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      Influence of soil depth, irrigation, and plant genotype on the soil microbiome, metaphenome, and carbon chemistry

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          ABSTRACT

          Climate change is causing an increase in drought in many soil ecosystems and a loss of soil organic carbon. Calcareous soils may partially mitigate these losses via carbon capture and storage. Here, we aimed to determine how irrigation-supplied soil moisture and perennial plants impact biotic and abiotic soil properties that underpin deep soil carbon chemistry in an unfertilized calcareous soil. Soil was sampled up to 1 m in depth from irrigated and planted field treatments and was analyzed using a suite of omics and chemical analyses. The soil microbial community composition was impacted more by irrigation and plant cover treatments than by soil depth. By contrast, metabolomes, lipidomes, and proteomes differed more with soil depth than treatments. Deep soil (>50 cm) had higher soil pH and calcium concentrations and higher levels of organic acids, bicarbonate, and triacylglycerides. By contrast, surface soil (0–5 cm) had higher concentrations of soil organic matter, organic carbon, oxidizable carbon, and total nitrogen. Surface soils also had higher amounts of sugars, sugar alcohols, phosphocholines, and proteins that reflect osmotic and oxidative stress responses. The lipidome was more responsive to perennial tall wheatgrass treatments compared to the metabolome or proteome, with a striking change in diacylglyceride composition. Permanganate oxidizable carbon was more consistently correlated to metabolites and proteins than soil organic and inorganic carbon and soil organic matter. This study reveals specific compounds that reflect differences in organic, inorganic, and oxidizable soil carbon fractions that are impacted by interactions between irrigation-supplied moisture and plant cover in calcareous soil profiles.

          IMPORTANCE

          Carbon is cycled through the air, plants, and belowground environment. Understanding soil carbon cycling in deep soil profiles will be important to mitigate climate change. Soil carbon cycling is impacted by water, plants, and soil microorganisms, in addition to soil mineralogy. Measuring biotic and abiotic soil properties provides a perspective of how soil microorganisms interact with the surrounding chemical environment. This study emphasizes the importance of considering biotic interactions with inorganic and oxidizable soil carbon in addition to total organic carbon in carbonate-containing soils for better informing soil carbon management decisions.

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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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            Cytoscape: a software environment for integrated models of biomolecular interaction networks.

            Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
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              The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

              SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draft
                Role: Data curationRole: Formal analysis
                Role: ConceptualizationRole: Methodology
                Role: Data curationRole: Formal analysisRole: Validation
                Role: Data curationRole: Formal analysisRole: Visualization
                Role: Data curationRole: Formal analysisRole: Methodology
                Role: Data curationRole: Methodology
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Project administration
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: Supervision
                Role: Funding acquisitionRole: SupervisionRole: Writing – review and editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – review and editing
                Role: Editor
                Journal
                mBio
                mBio
                mbio
                mBio
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2150-7511
                Sep-Oct 2023
                20 September 2023
                20 September 2023
                : 14
                : 5
                : e01758-23
                Affiliations
                [1 ] Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory; , Richland, Washington, USA
                [2 ] Department of Crop and Soil Sciences, Washington State University; , Pullman, Washington, USA
                [3 ] Department of Crop and Soil Sciences, Washington State University; , Prosser, Washington, USA
                [4 ] Department of Plant Science and Landscape Architecture, University of Connecticut; , Storrs, Connecticut, USA
                [5 ] Department of Agronomy, Iowa State University; , Ames, Iowa, USA
                University of Washington; , Seattle, Washington, USA
                Author notes
                Address correspondence to Janet K. Jansson, janet.jansson@ 123456pnnl.gov

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0002-5493-885X
                https://orcid.org/0000-0003-1586-2167
                https://orcid.org/0000-0002-5487-4315
                Article
                01758-23 mbio.01758-23
                10.1128/mbio.01758-23
                10653930
                37728606
                1b20e814-f19d-44eb-b81a-9b4284e2b9f7
                Copyright © 2023 Naasko et al.

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

                History
                : 14 July 2023
                : 25 July 2023
                Page count
                supplementary-material: 9, authors: 11, Figures: 5, Tables: 3, References: 107, Pages: 24, Words: 13925
                Funding
                Funded by: U.S. Department of Energy (DOE);
                Award Recipient :
                Categories
                Research Article
                environmental-microbiology, Environmental Microbiology
                Custom metadata
                September/October 2023

                Life sciences
                soil depth,multi-omics,calcareous soil,carbon storage,metaphenome,soil microbiome,carbon chemistry

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