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Genome Microbiology for Synthetic Applications

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Synthetic Biology

Abstract

Synthetic biology integrates the knowledge of engineering, mathematics and physics into the biological systems to investigate and get deeper insight into the natural cellular phenomena and thus is implicated for a variety of applications. A key step in synthetic biology is logical combination of simple circuits into higher-order systems which work like a genetic switchboard which is subsequently implicated in building novel biological entities on an ever more complex level for novel application. In recent years, the field has emerged extensively and constructed many complex circuits which find its use in several fields ranging from simple laboratory experiments to clinic. Most important application of synthetic biology is the development of novel and efficient therapies for the treatment of a large number of life-threatening infectious diseases, development of vaccine, cell therapy, regenerative medicine and microbiome engineering. This chapter is aimed at providing a brief description on different applications of synthetic biology.

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Acknowledgments

The authors sincerely acknowledge the Indian Council of Medical Research, Council for Scientific Industrial Research, University Grants Commission, and Department of Science and Technology (India) for financial support.

Conflict of Interest

The authors declare no conflict of interest.

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Authors and Affiliations

  1. Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India

    Taj Mohammad & Md. Imtaiyaz Hassan

Authors
  1. Taj Mohammad
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  2. Md. Imtaiyaz Hassan
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Corresponding author

Correspondence to Md. Imtaiyaz Hassan .

Editor information

Editors and Affiliations

  1. Department of Pathogenesis and Cellular Response, National Centre for Cell Science, Computational and Systems Biology Lab, Pune, Maharashtra, India

    Shailza Singh

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Mohammad, T., Hassan, M.I. (2018). Genome Microbiology for Synthetic Applications. In: Singh, S. (eds) Synthetic Biology. Springer, Singapore. https://doi.org/10.1007/978-981-10-8693-9_5

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