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.
Bhatia
Sumedha
S
Center for Energy Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
Sharma
Durlubh K
DK
D001419:Bacteria / Q000235:genetics* / Q000378:metabolism; D057225:Data Mining; D023281:Genomics / Q000379:methods*; D053858:Metabolic Networks and Pathways / Q000235:genetics; D013463:Sulfuric Acid Esters / Q000378:metabolism*; D013876:Thiophenes / Q000378:metabolism
D013463:Sulfuric Acid Esters; D013876:Thiophenes; C016366:dibenzothiophene