0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Genomic signatures underlying the oogenesis of the ectoparasitic mite Varroa destructor on its new host Apis mellifera

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Graphical abstract

          Highlights

          • Genes related to the oogenesis of V. destructor on their new host species were studied.

          • A. cerana and A. mellifera K1 mites exhibited a very close genetic relationship at the genome level.

          • A total of 121 genes with nonsynonymous high- F ST SNPs were found between the two types of mites.

          • The transcriptomes of the two types of mites differentiated as early as 1 h post-infestation.

          • Nine genes carrying nonsynonymous high- F ST SNPs were associated with oogenesis on the new host.

          Abstract

          Introduction

          Host shift of parasites may have devastating effects on the novel hosts. One remarkable example is that of the ectoparasitic mite Varroa destructor, which has shifted its host from Eastern honey bees ( Apis cerana) to Western honey bees ( Apis mellifera) and posed a global threat to apiculture.

          Objectives

          To identify the genetic factors underlying the reproduction of host-shifted V. destructor on the new host.

          Methods

          Genome sequencing was conducted to construct the phylogeny of the host-shifted and non-shifted mites and to screen for genomic signatures that differentiated them. Artificial infestation experiment was conducted to compare the reproductive difference between the mites, and transcriptome sequencing was conducted to find differentially expressed genes (DEGs) during the reproduction process.

          Results

          The host-shifted and non-shifted V. destructor mites constituted two genetically distinct lineages, with 15,362 high- F ST SNPs identified between them. Oogenesis was upregulated in host-shifted mites on the new host A. mellifera relative to non-shifted mites. The transcriptomes of the host-shifted and non-shifted mites differed significantly as early as 1h post-infestation. The DEGs were associated with nine genes carrying nonsynonymous high- F ST SNPs, including mGluR2-like, Lamb2-like and Vitellogenin 6-like, which were also differentially expressed, and eIF4G, CG5800, Dap160 and Sas10, which were located in the center of the networks regulating the DEGs based on protein-protein interaction analysis.

          Conclusions

          The annotated functions of these genes were all associated with oogenesis. These genes appear to be the key genetic determinants of the oogenesis of host-shifted mites on the new host. Further study of these candidate genes will help elucidate the key mechanism underlying the success of host shifts of V. destructor.

          Related collections

          Most cited references50

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          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.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            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.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Fast and accurate short read alignment with Burrows–Wheeler transform

              Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
                Bookmark

                Author and article information

                Journal
                J Adv Res
                J Adv Res
                Journal of Advanced Research
                Elsevier
                2090-1232
                2090-1224
                04 May 2022
                February 2023
                04 May 2022
                : 44
                : 1-11
                Affiliations
                [a ]College of Animal Sciences, Zhejiang University, Hangzhou, China
                [b ]Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
                [c ]Institute for Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
                [d ]Swiss Bee Research Center, Agroscope, Bern, Switzerland
                [e ]Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
                [f ]Institute of Bee Health, Vetsuisse Faculty, University of Bern, Bern, Switzerland
                [g ]USDA-ARS Bee Research Laboratory, Beltsville, MD, USA
                [h ]Agricultural Research and Development Program, Central State University, Wilberforce, OH 45384, USA
                [i ]Department of Agricultural and Life Science, Central State University, Wilberforce, OH 45384, USA
                [j ]Department of Zoology and Entomology, University of Pretoria, Pretoria, South Africa
                Author notes
                [* ]Corresponding authors.
                [1]

                These authors contributed equally.

                [2]

                Lead contact.

                Article
                S2090-1232(22)00110-2
                10.1016/j.jare.2022.04.014
                9936524
                36725182
                8f0d3361-353a-4588-8f3d-bae8e5513e00
                © 2022 The Authors. Published by Elsevier B.V. on behalf of Cairo University.

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

                History
                : 16 January 2022
                : 21 April 2022
                : 22 April 2022
                Categories
                Original Article

                honey bee,varroa destructor,host shift,oogenesis,transcriptome,deg, differentially expressed gene,go, gene ontology,snp, single nucleotide polymorphism

                Comments

                Comment on this article