Two sides of the same coin? The (techno)epistemic cultures of systems and synthetic biology

Systems and synthetic biology both emerged around the turn of this century as labels for new research approaches. Although their disciplinary status as well as their relation to each other is rarely discussed in depth, now and again the idea is invoked that both approaches represent ‘two sides of the same coin’. The following paper focuses on this general notion and compares it with empirical findings concerning the epistemic cultures prevalent in the two contexts. Drawing on interviews with researchers from both fields, on participatory observation in conferences and courses and on documentary analysis, this paper delineates differences and similarities, incompatibilities and blurred boundaries. By reconstructing systems and synthetic biology’s epistemic cultures, this paper argues that they represent two ‘communities of vision’, encompassing heterogeneous practices. Understanding the relation of the respective visions of understanding nature and engineering life is seen as indispensible for the characterisation of (techno)science in more general terms. Depending on the conceptualisation of understanding and construction (or: science and engineering), related practices such as in silico modelling for enhancing understanding or enabling engineering can either be seen as incommensurable or ‘two sides of one coin’.     

Co-evolution of physical and social sciences in synthetic biology

Emerging technologies research often covers various perspectives in disciplines and research areas ranging from hard sciences, engineering, policymaking, and sociology. However, the interrelationship between these different disciplinary domains, particularly the physical and social sciences, often occurs many years after a technology has matured and moved towards commercialization. Synthetic biology may serve an exception to this idea, where, since 2000, the physical and the social sciences communities have increasingly framed their research in response to various perspectives in biological engineering, risk assessment needs, governance challenges, and the social implications that the technology may incur. This paper reviews a broad collection of synthetic biology literature from 2000–2016, and demonstrates how the co-development of physical and social science communities has grown throughout synthetic biology’s earliest stages of development. Further, this paper indicates that future co-development of synthetic biology scholarship will assist with significant challenges of the technology’s risk assessment, governance, and public engagement needs, where an interdisciplinary approach is necessary to foster sustainable, risk-informed, and societally beneficial technological advances moving forward.     

Review of quantitative and qualitative studies on U.S. public perceptions of synthetic biology

How are public perceptions towards synthetic biology likely to evolve? Which factors will impact the framing of this emerging technology, its benefits and risks? The objective of this article is not to draw exhaustive conclusions about public perceptions of synthetic biology, but rather to provide readers with a review of integrated findings from the first quantitative and qualitative research ever conducted on this subject in the United States. Synthetic biology survey research shows two clear findings. The first is that most people know little or nothing about synthetic biology. Second, notwithstanding this lack of knowledge, respondents are likely to venture some remark about what they think synthetic biology is and the tradeoff between potential benefits and potential risks. Finding only some support for the “familiarity argument”—according to which support for emerging technologies will likely increase as awareness of them develops—this article suggests that analogs to cloning, genetic engineering and stem cell research appear to be recurrent in the framing process of synthetic biology. The domain of application seems to be another decisive factor in the framing of synthetic biology. Finally, acceptance of the risk-benefit tradeoff of synthetic biology seems to depend on having an oversight structure that would prove able to manage unknowns, human and environmental concerns, and long-term effects. The most important conclusion of this study is the need for additional investigation of factors that will shape public perceptions about synthetic biology, its potential benefits, and its potential risks.     

合成微生物体系研究进展

合成微生物体系作为自下而上构建的人工合成微生物群落,相比于自然微生物群落具有复杂度低及可控性、可操作性强等特点。其作为新兴的生物技术,综合借鉴了合成生物学、系统生物学、生物进化等知识,通过合理的设计、规划与调控,成为研究微生物生态学理论的实验平台,以及验证已知理论的微生物系统。本文首先简单介绍了合成微生物体系的概念及其由来,阐述了其基本构建原则,随后介绍了其生态学理论基础,并总结概括了近年来的实际应用,最后提出合成微生物体系的发展前景,包括需要设计构建更为复杂的人工合成微生物群落,以及优化生态模型。     

2018 iGEM专栏序言

国际基因工程机器大赛(iGEM),作为一项以合成生物学为主题,集合了多种交叉学科的学生科研赛事,已成为了当今生物科研领域属于年轻人的最具活力和影响力的舞台。近年来,许多来自国内的大学和高中队伍不仅在比赛中取得了优异成绩,还做出了具有创新性的科研成果。为此,我们特组织出版了此iGEM专栏,集中报道近年来国内多支iGEM参赛队的研究工作,同时关注、探讨iGEM大赛在中国的发展情况和对大学生科研能力培养的启示。     

面向先进生物燃料的合成生物学

先进生物燃料一般指来自于非粮食原料的交通运输用生物燃料。近年来,先进生物燃料的发展引起了众多国家的浓厚兴趣,然而,先进生物燃料正处于关键的技术研发阶段,还需经过大量研发以突破技术障碍和示范生产活动后方能进行商业化部署。过去10年内,合成生物学研究大量兴起并不断取得突破,使人们有可能人工设计构建新的高效生命系统,克服生物燃料发展的技术瓶颈,进行先进生物燃料的生产。在介绍先进生物燃料与合成生物学的发展现状的基础上,分析了合成生物学在先进生物燃料研发中的重要价值与研发进展,探讨了合成生物学的发展潜力。     

Synthetic biology as a source of global health innovation

Synthetic biology has the potential to contribute breakthrough innovations to the pursuit of new global health solutions. Wishing to harness the emerging tools of synthetic biology for the goals of global health, in 2011 the Bill & Melinda Gates Foundation put out a call for grant applications to “Apply Synthetic Biology to Global Health Challenges” under its “Grand Challenges Explorations” program. A highly diverse pool of over 700 applications was received. Proposed applications of synthetic biology to global health needs included interventions such as therapeutics, vaccines, and diagnostics, as well as strategies for biomanufacturing, and the design of tools and platforms that could further global health research.     

Creating parts that allow for rational design: Synthetic biology and the problem of context-sensitivity

The parts-based engineering approach in synthetic biology aims to create pre-characterised biological parts that can be used for the rational design of novel functional systems. Given the context-sensitivity of biological entities, a key question synthetic biologists have to address is what properties these parts should have so that they give a predictable output even when they are used in different contexts. In the first part of this paper I will analyse some of the answers that synthetic biologists have given to this question and claim that the focus of these answers on parts and their properties does not allow us to tackle the problem of context-sensitivity. In the second part of the paper, I will argue that we might have to abandon the notions of parts and their properties in order to understand how independence in biology could be achieved. Using Robert Cummins’ account of functional analysis, I will then develop the notion of a capacity and its condition space and show how these notions can help to tackle the problem of context-sensitivity in biology.     

Basic science through engineering? Synthetic modeling and the idea of biology-inspired engineering

Synthetic biology is often understood in terms of the pursuit for well-characterized biological parts to create synthetic wholes. Accordingly, it has typically been conceived of as an engineering dominated and application oriented field. We argue that the relationship of synthetic biology to engineering is far more nuanced than that and involves a sophisticated epistemic dimension, as shown by the recent practice of synthetic modeling. Synthetic models are engineered genetic networks that are implanted in a natural cell environment. Their construction is typically combined with experiments on model organisms as well as mathematical modeling and simulation. What is especially interesting about this combinational modeling practice is that, apart from greater integration between these different epistemic activities, it has also led to the questioning of some central assumptions and notions on which synthetic biology is based. As a result synthetic biology is in the process of becoming more “biology inspired.”     

Minimal cells: relevance and interplay of physical and biochemical factors

Research on the construction of minimal cell-like systems is continuously progressing. The aim is to assemble a synthetic or semi-synthetic cell by encapsulating the minimal set of different macromolecules into a lipid vesicle (liposome). Synthetic cells have their relevance as new biotechnological tool for use in synthetic biology and in research into the origin of life. In recent years, several technical advances have been reported and reviewed, but most deal with the biochemical and molecular biology of protein synthesis inside liposomes, whereas a discussion on the importance and the interplay of some physical factors has not been discussed. In this short review, we comment on physical aspects, such as compartment formation and solute entrapment, and on the nature of lipid membrane. Emphasis is given to their relevance for the technology of construction of synthetic cells, and for new aspects of vesicle population studies.     

基于Web of Science的合成生物学文献计量分析

合成生物学是一个新兴的交叉学科,近年来得到了广泛关注。本文以1992-2012年期间Web of Science数据库收录的5012篇与合成生物学相关的论文为研究对象,进行年代分布、地域分布、机构分布、研究热点等方面的计量分析,以探究合成生物领域的研究实力分布、研究热点与发展动态。通过文献计量分析发现合成生物学领域近十年来发展迅猛,美国等发达国家占据主动。我国在该领域的论文产出数量可观,但学术影响力有待提高。研究的热点主要集中在基因调控网络构建、基因基因组合成、功能回路设计等方面。     

Microstudies versus big picture accounts?

Microstudies and big picture accounts are often counterposed. This paper investigates the supposed dichotomy between the two historiographical approaches. In particular it investigates how the discussions are reflected in the historiography of molecular biology and the special questions posed by the disciplinary context. Taking inspiration from the microhistory tradition as exemplified by the works of Carlo Ginzburg, Jacques Revel, and David Sabean among others, the paper highlights the heuristic value of microstudies to reconstruct the multiple contexts that link apparently small events with broader structures. In a parallel fashion, the paper argues for using microstudies to open up the history of molecular biology to other fields of study and thus moving beyond the confines of the disciplinary framework. Such an approach does not dismiss the search for big pictures. Yet rather than opposing big pictures to microstudies, it sees microstudies as a valid way to gain new and broad vistas.     

Interactive learning and action: realizing the promise of synthetic biology for global health

The emerging field of synthetic biology has the potential to improve global health. For example, synthetic biology could contribute to efforts at vaccine development in a context in which vaccines and immunization have been identified by the international community as being crucial to international development efforts and, in particular, the millennium development goals. However, past experience with innovations shows that realizing a technology’s potential can be difficult and complex. To achieve better societal embedding of synthetic biology and to make sure it reaches its potential, science and technology development should be made more inclusive and interactive. Responsible research and innovation is based on the premise that a broad range of stakeholders with different views, needs and ideas should have a voice in the technological development and deployment process. The interactive learning and action (ILA) approach has been developed as a methodology to bring societal stakeholders into a science and technology development process. This paper proposes an ILA in five phases for an international effort, with national case studies, to develop socially robust applications of synthetic biology for global health, based on the example of vaccine development. The design is based on results of a recently initiated ILA project on synthetic biology; results from other interactive initiatives described in the literature; and examples of possible applications of synthetic biology for global health that are currently being developed.     

Opportunities for yeast metabolic engineering: Lessons from synthetic biology

Constant progress in genetic engineering has given rise to a number of promising areas of research that facilitated the expansion of industrial biotechnology. The field of metabolic engineering, which utilizes genetic tools to manipulate microbial metabolism to enhance the production of compounds of interest, has had a particularly strong impact by providing new platforms for chemical production. Recent developments in synthetic biology promise to expand the metabolic engineering toolbox further by creating novel biological components for pathway design. The present review addresses some of the recent advances in synthetic biology and how these have the potential to affect metabolic engineering in the yeast Saccharomyces cerevisiae. While S. cerevisiae for years has been a robust industrial organism and the target of multiple metabolic engineering trials, its potential for synthetic biology has remained relatively unexplored and further research in this field could strongly contribute to industrial biotechnology. This review also addresses are general considerations for pathway design, ranging from individual components to regulatory systems, overall pathway considerations and whole-organism engineering, with an emphasis on potential contributions of synthetic biology to these areas. Some examples of applications for yeast synthetic biology and metabolic engineering are also discussed.     

Chemical aspects of synthetic biology

Synthetic biology as a broad and novel field has also a chemical branch: whereas synthetic biology generally has to do with bioengineering of new forms of life (generally bacteria) which do not exist in nature, 'chemical synthetic biology' is concerned with the synthesis of chemical structures such as proteins, nucleic acids, vesicular forms, and other which do not exist in nature. Three examples of this 'chemical synthetic biology' approach are given in this article. The first example deals with the synthesis of proteins that do not exist in nature, and dubbed as 'the never born proteins' (NBPs). This research is related to the question why and how the protein structures existing in our world have been selected out, with the underlying question whether they have something very particular from the structural or thermodynamic point of view (for example, the folding). The NBPs are produced in the laboratory by the modern molecular biology technique, the phage display, so as to produce a very large library of proteins having no homology with known proteins. The second example of chemical synthetic biology has also to do with the laboratory synthesis of proteins, but, this time, adopting a prebiotic synthetic procedure, the fragment condensation of short peptides, where short means that they have a length that can be obtained by prebiotic methods; for example, from the condensation of N-carboxy anhydrides. The scheme is illustrated and discussed, being based on the fragment condensation catalyzed by peptides endowed with proteolitic activity. Selection during chain growth is determined by solubility under the contingent environmental conditions, i.e., the peptides which result insoluble are eliminated from further growth. The scheme is tested preliminarily with a synthetic chemical fragment-condensation method and brings to the synthesis of a 44-residues-long protein, which has no homology with known proteins, and which has a stable tertiary folding. Finally, the third example, dubbed as 'the minimal cell project'. Here, the aim is to synthesize a cell model having the minimal and sufficient number of components to be defined as living. For this purpose, liposomes are used as shell membranes, and attempts are made to introduce in the interior a minimal genome. Several groups all around the world are active in this field, and significant results have been obtained, which are reviewed in this article. For example, protein expression has been obtained inside liposomes, generally with the green fluorescent protein, GFP. Our last attempts are with a minimal genome consisting of 37 enzymes, a set which is able to express proteins using the ribosomal machinery. These minimal cells are not yet capable of self-reproduction, and this and other shortcomings within the project are critically reviewed.     

合成生物学应用产品开发现状与趋势

目的：从产品开发角度分析全球合成生物学发展现状和趋势。方法：在伍德罗·威尔逊国际学者中心的合成生物学产品和应用清单（synthetic biology products and applications inventory）的数据基础上,对全球合成生物学产品的开发状态、市场应用和发展前景等进行补充检索和分析。结果：至2015年,全球至少已有81家企业（或研究机构）的116种合成生物学产品得到了市场应用开发,主要开发者为美国企业（或研究机构）,产品主要集中于化学和医药领域。结论：合成生物学实现了从生物学分析向生物学合成的范式转移,其产品开发将给一系列的行业带来深刻的变革。     

Aspects of the political economy of development and synthetic biology

What implications might synthetic biology’s potential as a wholly new method of production have for the world economy, particularly developing countries? Theories of political economy predict that synthetic biology can shift terms of trade and displace producers in developing countries. Governments, however, retain the ability to mitigate negative changes through social safety nets and to foster adaptation to some changes through research, education and investment. We consider the effects the synthetic production of otherwise naturally derived molecules are likely to have on trade and investment, particularly in developing countries. Both rubber in Malaysia and indigo dyes in India provide historical examples of natural molecules that faced market dislocations from synthetic competitors. Natural rubber was able to maintain significant market share, while natural indigo vanished from world markets. These cases demonstrate the two extremes of the impact synthetic biology might have on naturally derived products. If developing countries can cushion the pain of technological changes by providing producers support as they retool or exit, the harmful effects of synthetic biology can be mitigated while its benefits can still be captured.     

Synthetic Genomics and Synthetic Biology Applications Between Hopes and Concerns

New organisms and biological systems designed to satisfy human needs are among the aims of synthetic genomics and synthetic biology. Synthetic biology seeks to model and construct biological components, functions and organisms that do not exist in nature or to redesign existing biological systems to perform new functions. Synthetic genomics, on the other hand, encompasses technologies for the generation of chemically-synthesized whole genomes or larger parts of genomes, allowing to simultaneously engineer a myriad of changes to the genetic material of organisms. Engineering complex functions or new organisms in synthetic biology are thus progressively becoming dependent on and converging with synthetic genomics. While applications from both areas have been predicted to offer great benefits by making possible new drugs, renewable chemicals or clean energy, they have also given rise to concerns about new safety, environmental and socio-economic risks – stirring an increasingly polarizing debate. Here we intend to provide an overview on recent progress in biomedical and biotechnological applications of synthetic genomics and synthetic biology as well as on arguments and evidence related to their possible benefits, risks and governance implications.     

Synthetic biology and genetic causation

Synthetic biology research is often described in terms of programming cells through the introduction of synthetic genes. Genetic material is seemingly attributed with a high level of causal responsibility. We discuss genetic causation in synthetic biology and distinguish three gene concepts differing in their assumptions of genetic control. We argue that synthetic biology generally employs a difference-making approach to establishing genetic causes, and that this approach does not commit to a specific notion of genetic program or genetic control. Still, we suggest that a strong program concept of genetic material can be used as a successful heuristic in certain areas of synthetic biology. Its application requires control of causal context, and may stand in need of a modular decomposition of the target system. We relate different modularity concepts to the discussion of genetic causation and point to possible advantages of and important limitations to seeking modularity in synthetic biology systems.     

Sequencing enabling design and learning in synthetic biology

The ability to read and quantify nucleic acids such as DNA and RNA using sequencing technologies has revolutionized our understanding of life. With the emergence of synthetic biology, these tools are now being put to work in new ways — enabling de novo biological design. Here, we show how sequencing is supporting the creation of a new wave of biological parts and systems, as well as providing the vast data sets needed for the machine learning of design rules for predictive bioengineering. However, we believe this is only the tip of the iceberg and end by providing an outlook on recent advances that will likely broaden the role of sequencing in synthetic biology and its deployment in real-world environments.