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      Comparative Transcriptome Analysis of Pinus densiflora Following Inoculation with Pathogenic ( Bursaphelenchus xylophilus) or Non-pathogenic Nematodes ( B. thailandae)

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          Abstract

          Pinus densiflora (Korean red pine) is a species of evergreen conifer that is distributed in Korea, Japan, and China, and of economic, scientific, and ecological importance. Korean red pines suffer from pine wilt disease (PWD) caused by Bursaphelenchus xylophilus, the pinewood nematode (PWN). To facilitate diagnosis and prevention of PWD, studies have been conducted on the PWN and its beetle vectors. However, transcriptional responses of P. densiflora to PWN have received less attention. Here, we inoculated Korean red pines with pathogenic B. xylophilus, or non-pathogenic B. thailandae, and collected cambium layers 4 weeks after inoculation for RNA sequencing analysis. We obtained 72,864 unigenes with an average length of 869 bp (N50 = 1,403) from a Trinity assembly, and identified 991 differentially expressed genes (DEGs). Biological processes related to phenylpropanoid biosynthesis, flavonoid biosynthesis, oxidation–reduction, and plant-type hypersensitive response were significantly enriched in DEGs found in trees inoculated with B. xylophilus. Several transcription factor families were found to be involved in the response to B. xylophilus inoculation. Our study provides the first evidence of transcriptomic differences in Korean red pines inoculated with B. xylophilus and B. thailandae, and might facilitate early diagnosis of PWD and selection of PWD-tolerant Korean red pines.

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          Small-sample estimation of negative binomial dispersion, with applications to SAGE data.

          We derive a quantile-adjusted conditional maximum likelihood estimator for the dispersion parameter of the negative binomial distribution and compare its performance, in terms of bias, to various other methods. Our estimation scheme outperforms all other methods in very small samples, typical of those from serial analysis of gene expression studies, the motivating data for this study. The impact of dispersion estimation on hypothesis testing is studied. We derive an "exact" test that outperforms the standard approximate asymptotic tests.
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            Innate immunity in plants and animals: striking similarities and obvious differences.

            Innate immunity constitutes the first line of defense against attempted microbial invasion, and it is a well-described phenomenon in vertebrates and insects. Recent pioneering work has revealed striking similarities between the molecular organization of animal and plant systems for nonself recognition and anti-microbial defense. Like animals, plants have acquired the ability to recognize invariant pathogen-associated molecular patterns (PAMPs) that are characteristic of microbial organisms but which are not found in potential host plants. Such structures, also termed general elicitors of plant defense, are often indispensable for the microbial lifestyle and, upon receptor-mediated perception, inevitably betray the invader to the plant's surveillance system. Remarkable similarities have been uncovered in the molecular mode of PAMP perception in animals and plants, including the discovery of plant receptors resembling mammalian Toll-like receptors or cytoplasmic nucleotide-binding oligomerization domain leucine-rich repeat proteins. Moreover, molecular building blocks of PAMP-induced signaling cascades leading to the transcriptional activation of immune response genes are shared among the two kingdoms. In particular, nitric oxide as well as mitogen-activated protein kinase cascades have been implicated in triggering innate immune responses, part of which is the production of antimicrobial compounds. In addition to PAMP-mediated pathogen defense, disease resistance programs are often initiated upon plant-cultivar-specific recognition of microbial race-specific virulence factors, a recognition specificity that is not known from animals.
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              Regulation of disease resistance pathways by AP2/ERF transcription factors.

              The AP2 transcription factor family, found only in plants, includes several genes that encode proteins involved in the regulation of disease resistance pathways. These genes are members of the ethylene response factor (ERF) subfamily of AP2 transcription factor genes, which have only a single DNA-binding domain and are distinct from members of the dehydration-responsive element binding (DREB) subfamily. Some ERF subgroups are enriched in such genes, suggesting that they have conserved functions that are required for the regulation of disease resistance pathways. The expression of several ERF genes is regulated by plant hormones, such as jasmonic acid, salicylic acid and ethylene, as well as by pathogen challenge. A phylogenetic overview of these genes, with a focus on Arabidopsis, rice and tomato, suggests that despite broad conservation of their function in monocots and dicots, some structural elements are specialized within each of these two lineages.
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                Author and article information

                Contributors
                shim.donghwan@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                21 August 2019
                21 August 2019
                2019
                : 9
                : 12180
                Affiliations
                [1 ]ISNI 0000 0000 9151 8497, GRID grid.418977.4, Department of Forest Bio-Resources, National Institute of Forest Science, ; Suwon, 16631, Republic of Korea
                [2 ]ISNI 0000 0000 9151 8497, GRID grid.418977.4, Division of Forest Insect Pests and Diseases, National Institute of Forest Science, ; Seoul, 02455, Republic of Korea
                [3 ]ISNI 0000 0004 0470 5964, GRID grid.256753.0, Ilsong Institute of Life Science, , Hallym University, ; Anyang, Republic of Korea
                Article
                48660
                10.1038/s41598-019-48660-w
                6704138
                75bf96f0-844f-4c74-98bc-36072b683a7e
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 November 2018
                : 6 August 2019
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                © The Author(s) 2019

                Uncategorized
                biotic,plant molecular biology
                Uncategorized
                biotic, plant molecular biology

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