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      Defining Composition and Function of the Rhizosphere Microbiota of Barley Genotypes Exposed to Growth-Limiting Nitrogen Supplies

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          ABSTRACT

          The microbiota populating the rhizosphere, the interface between roots and soil, can modulate plant growth, development, and health. These microbial communities are not stochastically assembled from the surrounding soil, but their composition and putative function are controlled, at least partially, by the host plant. Here, we use the staple cereal barley as a model to gain novel insights into the impact of differential applications of nitrogen, a rate-limiting step for global crop production, on the host genetic control of the rhizosphere microbiota. Using a high-throughput amplicon sequencing survey, we determined that nitrogen availability for plant uptake is a factor promoting the selective enrichment of individual taxa in the rhizosphere of wild and domesticated barley genotypes. Shotgun sequencing and metagenome-assembled genomes revealed that this taxonomic diversification is mirrored by a functional specialization, manifested by the differential enrichment of multiple Gene Ontology terms, of the microbiota of plants exposed to nitrogen conditions limiting barley growth. Finally, a plant soil feedback experiment revealed that host control of the barley microbiota underpins the assembly of a phylogenetically diverse group of bacteria putatively required to sustain plant performance under nitrogen-limiting supplies. Taken together, our observations indicate that under nitrogen conditions limiting plant growth, host-microbe and microbe-microbe interactions fine-tune the host genetic selection of the barley microbiota at both taxonomic and functional levels. The disruption of these recruitment cues negatively impacts plant growth.

          IMPORTANCE The microbiota inhabiting the rhizosphere, the thin layer of soil surrounding plant roots, can promote the growth, development, and health of their host plants. Previous research indicated that differences in the genetic composition of the host plant coincide with variations in the composition of the rhizosphere microbiota. This is particularly evident when looking at the microbiota associated with input-demanding modern cultivated varieties and their wild relatives, which have evolved under marginal conditions. However, the functional significance of these differences remains to be fully elucidated. We investigated the rhizosphere microbiota of wild and cultivated genotypes of the global crop barley and determined that nutrient conditions limiting plant growth amplify the host control on microbes at the root-soil interface. This is reflected in a plant- and genotype-dependent functional specialization of the rhizosphere microbiota, which appears to be required for optimal plant growth. These findings provide novel insights into the significance of the rhizosphere microbiota for plant growth and sustainable agriculture.

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              DADA2: High resolution sample inference from Illumina amplicon data

              We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                mSystems
                mSystems
                msystems
                mSystems
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2379-5077
                7 November 2022
                Nov-Dec 2022
                7 November 2022
                : 7
                : 6
                : e00934-22
                Affiliations
                [a ] Plant Sciences, School of Life Sciences, University of Dundeegrid.8241.f, , Dundee, United Kingdom
                [b ] Agrobiosciences Program, Plant & Soil Microbiome Subprogram, Mohammed VI Polytechnic University, Benguerir, Morocco
                [c ] Sustainable Soils and Crops, Rothamsted Research, Harpenden, United Kingdom
                [d ] Cell and Molecular Sciences, The James Hutton Institute, Dundee, United Kingdom
                [e ] Institut Agro, INRAE, IRHS, SFR QUASAV, University of Angers, Angers, France
                [f ] MAAVi Innovation Center, Paraje Cerro de Los Lobos, Almeria, Spain
                [g ] Ecological Sciences, The James Hutton Institute, Aberdeen, United Kingdom
                [h ] Global Academy of Agriculture and Food Systems, University of Edinburgh, Midlothian, United Kingdom
                [i ] Data Analysis Group, School of Life Sciences, University of Dundeegrid.8241.f, , Dundee, United Kingdom
                University of California San Diego
                Author notes

                Rodrigo Alegria Terrazas and Senga Robertson-Albertyn contributed equally to this work. Author order was determined alphabetically.

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0002-3005-7273
                https://orcid.org/0000-0001-5907-714X
                https://orcid.org/0000-0002-5876-0331
                https://orcid.org/0000-0002-7633-8476
                https://orcid.org/0000-0003-2014-2148
                https://orcid.org/0000-0001-7701-4249
                https://orcid.org/0000-0002-2020-6642
                Article
                00934-22 msystems.00934-22
                10.1128/msystems.00934-22
                9765016
                36342125
                0ee7e6af-c6da-48d0-8e19-f21d63cf1a75
                Copyright © 2022 Alegria Terrazas et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 28 September 2022
                : 28 September 2022
                Page count
                supplementary-material: 10, Figures: 7, Tables: 2, Equations: 0, References: 124, Pages: 23, Words: 15736
                Funding
                Funded by: Scottish Food Security Alliance;
                Award ID: PhD studentship
                Award Recipient : Award Recipient : Award Recipient :
                Funded by: Royal Society of Edinburgh (RSE), FundRef https://doi.org/10.13039/501100000332;
                Award ID: Personal Research Fellowship
                Award Recipient :
                Funded by: Carnegie Trust for the Universities of Scotland, FundRef https://doi.org/10.13039/501100000582;
                Award ID: RIG007411
                Award Recipient :
                Funded by: UKRI | Biotechnology and Biological Sciences Research Council (BBSRC), FundRef https://doi.org/10.13039/501100000268;
                Award ID: BB/S002871/1
                Award Recipient :
                Funded by: EC | Horizon 2020 Framework Programme (H2020), FundRef https://doi.org/10.13039/100010661;
                Award ID: 818290
                Award Recipient :
                Categories
                Research Article
                editors-pick, Editor's Pick
                bacteriology, Bacteriology
                Custom metadata
                November/December 2022

                barley,metagenomics,nitrogen,rhizosphere-inhabiting microbes

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