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      Rapid evolution of bacterial mutualism in the plant rhizosphere

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          Abstract

          While beneficial plant-microbe interactions are common in nature, direct evidence for the evolution of bacterial mutualism is scarce. Here we use experimental evolution to causally show that initially plant-antagonistic Pseudomonas protegens bacteria evolve into mutualists in the rhizosphere of Arabidopsis thaliana within six plant growth cycles (6 months). This evolutionary transition is accompanied with increased mutualist fitness via two mechanisms: (i) improved competitiveness for root exudates and (ii) enhanced tolerance to the plant-secreted antimicrobial scopoletin whose production is regulated by transcription factor MYB72. Crucially, these mutualistic adaptations are coupled with reduced phytotoxicity, enhanced transcription of MYB72 in roots, and a positive effect on plant growth. Genetically, mutualism is associated with diverse mutations in the GacS/GacA two-component regulator system, which confers high fitness benefits only in the presence of plants. Together, our results show that rhizosphere bacteria can rapidly evolve along the parasitism-mutualism continuum at an agriculturally relevant evolutionary timescale.

          Abstract

          Beneficial plant-microbe interactions are common in nature, but direct evidence for the evolution of mutualism is scarce. Here, Li et al. experimentally evolve a rhizospheric bacterium and find that it can evolve into a mutualist on a relatively short timescale.

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          Most cited references78

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          BEDTools: a flexible suite of utilities for comparing genomic features

          Motivation: Testing for correlations between different sets of genomic features is a fundamental task in genomics research. However, searching for overlaps between features with existing web-based methods is complicated by the massive datasets that are routinely produced with current sequencing technologies. Fast and flexible tools are therefore required to ask complex questions of these data in an efficient manner. Results: This article introduces a new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format. BEDTools also supports the comparison of sequence alignments in BAM format to both BED and GFF features. The tools are extremely efficient and allow the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks. BEDTools can be combined with one another as well as with standard UNIX commands, thus facilitating routine genomics tasks as well as pipelines that can quickly answer intricate questions of large genomic datasets. Availability and implementation: BEDTools was written in C++. Source code and a comprehensive user manual are freely available at http://code.google.com/p/bedtools Contact: aaronquinlan@gmail.com; imh4y@virginia.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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            Prokka: rapid prokaryotic genome annotation.

            T Seemann (2014)
            The multiplex capability and high yield of current day DNA-sequencing instruments has made bacterial whole genome sequencing a routine affair. The subsequent de novo assembly of reads into contigs has been well addressed. The final step of annotating all relevant genomic features on those contigs can be achieved slowly using existing web- and email-based systems, but these are not applicable for sensitive data or integrating into computational pipelines. Here we introduce Prokka, a command line software tool to fully annotate a draft bacterial genome in about 10 min on a typical desktop computer. It produces standards-compliant output files for further analysis or viewing in genome browsers. Prokka is implemented in Perl and is freely available under an open source GPLv2 license from http://vicbioinformatics.com/. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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              The rhizosphere microbiome and plant health.

              The diversity of microbes associated with plant roots is enormous, in the order of tens of thousands of species. This complex plant-associated microbial community, also referred to as the second genome of the plant, is crucial for plant health. Recent advances in plant-microbe interactions research revealed that plants are able to shape their rhizosphere microbiome, as evidenced by the fact that different plant species host specific microbial communities when grown on the same soil. In this review, we discuss evidence that upon pathogen or insect attack, plants are able to recruit protective microorganisms, and enhance microbial activity to suppress pathogens in the rhizosphere. A comprehensive understanding of the mechanisms that govern selection and activity of microbial communities by plant roots will provide new opportunities to increase crop production. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                r.dejonge@uu.nl
                ville.friman@york.ac.uk
                A.L.C.Jousset@uu.nl
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                22 June 2021
                22 June 2021
                2021
                : 12
                : 3829
                Affiliations
                [1 ]GRID grid.5477.1, ISNI 0000000120346234, Utrecht University, Department of Biology, , Plant-Microbe Interactions, ; Utrecht, The Netherlands
                [2 ]GRID grid.14095.39, ISNI 0000 0000 9116 4836, Freie Universität Berlin, , Institut für Biologie, ; Berlin, Germany
                [3 ]GRID grid.452299.1, Berlin-Brandenburg Institute of Advanced Biodiversity Research, ; Berlin, Germany
                [4 ]GRID grid.11486.3a, ISNI 0000000104788040, VIB Center for Plant Systems Biology, ; Ghent, Belgium
                [5 ]GRID grid.5342.0, ISNI 0000 0001 2069 7798, Ghent University, , Department of Plant Biotechnology and Bioinformatics, ; Ghent, Belgium
                [6 ]GRID grid.5685.e, ISNI 0000 0004 1936 9668, University of York, , Department of Biology, ; York, UK
                [7 ]GRID grid.5477.1, ISNI 0000000120346234, Utrecht University, , Department of Biology, Ecology and Biodiversity, ; Utrecht, The Netherlands
                Author information
                http://orcid.org/0000-0001-5065-8538
                http://orcid.org/0000-0002-1592-157X
                http://orcid.org/0000-0002-5473-4646
                http://orcid.org/0000-0002-6805-2486
                Article
                24005
                10.1038/s41467-021-24005-y
                8219802
                34158504
                aecb4081-0df7-4dbb-a325-5bb717e829df
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article′s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article′s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 December 2020
                : 24 May 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100004543, China Scholarship Council (CSC);
                Funded by: FundRef https://doi.org/10.13039/501100003130, Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders);
                Award ID: 12B8116RN
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000288, Royal Society;
                Award ID: RSG\R1\180213
                Award ID: CHL\R1\180031
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000277, Department for Environment, Food and Rural Affairs (Defra);
                Award ID: BB/T010606/1
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                community ecology,experimental evolution,bacterial evolution,rhizobial symbiosis
                Uncategorized
                community ecology, experimental evolution, bacterial evolution, rhizobial symbiosis

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