- At the intersection of an ageing population, climate change and environmental degradation lies the bioeconomy, increasingly underpinned by advances in synthetic biology.
- Biological innovations have the potential to address 45% of the world's current disease burden and to produce 60% of our physical inputs into the global economy in the next 10-20 years.
- Dr. Jenny Molloy explains what the ideal bioeconomy policy agenda could look like.
The bioeconomy covers all sectors and systems that rely on biological resources (animals, plants, microorganisms, and derived biomass, including organic waste) as well as their functions and principles. It includes and interlinks economic and industrial sectors such as food, health, chemicals, materials, energy and services that use biological resources and processes.
It is anticipated that the world will face increased competition for limited and finite natural resources given a growing population, increasing pressure on our food and health systems, and climate change and associated environmental degradation decimating our primary production systems.
Synthetic biology is an emerging field which applies engineering principles to the design and modification of living systems, thus underpinning and accelerating technological advances with clear potential to provide impact at scale to the global economy. Manufacturers are turning towards this method to efficiently produce high performance, sustainable products.
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A recent McKinsey report anticipates applications from this bio revolution could have a direct global impact of up to $4 trillion per year over the next 10-20 years, enabling production of 60% physical inputs to the global economy, and addressing 45% of the world’s current disease burden. However, for synthetic biology applications to reach their full potential, it’s critical to ensure that access and development of knowledge in this sector, along with the relevant research tools, are distributed in low resource contexts. This can help to avoid the technology being centered solely in advanced, resource rich economies and widening inequalities in the global bioeconomy.
Dr. Jenny Molloy, Senior Research Associate at the Department of Chemical Engineering and Biotechnology, University of Cambridge, studies the role and impact of open approaches to intellectual property for a sustainable and equitable bioeconomy.
Her work focuses on better understanding problems facing researchers accessing biological research tools in low resource contexts, particularly Latin America and Africa. Her team develops innovative technologies for local, distributed manufacturing of enzymes to improve access and build capacity for biological research. The broader aim of her research is to contextualize “open source” approaches to biotechnology within current narratives of innovation and the bioeconomy policy agenda. She is also a member of the World Economic Forum Global Future Council on Synthetic Biology.
We discussed new developments, challenges, and her ideal scenario for the bioeconomy policy agenda for the next 10 years. Here's what she said:
What drew you to explore and work in synthetic biology?
Originally, I worked on advocacy for open data and open science (which fortunately is now much more mainstream within research culture), and then my introduction specifically to bioeconomy policies came when I worked on genetic modification of dengue mosquitoes for my doctorate. This put me right at the intersection of global health, synthetic biology, and the bioeconomy in a field nested in a complex tangle of ethics, regulation, responsible innovation, and public opinion.
At the same time, I was contributing to projects on open science for development and getting more interested in how to make access to science, innovation, and its benefits truly global. Everything started pointing to the imperative of working to ensure that we collectively build a global bioeconomy that is equitable and economically and environmentally sustainable.
What is the most exciting new development in synthetic biology? What global challenge does this address?
I’d say the ability to de novo synthesise DNA at scale and precisely edit it. When I was trying to genetically engineer mosquitoes, constructing DNA modules was laborious and it was really a roll of the dice as to where in the genome that DNA would end up. Having more affordable ways to write as well as read DNA with increased elegance, precision editing of CRISPR has enabled exciting advances to address so many global challenges: from drug discovery to crop improvement.
That is why I find enabling tools and technologies so exciting: they underpin innovation and users will deliver applications that the original developers didn’t dream about. A lot of my work focuses on how to ensure that these developments reach all scientists and not only those in high income countries.
What is most misunderstood about synthetic biology? What do you wish people knew?
I would say the perception and narrative that is strongly embedded in biotechnology at all levels that “open source” means “uncommercialisable”.
Unfortunately, this leads to an unwillingness to creatively explore openness as one possibility within a whole range of Intellectual Property (IP) strategies. I wish people knew to ask, “What impact do I want to achieve in the world and to what extent can protecting or openly sharing this technology get me there?”. Sometimes, you’ll land back on patenting everything because the promise of a monopoly is required to unlock sufficiently risk tolerant investment. That is OK!
However, the answer is likely more nuanced when your goal is also environmental or social impact or where you have a user community that could contribute back significant innovations or for many other reasons. Tesla’s patent pledge in 2014 was likely partially because their success depends on public and private investment in infrastructure like charging stations, so while sharing their technology might allow competitors to get to market faster, that could increase the number of electric cars on the road and the interests of electric car drivers and industry. All this nuance gets missed if you don’t ask the question.
How do you see “open source” approaches to biotechnology and intellectual property play a role in supporting developing countries build capacity and innovation in synthetic biology?
One of the best sources of knowledge in biotechnology is, perhaps somewhat ironically, published patents! Developing and emerging economies have immense freedom to apply this knowledge commercially as very few biotech patents have been filed in the Global South while many more have expired and entered the public domain.
However, there are major challenges to making that knowledge used and useful, including having enough people “skilled in the art” and providing an enabling environment - well equipped labs, reliable supply chains, responsive regulation and funding. Open source approaches play an important role here because beyond open licensing they also encourage collaborative development and sharing of know how, which is essential to overcome barriers to building capacity and innovation.
How is the World Economic Forum bringing data-driven healthcare to life?
The application of “precision medicine” to save and improve lives relies on good-quality, easily-accessible data on everything from our DNA to lifestyle and environmental factors. The opposite to a one-size-fits-all healthcare system, it has vast, untapped potential to transform the treatment and prediction of rare diseases—and disease in general.
But there is no global governance framework for such data and no common data portal. This is a problem that contributes to the premature deaths of hundreds of millions of rare-disease patients worldwide.
The World Economic Forum’s Breaking Barriers to Health Data Governance initiative is focused on creating, testing and growing a framework to support effective and responsible access – across borders – to sensitive health data for the treatment and diagnosis of rare diseases.
The data will be shared via a “federated data system”: a decentralized approach that allows different institutions to access each other’s data without that data ever leaving the organization it originated from. This is done via an application programming interface and strikes a balance between simply pooling data (posing security concerns) and limiting access completely.
The project is a collaboration between entities in the UK (Genomics England), Australia (Australian Genomics Health Alliance), Canada (Genomics4RD), and the US (Intermountain Healthcare).
Would you have any examples of scenarios where this has had a direct impact on scientific progress?
For example, basic laboratory equipment like incubators are typically no longer protected by IP but you will rarely find full assembly and repair instructions online: open hardware projects provide this and bring together communities of developers and manufacturers to enable local manufacturing. Access to enzymes is an almost ubiquitous challenge in the Global South and while many useful enzymes are now in the public domain, it can be time consuming to find the DNA and protocols to express them.
Open toolkits like the Research in Diagnostics DNA Collection designed by my lab and many collaborators and distributed through the Free Genes project at Stanford provides a “ready to go” solution that with the correct manufacturing practices, quality management systems and regulatory approvals could also be used for diagnostics kits. Local manufacturing of molecular diagnostics is a possibility we are exploring with collaborators in Cameroon and Ghana, for example through the AfriDx project funded by EDCTP.
A great example of an open project that has already had a direct impact on scientific progress is the Structural Genomics Consortium, a public-private-partnership which has openly released data, materials and research tools for drug discovery against medically relevant human protein structures to academia and industry for around 20 years, resulting in thousands of collaborations and scientific papers and over 1500 protein structures entering the public domain. The leaders of the consortium continue to push the model further, for example launching pharma companies that aim to apply an open approach to drug discovery for rare childhood cancers.
What would be your ideal scenario for the global bioeconomy policy agenda for the next 10 years?
Realizing that the current system of how we fund, reward, publish and disseminate science and how we balance public and private interests in technology is quite recent and could be changed.
My ideal scenario is that the global bioeconomy policy agenda is truly global, so that over the next 10 years countries in the Global South, that host so much of the biodiversity that is fuelling the bioeconomy, are able to shape that agenda, to level up innovation capacities, and to benefit from the bioeconomy on their own terms.
My advice to global leaders and policymakers is to ensure that all countries get a seat at the table and focus on building out more than local or regional policies but also systems for international governance that can adapt to the extraordinary pace of technical and social change in the bioeconomy.
The Global Future Council on Synthetic Biology has focused a lot of our attention on how to embed the values of sustainability, equity, humility and solidarity into the future bioeconomy policy agenda, providing a compass rather than a map, because we think this is important to ensure that synthetic biology is being harnessed to create a world in which we want to live.