Microbial Metagenomics in Effluent Treatment Plant

1st Edition - May 16, 2024
Imprint: Elsevier
Editor: Maulin P. Shah
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 1 3 5 3 1 - 6
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 1 3 5 3 2 - 3

Microbial Metagenomics in Effluent Treatment Plant introduces a metagenomic approach characterizing microbial communities in industrial wastewater treatment, providing an overall p… Read more

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Microbial Metagenomics in Effluent Treatment Plant introduces a metagenomic approach characterizing microbial communities in industrial wastewater treatment, providing an overall picture of metagenomics, its application, processes, and future prospects in the field of bioremediation. It also discusses culture-dependent methods, culture-independent methods, and enzymatic methods used to estimate bacterial diversity to monitor temporal and spatial changes in bacterial communities.

In addition, a metagenomic approach id discussed to characterize the microbial communities in industrial wastewater treatment. Researchers, scientists, professors, and students in environmental engineering, applied microbiology, and water treatment will find this book helpful in understanding the importance and role of metagenomics in biogeochemical cycles, degradation, and detoxification of environmental pollutants.

Cover image
Title page
Table of Contents
Copyright
List of contributors
Chapter 1. Polycyclic aromatic hydrocarbon degradation by bacterial communities: a sustainable approach
Abstract
1.1 Introduction
1.2 Genetics of polycyclic aromatic hydrocarbon-degrading bacteria
1.3 Conclusion and future perspectives
References
Chapter 2. Analysis of complex microbial communities in soil and wastewater treatment processes
Abstract
2.1 Introduction
2.2 Value of researching microbial communities in waste-transformation procedures
2.3 Cooccurrence network analysis for the characterization of microbial communities
2.4 Research aimed toward Phylogenetic Fingerprinting of the Whole Communities
2.5 Conclusion
List of abbreviations
References
Chapter 3. Response of microbial community to environment changes
Abstract
3.1 Introduction
3.2 Effect of drought on soil microbes drought
3.3 Alpha diversity of microbes in carbon, nitrogen, and phosphorous cycle
3.4 Effect of excess rain and water on soil microbes
3.5 Different communities of soil microbes
3.6 Rise in temperature
3.7 Microbes in the soil and the rising incidence of fires
3.8 Biochemical properties of soil
3.9 Effect of microbes on gaseous exchange
3.10 Adapting to climate change through soil microbiome manipulation
3.11 Recent developments in molecular methods for analyzing the soil microbiome
3.12 Changes in plant–microbe interaction caused by global warming
3.13 Case study: drought impacts on microbial communities in both minimally and heavily managed grassland
3.14 Case study microorganism
3.15 Conclusion
Abbreviations
References
Chapter 4. Gene prediction through metagenomics
Abstract
4.1 Introduction
4.2 Genomics versus metagenomics
4.3 Gene prediction in Eukaryotes versus prokaryotes
4.4 Significance of metagenomics
4.5 Methods of gene prediction
4.6 Models and algorithms
4.7 MetaGUN for metagenomic fragments based on a machine learning approach of support vector machine
4.8 Glimmer
4.9 Algorithm structure
4.10 Ab initio gene identification in metagenomic sequences
4.11 Heuristic system of model parameters derivation
4.12 Orphelia
4.13 Metageneannotator
4.14 Predictions on short genomic sequences
4.15 Predictions on long genomic sequences
4.16 Applications of metagenomics
4.17 Agriculture
4.18 Biofuel
4.19 Biotechnology
4.20 Ecology
4.21 Environmental remediation
4.22 Gut microbe characterization
4.23 Infectious disease diagnosis
4.24 Arbovirus surveillance
4.25 Forensics
4.26 Drug discovery
4.27 Enzymes
References
Further reading
Chapter 5. Elevating taxonomic profiling: the role and impact of bioinformatics software
Abstract
5.1 Introduction
5.2 Metagenomics and taxonomy profiling
5.3 Basic techniques and tools
5.4 Types of taxonomic profiling
5.5 Metagenomic data analysis and interpretation
5.6 Application of metagenomics
5.7 Discussion and conclusion
References
Further reading
Chapter 6. Industrial wastewater remediation by using microbial communities
Abstract
6.1 Introduction of microbial populations
6.2 Different source of water toxicity
6.3 Recent progress for wastewater treatment
6.4 Advantages of microbial population in wastewater and solid waste treatment
6.5 A comparative study with different substrate
6.6 Further improvements needed
6.7 Conclusions
References
Chapter 7. Microbial populations, function, and impact on environmental changes
Abstract
7.1 Introduction
7.2 Role of metagenomics
7.3 By reducing the availability of iron through the release of siderophores (low molecular weight), PGPR bacteria inhibit the growth of pathogenic germs
7.4 Impact on microbes
7.5 Conclusion
References
Chapter 8. Microbial bioremediation of industrial waste through traditional and omics approaches: challenges and future perspective
Abstract
8.1 Introduction
8.2 Health risks associated with toxic contaminants
8.3 Microbes involved in bioremediation
8.4 Genetically engineered microbes for bioremediation
8.5 Omics-based tools for efficient bioremediation
8.6 Challenges in the implementation of bioremediation
8.7 Conclusion
References
Chapter 9. Oral metagenomics changes the game in carcinogenesis
Abstract
9.1 Introduction
9.2 Oral microbiota and cancer
9.3 Oral metagenomics leads to oral megabank
9.4 Oral metagenomics applications
9.5 Conclusion
References
Chapter 10. Probiotics and metagenomics’ role in oral health
Abstract
10.1 Introduction
10.2 Effector strain
10.3 Biotics and oral health
10.4 Molecular analysis of oral microbial
10.5 Oral health and metagenomics
10.6 Metagenomic and metabolic pathways
10.7 Engineering probiotics
10.8 Opportunities in oral metagenomics
10.9 Search for potential probiotics through metagenomics
10.10 Microbial metagenomics in dental wastewater treatment
10.11 Conclusion
References
Chapter 11. Metagenomics: a tool for haunting abandoned microbial community
Abstract
11.1 Introduction
11.2 From genomics to metagenomics
11.3 Metagenomic gene prediction
11.4 Metagenomics: discovery of new dimensions of the virus world
11.5 Machine-learning tools for metagenomics gene prediction
11.6 Data analysis
11.7 Use of orphelia for metagenomic gene prediction
11.8 Concluding remarks and future prospects
References
Chapter 12. Microbe-mediated mercury bioremediation for wastewater treatment
Abstract
12.1 Introduction
12.2 Hg-resistant bacteria-mediated bioremediation
12.3 Genetically engineered bacteria-mediated bioremediation
12.4 Conclusion and future perspectives
Acknowledgment
References
Index

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Microbial Metagenomics in Effluent Treatment Plant

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Maulin P. Shah

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