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      Skewing in Arabidopsis roots involves disparate environmental signaling pathways

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          Abstract

          Background

          Skewing root patterns provide key insights into root growth strategies and mechanisms that produce root architectures. Roots exhibit skewing and waving when grown on a tilted, impenetrable surface. The genetics guiding these morphologies have been examined, revealing that some Arabidopsis ecotypes skew and wave (e.g. WS), while others skew insignificantly but still wave (e.g. Col-0). The underlying molecular mechanisms of skewing and waving remain unclear. In this study, transcriptome data were derived from two Arabidopsis ecotypes, WS and Col-0, under three tilted growth conditions in order to identify candidate genes involved in skewing.

          Results

          This work identifies a number of genes that are likely involved in skewing, using growth conditions that differentially affect skewing and waving. Comparing the gene expression profiles of WS and Col-0 in different tilted growth conditions identified 11 candidate genes as potentially involved in the control of skewing. These 11 genes are involved in several different cellular processes, including sugar transport, salt signaling, cell wall organization, and hormone signaling.

          Conclusions

          This study identified 11 genes whose change in expression level is associated with root skewing behavior. These genes are involved in signaling and perception, rather than the physical restructuring of root. Future work is needed to elucidate the potential role of these candidate genes during root skewing.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12870-017-0975-9) contains supplementary material, which is available to authorized users.

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          Most cited references87

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          NIH Image to ImageJ: 25 years of image analysis.

          For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            Origins and Mechanisms of miRNAs and siRNAs.

            Over the last decade, approximately 20-30 nucleotide RNA molecules have emerged as critical regulators in the expression and function of eukaryotic genomes. Two primary categories of these small RNAs--short interfering RNAs (siRNAs) and microRNAs (miRNAs)--act in both somatic and germline lineages in a broad range of eukaryotic species to regulate endogenous genes and to defend the genome from invasive nucleic acids. Recent advances have revealed unexpected diversity in their biogenesis pathways and the regulatory mechanisms that they access. Our understanding of siRNA- and miRNA-based regulation has direct implications for fundamental biology as well as disease etiology and treatment.
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              GENEVESTIGATOR. Arabidopsis microarray database and analysis toolbox.

              High-throughput gene expression analysis has become a frequent and powerful research tool in biology. At present, however, few software applications have been developed for biologists to query large microarray gene expression databases using a Web-browser interface. We present GENEVESTIGATOR, a database and Web-browser data mining interface for Affymetrix GeneChip data. Users can query the database to retrieve the expression patterns of individual genes throughout chosen environmental conditions, growth stages, or organs. Reversely, mining tools allow users to identify genes specifically expressed during selected stresses, growth stages, or in particular organs. Using GENEVESTIGATOR, the gene expression profiles of more than 22,000 Arabidopsis genes can be obtained, including those of 10,600 currently uncharacterized genes. The objective of this software application is to direct gene functional discovery and design of new experiments by providing plant biologists with contextual information on the expression of genes. The database and analysis toolbox is available as a community resource at https://www.genevestigator.ethz.ch.
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                Author and article information

                Contributors
                e.schultz@ufl.edu
                zupanska@ufl.edu
                nsng@ufl.edu
                alp@ufl.edu
                robferl@ufl.edu
                Journal
                BMC Plant Biol
                BMC Plant Biol
                BMC Plant Biology
                BioMed Central (London )
                1471-2229
                1 February 2017
                1 February 2017
                2017
                : 17
                : 31
                Affiliations
                [1 ]ISNI 0000 0004 1936 8091, GRID grid.15276.37, Department of Horticultural Sciences, Program in Plant Molecular and Cellular Biology, , University of Florida, ; Gainesville, FL 32611 USA
                [2 ]ISNI 0000 0004 1936 8091, GRID grid.15276.37, Interdisciplinary Center for Biotechnology Research, , University of Florida, ; Gainesville, FL 32610 USA
                [3 ]ISNI 0000 0001 2355 7002, GRID grid.4367.6, Present address: Department of Biology, , Washington University in St. Louis, ; St. Louis, MO 63130 USA
                Article
                975
                10.1186/s12870-017-0975-9
                5286820
                28143395
                eb796efa-07b0-4752-b999-9a706c0a5dae
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 15 June 2016
                : 12 January 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000104, National Aeronautics and Space Administration;
                Award ID: NNX12AN69G
                Award ID: NNX07AH27G
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100005735, Florida Space Grant Consortium;
                Award ID: NNX15AI10H
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Plant science & Botany
                transcriptomics,root skewing,root waving,morphometrics,microarray,arabidopsis thaliana

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