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      Comparative transcriptome profiling of potato cultivars infected by late blight pathogen Phytophthora infestans: Diversity of quantitative and qualitative responses

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          Abstract

          The Estonia potato cultivar Ando has shown elevated field resistance to Phytophthora infestans, even after being widely grown for over 40 years. A comprehensive transcriptional analysis was performed using RNA-seq from plant leaf tissues to gain insight into the mechanisms activated for the defense after infection. Pathogen infection in Ando resulted in about 5927 differentially expressed genes (DEGs) compared to 1161 DEGs in the susceptible cultivar Arielle. The expression levels of genes related to plant disease resistance such as serine/threonine kinase activity, signal transduction, plant-pathogen interaction, endocytosis, autophagy, mitogen-activated protein kinase (MAPK), and others were significantly enriched in the upregulated DEGs in Ando, whereas in the susceptible cultivar, only the pathway related to phenylpropanoid biosynthesis was enriched in the upregulated DEGs. However, in response to infection, photosynthesis was deregulated in Ando. Multi-signaling pathways of the salicylic-jasmonic-ethylene biosynthesis pathway were also activated in response to Phytophthora infestans infection.

          Highlights

          • Potato cultivar Ando has maintained a long-lasting high-field resistance to Phytophthora infestans.

          • A comparative transcriptome analysis was performed to gain insights into its resistance mechanism.

          • Compared to a susceptible cultivar, about a five-fold greater number of differentially expressed genes were found in the highly resistant cultivar Ando.

          • Several disease-resistant pathways were significantly enriched in Ando and photosynthesis was deregulated.

          • Multi-signaling pathways of the salicylic-jasmonic-ethylene biosynthesis pathway were also activated in response to P. infestans infection at 72 h post-inoculation.

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

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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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              clusterProfiler: an R package for comparing biological themes among gene clusters.

              Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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                Author and article information

                Contributors
                Journal
                Genomics
                Genomics
                Genomics
                Academic Press
                0888-7543
                1089-8646
                1 September 2023
                September 2023
                : 115
                : 5
                : 110678
                Affiliations
                [a ]Chair of Crop Science and Plant Biology, Estonian University of Life Sciences, Kreutzwaldi 1, Tartu 51006, Estonia
                [b ]Centre of Estonian Rural Research and Knowledge, J. Aamisepa 1, 48309 Jõgeva, Estonia
                [c ]Estonian Academy of Sciences, Kohtu 6, Tallinn 10130, Estonia
                Author notes
                [* ]Corresponding author. collins.agho@ 123456student.emu.ee
                Article
                S0888-7543(23)00122-2 110678
                10.1016/j.ygeno.2023.110678
                10548088
                37406973
                748474eb-a8f5-4076-b39a-263daead2a9e
                © 2023 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 2 January 2023
                : 30 June 2023
                : 2 July 2023
                Categories
                Article

                Molecular biology
                potato,late blight resistance,rnaseq,transcriptome,differentially expressed genes

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