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Lead bioaccumulation mediated by Bacillus cereus BPS-9 from an industrial waste contaminated site encoding heavy metal resistant genes and their transporters.
Journal of Hazardous Materials ( IF 13.6 ) Pub Date : 2020-06-23 , DOI: 10.1016/j.jhazmat.2020.123285
Babita Sharma 1 , Pratyoosh Shukla 1
Affiliation  

This study explores the soil microorganisms for their Lead bioremediation capability. The MIC values of the six Lead resistant bacteria were evaluated, and the AAS studies of these isolates estimated their Lead accumulation percentage. The results showed that the isolate namely Bacillus cereus BPS-9 as identified based on 16S rDNA gene sequences was shown to have the highest Lead accumulation potential (79.26 %) and also selected for bioaccumulation studies. Despite the reduction in growth rate, the superoxide dismutase activity of B. cereus BPS-9 was increased with a rise in the concentration of Lead manifested through increased nitro-blue tetrazolium (NBT) reduction from 3.94 % to 77.48 %. Moreover, the biosorption capacity of B. cereus BPS-9 was 193.93 mg/g and the Langmuir isotherm model showed a value of R2 = 0.9. Furthermore, the FTIR analysis also established the role of C-H, C=C, N=N, N-H, and C-O functional groups in Lead adsorption and the SEM micrographs showed that the cells of B. cereus BPS-9 became dense, adhered and distorted after Lead adsorption. Finally, the In-silico results obtained by functional analysis through SEED viewer of the whole genome of B. cereus deciphered the presence of genes encoding heavy metal resistant proteins and transporters for the efflux of heavy metals.



中文翻译:

蜡状芽孢杆菌BPS-9介导的铅生物蓄积来自编码重金属抗性基因及其转运蛋白的工业废物污染站点。

这项研究探索了土壤微生物的铅生物修复能力。评估了六个铅抗性细菌的MIC值,对这些分离株的AAS研究估计了它们的铅累积百分比。结果表明,基于16S rDNA基因序列鉴定出的分离株,即蜡状芽孢杆菌BPS-9,具有最高的铅积累潜力(79.26%),并且也被选择用于生物积累研究。尽管生长速率降低,但蜡状芽孢杆菌BPS-9的超氧化物歧化酶活性仍随着铅浓度的升高而增加,这是通过将硝基蓝四唑(NBT)含量从3.94%增加至77.48%来体现的。此外,蜡状芽孢杆菌的生物吸附能力BPS-9为193.93 mg / g,Langmuir等温线模型的R 2 = 0.9。此外,FTIR分析还确定了CH,C = C,N = N,NH和CO官能团在铅吸附中的作用,并且SEM显微照片显示蜡状芽孢杆菌BPS-9的细胞变得致密,粘附和变形铅吸附后。最后,通过蜡样芽孢杆菌整个基因组的SEED查看器进行的功能分析获得的计算机模拟结果解密了编码重金属抗性蛋白和转运重金属的转运蛋白的基因。

更新日期:2020-07-10
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