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      A microbiota–root–shoot circuit favours Arabidopsis growth over defence under suboptimal light

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          Abstract

          Bidirectional root–shoot signalling is probably key in orchestrating stress responses and ensuring plant survival. Here, we show that Arabidopsis thaliana responses to microbial root commensals and light are interconnected along a microbiota–root–shoot axis. Microbiota and light manipulation experiments in a gnotobiotic plant system reveal that low photosynthetically active radiation perceived by leaves induces long-distance modulation of root bacterial communities but not fungal or oomycete communities. Reciprocally, microbial commensals alleviate plant growth deficiency under low photosynthetically active radiation. This growth rescue was associated with reduced microbiota-induced aboveground defence responses and altered resistance to foliar pathogens compared with the control light condition. Inspection of a set of A. thaliana mutants reveals that this microbiota- and light-dependent growth–defence trade-off is directly explained by belowground bacterial community composition and requires the host transcriptional regulator MYC2. Our work indicates that aboveground stress responses in plants can be modulated by signals from microbial root commensals.

          Abstract

          A synthetic root microbial community rescues weak growth under low light and enhances immunity in Arabidopsis. Transcription factor MYC2 regulates both this coordination between rhizosphere and shoots and the growth/defence trade-off under low light conditions.

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              clusterProfiler: an R package for comparing biological themes among gene clusters.

              Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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                Author and article information

                Contributors
                hacquard@mpipz.mpg.de
                Journal
                Nat Plants
                Nat Plants
                Nature Plants
                Nature Publishing Group UK (London )
                2055-0278
                5 July 2021
                5 July 2021
                2021
                : 7
                : 8
                : 1078-1092
                Affiliations
                [1 ]GRID grid.419498.9, ISNI 0000 0001 0660 6765, Max Planck Institute for Plant Breeding Research, ; Cologne, Germany
                [2 ]GRID grid.425084.f, ISNI 0000 0004 0493 728X, Department of Molecular Signal Processing, , Leibniz Institute of Plant Biochemistry, ; Halle, Germany
                [3 ]GRID grid.419498.9, ISNI 0000 0001 0660 6765, Cluster of Excellence on Plant Sciences (CEPLAS), Max Planck Institute for Plant Breeding Research, ; Cologne, Germany
                Author information
                http://orcid.org/0000-0003-3658-2826
                http://orcid.org/0000-0002-5459-2051
                http://orcid.org/0000-0002-3044-1398
                http://orcid.org/0000-0003-2293-3525
                Article
                956
                10.1038/s41477-021-00956-4
                8367822
                34226690
                c5ff18ad-cd9a-4136-a798-5734e363e523
                © 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
                : 13 November 2020
                : 2 June 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
                Award ID: 758003
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Award ID: HA 8169/2-2
                Award Recipient :
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                © The Author(s), under exclusive licence to Springer Nature Limited 2021

                microbiology,plant symbiosis
                microbiology, plant symbiosis

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