Abstract
At present, the rhizosphere study is gaining huge scientific attention worldwide. Plant and microbes are interlinked by a thin networking system comprising bacteria, archaea, fungi, picoeukaryotes, and phage, aggregated with in the narrow zone within close proximity of plant roots. The fine tuning of the microbial community depends upon the plant species, texture of soil, and nature of root secretion, in response to the microbiota directly/indirectly regulates plant growth, metabolism, nutrient cycling, and survival under stress condition. The gain in research interest of rhizosphere is majorly due to the recent rapid development of NGS platform in the last decade. Development and evolution of NGS from the time of Sanger’s sequencing is now facilitating researchers with low cost, high throughput, longer read length, and lesser technical complexity in sample processing. With the progress of NGS, huge genomic data has been generating that force the parallel innovation in bioinformatics tools for data processing and storing. In this chapter, we focus on evolution of NGS platform and their applications in rhizosphere study. Rhizosphere study have the immense possibilities towards world food security, improving nutrient cycling in agricultural field, engineering microbial community for plant growth and higher productivity as well have applicable in preserving natural plant diversity of local ecosystem.
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Pati, D., Sahu, B.B. (2021). Long Sequencing Tools for Rhizosphere Study. In: Pudake, R.N., Sahu, B.B., Kumari, M., Sharma, A.K. (eds) Omics Science for Rhizosphere Biology. Rhizosphere Biology. Springer, Singapore. https://doi.org/10.1007/978-981-16-0889-6_12
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