Screening And Identification Of Bacterial Isolate Producing Arbutin Glycoside And Improving Its Productivity By Mutagenesis

From three sources of Iraqi soil, 30 bacterial isolates were obtained. after performing the primary isolation process, 12 isolates could produce the glycoside arbutin as an indication of the reddish-brown precipitate. When secondary isolation was conducted, it was found that two isolates, A7 and C10, gave the highest production of arbutin as a function of the concentration of the resulting compound, as it reached a concentration of Arbutin 5.3 µg/ml and 8.5 µg/ml, respectively. The diagnosis process was carried out for isolate C10 based on cultural and microscopic characteristics, as the nature of growth on the liquid medium was that it floated on the surface, and the cells formed a thin membrane with each other. Pellice as for the nature of growth on a liquid media, the colonies were spread out and flat, with irregular edges, a cream color, and a wrinkled surface, while the microscopic characteristics of the bacterial isolate were that they were positive for Gram stain and the cells were rod-shaped of medium length. The biochemical tests Vitec 2 results showed that the bacterial isolate belonged to Bacillus subtilis with a probability of 98%. Upon genetic diagnosis at the 16SrRNA level, it was found that the isolate belonged to the genus Bacillus subtilis by 100% compared to what is available in the NCBI GenBank and that exposure for 30 minutes at a wavelength of 257 nanometers (20w) and at a distance of (20) cm from the dish to ultraviolet radiation resulted in to improve the production of arbutin twice as much as the wild strain.

Authors

Institutions

Publication Details

Journal
South Eastern European Journal of Public Health
Published
2024-09-30
DOI
https://doi.org/10.70135/seejph.vi.1254
Primary Topic
Enzyme Production and Characterization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Screening And Identification Of Bacterial Isolate Producing Arbutin Glycoside And Improving Its Productivity By Mutagenesis

Noor M.I., Nidhal M.S
South Eastern European Journal of Public Health
Enzyme Production and Characterization
article

Screening And Identification Of Bacterial Isolate Producing Arbutin Glycoside And Improving Its Productivity By Mutagenesis

Noor M.I., Nidhal M.S
article en

Abstract

From three sources of Iraqi soil, 30 bacterial isolates were obtained. after performing the primary isolation process, 12 isolates could produce the glycoside arbutin as an indication of the reddish-brown precipitate. When secondary isolation was conducted, it was found that two isolates, A7 and C10, gave the highest production of arbutin as a function of the concentration of the resulting compound, as it reached a concentration of Arbutin 5.3 µg/ml and 8.5 µg/ml, respectively. The diagnosis process was carried out for isolate C10 based on cultural and microscopic characteristics, as the nature of growth on the liquid medium was that it floated on the surface, and the cells formed a thin membrane with each other. Pellice as for the nature of growth on a liquid media, the colonies were spread out and flat, with irregular edges, a cream color, and a wrinkled surface, while the microscopic characteristics of the bacterial isolate were that they were positive for Gram stain and the cells were rod-shaped of medium length. The biochemical tests Vitec 2 results showed that the bacterial isolate belonged to Bacillus subtilis with a probability of 98%. Upon genetic diagnosis at the 16SrRNA level, it was found that the isolate belonged to the genus Bacillus subtilis by 100% compared to what is available in the NCBI GenBank and that exposure for 30 minutes at a wavelength of 257 nanometers (20w) and at a distance of (20) cm from the dish to ultraviolet radiation resulted in to improve the production of arbutin twice as much as the wild strain.

South Eastern European Journal of Public Health
University of Baghdad (IQ)
Openalex Percentile: Top 79%
Enzyme Production and Characterization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.