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      Transcriptome analysis of CpGV in midguts of type II resistant codling moth larvae and identification of contaminant infections by SNP mapping of RNA-Seq data

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      1 , 1 , 1 , , 1 ,
      Journal of Virology
      American Society for Microbiology
      Cydia pomonella, baculovirus, Lefavirales, resistance, in vivo infection, gene expression

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          ABSTRACT

          Various isolates of the Cydia pomonella granulovirus (CpGV) are used as insect pest control agents against codling moth (CM, Cydia pomonella L.), a predominant pest in apple orchards. Three different types (I–III) of dominantly inherited field resistance of CM larvae to CpGV have been recently identified. In this study, transcription of virus genes in midgut cells of type II-resistant CM larvae infected with different CpGV isolates, i.e., CpGV-M and CpGV-S (both prone to type II resistance) as well as CpGV-E2 (breaking type II resistance) was determined by strand-specific RNA sequencing (RNA-Seq) at an early infection stage (72 h post infection). Based on principal component analysis of read counts and the quantitative distribution of single nucleotide polymorphisms (SNPs) in the RNA-Seq data, a bioinformatics analysis pipeline was developed for an a posteriori identification of the infective agents. We report that (i) identification of infective agent is crucial, especially in in vivo infection experiments, when activation of covert virus infections is a possibility, (ii) no substantial difference between CpGV-M and CpGV-S transcription was found in type II-resistant CM larvae despite a different resistance mechanism, (iii) the transcription level of CpGV-M and CpGV-S was much lower than that of CpGV-E2, and (iv) orf59 ( sod), orf89 ( pif-6) , orf92 ( p18), and orf137 ( lef-10) were identified as significantly downregulated genes in resistance-prone isolates CpGV-M and CpGV-S. For type II resistance of CM larvae, we conclude that CpGV-M and CpGV-S are both able to enter midgut cells, but viral transcription is significantly impaired at an early stage of infection compared to the resistance-breaking isolate CpGV-E2.

          IMPORTANCE

          CpGV is a highly virulent pathogen of codling moth, and it has been developed into one of the most successful commercial baculovirus biocontrol agents for pome fruit production worldwide. The emergence of field resistance in codling moth to commercial CpGV products is a threat toward the sustainable use of CpGV. In recent years, different types of resistance (type I–III) were identified. For type II resistance, very little is known regarding the infection process. By studying the virus gene expression patterns of different CpGV isolates in midguts of type II-resistant codling moth larvae, we found that the type II resistance mechanism is most likely based on intracellular factors rather than a receptor component. By applying SNP mapping of the RNA-Seq data, we further emphasize the importance of identifying the infective agents in in vivo experiments when activation of a covert infection cannot be excluded.

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          Most cited references53

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.

            Next-generation sequencing technologies generate millions of short sequence reads, which are usually aligned to a reference genome. In many applications, the key information required for downstream analysis is the number of reads mapping to each genomic feature, for example to each exon or each gene. The process of counting reads is called read summarization. Read summarization is required for a great variety of genomic analyses but has so far received relatively little attention in the literature. We present featureCounts, a read summarization program suitable for counting reads generated from either RNA or genomic DNA sequencing experiments. featureCounts implements highly efficient chromosome hashing and feature blocking techniques. It is considerably faster than existing methods (by an order of magnitude for gene-level summarization) and requires far less computer memory. It works with either single or paired-end reads and provides a wide range of options appropriate for different sequencing applications. featureCounts is available under GNU General Public License as part of the Subread (http://subread.sourceforge.net) or Rsubread (http://www.bioconductor.org) software packages.
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              HISAT: a fast spliced aligner with low memory requirements.

              HISAT (hierarchical indexing for spliced alignment of transcripts) is a highly efficient system for aligning reads from RNA sequencing experiments. HISAT uses an indexing scheme based on the Burrows-Wheeler transform and the Ferragina-Manzini (FM) index, employing two types of indexes for alignment: a whole-genome FM index to anchor each alignment and numerous local FM indexes for very rapid extensions of these alignments. HISAT's hierarchical index for the human genome contains 48,000 local FM indexes, each representing a genomic region of ∼64,000 bp. Tests on real and simulated data sets showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method. Despite its large number of indexes, HISAT requires only 4.3 gigabytes of memory. HISAT supports genomes of any size, including those larger than 4 billion bases.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                J Virol
                J Virol
                jvi
                Journal of Virology
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                0022-538X
                1098-5514
                July 2024
                27 June 2024
                27 June 2024
                : 98
                : 7
                : e00537-24
                Affiliations
                [1 ]Julius Kühn Institute (JKI)—Federal Research Centre for Cultivated Plants, Institute for Biological Control; , Dossenheim, Germany
                Wageningen University & Research; , Wageningen, Netherlands
                Author notes
                Address correspondence to Jörg T. Wennmann, Joerg.Wennmann@ 123456julius-kuehn.de
                Address correspondence to Johannes A. Jehle, Johannes.Jehle@ 123456julius-kuehn.de

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-3060-8992
                https://orcid.org/0000-0002-8143-7743
                Article
                00537-24 jvi.00537-24
                10.1128/jvi.00537-24
                11265400
                38934597
                69f0d501-749a-42c0-9012-54a81852f251
                Copyright © 2024 Yang et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 25 March 2024
                : 22 May 2024
                Page count
                supplementary-material: 9, authors: 4, Figures: 7, Tables: 3, References: 53, Pages: 17, Words: 10053
                Funding
                Funded by: China Scholarship Council (CSC);
                Award ID: 201808410357
                Award Recipient :
                Categories
                Genome Replication and Regulation of Viral Gene Expression
                virology, Virology
                Custom metadata
                July 2024

                Microbiology & Virology
                cydia pomonella,baculovirus,lefavirales,resistance,in vivo infection,gene expression

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