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      Differentially expressed transcripts of Tetracapsuloides bryosalmonae (Cnidaria) between carrier and dead-end hosts involved in key biological processes: novel insights from a coupled approach of FACS and RNA sequencing

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          Abstract

          Tetracapsuloides bryosalmonae is a malacosporean endoparasite that infects a wide range of salmonids and causes proliferative kidney disease (PKD). Brown trout serves as a carrier host whereas rainbow trout represents a dead-end host. We thus asked if the parasite adapts to the different hosts by changing molecular mechanisms. We used fluorescent activated cell sorting (FACS) to isolate parasites from the kidney of brown trout and rainbow trout following experimental infection with T. bryosalmonae. The sorted parasite cells were then subjected to RNA sequencing. By this approach, we identified 1120 parasite transcripts that were expressed differentially in parasites derived from brown trout and rainbow trout. We found elevated levels of transcripts related to cytoskeleton organisation, cell polarity, peptidyl-serine phosphorylation in parasites sorted from brown trout. In contrast, transcripts related to translation, ribonucleoprotein complex biogenesis and subunit organisation, non-membrane bounded organelle assembly, regulation of protein catabolic process and protein refolding were upregulated in rainbow trout-derived parasites. These findings show distinct molecular adaptations of parasites, which may underlie their distinct outcomes in the two hosts. Moreover, the identification of these differentially expressed transcripts may enable the identification of novel drug targets that may be exploited as treatment against T. bryosalmonae. We here also describe for the first time how FACS based isolation of T. bryosalmonae cells from infected kidney of fish fosters research and allows to define differentially expressed parasite transcripts in carrier and dead-end fish hosts.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13567-023-01185-7.

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          clusterProfiler 4.0: A universal enrichment tool for interpreting omics data

          Summary Functional enrichment analysis is pivotal for interpreting high-throughput omics data in life science. It is crucial for this type of tool to use the latest annotation databases for as many organisms as possible. To meet these requirements, we present here an updated version of our popular Bioconductor package, clusterProfiler 4.0. This package has been enhanced considerably compared with its original version published 9 years ago. The new version provides a universal interface for functional enrichment analysis in thousands of organisms based on internally supported ontologies and pathways as well as annotation data provided by users or derived from online databases. It also extends the dplyr and ggplot2 packages to offer tidy interfaces for data operation and visualization. Other new features include gene set enrichment analysis and comparison of enrichment results from multiple gene lists. We anticipate that clusterProfiler 4.0 will be applied to a wide range of scenarios across diverse organisms.
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            Germline P granules are liquid droplets that localize by controlled dissolution/condensation.

            In sexually reproducing organisms, embryos specify germ cells, which ultimately generate sperm and eggs. In Caenorhabditis elegans, the first germ cell is established when RNA and protein-rich P granules localize to the posterior of the one-cell embryo. Localization of P granules and their physical nature remain poorly understood. Here we show that P granules exhibit liquid-like behaviors, including fusion, dripping, and wetting, which we used to estimate their viscosity and surface tension. As with other liquids, P granules rapidly dissolved and condensed. Localization occurred by a biased increase in P granule condensation at the posterior. This process reflects a classic phase transition, in which polarity proteins vary the condensation point across the cell. Such phase transitions may represent a fundamental physicochemical mechanism for structuring the cytoplasm.
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              InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams

              Background Set comparisons permeate a large number of data analysis workflows, in particular workflows in biological sciences. Venn diagrams are frequently employed for such analysis but current tools are limited. Results We have developed InteractiVenn, a more flexible tool for interacting with Venn diagrams including up to six sets. It offers a clean interface for Venn diagram construction and enables analysis of set unions while preserving the shape of the diagram. Set unions are useful to reveal differences and similarities among sets and may be guided in our tool by a tree or by a list of set unions. The tool also allows obtaining subsets’ elements, saving and loading sets for further analyses, and exporting the diagram in vector and image formats. InteractiVenn has been used to analyze two biological datasets, but it may serve set analysis in a broad range of domains. Conclusions InteractiVenn allows set unions in Venn diagrams to be explored thoroughly, by consequence extending the ability to analyze combinations of sets with additional observations, yielded by novel interactions between joined sets. InteractiVenn is freely available online at: www.interactivenn.net.
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                Author and article information

                Contributors
                Gokhlesh.Kumar@vetmeduni.ac.at , gokhleshkumar05@gmail.com
                Journal
                Vet Res
                Vet Res
                Veterinary Research
                BioMed Central (London )
                0928-4249
                1297-9716
                26 June 2023
                26 June 2023
                2023
                : 54
                : 51
                Affiliations
                [1 ]GRID grid.6583.8, ISNI 0000 0000 9686 6466, Division of Fish Health, , University of Veterinary Medicine Vienna, ; Vienna, Austria
                [2 ]GRID grid.462189.0, ISNI 0000 0001 0707 4019, Karwar Regional Station of Indian Council of Agricultural Research, , Central Marine Fisheries Research Institute, ; Karwar, Karnataka India
                [3 ]GRID grid.6583.8, ISNI 0000 0000 9686 6466, VetCore Facility for Research, , University of Veterinary Medicine Vienna, ; Vienna, Austria
                [4 ]GRID grid.6583.8, ISNI 0000 0000 9686 6466, Institute of Pharmacology and Toxicology, , University of Veterinary Medicine Vienna, ; Vienna, Austria
                [5 ]GRID grid.507995.7, ISNI 0000 0004 6073 8904, School of Biotechnology, , Badr University in Cairo, ; Badr City, Cairo, Egypt
                Author notes

                Communicated by Frank Katzer.

                Author information
                http://orcid.org/0000-0002-1958-2579
                Article
                1185
                10.1186/s13567-023-01185-7
                10291810
                03f981d4-d37d-4867-901c-f893955f311b
                © The Author(s) 2023

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 23 January 2023
                : 29 May 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002428, Austrian Science Fund;
                Award ID: P 30981-B32
                Award Recipient :
                Funded by: Austrian Science Fund (FWF)
                Categories
                Research Article
                Custom metadata
                © L’Institut National de Recherche en Agriculture, Alimentation et Environnement (INRAE) 2023

                Veterinary medicine
                proliferative kidney disease,malacosporean endoparasite,differential transcript expression,brown trout,rainbow trout

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