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Journal of Industrial Microbiology & Biotechnology 
April 2010, Volume 37, Issue 4, pp 425–429 | Cite as

Mining of genomic databases to identify novel biodesulfurizing microorganisms



The commercialization of the biocatalytic desulfurization process does not seem to be realistic in the near future because of the low desulfurization rate of the known microorganisms. Hence, the future development will depend on either genetically modifying the currently available bacteria or identifying novel biodesulfurizers. In this study an in silico method to identify new biodesulfurizing microorganisms was adopted. By screening the available genomic databases, 13 novel desulfurizing microorganisms belonging to 12 genera were identified. Several of these could be of immense utility as they have both environment pollutant and industrial waste degrading capability.


Biodesulfurization Genomic databases Fuel Thermophile Mesophile



The authors would like to thank the Petroleum Conservation Research Association, Ministry of Petroleum and Natural Gas, Government of India, for the financial grant to carry out this research work. Rhodococcous erythropolis IGTS8, Thermobifida fusca YX (culture and genomic DNA) and Burkholderoia fungorum LB400 were gifts from Drs. John Kilbane (Gas Technology Institute, Illinois, Des Plaines, IL), David Wilson (Cornell University, New York, NY) and Mary Lidstorm (University of Washington, Seattle, WA), respectively.



© Society for Industrial Microbiology 2010



Bhatia, S. & Sharma, D.K. J Ind Microbiol Biotechnol (2010) 37: 425. https://doi.org/10.1007/s10295-010-0697-6



