Kress WJ, Erickson DL (2012) DNA barcodes: methods and protocols. Jain A, Bacolla A, Chakraborty P et al (2010) Human DHX9 helicase unwinds triple-helical DNA structures. Hiraoka S, Yang C-C, Iwasaki W (2016) Metagenomics and bioinformatics in microbial ecology: current status and beyond. įaiza M (2017) Ab-initio prediction of protein structure: an introduction. Įdgar RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Ĭoleman AW, Vacquier VD (2002) Exploring the phylogenetic utility of ITS sequences for animals: a test case for abalone (Haliotis). īrown SDJ, Collins RA, Boyer S et al (2012) Spider: an R package for the analysis of species identity and evolution, with particular reference to DNA barcoding. 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.īrendel V, Xing L, Zhu W (2004) Gene structure prediction from consensus spliced alignment of multiple ESTs matching the same genomic locus. 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. Identification through DNA barcoding in soil microorganism is also a new avenue where various bioinformatic tool assisted the process like MUSCLE, BRONX, ecoPrimers, etc. 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. 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. These data generated by these technologies can directly be applied to the agricultural developments. 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. 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.
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