The mismeasure of machine: Synthetic biology and the trouble with engineering metaphors

There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-Scale Machines

The applicability of computational models to the biological world is an active topic of debate. We argue that a useful path forward results from abandoning hard boundaries between categories and adopting an observer-dependent, pragmatic view. Such a view dissolves the contingent dichotomies driven by human cognitive biases (e.g., a tendency to oversimplify) and prior technological limitations in favor of a more continuous view, necessitated by the study of evolution, developmental biology, and intelligent machines. Form and function are tightly entwined in nature, and in some cases, in robotics as well. Thus, efforts to re-shape living systems for biomedical or bioengineering purposes require prediction and control of their function at multiple scales. This is challenging for many reasons, one of which is that living systems perform multiple functions in the same place at the same time. We refer to this as "polycomputing"-the ability of the same substrate to simultaneously compute different things, and make those computational results available to different observers. This ability is an important way in which living things are a kind of computer, but not the familiar, linear, deterministic kind; rather, living things are computers in the broad sense of their computational materials, as reported in the rapidly growing physical computing literature. We argue that an observer-centered framework for the computations performed by evolved and designed systems will improve the understanding of mesoscale events, as it has already done at quantum and relativistic scales. To develop our understanding of how life performs polycomputing, and how it can be convinced to alter one or more of those functions, we can first create technologies that polycompute and learn how to alter their functions. Here, we review examples of biological and technological polycomputing, and develop the idea that the overloading of different functions on the same hardware is an important design principle that helps to understand and build both evolved and designed systems. Learning to hack existing polycomputing substrates, as well as to evolve and design new ones, will have massive impacts on regenerative medicine, robotics, and computer engineering.

Synthetic living machines: A new window on life

Increased control of biological growth and form is an essential gateway to transformative medical advances. Repairing of birth defects, restoring lost or damaged organs, normalizing tumors, all depend on understanding how cells cooperate to make specific, functional large-scale structures. Despite advances in molecular genetics, significant gaps remain in our understanding of the meso-scale rules of morphogenesis. An engineering approach to this problem is the creation of novel synthetic living forms, greatly extending available model systems beyond evolved plant and animal lineages. Here, we review recent advances in the emerging field of synthetic morphogenesis, the bioengineering of novel multicellular living bodies. Emphasizing emergent self-organization, tissue-level guided self-assembly, and active functionality, this work is the essential next generation of synthetic biology. Aside from useful living machines for specific functions, the rational design and analysis of new, coherent anatomies will greatly increase our understanding of foundational questions in evolutionary developmental and cell biology.

Metabolic Reprogramming, Questioning, and Implications for Cancer

The expression "metabolic reprogramming" has been encountered more and more in the literature since the mid-1990s. It seems to encompass several notions depending on the author, but the lack of a clear definition allows it to be used as a "catch-all" expression. Our first intention is to point out the inconsistencies in the use of the reprogramming terminology for cancer metabolism. The second is to address the over-focus of the role of mutations in metabolic adaptation. With the increased interest in metabolism and, more specifically, in the Warburg effect in cancer research, it seems appropriate to discuss this terminology and related concepts in detail.

Models for DNA Design Tools: The Trouble with Metaphors Is That They Don't Go Away

Synthetic biology relies heavily on DNA design tools to enable manipulation of DNA in silico. Existing tools, however, are falling short of enabling aspirations for the field that emphasize efficient, automated design pipelines. We review existing DNA design tools, identify underlying similarities in how they model correlations between DNA structure and function, and suggest that iterating the existing model is unlikely to overcome limitations in matching software applications to design aspirations. The current model is predicated on metaphors conceptualizing DNA as linear text, accounting for relatively little of the known complexity of DNA function. New models that can account for more of that complexity and thus enable more ambitious DNA design goals are likely to call for new underlying metaphors-a need that may be addressed by rethinking DNA in terms of human rather than computer languages.

Commercial Rodents in America: Standard Animals, Model Animals, and Biological Diversity

Rodents as standardized test animals were developed for commercial distribution in the USA between 1910 and the 1930s. The selective breeding of rats (Rattus norvegicus) and pure-bred mice (Mus musculus) at the Wistar Institute and the Jackson Memorial Laboratories eventually led to a decline in the diversity of species used in American medical and life sciences. The early driving figures, science administrator Milton Greenman and the scientists Henry Donaldson and Clarence Little, sought to standardize animals to render science and its application to humanity more precise. But their efforts were exaggerated in the USA through an expanding industrial and engineering ideal, culminating in a preference for Big Science. I explore the nineteenth century origins of this ideal in Emil Du Bois-Reymond's neurophysiology. This foundation later merged with increasing standardization, American commercialism, and the success of Big Science to transform animal laboratory "standards" into "model animals." Recent accounts of research with commercially bred mice reveal how findings can be co-constructed using human clinical data, as animal research is applied to humans. The neglect of evolutionary perspectives and the dominance of "models" may even have begun with the government's post-war emphasis on funding greater species access for large-scale biomedical research.

Design Methodologies and the Limits of the Engineering-Dominated Conception of Synthetic Biology

Synthetic biology is described as a new field of biotechnology that models itself on engineering sciences. However, this view of synthetic biology as an engineering field has received criticism, and both biologists and philosophers have argued for a more nuanced and heterogeneous understanding of the field. This paper elaborates the heterogeneity of synthetic biology by clarifying the role of design and the variability of design methodologies in synthetic biology. I focus on two prominent design methodologies: rational design and directed evolution. Rational design resembles the design methodology of traditional engineering sciences. However, it is often replaced and complemented by the more biologically-inspired method of directed evolution, which models itself on natural evolution. These two approaches take philosophically different stances to the design of biological systems. Rational design aims to make biological systems more machine-like, whereas directed evolution utilizes variation and emergent features of living systems. I provide an analysis of the methodological basis of these design approaches, and highlight important methodological differences between them. By analyzing the respective benefits and limitations of these approaches, I argue against the engineering-dominated conception of synthetic biology and its "methodological monism", where the rational design approach is taken as the default design methodology. Alternative design methodologies, like directed evolution, should be considered as complementary, not competitive, to rational design.

How to do things with metaphors: engineering life as hodgepodge

This paper presents a collaboration between social scientists and a chemist exploring the promises for new therapy development at the intersection between synthetic biology and nanotechnology. Drawing from ethnographic studies of laboratories and a recorded discussion between the three authors, we interrogate the metaphors that underpin what Mackenzie (Futures 48:5-12 2013) has identified as a recursive relationship in the iconography of the life sciences and its infrastructure. Focusing specifically on the use of gene editing techniques in synthetic biology and bio-nanotechnology, we focus our analysis on the key metaphors of 'evolutionary life as hodge-podge' within which 'cutting' of DNA and the 'sticking' and 'binding' of engineered particles to proteins can be performed by researchers in laboratory settings. Taken together, we argue that these metaphors are consequential for understanding metaphors of life-as-machine and the prevalence of notions of 'engineering life'. Exploring the ways in which notions of cutting, targeting and life as an evolutionary hodgepodge prefigure a more contingent notion of engineering and synthesis we close by considering the interpretive implications for ethnomethodological approaches to contemporary life science research.

Evolutionary tinkering vs. rational engineering in the times of synthetic biology

Synthetic biology is not only a contemporary reformulation of the recombinant DNA technologies of the last 30 years, combined with descriptive language imported from electrical and industrial engineering. It is also a new way to interpret living systems and a statement of intent for the use and reprogramming of biological objects for human benefit. In this context, the notion of designer biology is often presented as opposed to natural selection following the powerful rationale formulated by François Jacob on evolution-as-tinkering. The onset of synthetic biology opens a different perspective by leaving aside the question about the evolutionary origin of biological phenomena and focusing instead on the relational logic and the material properties of the corresponding components that make biological system work as they do. Once a functional challenge arises, the solution space for the problem is not homogeneous but it has attractors that can be accessed either through random exploration (as evolution does) or rational design (as engineers do). Although these two paths (i.e. evolution and engineering) are essentially different, they can lead to solutions to specific mechanistic bottlenecks that frequently coincide or converge-and one can easily help to understand and improve the other. Alas, productive discussions on these matters are often contaminated by ideological preconceptions that prevent adoption of the engineering metaphor to understand and ultimately reshape living systems-as ambitioned by synthetic biology. Yet, some possible ways to overcome the impasse are feasible. In parallel to Monod's evolutionary paradox of teleo-logy (finality/purpose) vs. teleo-nomy (appearance of finality/purpose), a mechanistic paradox could be entertained between techno-logy (rational engineering) vs techno-nomy (appearance of rational engineering), all for the sake of understanding the relational logic that enables live systems to function as physico-chemical entities in time and space. This article thus proposes a radical vision of synthetic biology through the lens of the engineering metaphor.

Synthetic biology in the German press: how implications of metaphors shape representations of morality and responsibility

Synthetic biology (SynBio) represents a relatively young field of research which has developed into an important scientific endeavour. Characterised by a high degree of interdisciplinary work crossing disciplinary boundaries, such as biology, mathematics and engineering, SynBio has been, since its beginning, devoted to creating new biological functions, metabolic pathways or even minimal organisms. Although its often-articulated aim of developing new forms of life has so far not been archived, SynBio nowadays represents a well-established biotechnological approach and it has also attracted public concern, especially since Craig Venter's work on Mycoplasma Mycoides JCVI-syn1.0. Taking these developments as a starting point, the paper empirically investigates the metaphorical representations of SynBio in two leading German media publications, the daily newspaper Die Frankfurter Allgemeine Zeitung and the weekly magazine Der Spiegel between 2000 and 2010. Using a novel combination of metaphor and co-occurrence analysis, the paper engages in a systematic examination of implicit moral implications inherent in linguistic images permeating this news coverage. It demonstrates a method of how media-metaphorical representations and their moral implications of SynBio could analytically be revealed and analysed. In doing so, it aims at contributing to empirical ethical analyses of the news coverage on SynBio in particular and offers an approach that methodologically adds to literature on responsible language use, which is emerging in science and technology studies and ethical analyses of new technologies.

Images of synthetic life: Mapping the use and function of metaphors in the public discourse on synthetic biology

Synthetic biology is currently one of the most frequently addressed emerging biotechnologies. Developments within this field receive a great deal of attention in media coverage, in which they are frequently illustrated by certain forms of metaphorical speech. Although it can be assumed that societal perceptions and evaluations of emerging biotechnologies are shaped by media coverage and its transported images, there is a lack of empirical research examining the reporting on synthetic biology as well as the use and function of metaphors within media articles. Thus, filling in this gap is one of the urgent desiderata for gaining an enhanced understanding of public views and assessments of this field of biotechnology. Against this background, this article addresses two main questions: (1) Which metaphors and framings are prevalent in the media discourse and what meaning do they have? (2) In which way are metaphors used in media coverage and what function do they have? The research is based on a media content analysis and includes a total number of 11.867 German- as well as English-language media articles dealing with synthetic biology, covering the period between 2004 and 2015. The findings suggest that forms of metaphorical speech address the novelty of current and envisioned scientific developments, highlighting their potential to shift social values and cultural concepts of life and nature. Basic expressions for describing progress within the field of synthetic biology are mainly descriptive metaphors originating from the semantic fields of craft, engineering, IT or art. In comparison, the total frequency of religiously charged metaphors, such as “playing God” or “creating life”, is substantially lower. This low usage rate of religio-cultural expressions in media coverage can be considered a surprising result, since other empirical studies and particularly the ongoing broader ethical discussion attach more importance to these forms of metaphorical speech.

Machine metaphors and ethics in synthetic biology

The extent to which machine metaphors are used in synthetic biology is striking. These metaphors contain a specific perspective on organisms as well as on scientific and technological progress. Expressions such as "genetically engineered machine", "genetic circuit", and "platform organism", taken from the realms of electronic engineering, car manufacturing, and information technology, highlight specific aspects of the functioning of living beings while at the same time hiding others, such as evolutionary change and interdependencies in ecosystems. Since these latter aspects are relevant for, for example, risk evaluation of uncontained uses of synthetic organisms, it is ethically imperative to resist the thrust of machine metaphors in this respect. In addition, from the perspective of the machine metaphor viewing an entity as a moral agent or patient becomes dubious. If one were to regard living beings, including humans, as machines, it becomes difficult to justify ascriptions of moral status. Finally, the machine metaphor reinforces beliefs in the potential of synthetic biology to play a decisive role in solving societal problems, and downplays the role of alternative technological, and social and political measures.

Synthetic biology, metaphors and responsibility

Metaphors are not just decorative rhetorical devices that make speech pretty. They are fundamental tools for thinking about the world and acting on the world. The language we use to make a better world matters; words matter; metaphors matter. Words have consequences - ethical, social and legal ones, as well as political and economic ones. They need to be used 'responsibly'. They also need to be studied carefully - this is what we want to do through this editorial and the related thematic collection. In the context of synthetic biology, natural and social scientists have become increasingly interested in metaphors, a wave of interest that we want to exploit and amplify. We want to build on emerging articles and books on synthetic biology, metaphors of life and the ethical and moral implications of such metaphors. This editorial provides a brief introduction to synthetic biology and responsible innovation, as well as a comprehensive review of literature on the social, cultural and ethical impacts of metaphor use in genomics and synthetic biology. Our aim is to stimulate an interdisciplinary and international discussion on the impact that metaphors can have on science, policy and publics in the context of synthetic biology.

Working with bacteria and putting bacteria to work: The biopolitics of synthetic biology for energy in the United Kingdom

The UK government has made significant investment into so called 'fourth-generation' biofuel technologies. These biofuels are based on engineering the metabolic pathways of bacteria in order to create products compatible with existing infrastructure. Bacteria play an important role in what is promoted as a potentially new biological industrial revolution, which could address some of the negative environmental legacies of the last. This article presents results from ethnographic research with synthetic biologists who are challenged with balancing the curiosity-driven and intrinsically fulfilling scientific task of working with bacteria, alongside the policy-driven task of putting bacteria to work for extrinsic economic gains. In addition, the scientists also have to balance these demands with a new research governance framework, Responsible Research and Innovation, which envisions technoscientific innovation will be responsive to societal concerns and work in collaboration with stakeholders and members of the public. Major themes emerging from the ethnographic research revolve around stewardship, care, responsibility and agency. An overall conflict surfaces between individual agents assuming responsibility for 'stewarding' bacteria, against funding systems and structures imposing responsibility for economic growth. We discuss these findings against the theoretical backdrop of a new concept of 'energopolitics' and an anthropology of ethics and responsibility.

Metaphors in search of a target: the curious case of epigenetics

Carrying out research in genetics and genomics and communicating about them would not be possible without metaphors such as "information," "code," "letter" or "book." Genetic and genomic metaphors have remained relatively stable for a long time but are now beginning to shift in the context of synthetic biology and epigenetics. This article charts the emergence of metaphors in the context of epigenetics, first through collecting some examples of metaphors in scientific and popular writing and second through a systematic analysis of metaphors used in two UK broadsheets. Findings show that while source domains for metaphors can be identified, such as our knowledge of electrical switches or of bookmarks, it is difficult to pinpoint target domains for such metaphors. This may be indicative both of struggles over what epigenetics means for scientists (natural and social) and of difficulties associated with talking about this, as yet, young field in the popular press.

Engineering and Biology: Counsel for a Continued Relationship

Biologists frequently draw on ideas and terminology from engineering. Evolutionary systems biology-with its circuits, switches, and signal processing-is no exception. In parallel with the frequent links drawn between biology and engineering, there is ongoing criticism against this cross-fertilization, using the argument that over-simplistic metaphors from engineering are likely to mislead us as engineering is fundamentally different from biology. In this article, we clarify and reconfigure the link between biology and engineering, presenting it in a more favorable light. We do so by, first, arguing that critics operate with a narrow and incorrect notion of how engineering actually works, and of what the reliance on ideas from engineering entails. Second, we diagnose and diffuse one significant source of concern about appeals to engineering, namely that they are inherently and problematically metaphorical. We suggest that there is plenty of fertile ground left for a continued, healthy relationship between engineering and biology.