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      Conserved oligomeric Golgi (COG) complex genes functioning in defense are expressed in root cells undergoing a defense response to a pathogenic infection and exhibit regulation my MAPKs

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          Abstract

          The conserved oligomeric Golgi (COG) complex maintains correct Golgi structure and function during retrograde trafficking. Glycine max has 2 paralogs of each COG gene, with one paralog of each gene family having a defense function to the parasitic nematode Heterodera glycines. Experiments presented here show G. max COG paralogs functioning in defense are expressed specifically in the root cells (syncytia) undergoing the defense response. The expressed defense COG gene COG7-2-b is an alternate splice variant, indicating specific COG variants are important to defense. Transcriptomic experiments examining RNA isolated from COG overexpressing and RNAi roots show some COG genes co-regulate the expression of other COG complex genes. Examining signaling events responsible for COG expression, transcriptomic experiments probing MAPK overexpressing roots show their expression influences the relative transcript abundance of COG genes as compared to controls. COG complex paralogs are shown to be found in plants that are agriculturally relevant on a world-wide scale including Manihot esculenta, Zea mays, Oryza sativa, Triticum aestivum, Hordeum vulgare, S orghum bicolor, Brassica rapa, Elaes guineensis and Saccharum officinalis and in additional crops significant to U.S. agriculture including Beta vulgaris, Solanum tuberosum, Solanum lycopersicum and Gossypium hirsutum. The analyses provide basic information on COG complex biology, including the coregulation of some COG genes and that MAPKs functioning in defense influence their expression. Furthermore, it appears in G. max and likely other crops that some level of neofunctionalization of the duplicated genes is occurring. The analysis has identified important avenues for future research broadly in plants.

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          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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            Basic local alignment search tool.

            A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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              Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness

              Signaling through the Ror2 receptor tyrosine kinase promotes invadopodia formation for tumor invasion. Here, we identify intraflagellar transport 20 (IFT20) as a new target of this signaling in tumors that lack primary cilia, and find that IFT20 mediates the ability of Ror2 signaling to induce the invasiveness of these tumors. We also find that IFT20 regulates the nucleation of Golgi-derived microtubules by affecting the GM130-AKAP450 complex, which promotes Golgi ribbon formation in achieving polarized secretion for cell migration and invasion. Furthermore, IFT20 promotes the efficiency of transport through the Golgi complex. These findings shed new insights into how Ror2 signaling promotes tumor invasiveness, and also advance the understanding of how Golgi structure and transport can be regulated.
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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 draft
                Role: Data curationRole: Formal analysisRole: MethodologyRole: Validation
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SupervisionRole: ValidationRole: Visualization
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Validation
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Validation
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: SupervisionRole: Validation
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                26 August 2021
                2021
                : 16
                : 8
                : e0256472
                Affiliations
                [1 ] USDA ARS NEA BARC Molecular Plant Pathology Laboratory, Beltsville, MD, United States of America
                [2 ] Department of Mathematics Computer Science, Texas Woman’s University, Denton, TX, United States of America
                [3 ] Department of Computer and Information Sciences, Towson University, Towson, MD, United States of America
                [4 ] Department of Entomology and Plant Pathology, Auburn University, Auburn, AL, United States of America
                [5 ] Department of Biological Sciences, Mississippi State University, Mississippi, MS, United States of America
                Texas Tech University, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-7167-4032
                https://orcid.org/0000-0003-4985-0607
                Article
                PONE-D-21-15863
                10.1371/journal.pone.0256472
                8389442
                34437620
                77539353-1790-48b9-bb01-b2d25f9524dc

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 13 May 2021
                : 6 August 2021
                Page count
                Figures: 5, Tables: 3, Pages: 30
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Gene Expression
                Physical Sciences
                Chemistry
                Chemical Compounds
                Organic Compounds
                Amino Acids
                Aliphatic Amino Acids
                Glycine
                Physical Sciences
                Chemistry
                Organic Chemistry
                Organic Compounds
                Amino Acids
                Aliphatic Amino Acids
                Glycine
                Biology and Life Sciences
                Biochemistry
                Proteins
                Amino Acids
                Aliphatic Amino Acids
                Glycine
                Biology and life sciences
                Molecular biology
                Molecular biology techniques
                Molecular biology assays and analysis techniques
                Nucleic acid analysis
                RNA analysis
                Research and analysis methods
                Molecular biology techniques
                Molecular biology assays and analysis techniques
                Nucleic acid analysis
                RNA analysis
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Model Organisms
                Arabidopsis Thaliana
                Research and Analysis Methods
                Model Organisms
                Arabidopsis Thaliana
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Brassica
                Arabidopsis Thaliana
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Plant and Algal Models
                Arabidopsis Thaliana
                Biology and life sciences
                Genetics
                Epigenetics
                RNA interference
                Biology and life sciences
                Genetics
                Gene expression
                RNA interference
                Biology and life sciences
                Genetics
                Genetic interference
                RNA interference
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                RNA interference
                Biology and Life Sciences
                Genetics
                Genomics
                Biology and Life Sciences
                Species Interactions
                Parasitism
                Biology and Life Sciences
                Ecology
                Community Ecology
                Trophic Interactions
                Parasitism
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Trophic Interactions
                Parasitism
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Model Organisms
                Maize
                Research and Analysis Methods
                Model Organisms
                Maize
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Grasses
                Maize
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Plant and Algal Models
                Maize
                Custom metadata
                All relevant data is available in the manuscript and its S1S19 Tables.

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