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      Coordinated bacterial and plant sulfur metabolism in Enterobacter sp. SA187–induced plant salt stress tolerance

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          Significance

          Although plant growth–promoting bacteria (PGPB) enhance the performance of plants, only a few mechanisms have been identified so far. We show that the sulfur metabolisms in both PGPB Enterobacter sp. SA187 and Arabidopsis plants play a key role in plant salt stress tolerance. Salt stress induces a sulfur starvation response in plants that is attenuated by SA187. Arabidopsis sulfur metabolic mutants are hypersensitive to salt stress but can be rescued by SA187. Most plant sulfur metabolism occurs in chloroplasts and is linked to stress-induced accumulation of reactive oxygen species that is suppressed by SA187. This work reveals that plant salt stress tolerance requires the coordinated regulation of the sulfur metabolic pathways in both beneficial microbe and host plant.

          Abstract

          Enterobacter sp. SA187 is a root endophytic bacterium that maintains growth and yield of plants under abiotic stress conditions. In this work, we compared the metabolic wirings of Arabidopsis and SA187 in the free-living and endophytic interaction states. The interaction of SA187 with Arabidopsis induced massive changes in bacterial gene expression for chemotaxis, flagellar biosynthesis, quorum sensing, and biofilm formation. Besides modification of the bacterial carbon and energy metabolism, various nutrient and metabolite transporters and the entire sulfur pathway were up-regulated. Under salt stress, Arabidopsis resembled plants under sulfate starvation but not when colonized by SA187, which reprogramed the sulfur regulon of Arabidopsis. In accordance, salt hypersensitivity of multiple Arabidopsis sulfur metabolism mutants was partially or completely rescued by SA187 as much as by the addition of sulfate, L-cysteine, or L-methionine. Many components of the sulfur metabolism that are localized in the chloroplast were partially rescued by SA187. Finally, salt-induced accumulation of reactive oxygen species as well as the hypersensitivity of LSU mutants were suppressed by SA187. LSUs encode a central regulator linking sulfur metabolism to chloroplast superoxide dismutase activity. The coordinated regulation of the sulfur metabolic pathways in both the beneficial microorganism and the host plant is required for salt stress tolerance in Arabidopsis and might be a common mechanism utilized by different beneficial microbes to mitigate the harmful effects of different abiotic stresses on plants.

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          Most cited references56

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.

            Next-generation sequencing technologies generate millions of short sequence reads, which are usually aligned to a reference genome. In many applications, the key information required for downstream analysis is the number of reads mapping to each genomic feature, for example to each exon or each gene. The process of counting reads is called read summarization. Read summarization is required for a great variety of genomic analyses but has so far received relatively little attention in the literature. We present featureCounts, a read summarization program suitable for counting reads generated from either RNA or genomic DNA sequencing experiments. featureCounts implements highly efficient chromosome hashing and feature blocking techniques. It is considerably faster than existing methods (by an order of magnitude for gene-level summarization) and requires far less computer memory. It works with either single or paired-end reads and provides a wide range of options appropriate for different sequencing applications. featureCounts is available under GNU General Public License as part of the Subread (http://subread.sourceforge.net) or Rsubread (http://www.bioconductor.org) software packages.
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              Transcript assembly and abundance estimation from RNA-Seq reveals thousands of new transcripts and switching among isoforms

              High-throughput mRNA sequencing (RNA-Seq) holds the promise of simultaneous transcript discovery and abundance estimation 1-3 . We introduce an algorithm for transcript assembly coupled with a statistical model for RNA-Seq experiments that produces estimates of abundances. Our algorithms are implemented in an open source software program called Cufflinks. To test Cufflinks, we sequenced and analyzed more than 430 million paired 75bp RNA-Seq reads from a mouse myoblast cell line representing a differentiation time series. We detected 13,692 known transcripts and 3,724 previously unannotated ones, 62% of which are supported by independent expression data or by homologous genes in other species. Analysis of transcript expression over the time series revealed complete switches in the dominant transcription start site (TSS) or splice-isoform in 330 genes, along with more subtle shifts in a further 1,304 genes. These dynamics suggest substantial regulatory flexibility and complexity in this well-studied model of muscle development.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                11 November 2021
                16 November 2021
                11 November 2021
                : 118
                : 46
                : e2107417118
                Affiliations
                [1] aDARWIN21, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology , Thuwal 23955, Saudi Arabia;
                [2] bRed Sea Research Center, King Abdullah University of Science and Technology , Thuwal 23955, Saudi Arabia;
                [3] cDepartment of Biology, College of Sciences, University of Jeddah , Jeddah 21589, Saudi Arabia;
                [4] dUniversité Paris-Saclay, CNRS, French National Research Institute for Agriculture, Food and Environment (INRAE), Université Evry, Institute of Plant Sciences Paris-Saclay , Orsay 91405, France;
                [5] ePrincess Nourah Bint Abdulrahman University , Riyadh 17452, Saudi Arabia;
                [6] fMax F. Perutz Laboratories, University of Vienna A-1030 Vienna, Austria
                Author notes
                2To whom correspondence may be addressed. Email: maged.saad@ 123456kaust.edu.sa .

                Edited by Jeffery L. Dangl, University of North Carolina at Chapel Hill, Chapel Hill, NC, and approved October 5, 2021 (received for review May 26, 2021)

                Author contributions: A.d.Z., M.M.S., and H.H. designed research; C.A.-B., H.A., R.J., A.d.Z., A.B., O.A., K.A., A.R., K.S., and M.A.-T. performed research; C.A.-B., H.A., and K.G.M. analyzed data; C.A.-B., H.A., M.M.S., and H.H. wrote the paper; and A.d.Z., M.M.S., and H.H. supervised and discussed results with authors.

                1C.A.-B., H.A., and R.J. contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-1010-7322
                https://orcid.org/0000-0002-3388-4039
                https://orcid.org/0000-0002-0831-8756
                https://orcid.org/0000-0003-0137-9027
                https://orcid.org/0000-0001-8661-8933
                https://orcid.org/0000-0001-7071-8710
                https://orcid.org/0000-0001-9081-3547
                https://orcid.org/0000-0002-5655-8674
                https://orcid.org/0000-0003-3119-9633
                Article
                202107417
                10.1073/pnas.2107417118
                8609655
                34772809
                039a137b-063b-4819-891b-68f0665eca18
                Copyright © 2021 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                : 27 September 2021
                Page count
                Pages: 12
                Funding
                Funded by: King Abdullah University of Science and Technology (KAUST) 501100004052
                Award ID: BAS/1/1062-01-01
                Award Recipient : Heribert Hirt
                Categories
                428
                Biological Sciences
                Plant Biology

                rna-seq,plant–microbe interaction,plant growth–promoting bacteria,salt stress,sulfur metabolism

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