Biologists Research Articles

Global transmission of extended-spectrum cephalosporin resistance in Escherichia coli driven by epidemic plasmids

Extended-spectrum cephalosporins (ESCs) are third and fourth generation cephalosporin antimicrobials used in humans and animals to treat infections due to multidrug-resistant (MDR) bacteria. Resistance to ESCs (ESC-R) in Enterobacterales is predominantly due to the production of extended-spectrum β-lactamases (ESBLs) and plasmid-mediated AmpC β-lactamases (AmpCs). The dynamics of ESBLs and AmpCs are changing across countries and host species, the result of global transmission of ESC-R genes. Plasmids are known to play a key role in this dissemination, but the relative importance of different types of plasmids is not fully understood. In this study, Escherichia coli with the major ESC-R genes blaCTX-M-1, blaCTX-M-15, blaCTX-M-14 (ESBLs) and blaCMY-2 (AmpC), were selected from diverse host species and other sources across Canada, France and Germany, collected between 2003 and 2017. To examine in detail the vehicles of transmission of the ESC-R genes, long- and short-read sequences were generated to obtain complete contiguous chromosome and plasmid sequences (n=192 ESC-R E.coli). The types, gene composition and genetic relatedness of these plasmids were investigated, along with association with isolate year, source and geographical origin, and put in context with publicly available plasmid sequences. We identified five epidemic resistance plasmid subtypes with distinct genetic properties that are associated with the global dissemination of ESC-R genes across multiple E.coli lineages and host species. The IncI1 pST3 blaCTX-M-1 plasmid subtype was found in more diverse sources than the other main plasmid subtypes, whereas IncI1 pST12 blaCMY-2 was more frequent in Canadian and German human and chicken isolates. Clonal expansion also contributed to the dissemination of the IncI1 pST12 blaCMY-2 plasmid in ST131 and ST117 E.coli harbouring this plasmid. The IncI1 pST2 blaCMY-2 subtype was predominant in isolates from humans in France, while the IncF F31:A4:B1 blaCTX-M-15 and F2:A-:B- blaCTX-M-14 plasmid subtypes were frequent in human and cattle isolates across multiple countries. Beyond their epidemic nature with respect to ESC-R genes, in our collection almost all IncI1 pST3 blaCTX-M-1 and IncF F31:A4:B1 blaCTX-M-15 epidemic plasmids also carried multiple antimicrobial resistance (AMR) genes conferring resistance to other antimicrobial classes. Finally, we found genetic signatures in the regions surrounding specific ESC-R genes, identifying the predominant mechanisms of ESC-R gene movement, and using publicly available databases, we identified these epidemic plasmids from widespread bacterial species, host species, countries and continents. We provide evidence that epidemic resistance plasmid subtypes contribute to the global dissemination of ESC-R genes, and in addition, some of these epidemic plasmids confer resistance to multiple other antimicrobial classes. The success of these plasmids suggests that they may have a fitness advantage over other plasmid types and subtypes. Identification and understanding of the vehicles of AMR transmission are crucial to develop and target strategies and interventions to reduce the spread of AMR. This project was supported by the Joint Programming Initiative on Antimicrobial Resistance (JPIAMR), through the Medical Research Council (MRC, MR/R000948/1), the Canadian Institutes of Health Research (CFC-150770), and the Genomics Research and Development Initiative (Government of Canada), the German Federal Ministry of Education and Research (BMBF) grant no. 01KI1709, the French Agency for food environmental and occupational health & safety (Anses), and the French National Reference Center (CNR) for antimicrobial resistance. Support was also provided by the Biotechnology and Biological Sciences Research Council (BBSRC) through the BBSRC Institute Strategic Programme Microbes in the Food ChainBB/R012504/1 and its constituent project BBS/E/F/000PR10348 (Theme 1, Epidemiology and Evolution of Pathogens in the Food Chain).

Synthesis Strategies, Preparation Methods, and Applications of Chiral Metal-Organic Frameworks.

Chiral metal-organic framework (CMOFs) is a kind of material with great application value in recent years. Formed by the coordination of metal ions or metal clusters with organic ligands. It is widely used in chemistry, biology, medicine and materials science because of its ordered and adjustable pores, multi-dimensional network structure, large specific surface area and excellent adsorption properties. In this paper, the synthesis strategies and preparation methods of chiral metal-organic frameworks are reviewed. In addition, the applications of chiral metal-organic framework materials in enantiomer recognition and separation, circularly polarized luminescence and asymmetric catalysis are systematically summarized. Finally, the challenges and prospects of the development of chiral metal-organic frame materials are analyzed in detail.

Predictors of Global Scientific Literacy of Pre-Service Teachers: A Structural Equation Modeling Study

The purpose of this study was to examine the relationship among pre-service science teachers' global scientific literacy and various variables within the scope of the structural equation model. Since the relations among the variables were investigated in the structural model established for this study, correlational research methodology was applied. The application was carried out with 294 pre-service teachers studying in the departments of chemistry, physics, biology and elementary science education of a state university. The data of the study were obtained with the scales of global scientific literacy, the perception of science process skills, the inquiry skills, the self-directed learning readiness in laboratory, the attitude scale towards the laboratory and the personal information questionnaire. Within the framework of structural equation modeling, the causal and relational analyses of the data were examined. The results showed that the proposed model of the relationship among global scientific literacy and the variables predicting global scientific literacy was also found to be compatible with the data, and the entire model was confirmed except for the attitude towards the laboratory. In this context, it can be claimed that these variables play an essential role in pre-service teachers’ being global scientifically literate.

Ni-Catalyzed Csp2 and Csp3 Coupling for Divergent Bisboronic Ester Synthesis.

Bisboronic esters are critical compounds in various research fields, including drug discovery, chemical biology, and material sciences. Currently, the bisboronic esters with reactive functional groups are difficult to synthesize; this is partially due to the lack of a robust method to produce these products with diverse structures and various functional groups at specific locations. To overcome this issue, this study introduced a Ni-catalysis approach to produce bisboronic esters efficiently via cross-coupling and homocoupling using readily available halogenated boronic esters as the starting material under mild reaction conditions. This newly developed strategy enables Csp2-Csp2, Csp3-Csp3, and Csp2-Csp3 couplings, demonstrating a broad substrate scope and excellent compatibility with various functional groups.

Chromatin structure and dynamics: one nucleosome at a time.

Eukaryotic genomes store information on many levels, including their linear DNA sequence, the posttranslational modifications of its constituents (epigenetic modifications), and its three-dimensional folding. Understanding how this information is stored and read requires multidisciplinary collaborations from many branches of science beyond biology, including physics, chemistry, and computer science. Concurrent recent developments in all these areas have enabled researchers to image the genome with unprecedented spatial and temporal resolution. In this review, we focus on what single-molecule imaging and tracking of individual proteins in live cells have taught us about chromatin structure and dynamics. Starting with the basics of single-molecule tracking (SMT), we describe some advantages over insitu imaging techniques and its current limitations. Next, we focus on single-nucleosome studies and what they have added to our current understanding of the relationship between chromatin dynamics and transcription. In celebration of Robert Feulgen's ground-breaking discovery that allowed us to start seeing the genome, we discuss current models of chromatin structure and future challenges ahead.

Physiology education in China: the current situation and changes over the past 3 decades

ObjectiveAs an experimental biological science, physiology has been taught as an integral component of medical curricula for a long time in China. The teaching effectiveness of physiology courses will directly affect students' learning of other medical disciplines. The purpose of this study is to investigate the current situation and changes in physiology teaching over 30 years in Chinese medical schools.MethodsNational survey was conducted online on the platform SoJump via WeChat and the web. The head of the physiology department in medical school was asked to indicate the information of physiology education from three periods: 1991–2000, 2001–2010, and 2011–2020. The responses of 80 leaders of the Department of Physiology from mainland Chinese medical schools were included in the study for analysis.ResultsThe survey showed that the class hours, both of theory and practice, had been decreased. During the past 20 years, the total number of physiology teachers, the number of physiology teachers who had been educated in medical schools, and the number of technicians had been reduced, whereas teachers with doctor’s degrees had been increased. In addition to traditional didactic teaching, new teaching approaches, including problem-based learning/case-based learning/team-based learning, integrated curriculum and formative evaluation systems, had been employed, mostly for more than 5 years, in some medical schools.ConclusionThe present study has provided historical data regarding the current status of physiology education in China and that in the past thirty years by showing that physiology education in China has developed quickly,even it faces many challenges.

Why Biological Evolution Should Inspire Worship

The theory of biological evolution has often provoked disagreement, which has frequently been divisive and counterproductive. At other times this scientific paradigm has been discussed with an apologetic intent, to explain why the science of biology and the theology of creation cannot be seen to be mutually exclusive. This paper urges Christians to move decisively to a third type of discourse. The new field of comparative genetics has provided conclusive evidence that biological evolution has given rise to the diversity of living forms, including human beings. Consequently, Christians should, with confidence, gladly accept the evolutionary paradigm and look upon evolution as a divinely ordained historical process that develops through random (stochastic, free) process, but that leads to a divinely purposed consummation. As a result, biological history in its freedom but directedness to God’s final purposes should elicit wonder. People who have come to faith in the God revealed redemptively in Jesus should uninhibitedly offer adoration and praise for evolutionary fruitfulness. Worship should characterise the human response to biological history.[1]
  
 [1] In appreciation of Professor Tom McLeish FRS, scientist, teacher, theologian.

‘Don’t Pick, Don’t Lick’: Connecting Young Children’s Risky Play in Nature to Science Education in Australian Bush Kinders

AbstractThe forest school approach to nature learning has gathered momentum in the UK and across parts of Europe including Scandinavia for well over 50 years. In other contexts that include Canada, China, New Zealand and Australia, nature-based early childhood education and care settings, influenced by European forest school approaches, are in a rapid expansion phase as educators and policy makers acknowledge the benefits for children from time spent in nature. It is known that science education opportunities exist in these nature-based settings, yet this area has only garnered limited research attention to date. An example of a nature-based approach to early childhood education which emerged in the 2010s is the Australian ‘bush kinder’. Four- to five-year-old preschool children experience and learn from nature through play in bush kinders. This paper highlights the intersections that occur between risky play and science teaching and learning in the context of bush kinders. Through analysing research in early years science education, guiding curriculum frameworks and early childhood learning, I propose the importance of children’s risky play to early childhood science education. Drawing on vignettes from ethnographic fieldwork data, the merits of risky play in bush kinders to embed science knowledge is illustrated here. Participant observation was used to build a profile of each site and to gather data relating to how educators draw on children’s risky play to seek out opportunities to teach children about physical, chemical and biological science.

Application of Artificial Neural Networks in Soil Science Research

Artificial Neural Networks utilize high-performance computation and large data technology, allowing research to generate new prospects in agriculture. ANN is currently a preferred technique for crop yield prediction, forecasting, and classification in biological science domains. Among different agriculture fields, soil science research plays a vital role in understanding and managing the complex processes occurring within the soil environment as oil is a complex system with dynamic surface layers that differ from the other parts of the matrix. Due to the increasing accessibility of innovative computing techniques, Artificial Neural Networks (ANNs) have developed into useful tools for modeling and forecasting soil-related activities. The numerous applications of ANNs in soil science research, with a focus on how well they can classify soils, assess soil fertility, forecast soil erosion, and estimate soil moisture. They are vital tools for identifying soil types, evaluating fertility levels, predicting erosion, and soil moisture estimation. ANN models were effective at predicting soil characteristics like pH, organic carbon concentration, and clay content. By training on vast datasets that contain the chemical, biological, and physical properties of soil, ANNs are able to accurately predict different soil types and enable land-use planning, precision farming, and environmental management. This mini-review focuses on ANN approaches that possess the potential to increase our understanding of soil science and encourage informed decisions for soil management and conservation.

Recent Advances on Diarylethene-Based Photoswitching Materials: Applications in Bioimaging, Controlled Singlet Oxygen Generation for Photodynamic Therapy and Catalysis.

Diarylethenes (DAE), a class of best performing photoswitchable compounds, where the key features of stability, photoisomerization wavelengths, quantum yield and variability in the photoisomers significantly depend on their derivatization. The last decade has witnessed a surge in the engagement of DAEs to different areas of chemical and biological impacts like catalysis in synthetic organic chemistry, biological markers for in vivo imaging of live cells, chemosensing within cells to photo-dynamic therapy by controlled generation of singlet oxygen. Previous reviews on applications of DAE-based systems did not predominantly cover all the aspects of biological and industrial implementations. They have covered only one field of application either in the biological science or the synthetic aspect or photochromic aspects only. This review is a coalition of all those aspects in last six years. Here the variation of properties of the DAE systems with respect to structural diversifications have been discussed in detail along with their potential applications in catalysis, regulating singlet oxygen generation, photodynamic therapy, bioimaging and their future prospects. We hope that this review will certainly motivate researchers to generate new DAE architectures with superior bioimaging or catalyzing properties in future.

The Indispensable Roles of GMDS and GMDS-AS1 in the Advancement of Cancer: Fucosylation, Signal Pathway and Molecular Pathogenesis.

Fucosylation is facilitated by converting GDP-mannose to GDP-4-keto-6-deoxymannose, which GDP-mannose 4,6-dehydratase, a crucial enzyme in the route, carries out. One of the most prevalent glycosylation alterations linked to cancer has reportedly been identified as fucosylation. There is mounting evidence that GMDS is intimately linked to the onset and spread of cancer. Furthermore, the significance of long-chain non-coding RNAs in the development and metastasis of cancer is becoming more well-recognized, and the regulatory mechanism of lncRNAs has emerged as a prominent area of study in the biological sciences. GMDS-AS1, an antisense RNA of GMDS, was discovered to have the potential to be an oncogene. We have acquired and analyzed relevant data to understand better how GMDS-AS1 and its lncRNA work physiologically and in tumorigenesis and progression. Additionally, we have looked into the possible effects of these molecules on cancer treatment approaches and patient outcomes. The physiological roles and putative processes of GMDS and lncRNA GMDS-AS1 throughout the development and progression of tumors have been assembled and examined. We also examined how these chemicals might affect patient prognosis and cancer therapy approaches. GMDS and GMDS-AS1 were determined to be research subjects by searching and gathering pertinent studies using the PubMed system. The analysis of these research articles demonstrated the close relationship between GMDS and GMDS-AS1 and tumorigenesis and the factors that influence them. GMDS plays a vital role in regulating fucosylation. The related antisense gene GMDS-AS1 affects the biological behaviors of cancer cells through multiple pathways, including the key processes of proliferation, migration, invasion, and apoptosis, providing potential biomarkers and therapeutic targets for cancer treatment and prognosis assessment.

Single-Particle Photothermal Circular Dichroism and Photothermal Magnetic Circular Dichroism Microscopy.

Recent advances in single-particle photothermal circular dichroism (PT CD) and photothermal magnetic circular dichroism (PT MCD) microscopy have shown strong promise for diverse applications in chirality and magnetism. Photothermal circular dichroism microscopy measures direct differential absorption of left- and right-circularly polarized light by a chiral nanoobject and thus can measure a pure circular dichroism signal, which is free from the contribution of circular birefringence and linear dichroism. Photothermal magnetic circular dichroism, which is based on the polar magneto-optical Kerr effect, can probe the magnetic properties of a single nanoparticle (of sizes down to 20 nm) optically. Single-particle measurements enable studies of the spatiotemporal heterogeneity of magnetism at the nanoscale. Both PT CD and PT MCD have already found applications in chiral plasmonics and magnetic nanomaterials. Most importantly, the advent of these microscopic techniques opens possibilities for many novel applications in biology and nanomaterial science.

The fading of status bias during the open peer review process

The growing number of preprints allows reviewers to identify the authors’ identities prior to the peer review process. Yet, it remains unclear whether the preprint exposure of prestigious authors to reviewers is correlated with review features. Here, we employed the linear regression model to examine this relationship. By collecting open peer review reports of 2,059 papers published in Nature Communications in 2019 within the fields of biological and health sciences, we found no obvious difference in review features when the identities of authors with different academic prestige are potentially exposed to reviewers. Specifically, no significant effect was observed on the number of questions raised and the sentiments of the review reports (positivity and subjectivity) in the first round of the peer review process. Moreover, we found no evidence that review features from anonymous reviewers were more positively or subjectively expressed than those with reviewers’ names publicly available. The results persisted even when assuming all papers were under single-blind peer review, which were validated by using the eLife data. This study indicates that papers with both prestigious and less well-known authors are treated equally during the open peer review process, which contributes to the ongoing discourse on the fairness of peer review within the scientific community.

Enhancing resolution and contrast in fibre bundle-based fluorescence microscopy using generative adversarial network.

Fibre bundle (FB)-based endoscopes are indispensable in biology and medical science due to their minimally invasive nature. However, resolution and contrast for fluorescence imaging are limited due to characteristic features of the FBs, such as low numerical aperture (NA) and individual fibre core sizes. In this study, we improved the resolution and contrast of sample fluorescence images acquired using in-house fabricated high-NA FBs by utilising generative adversarial networks (GANs). In order to train our deep learning model, we built an FB-based multifocal structured illumination microscope (MSIM) based on a digital micromirror device (DMD) which improves the resolution and the contrast substantially compared to basic FB-based fluorescence microscopes. After network training, the GAN model, employing image-to-image translation techniques, effectively transformed wide-field images into high-resolution MSIM images without the need for any additional optical hardware. The results demonstrated that GAN-generated outputs significantly enhanced both contrast and resolution compared to the original wide-field images. These findings highlight the potential of GAN-based models trained using MSIM data to enhance resolution and contrast in wide-field imaging for fibre bundle-based fluorescence microscopy. Lay Description: Fibre bundle (FB) endoscopes are essential in biology and medicine but suffer from limited resolution and contrast for fluorescence imaging. Here we improved these limitations using high-NA FBs and generative adversarial networks (GANs). We trained a GAN model with data from an FB-based multifocal structured illumination microscope (MSIM) to enhance resolution and contrast without additional optical hardware. Results showed significant enhancement in contrast and resolution, showcasing the potential of GAN-based models for fibre bundle-based fluorescence microscopy.

Pleiotropic Nanostructures Built from l-Histidine Show Biologically Relevant Multicatalytic Activities.

The essential amino acid histidine plays a central role in the manifestation of several metabolic processes, including protein synthesis, enzyme-catalysis, and key biomolecular interactions. However, excess accumulation of histidine causes histidinemia, which shows brain-related medical complications, and the molecular mechanism of such histidine-linked complications is largely unknown. Here, we show that histidine undergoes a self-assembly process, leading to the formation of amyloid-like cytotoxic and catalytically active nanofibers. The kinetics of histidine self-assembly was favored in the presence of Mg(II) and Co(II) ions. Molecular dynamics data showed that preferential noncovalent interactions dominated by H-bonds between histidine molecules facilitate the formation of histidine nanofibers. The histidine nanofibers induced amyloid cross-seeding reactions in several proteins and peptides including pathogenic Aβ1-42 and brain extract components. Further, the histidine nanofibers exhibited oxidase activity and enhanced the oxidation of neurotransmitters. Cell-based studies confirmed the cellular internalization of histidine nanofibers in SH-SY5Y cells and subsequent cytotoxic effects through necrosis and apoptosis-mediated cell death. Since several complications including behavioral abnormality, developmental delay, and neurological disabilities are directly linked to abnormal accumulation of histidine, our findings provide a foundational understanding of the mechanism of histidine-related complications. Further, the ability of histidine nanofibers to catalyze amyloid seeding and oxidation reactions is equally important for both biological and materials science research.

The Racialization of Killer Whales: An Application of Gene-Culture Coevolutionary Theory

Abstract An expanding body of research aims to identify culture in cetaceans, often positing killer whales as an exemplar species. To this end, gene-culture coevolutionary theory provides a conceptual language with which whales are discussed in raciological terms. It renders killer whale ecotypes as discrete cultures that are intrinsically xenophobic and evolutionarily divergent. Such research on whale culture intends to substantiate theories of divergent natural selection between human cultures as well. This effort furthers the essentialism, simultaneously biological and cultural, that has long impelled colonial technoscientific projects of racial typologization. The exchange between the raciologies of humans and killer whales is facilitated by the infrahumanizing frameworks of gene-culture coevolutionary theory that locate whale populations alongside indigenous peoples on a spectrum of cultural simplicity and complexity. At this convergence of the animal and the human, gene-culture coevolutionary theory posits indigenous peoples and killer whales as evidence for social Darwinist theories that dehistoricize and naturalize intercultural conflict and ethnicization. The extension of raciology beyond the human species signals an urgent need to decolonize the biological sciences.

Scientific and Technological Advances as Current Challenges to the Biological Weapons Non-Proliferation Regime

The recent advances in biological sciences and biotechnology have resulted in new knowledge and capabilities that  challenge existing understandings of biological threats and biological weapons (BW). The purpose of the article is to  evaluate scientific and engineering decisions that pose potential challenges to the biological weapons non-proliferation  regime and can reduce barriers to their development, production and use. Materials and methods. The scientific articles  available through the PubMed, Google Scholar and Russian Electronic Library databases were used in the research.  The method of analysis is the description. The results of the research. The success of biotechnology provides impetus for  experimentation with biological weapons, particularly by non-state actors such as terrorist organizations and extremist  groups. Transformative changes are occurring in areas not directly related to microbiology. However, the potential for  their malicious use is no less of a concern than the development, production and stockpiling of biological weapons.  The transformation of the concept of «biological threat» is traced. It becomes more complex and includes elements  from other fields outside of biotechnology and the traditional understanding of biological weapons. In addition to  biotechnology and synthetic biology, such technologies that are directly related to the BTWC issue, may include:  additive manufacturing based on 3D printing technologies; big data analysis and artificial intelligence technologies;  nanotechnology and materials science, as well as biological research automation and robotics. Conclusion. Many dual-use technologies have received close attention from the scientific community and international experts, but this does  not always contribute to an accurate and balanced understanding of their potential in the context of BTWC issues. The  convergence of new and emerging disciplines is creating new areas of scientific knowledge that address the problem of  non-proliferation of biological weapons, which requires the expert community to make a balanced assessment from  the point of view of both dual use and the risk of excessive prohibition and negative impact on further scientific and  technological progress.

Mediating sequential turn-on and turn-off fluorescence signals for discriminative detection of Ag+ and Hg2+ via readily available CdSe quantum dots

Realizing the accurate recognition and quantification of heavy metal ions is pivotal but challenging in the environmental, biological, and physiological science fields. In this work, orange fluorescence emitting quantum dots (OQDs) have been facilely synthesized by one-step method. The participation of silver ion (Ag+) can evoke the unique aggregation-induced emission (AIE) of OQDs, resulting in prominent fluorescence enhancement, which is scarcely reported previously. Moreover, the Ag+-triggered turn-on fluorescence can be continuously shut down by mercury ion (Hg2+). This intriguing sequential fluorescence variation exhibits great sensing potency for discrimination and quantification of Ag+ and Hg2+. Meanwhile, our OQDs also exhibit good selectivity, sensitivity, and rapid response toward Ag+ and Hg2+ detection. Due to their high performance, OQDs have been applied to the determination of Ag+ and Hg2+ levels in daily necessities and water samples with satisfactory results. Moreover, a portable smartphone-assisted sensing platform based on chromatic change has been constructed, facilitating the real-time and naked-eye visualization in the resource-confined scene. We anticipate that the discovery of these OQDs would be advantageous for exploring novel QDs materials for fluorescence detection.

Viés Alternativo Para a Compreensão do Mundo? Uma Análise da Percepção de Graduandos em Ciências Biológicas Sobre Pseudociência

Pseudoscience is able to deceive even the most skeptical individuals due to its tactic of mimicking the processes of science, from simulating a methodology and a scientific language, to inducing a rationality. Therefore, considering this trick of pseudoscience, this study aimed to analyze the perception of undergraduate students in Biological Sciences about the general characteristics of pseudoscience, since these students are in the process of training and may act to combat the anti-science front. To achieve our goal, we applied a questionnaire of agreement with a Likert-type scale, and its results were analyzed from the average ranking of the answers obtained. In total, 56 undergraduate and 32 bachelor students participated. The results of the research show that students do not differentiate scientific denialism from pseudoscience and remain in a field of neutrality, when dealing with the criterion of falsifiability to characterize the Sciences.

Seeing Like a Model Fish: How Digital Extractions Mediate Metabolic Relations

Digital models have become key sites of biological practice and science policy. This paper examines efforts to craft a digital salmon model for metabolic research. It traces the data configurations of feed, food, and health in Norway’s bioeconomy aspirations—from cell culture studies in the lab to an integrated digital repository and public health nutrition trials in schools. A response to policy calls for more sustainable aquaculture, digital models become lynchpins for intensified data sourcing. I describe how datafication and digital model integration enact a particular mode of management, focused on profitability and human preferences, when optimizing fish feed to sustainability goals. Integrating molecular biology and mathematical functions, digital modeling promotes the idea of a prediction machine for preemptive optimization of feed and food across settings. Yet, unforeseen disruptions to aquaculture, for instance, by algae and lice, expose the complexity of marine food webs and the limitations of digital models. Even while in the making, the digital fish model becomes performative and shapes knowledge practices much beyond the lab. As knowledge infrastructures, models participate in the remaking of metabolic relations, recalibrating decision-making, while feeding back into and co-shaping the very entities and environments they were crafted to investigate.