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      Sour Orange Microbiome Is Affected by Infections of Plenodomus tracheiphilus Causal Agent of Citrus Mal Secco Disease

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      Agronomy
      MDPI AG

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          Abstract

          Mal secco is a severe vascular citrus disease (MSD) caused by the mitosporic fungus Plenodomus tracheiphilus (Pt). The pathogen enters through wounds on the above- and below-ground parts of the tree. The susceptible species sour orange (Citrus aurantium) is the most commonly used rootstock for lemon trees in Italy. In this study, sour orange seedlings were wound-inoculated with P. tracheiphilus in leaves or roots. Six months post-inoculation, the microbial communities of rhizosphere, endorhizosphere, and xylem endosphere samples from inoculated and healthy plants were analyzed by 16S rRNA and ITS (internal transcribed spacer) amplicon sequencing. The DNA of Pt was quantified by real-time PCR in the three compartments. According to our results, the endorhizosphere of root-inoculated plants showed the highest concentration of the pathogen DNA. Bacterial populations of potentially beneficial taxa (e.g., Pseudomonas and Burkholderia) were depleted in the rhizosphere of the inoculated plants. Infection through leaves and roots also produced a network-wide rewiring of microbial associations in sour orange roots. Overall, our findings revealed community-level changes induced by Pt infection in the sour orange root and xylem microbiome, providing further insights into the beneficial multispecies interactions in Citrus-associated microbial communities.

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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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            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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              MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

              The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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                Author and article information

                Contributors
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                Journal
                ABSGGL
                Agronomy
                Agronomy
                MDPI AG
                2073-4395
                March 2023
                February 24 2023
                : 13
                : 3
                : 654
                Article
                10.3390/agronomy13030654
                f7f63a3f-fe9c-4641-99f0-1008e2ce4101
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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