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      Reproducible growth of Brachypodium in EcoFAB 2.0 reveals that nitrogen form and starvation modulate root exudation

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          Abstract

          Understanding plant-microbe interactions requires examination of root exudation under nutrient stress using standardized and reproducible experimental systems. We grew Brachypodium distachyon hydroponically in fabricated ecosystem devices (EcoFAB 2.0) under three inorganic nitrogen forms (nitrate, ammonium, and ammonium nitrate), followed by nitrogen starvation. Analyses of exudates with liquid chromatography–tandem mass spectrometry, biomass, medium pH, and nitrogen uptake showed EcoFAB 2.0’s low intratreatment data variability. Furthermore, the three inorganic nitrogen forms caused differential exudation, generalized by abundant amino acids–peptides and alkaloids. Comparatively, nitrogen deficiency decreased nitrogen-containing compounds but increased shikimates-phenylpropanoids. Subsequent bioassays with two shikimates-phenylpropanoids (shikimic and p-coumaric acids) on soil bacteria or Brachypodium seedlings revealed their distinct capacity to regulate both bacterial and plant growth. Our results suggest that (i) Brachypodium alters exudation in response to nitrogen status, which can affect rhizobacterial growth, and (ii) EcoFAB 2.0 is a valuable standardized plant research tool.

          Abstract

          EcoFAB 2.0, a fabricated ecosystem device, has low data variability in studies of plant traits.

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          Most cited references73

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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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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              UpSetR: an R package for the visualization of intersecting sets and their properties

              Abstract Motivation: Venn and Euler diagrams are a popular yet inadequate solution for quantitative visualization of set intersections. A scalable alternative to Venn and Euler diagrams for visualizing intersecting sets and their properties is needed. Results: We developed UpSetR, an open source R package that employs a scalable matrix-based visualization to show intersections of sets, their size, and other properties. Availability and implementation: UpSetR is available at https://github.com/hms-dbmi/UpSetR/ and released under the MIT License. A Shiny app is available at https://gehlenborglab.shinyapps.io/upsetr/. Contact: nils@hms.harvard.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing - original draft
                Role: Data curationRole: Formal analysisRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: InvestigationRole: Methodology
                Role: ConceptualizationRole: Writing - review & editing
                Role: ConceptualizationRole: Writing - review & editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: Writing - original draftRole: Writing - review & editing
                Role: Formal analysis
                Role: Formal analysisRole: InvestigationRole: Validation
                Role: InvestigationRole: Resources
                Role: Data curationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing - original draft
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing - review & editing
                Journal
                Sci Adv
                Sci Adv
                sciadv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                05 January 2024
                03 January 2024
                : 10
                : 1
                : eadg7888
                Affiliations
                [ 1 ]Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
                [ 2 ]The DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
                [ 3 ]Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
                [ 4 ]Department of Agronomy, Iowa State University, Ames, IA 50011, USA.
                [ 5 ]Wageningen University & Research, Wageningen, Netherlands.
                Author notes
                [* ]Corresponding author. Email: trnorthen@ 123456lbl.gov
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-7890-4593
                https://orcid.org/0000-0003-1368-3958
                https://orcid.org/0000-0001-5903-1870
                https://orcid.org/0000-0002-1893-1888
                https://orcid.org/0000-0003-1586-2167
                https://orcid.org/0000-0002-5939-1638
                https://orcid.org/0009-0009-3236-0637
                https://orcid.org/0009-0003-0535-0480
                https://orcid.org/0000-0002-0480-8707
                https://orcid.org/0000-0003-2885-1248
                https://orcid.org/0000-0001-8404-3259
                Article
                adg7888
                10.1126/sciadv.adg7888
                10776018
                38170767
                f44b6d3f-f24d-4ae5-8d0e-6d68adacef69
                Copyright © 2024 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 26 January 2023
                : 20 November 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000015, U.S. Department of Energy;
                Award ID: DE-SC0021234
                Funded by: FundRef http://dx.doi.org/10.13039/100000015, U.S. Department of Energy;
                Award ID: Contract DE-AC02-05CH11231 to Lawrence Berkeley National Laboratory
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Microbiology
                Plant Sciences
                Plant Sciences
                Custom metadata
                Jeanelle Ebreo

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