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      Recent Developments in Systems Biology and Metabolic Engineering of Plant–Microbe Interactions

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          Abstract

          Microorganisms play a crucial role in the sustainability of the various ecosystems. The characterization of various interactions between microorganisms and other biotic factors is a necessary footstep to understand the association and functions of microbial communities. Among the different microbial interactions in an ecosystem, plant–microbe interaction plays an important role to balance the ecosystem. The present review explores plant–microbe interactions using gene editing and system biology tools toward the comprehension in improvement of plant traits. Further, system biology tools like FBA (flux balance analysis), OptKnock, and constraint-based modeling helps in understanding such interactions as a whole. In addition, various gene editing tools have been summarized and a strategy has been hypothesized for the development of disease free plants. Furthermore, we have tried to summarize the predictions through data retrieved from various types of sources such as high throughput sequencing data (e.g., single nucleotide polymorphism detection, RNA-seq, proteomics) and metabolic models have been reconstructed from such sequences for species communities. It is well known fact that systems biology approaches and modeling of biological networks will enable us to learn the insight of such network and will also help further in understanding these interactions.

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          Most cited references89

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          A protocol for generating a high-quality genome-scale metabolic reconstruction.

          Network reconstructions are a common denominator in systems biology. Bottom-up metabolic network reconstructions have been developed over the last 10 years. These reconstructions represent structured knowledge bases that abstract pertinent information on the biochemical transformations taking place within specific target organisms. The conversion of a reconstruction into a mathematical format facilitates a myriad of computational biological studies, including evaluation of network content, hypothesis testing and generation, analysis of phenotypic characteristics and metabolic engineering. To date, genome-scale metabolic reconstructions for more than 30 organisms have been published and this number is expected to increase rapidly. However, these reconstructions differ in quality and coverage that may minimize their predictive potential and use as knowledge bases. Here we present a comprehensive protocol describing each step necessary to build a high-quality genome-scale metabolic reconstruction, as well as the common trials and tribulations. Therefore, this protocol provides a helpful manual for all stages of the reconstruction process.
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            Multiplex and homologous recombination-mediated genome editing in Arabidopsis and Nicotiana benthamiana using guide RNA and Cas9.

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              Speak, friend, and enter: signalling systems that promote beneficial symbiotic associations in plants.

              Plants associate with a wide range of microorganisms, with both detrimental and beneficial outcomes. Central to plant survival is the ability to recognize invading microorganisms and either limit their intrusion, in the case of pathogens, or promote the association, in the case of symbionts. To aid in this recognition process, elaborate communication and counter-communication systems have been established that determine the degree of ingress of the microorganism into the host plant. In this Review, I describe the common signalling processes used by plants during mutualistic interactions with microorganisms as diverse as arbuscular mycorrhizal fungi and rhizobial bacteria.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                26 September 2016
                2016
                : 7
                : 1421
                Affiliations
                [1]Enzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University Rohtak, India
                Author notes

                Edited by: Kumar Krishnamurthy, Tamil Nadu Agricultural University, India

                Reviewed by: Oswaldo Valdes-Lopez, National Autonomous University of Mexico, Mexico; Sangeeta Negi, New Mexico Consortium, USA; Joseph Davis Bagyaraj, Indian National Science Academy, Centre for Natural Biological Resources and Community Development, India

                *Correspondence: Pratyoosh Shukla, pratyoosh.shukla@ 123456gmail.com

                This article was submitted to Plant Biotic Interactions, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2016.01421
                5035732
                27725824
                116a4cad-ebb3-4cbb-a55c-4ed08a40cc74
                Copyright © 2016 Kumar, Baweja, Singh and Shukla.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 21 July 2016
                : 06 September 2016
                Page count
                Figures: 5, Tables: 2, Equations: 0, References: 116, Pages: 12, Words: 0
                Categories
                Plant Science
                Review

                Plant science & Botany
                plant–microbe interactions,signaling,systems biology,crispr-cas,gene editing

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