Category Archives: Uncategorized

Authors: Lalit Kumar Sen, Madhvi Chourasiya

Abstract: Soil contamination by heavy metals, pesticides, hydrocarbons, and industrial pollutants disrupts microbial ecology, affecting soil health and plant productivity. Metatranscriptomics, the large-scale sequencing of environmental RNA, offers an advanced approach to decipher real-time microbial responses to such stressors. This study investigates the functional gene expression profiles of soil microbiomes under contaminant stress using metatranscriptomic analysis. By examining transcripts linked to oxidative stress, metal resistance, and pollutant degradation, we identify key microbial pathways that mediate adaptation and survival. Our findings highlight the upregulation of genes involved in efflux pumps, antioxidative enzymes like catalases and peroxidases, and biodegradative enzymes including monooxygenases and dioxygenases. Community-level expression patterns reveal taxonomic shifts favoring resilient genera such as Pseudomonas, Acinetobacter, and Rhodococcus. The data suggest that contaminated environments exert strong selective pressures, driving microbial communities toward functional redundancy and niche specialization. This study underscores the potential of metatranscriptomics as a tool to monitor ecological risk, assess bioremediation capacity, and develop precision strategies for soil restoration. Our work provides a foundational framework for future research aiming to optimize microbial functions for environmental detoxification and sustainable land management.

DOI: http://doi.org/10.5281/zenodo.16870960

Published by: vikaspatanker

Authors: Akhilesh Kumar Mandal, Savita Patra

Abstract: Acidic mine drainage (AMD) environments are characterized by extreme acidity and elevated concentrations of heavy metals, making them inhospitable to most life forms. Yet, microbial life thrives in these ecosystems through unique metabolic adaptations, particularly enzyme systems that function under such harsh conditions. This study explores the functional diversity of microbial enzymes in AMD sites, with a focus on their ecological roles, biogeochemical contributions, and potential applications in bioremediation. Through metagenomic analyses, microbial communities are examined for genes encoding enzymes involved in sulfur and iron oxidation, heavy metal resistance, and acid tolerance. The findings reveal a complex microbial network dominated by acidophilic chemolithoautotrophs such as Acidithiobacillus ferrooxidans and Leptospirillum ferrooxidans, which orchestrate critical oxidation-reduction processes. The presence of specialized enzymes like rusticyanin, cytochrome c oxidase, and ATPases adapted for low pH indicates functional specialization. Furthermore, these enzymes facilitate biogeochemical cycling and influence AMD chemistry, contributing to both environmental degradation and potential restoration when harnessed correctly. This study underscores the value of microbial enzyme diversity in understanding AMD ecology and leveraging it for sustainable environmental cleanup strategies.

DOI: http://doi.org/10.5281/zenodo.16870814

Published by: vikaspatanker

Authors: Amitesh Kumar Patel, Roshni Verma

Abstract: – Municipal landfills are one of the largest contributors to greenhouse gas emissions and long-term environmental degradation due to the slow degradation of organic waste. Enhancing microbial activity within these landfills is a promising approach for accelerating the decomposition process and reducing environmental burdens. This study explores the application of bio-stimulants—substances that promote microbial activity—within landfill environments to boost the metabolic rate and diversity of native microbial communities. By introducing bioavailable carbon, nitrogen, and trace minerals, microbial consortia involved in anaerobic digestion can be stimulated to more effectively degrade organic matter and stabilize landfill content. This paper examines various classes of bio-stimulants, including humic acids, molasses, compost tea, and amino acid-based formulations, and their impacts on microbial respiration, gas production (e.g., methane and CO₂), and leachate quality. The results suggest that targeted bio-stimulant application can lead to enhanced microbial enzymatic activity and accelerated waste mineralization, thereby promoting more efficient landfill management. This research contributes to the development of sustainable landfill technologies by highlighting the biochemical interactions and ecological benefits of microbial stimulation through natural amendments. The findings serve as a foundation for future bioengineering practices aimed at transforming traditional landfill sites into active bioreactors for organic waste treatment.

DOI: http://doi.org/10.5281/zenodo.16872527

 

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Authors: Gopal Prasad Bhoi, Madhuri Jena

Abstract: The global surge in organic waste production necessitates the development of sustainable and economically viable recovery methods. Microbial platforms have emerged as promising biotechnological tools for converting waste into valuable products, including biofertilizers, bioplastics, biofuels, and organic acids. This study explores the multifaceted roles of microbial consortia in decomposing organic waste and facilitating its transformation into commercially usable outputs. The research highlights key microbial species and their enzymatic capacities that enable efficient bioconversion, as well as system designs such as anaerobic digesters and compost bioreactors. Emphasis is also placed on the environmental and economic benefits of microbial waste valorization, including carbon footprint reduction, resource circularity, and income generation in agricultural and industrial sectors. The paper further discusses comparative efficiencies of indigenous versus genetically modified microbes and evaluates case studies showcasing real-world applications. Results suggest that well-optimized microbial platforms can achieve over 80% recovery efficiency in controlled systems. The study concludes by identifying technological gaps and future research priorities, particularly the need for integration with AI-based process monitoring and decentralized waste recovery systems for rural and urban settings. This research supports the broader vision of transforming the linear waste paradigm into a regenerative bioeconomy through microbial innovation.

DOI: http://doi.org/10.5281/zenodo.16872081

 

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Authors: Dilip Kumar Malviya, Poonam Khare

Abstract: Microbial wastewater treatment is a cornerstone of modern environmental engineering, with both indigenous and genetically engineered microbes playing pivotal roles. This study explores the comparative efficacy of native microbial communities versus engineered strains in degrading pollutants in municipal and industrial wastewater. Indigenous microbes, naturally adapted to local environmental conditions, exhibit broad resilience and stability, while engineered microbes are tailored for enhanced degradation of specific pollutants such as heavy metals, pharmaceuticals, and nitrogen compounds. Through controlled bioreactor experiments and field studies, this research examines pollutant removal efficiency, microbial survival, system stability, and overall ecological impacts. Our findings reveal that while indigenous microbes are more robust under fluctuating environmental conditions, engineered microbes demonstrate superior performance in targeted degradation tasks when environmental parameters are tightly controlled. However, the integration of both microbial types offers a promising hybrid approach to maximize pollutant removal. This study emphasizes the importance of context in selecting microbial strategies for wastewater treatment, advocating for tailored applications based on pollution load, regulatory needs, and environmental resilience. The results support the broader transition toward biologically intelligent wastewater treatment systems that leverage microbial diversity and synthetic biology. Ultimately, this research informs future developments in sustainable wastewater management practices globally.

DOI: http://doi.org/10.5281/zenodo.16871983

 

Published by: vikaspatanker

Authors: Ashok Kumar Barik, Sudha Tripathy

Abstract: Oil spills pose a persistent threat to marine and terrestrial ecosystems, demanding effective and eco-friendly remediation strategies. Microbial bioremediation, particularly through the adaptive pathways of native or introduced microbial populations, offers a sustainable alternative to physicochemical cleanup methods. This article explores the mechanisms by which microbial communities adapt to hydrocarbon contamination, focusing on metabolic flexibility, gene regulation, and community-level interactions. We review recent studies highlighting the role of hydrocarbonoclastic bacteria, including Alcanivorax, Marinobacter, and Pseudomonas, in degrading crude oil components. Special attention is given to horizontal gene transfer, biofilm formation, and enzyme induction in the context of oil degradation. Through comparative analyses of field trials and laboratory microcosms, we assess the resilience and adaptability of microbial consortia to different spill environments. This study further identifies knowledge gaps in current bioremediation models, proposing a framework for integrating omics technologies and biosensors for real-time monitoring and pathway optimization. By delineating adaptive microbial responses at both genetic and ecological scales, this work contributes to developing more efficient and predictive oil spill bioremediation strategies.

DOI: http://doi.org/10.5281/zenodo.16871702

 

Published by: vikaspatanker

Authors: Sanjay Singh Rajput, Anshu Kaurav

Abstract: Bioelectrochemical systems (BES) represent a promising frontier in the nexus of microbiology and renewable energy. These systems harness the metabolic activity of electroactive microbes to convert organic substrates into electricity, biofuels, or valuable chemicals. This paper explores the structural and functional dynamics of BES, focusing on microbial fuel cells (MFCs), microbial electrolysis cells (MECs), and hybrid technologies. Emphasis is placed on the role of microbial consortia, biofilm formation, electron transfer mechanisms, and electrode-material interactions in enhancing system efficiency. The paper reviews recent advancements in BES optimization, including synthetic biology approaches, nanostructured electrodes, and system miniaturization for decentralized applications. Comparative analysis of BES performance in treating wastewater and converting it into energy underscores their dual utility in environmental bioremediation and green energy generation. Challenges such as power density limitations, scale-up issues, and long-term operational stability are discussed. Finally, the paper outlines future research directions in microbial engineering, smart control systems, and integration with smart grids. This work underscores BES as transformative tools in sustainable energy science, combining ecological engineering with renewable innovation to pave the way for low-carbon, microbe-driven energy alternatives

DOI: http://doi.org/10.5281/zenodo.1687152

 

Published by: vikaspatanker

Authors: Viraj P. Tathavadekar

Abstract: Combining Internet of Things (IoT) and artificial intelligence (AI) technologies in green technology adoption within IT supply chain ecosystems presents both unprecedented opportunities and complex challenges. This research investigates the strategic barriers, implementation solutions, and performance outcomes of AI-IoT integration for sustainable IT supply chain management. Through quantitative analysis of 350 IT companies across different maturity levels, this study examines the relationships between technological readiness, implementation challenges, and green technology adoption success. The findings reveal significant correlations between AI-IoT integration levels and sustainability performance metrics, while identifying critical success factors for overcoming implementation barriers. The research is one of the efforts to provide a body of literature on digital transformation in sustainable supply chain management, and offers empirical advice to practitioners and policy makers.

Published by: vikaspatanker

Authors: Manish Kumar Sahu, Swati Dubey

Abstract: The persistence of plastic waste in terrestrial and aquatic ecosystems has become a pressing global environmental concern, exacerbated by the limited degradability of synthetic polymers. In response, biological strategies utilizing microbial enzymes are being explored for sustainable plastic remediation. Composting systems, enriched with diverse thermophilic and mesophilic microbial populations, serve as promising environments for discovering enzymes capable of degrading plastics. This study investigates the enzymatic potential of microbes isolated from municipal compost to break down common plastic polymers such as polyethylene (PE), polyethylene terephthalate (PET), and polystyrene (PS). Through isolation, culturing, and enzymatic assays, microbes exhibiting hydrolytic activity were identified, with particular focus on PETase, cutinase, and laccase enzymes. Analytical techniques including FTIR spectroscopy, SEM imaging, and gravimetric analysis were used to assess the extent of plastic degradation. Results indicated partial breakdown of plastic substrates within several weeks, confirming the activity of compost-derived enzymes. The findings underscore the role of compost microbiota as a reservoir of biocatalysts with potential application in bioremediation and industrial plastic waste management. This research offers insights into developing eco-friendly solutions for plastic pollution through microbial enzyme exploitation, fostering a circular economy and reducing ecological harm.

DOI: https://doi.org/10.5281/zenodo.16869630

 

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Authors: Deepak Chouhan, Vandana Sharma

Abstract: Microbial communities are fundamental to the structure and function of ecosystems, and their responses to pollution provide critical insights into environmental degradation and recovery. This study investigates how microbial dynamics—community structure, diversity, and metabolic functions—can act as sensitive bioindicators of ecological recovery in polluted habitats. Using high-throughput sequencing, functional gene profiling, and ecological modeling, we examined microbial community transitions in heavy metal-contaminated riverbeds, hydrocarbon-polluted soils, and nutrient-enriched wetlands undergoing restoration. The results show that microbial diversity and the re-establishment of functional guilds such as nitrogen-fixers and sulfate-reducers coincide with improvements in physicochemical conditions. Shifts in microbial taxa and functions were predictive of ecosystem resilience and aligned with known ecological recovery benchmarks. We propose a Microbial Recovery Index (MRI) based on taxonomic and functional traits as a tool for ecological monitoring. Our findings demonstrate that microbial indicators can detect early stages of recovery, often before changes in macroscopic biota are observable. This microbial lens provides a cost-effective, high-resolution approach to track restoration progress and inform adaptive management strategies. By placing microbial communities at the core of ecological assessment frameworks, we contribute to a more nuanced understanding of how ecosystems respond to remediation interventions.

DOI: https://doi.org/10.5281/zenodo.16869589

 

Published by: vikaspatanker