evaluation of alkaline protease production and optimization of culture medium by yarrowia lipolytica
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2015
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Abstract
Introduction: Proteases are the most important
industrial enzymes. These enzymes have gained much attention due to their
industrial applications in eliminating the environmental pollutions and
improving the industrial processes. The aims of this research were the isolation and identification of native yeasts that were able to produce the alkaline protease. Materials and methods: Several samples of
soil, water and wastewater were collected from various places. The culture
media used for screening of yeast spp. with potential of alkaline protease
production were alkaline peptone agar and alkaline milk agar. The alkaline protease activity in
potential spp. was measured using
Lowry method. The effects of different culture media on the production of
alkaline protease by selected yeast
isolates were determined. For molecular identification of the best isolate, the DNA extraction was
performed and the PCR followed using universal 18s rDNA primers. Results: Among 27 isolates with the
capability of alkaline protease
production, one isolate with the most
enzyme activity, 525 u/ ml, was selected
for further processing. The best
culture medium for alkaline protease production was YPG
broth. The comparison of 18s rDNA
sequence from isolated yeast with the highest enzyme activity,
with the genomic database available in Gen Bank, using
BLAST software showed that our yeast isolate had the highest
similarity with Yarrowia lipolytica. Discussion and conclusion: According to numerous applications of alkaline proteases industrially and the lack of their production in our country, the native strains could
be beneficial for their production.
Regarding to non-pathogenicity and high
productivity of alkaline protease by our isolated yeast, Yarrowia
lipolytica, this isolate could be introduced as an amenable strain
for industrial production of alkaline protease.
| Reference Key |
lotfi2015biologicalevaluation
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|---|---|
| Authors | ;Mandana Lotfi;Keivan Beheshti Maal;Hashem nayeri |
| Journal | Epidemiology and psychiatric sciences |
| Year | 2015 |
| DOI |
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