for lower mean levels. The methodology validated that robustness is function-specific and characterized by positive and negative function-specific trade-offs. Systematic quantification of robustness to end-use perturbations will be important to analyze and construct robust strains with more predictable functions.</jats:p><jats:sec><jats:title>Graphical Abstract</jats:title><jats:fig id="ufig1" position="float" fig-type="figure" orientation="portrait"><jats:graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="471918v1_ufig1" position="float" orientation="portrait"/></jats:fig></jats:sec>

Philipp Gaspers, Christoph Bickmann, Christina Wallner et al.

Small • 2025

Abstract Engineered Living Materials (ELMs) combine synthetic biology with artificial materials to create biohybrid living systems capable of replicating, self‐repairing, and responding to external stimuli. Due to their self‐optimization abilities, these systems hold great potential for biotechnological applications. This study is a first step toward ELMs based on DNA hydrogels, focusing on the production of biohybrid materials using the exoelectrogenic bacterium Shewanella oneidensis. To equip the bacterium with the functionality needed for building DNA hydrogels, inducible cell surface anchors are developed, which can bind exogenous polymerase via the SpyCatcher/SpyTag (SC/ST) technology. The process parameters for in situ production of DNA hydrogels are established, enabling the development of these materials in the context of living bacteria for the first time. Using an extracellular nuclease‐deficient S. oneidensis strain, stable biohybrid biofilms are generated directly on the surface of bioelectrochemical systems, showing the current generation. Given the high programmability and functionalization potential of DNA hydrogels, it is believed that this study represents a significant step toward establishing dynamic biohybrid material systems that exhibit both conductivity and metabolic activity.