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      Aphid gene expression following polerovirus acquisition is host species dependent

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          Abstract

          Upon acquisition of persistent circulative viruses such as poleroviruses, the virus particles transcytose through membrane barriers of aphids at the midgut and salivary glands via hemolymph. Such intricate interactions can influence aphid behavior and fitness and induce associated gene expression in viruliferous aphids. Differential gene expression can be evaluated by omics approaches such as transcriptomics. Previously conducted aphid transcriptome studies used only one host species as the source of virus inoculum. Viruses typically have alternate hosts. Hence, it is not clear how alternate hosts infected with the same virus isolate alter gene expression in viruliferous vectors. To address the question, this study conducted a transcriptome analysis of viruliferous aphids that acquired the virus from different host species. A polerovirus, cotton leafroll dwarf virus (CLRDV), which induced gene expression in the cotton aphid, Aphis gossypii Glover, was assessed using four alternate hosts, viz., cotton, hibiscus, okra, and prickly sida. Among a total of 2,942 differentially expressed genes (DEGs), 750, 310, 1,193, and 689 genes were identified in A. gossypii that acquired CLRDV from infected cotton, hibiscus, okra, and prickly sida, respectively, compared with non-viruliferous aphids that developed on non-infected hosts. A higher proportion of aphid genes were overexpressed than underexpressed following CLRDV acquisition from cotton, hibiscus, and prickly sida. In contrast, more aphid genes were underexpressed than overexpressed following CLRDV acquisition from okra plants. Only four common DEGs ( heat shock protein, juvenile hormone acid O-methyltransferase, and two unannotated genes) were identified among viruliferous aphids from four alternate hosts. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotations indicated that the acquisition of CLRDV induced DEGs in aphids associated with virus infection, signal transduction, immune systems, and fitness. However, these induced changes were not consistent across four alternate hosts. These data indicate that alternate hosts could differentially influence gene expression in aphids and presumably aphid behavior and fitness despite being infected with the same virus isolate.

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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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            Trimmomatic: a flexible trimmer for Illumina sequence data

            Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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              Fast gapped-read alignment with Bowtie 2.

              As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2424329Role: Role: Role: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2395609Role: Role: Role: Role: Role: Role:
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                URI : https://loop.frontiersin.org/people/1261899Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1643193Role: Role: Role:
                URI : https://loop.frontiersin.org/people/370970Role: Role: Role: Role: Role: Role: Role: Role:
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                08 March 2024
                2024
                : 15
                : 1341781
                Affiliations
                [1] 1Department of Entomology, University of Georgia , Griffin, GA, United States
                [2] 2Department of Entomology, University of Georgia , Athens, GA, United States
                [3] 3Department of Entomology, University of Georgia , Tifton, GA, United States
                [4] 4Department of Plant Pathology, University of Georgia , Tifton, GA, United States
                [5] 5Department of Entomology and Plant Pathology, Auburn University , Auburn, AL, United States
                Author notes

                Edited by: Shengli Jing, Xinyang Normal University, China

                Reviewed by: Saumik Basu, Washington State University, United States

                Quentin Chesnais, Institut National de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE), France

                *Correspondence: Rajagopalbabu Srinivasan, babusri@ 123456uga.edu
                Article
                10.3389/fpls.2024.1341781
                10957536
                38525153
                55dc3ad3-f415-4074-bd7b-f5cab14d2793
                Copyright © 2024 Pandey, Catto, Roberts, Bag, Jacobson and Srinivasan

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 20 November 2023
                : 19 February 2024
                Page count
                Figures: 8, Tables: 8, Equations: 0, References: 113, Pages: 21, Words: 10586
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This project was financially supported by the Georgia Commodity Commission for Cotton awarded to Georgia and by Agricultural Research Service, U.S. Department of Agriculture, under Agreement No. 58-6010-0-011 awarded to Alabama.
                Categories
                Plant Science
                Original Research
                Custom metadata
                Plant Bioinformatics

                Plant science & Botany
                aphis gossypii,cotton leafroll dwarf virus,acquisition,alternate hosts,vector-virus interactions

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