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      Modular Traits of the Rhizobiales Root Microbiota and Their Evolutionary Relationship with Symbiotic Rhizobia

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          Summary

          Rhizobia are a paraphyletic group of soil-borne bacteria that induce nodule organogenesis in legume roots and fix atmospheric nitrogen for plant growth. In non-leguminous plants, species from the Rhizobiales order define a core lineage of the plant microbiota, suggesting additional functional interactions with plant hosts. In this work, genome analyses of 1,314 Rhizobiales isolates along with amplicon studies of the root microbiota reveal the evolutionary history of nitrogen-fixing symbiosis in this bacterial order. Key symbiosis genes were acquired multiple times, and the most recent common ancestor could colonize roots of a broad host range. In addition, root growth promotion is a characteristic trait of Rhizobiales in Arabidopsis thaliana, whereas interference with plant immunity constitutes a separate, strain-specific phenotype of root commensal Alphaproteobacteria. Additional studies with a tripartite gnotobiotic plant system reveal that these traits operate in a modular fashion and thus might be relevant to microbial homeostasis in healthy roots.

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          Highlights

          • Comparative genomics of >1,300 Rhizobiales isolated from diverse plant hosts

          • Commensalism predates nitrogen-fixing nodule symbiosis in rhizobia

          • Root growth promotion is a conserved trait of commensal Rhizobiales

          • Microbiota members exhibit strain-specific interference of Arabidopsis immune responses

          Abstract

          Garrido-Oter, Nakano, Dombrowski, et al. employ comparative genomics of ∼1,000 Rhizobiales strains that were isolated from diverse plant species to reconstruct the evolutionary history of nitrogen-fixing symbiosis. Arabidopsis re-colonization experiments reveal that root growth promotion and interference with host immune responses are modular traits of the root microbiota.

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          Most cited references42

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          NIH Image to ImageJ: 25 years of image analysis.

          For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            MRBAYES: Bayesian inference of phylogenetic trees.

            The program MRBAYES performs Bayesian inference of phylogeny using a variant of Markov chain Monte Carlo. MRBAYES, including the source code, documentation, sample data files, and an executable, is available at http://brahms.biology.rochester.edu/software.html.
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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
                Cell Host Microbe
                Cell Host Microbe
                Cell Host & Microbe
                Cell Press
                1931-3128
                1934-6069
                11 July 2018
                11 July 2018
                : 24
                : 1
                : 155-167.e5
                Affiliations
                [1 ]Department of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne 50829, Germany
                [2 ]Cluster of Excellence on Plant Sciences, Dusseldorf 40225, Germany
                [3 ]University of Texas Austin, Marine Science Institute, Port Aransas, TX 78373, USA
                [4 ]AgBiome, 104 T.W. Alexander Drive, Building 1, Research Triangle Park, NC 27709, USA
                [5 ]Department of Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig 38124, Germany
                Author notes
                []Corresponding author schlef@ 123456mpipz.mpg.de
                [6]

                These authors contributed equally

                [7]

                Lead Contact

                Article
                S1931-3128(18)30318-4
                10.1016/j.chom.2018.06.006
                6053594
                30001518
                6184584e-9e26-4f3a-bd32-876811f7fb8a
                © 2018 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 29 January 2018
                : 16 April 2018
                : 15 June 2018
                Categories
                Article

                Microbiology & Virology
                microbiota,rhizobiales,symbiosis,commensalism,plant immunity,phylogenomics
                Microbiology & Virology
                microbiota, rhizobiales, symbiosis, commensalism, plant immunity, phylogenomics

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