scholarly journals ISOLATION, PURIFICATION, AND CHARACTERIZATION OF LIPASE FROM BACILLUS SP. FROM KITCHEN GREASE

2018 ◽  
Vol 11 (6) ◽  
pp. 224
Author(s):  
Jaiganesh R ◽  
Jaganathan Mk
Keyword(s):  
16S Rdna ◽  
Solvent Tolerance ◽  
16S Rdna Sequencing ◽  
Bacillus Sp ◽  
Purification And Characterization ◽  
Lipase Enzyme ◽  
Sequencing Method ◽  
Rdna Sequencing ◽  
Solvent Tolerant

Objective: The objective of this work was to isolation, purification and characterization of solvent tolerant lipase from Bacillus sp. The objective of this work was to isolation, purification and characterization of solvent tolerant lipase from Bacillus sp. from kitchen grease for a variety of applications including organic synthetic reactions and preparation of enantiomerically pure pharmaceuticals.Methods: Lipase producing isolates were screened from kitchen grease on a selective medium rhodamine B olive oil agar, and tributyrin agar was used to screen the lipase and esterase producing an organism, respectively. The isolate identified using 16S rDNA sequencing method and enzyme activity was quantitatively assayed. Lipase production was characterized in different conditions.Results: The isolate showed highest lipase activity was which later was identified as Bacillus sp. using 16S rDNA sequencing method. The lipase was purified using ammonium sulfate precipitation. The isolate showed excellent tolerance to methanol, ethanol, acetonitrile, and moderate tolerance to butanol. The increased biomass concentration, maximum production, and activity were achieved at 37°C in 24 h incubation, then gradual reduction in production was observed. The maximum activity of lipase enzyme was obtained at pH between 6 and 9.Conclusion: The isolate produce solvent tolerance lipase enzyme and it can be a promising candidate of solvent tolerance lipase enzyme for variety of industrial applications.

Characterization of Viable Bacteria from Siberian Permafrost by 16S rDNA Sequencing

1997 ◽  
Vol 33 (3) ◽  
pp. 169-179 ◽  
Author(s):  
T. Shi ◽  
R. H. Reeves ◽  
D. A. Gilichinsky ◽  
E. I. Friedmann
Keyword(s):  
16S Rdna ◽  
16S Rdna Sequencing ◽  
Rdna Sequencing ◽  
Viable Bacteria ◽  
Siberian Permafrost

scholarly journals Characterization of some naphthalene using bacteria isolated from contaminated Cooum Riverine sediment of the Bay of Bengal (India)

2019 ◽  
Vol 84 (2) ◽  
pp. 225-236
Author(s):  
Sancho Rajan ◽  
Anwesha Pattanaik ◽  
Venkatesh Kumaresan ◽  
Prasanth Bhatt ◽  
Senthilarasu Gunasekaran ◽  
...  
Keyword(s):  
16S Rdna ◽  
Bay Of Bengal ◽  
Morphological Characteristics ◽  
Sole Source ◽  
Pseudomonas Sp ◽  
16S Rdna Sequencing ◽  
Naphthalene Degradation ◽  
Rdna Sequencing ◽  
Riverine Sediment

Microorganisms capable of using naphthalene as the sole carbon source were isolated from the contaminated sediment of Cooum River. Twenty one isolates were recovered and nine were selected for enrichment due to differences in their morphological characteristics. Out of nine isolates, only four (NS3-SRMND14B, NS14-SRMND14A, NS15-SRMND14D and NS19- -SRMND14E) were capable of completely utilizing naphthalene as the sole source of carbon in carbon free minimal medium (CFMM) supplemented with naphthalene. 16S rDNA sequencing showed that all the four isolates were distantly related to each other and belongs to Bacillus sp. (NS3-SRMND14B), Pseudomonas sp. (NS14-SRMND14A), Cellulosimicrobium sp. (NS15-SRMND14D) and Sphingobacterium sp. (NS19-SRMND14E), respectively. Based on the phylogenetic analysis of 16S rDNA sequencing, the isolate Sphingobacterium sp. (NS19-SRMND14E) has been identified as novel strain. Polymerase chain reaction (PCR) technique showed the presence of naphthalene dioxygenase (ndo) gene responsible for naphthalene degradation only in the Pseudomonas sp. (NS14-SRMND14A). We observed that the ndo gene is not the only gene responsible for naphthalene degradation. Based on our study, the indigenous microorganisms isolated from Cooum Riverine sediment can be used for bioremediation of the polluted sediment along the Bay of Bengal.

scholarly journals The efficacy of 16S ribosomal DNA sequencing in the diagnosis of bacteria from blood, bone and synovial fluid samples of children with musculoskeletal infections

2018 ◽  
Vol 12 (2) ◽  
pp. 204-208
Author(s):  
S. Hashavya ◽  
I. Gross ◽  
A. Michael-Gayego ◽  
N. Simanovsky ◽  
R. Lamdan
Keyword(s):  
Synovial Fluid ◽  
16S Rdna ◽  
Ribosomal Dna ◽  
16S Rdna Sequencing ◽  
Bacterial Detection ◽  
Musculoskeletal Infection ◽  
Blood Samples ◽  
16S Ribosomal Dna ◽  
Sequencing Method ◽  
Rdna Sequencing

Background Musculoskeletal infections are among the most common bacterial infections in children leading to hospitalization, invasive procedures and prolonged antibiotic administration. Blood, synovial and sometimes tissue cultures are essential for the diagnosis and treatment of musculoskeletal infections; 16S ribosomal DNA (rDNA) sequencing is a novel diagnostic tool for the detection of bacteria. While the yield of 16S rDNA sequencing in synovial fluid was previously assessed, data regarding the efficacy of this method from blood samples or partially treated children with suspected musculoskeletal infections is lacking. In this study we assessed the yield of 16S rDNA sequencing in blood, bone and synovial samples of children with musculoskeletal infections. Methods Blood, synovial and bone samples were collected from children with suspected musculoskeletal infections and analyzed for the presence of 16S rDNA, the results were then compared with the benchmark microbial cultures. Results During the study period, 41 children (18 boys and 23 girls) with suspected acute musculoskeletal infection were enrolled. A positive blood culture was found in 6/31 cases (19.4%) with methicillin-susceptible Staphylococcus aureus being the most commonly isolated bacterium. No significant 16S rDNA detection in blood samples was recorded. Synovial fluid culture was positive in 6/28 samples (21%), Kingella kingae being the most common pathogen. When using the 16S rDNA sequencing method, the rate of positive results in synovial fluid was higher with bacterial detection in 12/23 (52%) samples. The 16S rDNA sequencing method was also able to identify pathogens in samples taken from partially treated children where cultures were negative with 16S rDNA detection in 5/5 samples. Conclusion Although 16S rDNA sequencing may increase the yield of bacterial detection in synovial samples of patients with musculoskeletal infections, there is no benefit from applying this method on blood samples. The 16S rDNA sequencing method may be particularly beneficial when antibiotic treatment was started prior to synovial fluid sampling. Level of Evidence Level-II diagnostic study

Metabolite fingerprinting of novel Streptomyces UK-238 from the Himalayan forest

2020 ◽  
Vol 16 ◽  
Author(s):  
Nidhi Srivastava ◽  
Indira P. Sarethy
Keyword(s):  
Ethyl Acetate ◽  
16S Rdna ◽  
Retention Index ◽  
Ethyl Acetate Extract ◽  
Similarity Index ◽  
Antimicrobial Drug ◽  
16S Rdna Sequencing ◽  
Metabolite Fingerprinting ◽  
Streptomyces Sp ◽  
Rdna Sequencing

Aims: Characterization of antimicrobial metabolites of novel Streptomyces sp. UK-238. Background: Novel antimicrobial drug discovery is urgently needed due to emerging multi antimicrobial drug resistance among pathogens. Since many years, natural products have provided the basic skeletons for many therapeutic compounds including antibiotics. Bioprospection of un/under explored habitats and focussing on selective isolation of actinobacteria as major reservoir of bio and chemodiversity has yielded good results. Objective: The main objectives of the study were the identification of UK-238 by 16S rDNA sequencing and antimicrobial metabolite fingerprinting of culture extracts. Method: In the present study, a promising isolate, UK-238, has been screened for antimicrobial activity and metabolite fingerprinting from the Himalayan Thano Reserve forest. It was identified by 16S rDNA sequencing. Ethyl acetate extract was partially purified by column chromatography. The pooled active fractions were fingerprinted by GC-MS and compounds were tentatively identified by collated data analysis based on Similarity Index, observed Retention Index from Databases and calculated Retention Index. Results: UK-238 was identified as Streptomyces sp. with 98.4% similarity to S. niveiscabiei. It exhibited broad-spectrum antibacterial and antifungal activity. GC-MS analysis of active fractions of ethyl acetate extract showed the presence of eighteen novel antimicrobial compounds belonging to four major categories- alcohols, alkaloid, esters and peptide. Conclusion: The study confirms that bioprospection of underexplored habitats can elaborate novel bio and chemodiversity.

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