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Leguminous and oil contaminated soils indigenous bacteria industrially more potent than unplanted soil
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Abstract
Leguminous and oil contaminated soils are considered an important rich reservoir for industrial and environmentally important bacteria. However, how indigenous bacteria from these rich soils are different in terms of multiple enzymatic potential in comparison of bacterial isolates from unplanted soil is needed to bio-prospect it. Here, a comparative study was conducted to measure simultaneous multiple enzymatic potential (amylase, lipase, protease) of three indigenous Bacillus spp (Bacillus sp.1, Bacillus sp.2, Bacillus sp.3) isolated from oil contaminated, leguminous and unplanted soils. A significant (P < 0.05) differences in multiple enzyme production among three Bacillus species collected from three different types of soil (oil contaminated, leguminous, unplanted) was revealed by utilizing variety of substrates (starch, soybean), (olive oil, sunflower oil) and (casein, soybean) respectively. Maximum amylase production (21.554 ± 1.120 mm) on starch and protease (14.350 ± 1.100mm) on casein was observed from Bacillus sp.2 (leguminous soil), while lipase production was (20.241 ± 1.990mm) high in Bacillus sp.1 (oil contaminated soil) on olive oil. However, Bacillus sp.3 (unplanted soil) exhibited least enzymes capabilities (3.458 ± O.135mm), (2.208 ± 0.215) and (4.516 ± 0.225mm), at 37°C temperature, pH 7 after 48 hour respectively. Furthermore, enzyme production significantly decreased with the increase of temperature from 47°C, to 57°C. Results showed positive relationship between rich soil (oil-contaminated, leguminous soil) and multiple bacterial enzymatic potential as compare to unplanted soil. These findings demonstrated that indigenous Bacillus species from above soil types, have potential for multiple industrial enzymes, further indicating, these soils as highly demanding habitats for investigation of indigenous bacterial diversity with variety of industrial potential.
Springer Science and Business Media LLC
Title: Leguminous and oil contaminated soils indigenous bacteria industrially more potent than unplanted soil
Description:
Abstract
Leguminous and oil contaminated soils are considered an important rich reservoir for industrial and environmentally important bacteria.
However, how indigenous bacteria from these rich soils are different in terms of multiple enzymatic potential in comparison of bacterial isolates from unplanted soil is needed to bio-prospect it.
Here, a comparative study was conducted to measure simultaneous multiple enzymatic potential (amylase, lipase, protease) of three indigenous Bacillus spp (Bacillus sp.
1, Bacillus sp.
2, Bacillus sp.
3) isolated from oil contaminated, leguminous and unplanted soils.
A significant (P < 0.
05) differences in multiple enzyme production among three Bacillus species collected from three different types of soil (oil contaminated, leguminous, unplanted) was revealed by utilizing variety of substrates (starch, soybean), (olive oil, sunflower oil) and (casein, soybean) respectively.
Maximum amylase production (21.
554 ± 1.
120 mm) on starch and protease (14.
350 ± 1.
100mm) on casein was observed from Bacillus sp.
2 (leguminous soil), while lipase production was (20.
241 ± 1.
990mm) high in Bacillus sp.
1 (oil contaminated soil) on olive oil.
However, Bacillus sp.
3 (unplanted soil) exhibited least enzymes capabilities (3.
458 ± O.
135mm), (2.
208 ± 0.
215) and (4.
516 ± 0.
225mm), at 37°C temperature, pH 7 after 48 hour respectively.
Furthermore, enzyme production significantly decreased with the increase of temperature from 47°C, to 57°C.
Results showed positive relationship between rich soil (oil-contaminated, leguminous soil) and multiple bacterial enzymatic potential as compare to unplanted soil.
These findings demonstrated that indigenous Bacillus species from above soil types, have potential for multiple industrial enzymes, further indicating, these soils as highly demanding habitats for investigation of indigenous bacterial diversity with variety of industrial potential.
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