Synthetic biology is an astonishing field. Its scientific ambition is breathtaking. According to the Global Network of Science Academies, it involves no less than ‘the deliberate design and construction of customized biological and biochemical systems to perform new or improved functions’. Synthetic biologists hope to create a new industry by treating DNA as if it was computer software. Writing in Nature, Daniel Gibson observed ‘A biological cell is much like a computer – the genome can be thought of as the software that encodes the cell’s instructions, and the cellular machinery as the hardware that interprets and runs the software’. Scientists can act as biological ‘software engineers’, programming new biological ‘operating systems’ into cells. That is quite an ambition.
Synthetic biology has significant implications for conservation, from the speculative world of de-extinction (whether the cloning of mammoth or the summer blockbuster of Jurassic World) to the idea of fighting wildlife disease (such as white-nose disease in wild bats or chytridiomycosis in amphibians), or addressing human impacts on land and ocean. It has the potential to transform the production of food, fibre and oils, the flows of materials through the urban-industrial system, and human ecological interactions. It is likely to be a seriously disruptive innovation in many fields, from medicine or agriculture to energy supply.
In a world of Promethean environmentalism, synthetic biology offers perhaps the perfect combination of possibility and risk. On the one hand it offers solutions to global sustainability challenges in food, water and energy. On the other hand, it channels environmentalist fears about the scope of corporate control of genetic knowledge and the development, patenting and release of novel organisms.
But synthetic biology is not just another technology. It has profound implications for relations between humanity and non-human nature. As Neil Smith observes, it extends human artifice – and corporate interests – right down to the level of the genome. So a key question is, how should we think about it?
Thinking like a human 