COMBINATION OF CONVENTIONAL AND IN-SILICO APPROACH FOR IDENTIFYING AN INDUSTRIALLY IMPORTANT ISOLATE OF AEROMONAS
| Autor: | Amrita Saha, Thungri Ghoshal, Nabanita Haldar, Shaon Ray Chaudhuri, Sourav Ghosh, Ashoke Ranjan Thakur |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Strain (chemistry)
business.industry In silico Biology biology.organism_classification Pulp and paper industry Genome General Biochemistry Genetics and Molecular Biology Biotechnology Ammonia production Aeromonas hydrophila Aeromonas By-product General Agricultural and Biological Sciences business Effluent |
| Zdroj: | OnLine Journal of Biological Sciences. 14:70-83 |
| ISSN: | 1608-4217 |
| DOI: | 10.3844/ojbsci.2014.70.83 |
| Popis: | Ammonia is required for various commercial applications while its production by standard process is im mensely energy intense. Dairy industry on the other hand pr oduces huge volume of effluent needing treatment before discharge. This study aims at developing an eco-fri endly microbial approach for conversion of dairy in dustry effluent into ammonia under atmospheric pressure and 37°C temperature at laboratory scale. Thus the ne ed for huge energy for ammonia production would be avoided. Moreover the dairy effluent would generate revenue while getting treated. This study is also an attemp t to develop a bioinformatics approach for strain i dentification. Standard cultivation techniques and in-silico appro ach of analysis of draft genome was undertaken to d ecipher the identity of this industrially important strain. Aeromonas sp. MCC 2167 (isolated from active dairy sludge) was capable of treating un-amended dairy effluent with 6% inoculum while producing ammonia as by product at a 11 folds higher rate than the modified Habers Process. Though the strain showed maximum identity with Aeromonas hydrophila , there were certain differences in terms of substr ate utilization. Majority of the contigs showed ide ntity with Aeromonas hydrophila , however there was significant difference among th e two strains in terms of intergenomic distance (genome to genome distance calculator from DSMZ), inversion and frame shift (dot plot analysis) as well as genome rearrangement (MAUVE analysis). As per the rapid annotation using subsyste m technology analysis 53% of the contigs belong to th e subsystem category while the remaining 47% do not match with existing sequences in the database. The above finding proposes bioinformatics validation of the w etlab based data pointing towards this industrially important s train to be a novel isolate of Aeromonas sp. This would lead to an energy efficient economically viable alternative for ammonia production while treating large bulk o f effluent generated from dairy industry that needs to be trea ted before being discharged. |
| Databáze: | OpenAIRE |
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