ISSN: 0973-7510

E-ISSN: 2581-690X

Review Article | Open Access
Mukesh Kumar Sharma1,2 , Puneet Jain1, Chetan Kumar Joshi3 and Mohan Kumar1
1Department of Biotechnology, Maharaj Vinayak Global University, Jaipur – 302 001, Rajasthan, India.
2Department of Botany, Vishwa Bharti PG College, Sikar – 332 001, Rajasthan, India.
3Department of Zoology, Government Science College, Sikar – 332 001, Rajasthan, India.
J Pure Appl Microbiol. 2022;16(1):89-109 | Article Number: 7339
https://doi.org/10.22207/JPAM.16.1.61 | © The Author(s). 2022
Received: 27/09/2021 | Accepted: 19/01/2022 | Published online: 25/02/2022
Issue online: March 2022
Abstract

The contamination of environmental sully with antibiotics is regarded as a major problem today and predictable to attain more recognition in near future. However, human intervention resulting in antibiotic consumption is being enhancing all around the world. Our review of literature revealed the role of microbiome in sully and how antibiotic resistant genes raised. The structure of antibiotics basically influenced by natural components such as biotic and abiotic push which shifts based on different soils. Therefore, management of microbiome in soil and their expression studies were distinctively revealed. The assessment of antibiotic resistance genes with help of next generation sequencing provided a clear comprehension on genome and transcriptome of the bacterial genes. Thus, interaction of microbiome with soil can also be well understood. The current findings in our study will guide every researcher to follow logical protocol in analyzing microbiota composition is covered as well and also to understand its metagenomic and sequenced with next-generation sequencer which helps to comprehend the diverse micro-flora present in soil and its operation. Finally, later progresses in bioinformatics computer program, flow of work, and applications for analyzing metagenomic information are put in a nutshell.

Keywords

Microbiome, Antibiotics, Metagenomic, Bioinformatics, Next Genome Sequencing

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