Other iGEM entries have included E. coli bacteria that had been engineered to smell like wintergreen while they were growing and dividing and like bananas when they were finished, a biologically engineered detector that would change color when exposed to unhealthy levels of arsenic in drinking water, a method of programming mouse stem cells to "differentiate" into more specialized cells on command, and the mat of picture-taking bacteria I mentioned earlier. 46
No matter how laudable the arsenic detector or the experimental technique dealing with sepsis, or how cool the idea of banana- scented, picture-taking bacteria, this kind of enterprise will cause some of you to shudder. Professor Drew Endy, one of the pioneers in this field, believes that part of that reaction stems from simple novelty. "A lot of people who were scaring folks in 1975 now have Nobel prizes."11 But even if inchoate, the concerns that synthetic biology arouses stem from more than novelty. There is a deep-seated fear that if we see the natural world of biology as merely another system that we can routinely engineer, we will have extended our technocratic methods into a realm that was only intermittently subject to them in a way that threatens both our structure of self-understanding and our ecosystem. 47
To this, the synthetic biologists respond that we are already engineering nature. In their view, planned, structured, and rationalized genetic engineering poses fewer dangers than poorly understood interventions to produce some specific result in comparative ignorance of the processes we are employing to do so. If the "code" is transparent, subject to review by a peer community, and based on known parts and structures, each identified by a standard genetic "barcode," then the chance of detecting problems and solving them is higher. And while the dangers are real and not to be minimized, the potential benefits—the lives saved because the scarce antimalarial drug can now be manufactured by energetic E. coli or because a cheap test can demonstrate arsenic contamination in a village well—are not to be minimized either. 48
I first became aware of synthetic biology when a number of the scientists working on the Registry of Standard Biological Parts contacted me and my colleague Arti Rai. They did not use these exact words, but their question boiled down to "how does synthetic biology fare in intellectual property's categories, and how can we keep the basics of the science open for all to use?" As you can tell from this book, I find intellectual property fascinating—lamentably so perhaps. Nevertheless, I was depressed by the idea that scientists would have to spend their valuable time trying to work out how to save their discipline from being messed up by the law. Surely it would be better to have them doing, well, science? 49
They have cause for concern. As I mentioned at the beginning of this chapter, synthetic biology shares characteristics of both software and biotechnology. Remember the focus on reducing functions to black boxes. Synthetic biologists are looking for the biological equivalents of switches, valves, and inverters. The more abstractly these are described, the more they come to resemble simple algebraic expressions, replete with "if, then" statements and instructions that resolve to "if x, then y, if not x, then z." 50
If this sounds reminiscent of the discussion of the Turing machine, it should. When the broad rules for software and business methods were enunciated by the federal courts, software was already a developed industry. Even though the rules would have allowed the equivalent of patenting the alphabet, the very maturity of the field minimized the disruption such patents could cause. Of course "prior art" was not always written down. Even when it was recorded, it was sometimes badly handled by the examiners and the courts, partly because they set a very undemanding standard for "ordinary expertise" in the art. Nevertheless, there was still a lot of prior experience and it rendered some of the more basic claims incredible. That is not true in the synthetic biology field. 51
Consider a recent article in Nature, "A universal RNAi-based logic evaluator that operates in mammalian cells."12 The scientists describe their task in terms that should be familiar. "A molecular automaton is an engineered molecular system coupled to a (bio)molecular environment by 'flow of incoming messages and the actions of outgoing messages,' where the incoming messages are processed by an 'intermediate set of elements,' that is, a computer." The article goes on to describe some of the key elements of so-called "Boolean algebra"— "or," "and," "not," and so on—implemented in living mammalian cells. 52
These inscriptions of Boolean algebra in cells and DNA sequences can be patented. The U.S. Department of Health and Human Services, for example, owns patent number 6,774,222: 53
This invention relates to novel molecular constructs that act as various logic elements, i.e., gates and flip-flops. . . . The basic functional unit of the construct comprises a nucleic acid having at least two protein binding sites that cannot be simultaneously occupied by their cognate binding protein. This basic unit can be assembled in any number of formats providing molecular constructs that act like traditional digital logic elements (flips-flops, gates, inverters, etc.). 54
My colleagues Arti Rai and Sapna Kumar have performed a patent search and found many more patents of similar breadth.13 55