The Synthetic Biology Open Language (SBOL) can be used to represent genetic designs through a standardized vocabulary of schematic glyphs (SBOL Visual) as well as a standardized digital format (the SBOL data model). If you are already a member of our Developer’s Group and are searching for detailed technical information about SBOL, you will find it in the menus above. If you are simply curious, browse our tutorials on the homepage.
Synthetic biology is a new frontier in biological research where scientists and engineers are creating living systems out of molecular chemistry. In the last half century, the fundamental biochemical pieces and processes that comprise the phenomena of life have been isolated and studied by scientists in the laboratory. This reductionist approach to molecular biology has yielded enormous insight into the basic molecular units that govern life, such as genes encoded on DNA. Today, a new approach, a synthetic biology, is possible in which basic units of biochemistry are re-assembled into new living systems, using platform technologies such as DNA synthesis, genome engineering, simulation tools, and computer-aided-design. In the future, important technologies like solar energy, biofuels, and medicines may be synthesized out of “wetware”.
The SBOL standard empowers and enables a design-oriented, forward-engineering approach for synthetic biology in the following ways:
• Facilitates storage of genetic designs in repositories
• Helps synthetic biologists and genetic engineers electronically exchange designs with each other and with biofabrication centers
• Supports development of Genetic Design Automation (GDA) software tools for synthetic biologists
• Represents hierarchically assembled genetic compositions
• Represents abstract genetic compositions without an explicit nucleotide sequence
• Allows expression of genetic designs in publications and thus aids scientific reproducibility.
Components of molecular DNA originate from samples found in nature or they can be synthesized from raw chemical ingredients using DNA synthesis technology. Once an interesting piece of DNA has been isolated and studied in the lab, it is usually saved as a physical sample. Often, another inquisitive researcher will be interested in combining this DNA component with others to study it in a different context or produce a new and useful biological function. Similar to how software programmers share and re-use each other’s code, this sharing process is essential to synthetic biology. Biological parts repositories serve as a common resource where synthetic biologist can go to obtain physical samples of DNA associated with important data about those samples. The Synthetic Biology Open Language was invented to help make management and sharing of biological parts easy and efficient.
Examples of Biological Parts Repositories:
With the emergence of large-scale DNA sequencing technology in the last few decades, there has also emerged a need to manage vast amounts of sequence data. For researchers in the biological sciences, the public GenBank database, data standard, and file format has become a familiar friend. However, there are several reasons why the GenBank standard is insufficient for satisfying the needs of synthetic biologists. While the GenBank standard is used to primarily describe sequences that correspond to an existing DNA sample, the SBOL standard promotes forward-engineering of novel sequences. In other words, SBOL makes it easy to assemble novel sequences from DNA components using computer-aided design and genetic design automation.
Current support for the development of the SBOL standard is provided by the NSF through Collaborative awards #1355909 and #1356401 and EPSRC grant #EP/J02175X/1. Other sponsorship, support, or endorsements have been provided by the following federal agencies, federal research centers, commercial enterprises, and academic institutions. Please be aware that this list may not be complete, since the number of SBOL supporters is growing rapidly. If your institution supports SBOL, and it is not listed here, please email the SBOL editors.
Turing Ate My Hamster LTD
BU Crossdisciplinary Integration of Design Automation Research (CIDAR)
Imperial College Centre for Synthetic Biology and Innovation (CSynBI)
Newcastle University Center for Synthetic Biology