- Dona Paula, Goa, India.
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- iiosc2020[at]nio[dot]org
Abstract Submission No. | ABS-2022-09-0161 |
Title of Abstract | Isolation and screening of aromatic hydrocarbon-degrading bacteria from the coastline of Goa |
Authors | Vasudha C. Bhatawadekar*, Ankita V. Salvi, Dr. Samir R. Damare |
Organisation | CSIR-National Institute of Oceanography, Goa |
Address | BOD, CSIR-NIO, Dona Paula, Panaji Panaji, Goa, India Pincode: 403004 Mobile: 8007996747 E-mail: vasudhabhatawadekar@gmail.com |
Country | India |
Presentation | Poster |
Abstract | World energy demand is met primarily through the extraction of fossil fuels in the form of oil, coal, and gas. Tons of hydrocarbons enter the environment due to calamities like the oil spill, tank leakages, and several anthropogenic activities. Hydrocarbon contamination is the worst form of pollution leading to long term consequences severely affecting the environment, ecosystem, human and animal health equally. Bioremediation can be considered as a boon for hydrocarbon degradation. Bacteria play an important role in utilizing aromatic hydrocarbon as a sole carbon source for growth and energy and thereby helping in mitigating its pollution. Marine bacteria have an advantage over terrestrial bacteria as they can grow at extreme environmental conditions. However, the screening of potential aromatic hydrocarbon degraders is laborious and time-consuming. This study focuses on the quick method to screen aromatic hydrocarbon-degrading bacteria. Over one thousand bacteria were isolated from different regions of the Goa coast such as mangrove sediment, water, and sediment from Sal River, Mandovi estuary, beaches, and Mormugao port (MPT). Among the thousand isolates, six hundred bacterial isolates have been screened for their ability to use 0.1% Phenanthrene, benzene, and toluene as a sole carbon source in the minimal salt medium using Folin-Ciocalteu assay. Of the 600 isolates, 30 isolates showed the ability to utilize Phenanthrene, benzene, and toluene as a sole carbon source. These fast-growing and potential isolates identified using 16s rRNA gene sequencing showed affiliation of 75% to Bacilli, 23% to Gammaproteobacteria and the remaining 2% to Actinobacteria. |