Isolation, Characterization and Molecular Identification of Bacteria from Commercial Source Using 16s Rrna Sequencing for Domestic waste water Treatment
Priyanka Tomar1, Kantha D Arunachalam2, K.C. Vinuprakash3, Harsh Thakur4
1Priyanka Tomar, M.Tech, Department of Environmental Engineering, Civil Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
2Kantha D Arunachalam, Dean Center for Environmental Nuclear Research SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
3K.C.Vinuprakash, Assistant Professor, Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
4Harsh Thakur, M.Tech CEM, Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 473-481 | Volume-8 Issue-6, April 2019 | Retrieval Number: E3242038519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This Present Study Focuses on the Isolation, Identification and Analysis of Bacteria from a Commercial source using 16S rRNA sequencing based on molecular techniques. Bacterial strain has been isolated, characterized and identified by various biochemical tests and molecular approaches that have been confirmed. The bacterial 16srRNA gene sequences were amplified and compared by using primers which has been compared to NCBI sequence database. The bacterial strains were identified as ribosomal RNA stain clostridium butyricum 16s , Thiobacillus denitrificans ATCC 25259, Thiobacillus thioparus strain Pankhurst T4 and for these stains the national center for biotechnology information gene bank accession no is M59085.1, accession no CP000116.1 accession no HM173633.1 and the closely phylogenetic tree and molecular advancement analyzed by using 16s rRNA sequencing. The intense identity of all three stains closely related data has been calculated 100%, 99- 100% and 99-100% and E- value for all the three was 0 by using BLAST after submitting to the national center for biotechnology information gene bank.
Keyword: 16s rRNA Sequencing, Blast, NCBI Sequence Database, Phylogenic Tree, Molecular Techniques, Primers, Biochemical Test
Scope of the Article: Residential, Commercial, Industrial and Public Works