The following philosophical reflexion originates from our observation that there is an important contrast between what synthetic biologists ambition to do — a rational, rigorous design with controlled and predicted results — and how they actually realize their biological systems — by trial and error, and tinkering. This method is not specific to synthetic biology, but is more visible and surprising in this field because many synthetic biologists precisely claim that synthetic biology is the engineering of biology.

Though every part of the Registry is supposed to be well characterized and modular, and though the transformation protocols look rigorous and rational, we often didn't obtain the expected result when we assembled the parts into our biological system. Of course, the reason could have been that we made mistakes in our experimentations; but though we acknowledge our fallibility, we believe that in fact this problem is shared by all synthetic biologists : biological systems often don't behave according to our expectations and models.

In order to have better results, we often used a method that was not the most rational nor elegant one, but which allowed us to solve or bypass the unpredictability of biological behaviors. And as we discovered by reading the literature, this method is thought to be very common amongst synthetic biologists by some authors, who called it "kludge".

Even though it wasn't directly linked to our Sponge Patrol project, we decided to have this reflexion on the contrast between the ambitions and the actual practice of synthetic biology, because we believe that it is very important for those who want to be part of this new scientific field to step back from the lab and the computers for a moment, and to take a critical look at this field.

Though scientists have many different definitions for what is synthetic biology, a recurrent element of these definitions is the analogy with engineering. This comparison is supported by the idea that synthetic biology allows to build standardized parts of living systems, whose functions and properties are know ; and that those parts can be assembled together in any system thanks to a rational and modular protocol. Synthetic biologists should also be able to make a model of the constructed organism and to predict its behavior. Eventually, building new living systems should become as easy for synthetic biologists as assembling non-biological parts in a machine is easy to engineers.

However, living organisms are exceedingly complex, and at first sight it looks impossible to fully understand them ; and if we don't, how could we possibly have enough control over them to force them to behave like mechanical, predictable machines? This question is important, because it is precisely what we are trying to do in iGEM: to design and build a "Genetically Engineered Machine". We are, like most synthetic biologists, assuming (or at least hoping) that living systems can be designed to act in a calculated and useful way, like the machines of engineers do. However, in truth it is obviously not so. Everyday during our iGEM experience, we discovered how unpredictable living systems can be - and even though we sometimes managed to have the result we expected, the protocols to achieve such a result were hardly as rational as engineers protocols. In biology, we never fully understand the living systems we are working on, and as a consequence, the design process of our genetically engineered machine is more often a trial-and-error process than a fail-proof one.

This observation has led us to wonder about the importance of kludging and tinkering in synthetic biology. The word "kludge" stands for "klumsy, lame, ugly, dumb but good enough", and seems to describe quite accurately what we are actually doing in synthetic biology, when we use inelegant but successful solutions to solve a problem when the rational design doesn't bear the expected results. In fact, we were led to notice that this not-always rational, but very efficient way of doing research is common in many scientific fields; but we thought that it was even more significant in synthetic biology, because the researchers of this field are precisely claiming that their design is rational and systematic. The contrast between what synthetic biology want to do and what they are actually doing is, as a result, even more apparent.

Thus, as we are synthetic biologists ourselves and are confronted everyday to the actual practice of the field in the lab, we thought that it was very important to take a step back and have an objective and reflexive look at design in synthetic biology. The questions we want to address in the following reflexion are the following:
- How can synthetic biologists pretend to achieve rational and predictable design of living systems?
- Is design in synthetic biology rational, of is it the result of kludging?
- Which method should be favored?

In 2006, a European Commission that gathered many experts in synthetic biology offered the following definition of the new field:

We can notice here that synthetic biologists are confident that such designs can be rational and systematic, which means that like the machines or the computer programs of the engineers, the designed synthetic systems must be composed of parts that are fully understood and characterized. Thus the researchers should be able to assemble those parts and obtain the expected result.

Let's take a quick look at the history of synthetic biology to better understand how such an ambition could arise in a field working on living systems, which are intrinsically complex and unpredictable. With the development of systemic biology in the last decades, it has been observed that there is an organized hierarchy in cellular networks, between functional modules. And from there, the idea appeared that some mechanisms in living organisms could be reduced to simple mechanisms such as those built by engineers in machines ; which meant that with the proper tools, we could modify and design cells in a rational way to obtain a predefined result. Then in 2004, the first international conference on synthetic biology, SB 1.0, organized by the MIT, brought together researchers specialized in fields as varied as biology, chemistry, physics, engineering and informatics. It is probably during this interdisciplinary meeting that the ambition to use the engineers' rational bottom-up approach in molecular biology and genetics took shape.

In order to achieve a rational design of living systems, the priority was first given to the characterization of their functional parts, which is the main goal of the iGEM competition. These researchers had the intuition that it would then become possible to assemble these parts in different ways, that don't necessarily exist in nature, using rational and systematic protocols ; and to construct biological devices that would act exactly as they were intended to.

Nowadays, we are able to build or synthesize several components of a simple cell, like the lipid bilayer or several enzymes. But the the element we use the most in synthetic biology, and in particular in iGEM, is the DNA (or the RNA). The reason for that is evident: most of the properties of living beings are encoded in their genome, so it is by modifying the genomes that we can effectively build organisms with new functions. But the ambition of synthetic biology is not just to synthesize existing genomes, nor even to just modify them ; its ambition is to fully characterize and standardize some genome sequences that code for a specific function. That is why at iGEM, we try to design plasmids called Biobricks, that contain a part which function is known, as well as specific sequences that allow the part to be cut and moved from the plasmid with simple protocols.

The genes we design in synthetic biology are often simplified compared to the average complexity of genes in living systems. Only four main elements are taken into account, because most of the time they are enough to express a gene in an organism: a promotor, a ribosome-binding sequence, a coding sequence and a terminator. And this choice also makes the designed constructions modular, which is a very important property in synthetic biology. A modular promotor for example is a promotor that can be moved from one gene to another, and keep the same properties in both constructions. Each gene can in fact be cut into small modular pieces ; or can be build out of small pieces of DNA - usually in plasmids, that are also modular and can replicate independently of the host genome, whatever the host species.

The sequences of all the Biobricks are stored in the Registry of Standard biological parts, and everyone can have access to them. This Registry is meant to be a catalogue of parts of the living machines: people can pick the parts they need, buy them, and then assemble them in a simple and rational way to build the devices of their choice - just like engineers can buy electronic components from catalogues and then assemble them to build machines.

The other main reason that is supposed to make design in synthetic biology rational and predictable, is the use of the engineers' methodology for the design and construction of biological devices: conception and modeling, construction, implementation and validation. In the first step, synthetic biologists use mathematics and informatics tools to make a model of the system and simulate its behavior in silico. The parts of the system are then build or synthesized, before being implemented into a machine or a living organism. The researchers then test whether the constructed biological system behave as predicted — and if it doesn't, they change the model and try again. By using this method, synthetic biologists hope to bring more rigor to the field.

But not all synthetic biologists admit that the field is – or should be – as rational and predictable as it ambitions to be. The behavior of biological systems are so complex, so variable, that it rather seems impossible ; and during our iGEM experience, we found many times that even with standardized parts and rigorous protocols, the biological systems often don't behave as expected. To overcome this, we often had to change our protocols in ways that we couldn't really explain, except by saying "it works better". And we do not think that this is specific to our team, nor to the iGEM competition. We believe that the whole field of synthetic biology as it is now truly cannot be compared to engineering in terms of rational and predictable design.

Transition!!!

In truth, synthetic biology is rarely as rational as it claims to be. The attempts to control biological systems continuously clash with the unpredictable behavior of living organisms. In the iGEM competition for example, we very often discover that a part from the Registry doesn't have the expected function when added to our biological device: its expression change depending on the chassis in which it is introduced, on its interaction with other components present in the cell, and on the media in which the cell grows. The problem with the so-called modular parts of the Registry is that it is always characterized in particular conditions; but its behavior can never be exactly the same in different conditions. In biological systems, the slightest modification of the environment can result in considerable changes in genetic expression. This is why the uniformity and exact reproducibility of a function coded by a genetic part in several conditions are still out of reach - and may be forever impossible - even if the part was correctly characterized in particular conditions.

When we work with the parts of the Registry, we must also face the fact that many parts have not been well characterized. Out of the 5000 parts that we can buy from the Registry, only about 2000 have been verified by researchers others than those who have built them. Since an important number of the parts of the Registry have been designed by students, who only had a limited time to build and characterize them for the iGEM competition, many of these parts are ill-assembled or do not have the function described on the Registry.

Moreover, even if the function of several parts is well-known, they may not behave as expected when we assemble them together in the same plasmid or in the same organism. Unpredicted emergent properties can arise in such systems. In 2005, Church claimed that by combining biological parts together, we would be able to overcome the indeterminate and non modular aspect of living organisms, and to build biological systems with steady behaviors. But now, more and more biologists agree that if we combine together several well characterized parts, the new system may not only have the addition of the functions of each part: new properties and unpredicted behaviors can very well arise. Which is an obstacle to rational design. The more complex the system, the more likely it is that the obtained result will differ from the expected one. As a result, synthetic biology is more often a long process of trial and errors, than a rational and functional design.

As design often leads to unexpected results, it's in fact a more pragmatic approach that is often taken by synthetic biologists, especially at iGEM where we have to deal with the necessity to produce results in a very short amount of time: the method with the best results is a posteriori chosen over the method that looked a priori more rational. For Oliver Müller, the scientific design is often idealized by biologists, who claim to know exactly how to obtain a certain result, when in fact biological systems are very complex and beyond their control. The uncertainty and the unexpected, in experimental design, are often left untold in synthetic biology as well as in other scientific fields. The reason is that scientists need to frequently publish and show positive results. Negative results, in most cases, are not published. Moreover, research in biology is a competitive field, where scientists are often tempted to show that their results are the outcome of a rational, well-planned design, even when the results were not those predicted at all. In fact, we think that in iGEM for example, students often change their initial objectives when they present their project, to make them match the results they actually got ; this way, it looks like the project worked just as planned, when in fact it is the result of unexpected results and tinkering.

For those reasons, O'Malley and other authors have portrayed design in synthetic biology as a pragmatic tinkering, where researchers use parts without knowing if they will assemble correctly, nor what will be the final result. If in theory the synthetic biologist should be able to understand and explain each step of the design and the behavior of the system, in fact the priority is given to results and not to rational design, in order to be able to publish, or to have more funds, or in our case to win the iGEM competition. This method has been called "kludge" by those authors, which is a term that comes from computer science:

Synthetic biologists are often tempted to use kludges, because they work where rational design fail for unexplainable reasons. For example, if they observe that it's easier to transform a bacteria by electroporation than by conjugation, they will chose to use the former, even if their knowledge led them to believe that conjugation was more likely to work. If they notice that two parts put together give an unpredicted function to an organism and if this function is useful, they will probably continue to combine these two parts to produce the emergent function even if they can't explain why it appears. And if they don't have the result they want while following the rational protocol that should lead to this result, they often try again with different parameters and methods until it works, and then adapt their protocol and model accordingly.

But if synthetic biologists really do behave like this, as depicted by O'Malley in "Making knowledge in synthetic biology. Designs meets kludge" (2009), then it would mean that they are doing the exact opposite of what they ambition and claim to do. Instead of a rational assembly of well defined and modular parts, synthetic biology would be made of kludgy designs.

Does that mean that this method is wrong? For some authors like Andrianantoandro, Lazebnik and Serrano, who admit that synthetic biology so far has been rather kludgy, the irrational aspect of synthetic biologists' methods and results can be, and has to be overcome. They think it will become possible to achieve rational, engineer-like design in the future, thanks to the increasing standardization of the field. But other authors like O'Malley think on the contrary that not only kludges are unavoidable in biology, but also they are, actually, a better, more efficient method to produce results and knowledge, than the too rigorous method of the engineers.