Abstract
The twenty-first century is the era of omics technologies which is mainly focused on generation and analysis of molecular data present within the organisms. In the last two decades, enormous data were generated by researchers in laboratories, due to the rapid developments of high-throughput next-generation sequencing (NGS) technologies. These data generated by these technologies can directly be applied to the agricultural developments. The agriculture system which is directly connected to soil can act as plant growth promoters in free-living state or either associated with the rhizospheric region. Whole-genome sequences of the microorganisms are available in the database which is useful for genome-wide identification of specific genes, proteins, ESTs, ORFs, etc. Identification through DNA barcoding in soil microorganism is also a new avenue where various bioinformatic tool assisted the process like MUSCLE, BRONX, ecoPrimers, etc. Microbial system biology is another way to explore the data from different metabolic pathways, genes, and proteins for the valid conclusion of the microbial activity. In totality, the in silico tools comprised of databases and softwares that can assist to reduce the “sequence-function gap” and help in the broad-spectrum study of soil microorganisms and their application toward sustainable agriculture.
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Authors P.B and A.B are thankful for all the researchers for their contribution. Their contribution cited in reference section.
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Bhatt, P., Barh, A. (2018). Bioinformatic Tools to Study the Soil Microorganisms: An In Silico Approach for Sustainable Agriculture. In: Choudhary, D., Kumar, M., Prasad, R., Kumar, V. (eds) In Silico Approach for Sustainable Agriculture. Springer, Singapore. https://doi.org/10.1007/978-981-13-0347-0_10
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