Bioremediation of Pesticide-Contaminated Soil: Emerging Options

Bhardwaj, Pooja; Kapley, Atya

doi:10.1007/978-81-322-2598-0_17

Cited by 3 publications

References 104 publications

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Futuristic avenues of metabolic engineering techniques in bioremediation

Sharma

Shukla

2020

Biotech and App Biochem

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Bioremediation is a promising technology for the treatment of environmental contaminants and paving new avenues for the betterment of the environment. Over the last some years, several approaches have been employed to optimize the genetic machinery of microorganisms relevant to bioremediation. Metabolic engineering is one of them that provides a new insight for bioremediation. This review envisages the critical role of these techniques toward exploring the possibilities of the creation of a new pathway, leading to pathway expansion to new substrates by assembling of catabolic modules from different origins in the same microbial cell. The recombinant DNA technology and gene editing tools were also explored for the construction of metabolically engineered microbial strains for the degradation of complex pollutants. Moreover, the importance of CRISPR-Cas system for knock-in and knock-out of genes was described by using recent studies. Further, the idea of the cocultivation of more than one metabolic engineered microbial communities is also discussed, which can be crucial in the bioremediation of multiple and complex pollutants. Finally, this review also elucidates the effective application of metabolic engineering in bioremediation through these techniques and tools.

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Futuristic avenues of metabolic engineering techniques in bioremediation

Sharma

Shukla

2020

Biotech and App Biochem

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Omics Perspective: Molecular Blueprint for Agrochemical Bioremediation Process in the Environment

Patil

Yesankar

Bhanse

et al. 2022

Agrochemicals in Soil and Environment

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Atrazine Bioremediation and Its Influence on Soil Microbial Diversity by Metagenomics Analysis

et al. 2020

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Pesticide accumulation in agricultural soils is an environmental concern, often addressed through distinct bioremediation strategies. This study has tried to analyze various soil bioremediation options viz., biostimulation, bioaugmentation, and natural attenuation in terms of efficiency and the response of autochthonous microbial flora by using atrazine as a model contaminant. Soil mesocosms were established with 100 kg of soil simulating the field conditions. The soil previously exposed to the herbicide was used for the bioaugmentation strategy undertaken in this study. We have tried to analyze how the microbial community responds to a foreign compound, both in terms of taxonomic and functional capacities? To answer this, we have analyzed metagenome of the mesocosms at a time point when 90% atrazine was degraded. Bioaugmentation for bioremediation proved to be efficient with a DT90 value of 15.48 ± 0.79 days, in comparison to the natural attenuation where the DT90 value was observed to be 41.20 ± 1.95 days. Metagenomic analysis revealed the abundance of orders Erysipelotrichales, Selemonadales, Clostridiales, and Thermoanaerobacterales exclusively in SBS mesocosm. Besides Pseudomonas, bacterial genera such as Achromobacter, Xanthomonas, Stenotrophomonas, and Cupriavidus have emerged as the dominant members in various bioremediation strategies tested in this study. Inclusive results suggest that inherent microbial flora adjust their community and metabolic machinery upon exposure to the pollutant. The site under pollutant stress showed efficient microbial communities to bio-remediate the newly polluted terrestrial ecologies in relatively less time and by economic means.

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Bioremediation of Pesticide-Contaminated Soil: Emerging Options

Cited by 3 publications

References 104 publications

Futuristic avenues of metabolic engineering techniques in bioremediation

Futuristic avenues of metabolic engineering techniques in bioremediation

Omics Perspective: Molecular Blueprint for Agrochemical Bioremediation Process in the Environment

Atrazine Bioremediation and Its Influence on Soil Microbial Diversity by Metagenomics Analysis

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