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Publikationstyp: Zeitschriftenaufsatz
Dokumenttyp: Übersichtsarbeit

Jahr: 2018

AutorInnen: Sudhagar, A; Kumar, G; El-Matbouli, M

Titel: Transcriptome Analysis Based on RNA-Seq in Understanding Pathogenic Mechanisms of Diseases and the Immune System of Fish: A Comprehensive Review.

Quelle: Int J Mol Sci. 2018; 19(1): 245.

Autor/innen der Vetmeduni Vienna:

El-Matbouli Mansour
Kumar Gokhlesh
Suthagar Arun Sudhagar

Beteiligte Vetmed-Organisationseinheiten
Universitätsklinik für Geflügel und Fische, Klinische Abteilung für Fischmedizin

Zugehörige(s) Projekt(e): In vivo induzierte Gene von Tetracapsuloides bryosalmonae

In recent years, with the advent of next-generation sequencing along with the development of various bioinformatics tools, RNA sequencing (RNA-Seq)-based transcriptome analysis has become much more affordable in the field of biological research. This technique has even opened up avenues to explore the transcriptome of non-model organisms for which a reference genome is not available. This has made fish health researchers march towards this technology to understand pathogenic processes and immune reactions in fish during the event of infection. Recent studies using this technology have altered and updated the previous understanding of many diseases in fish. RNA-Seq has been employed in the understanding of fish pathogens like bacteria, virus, parasites, and oomycetes. Also, it has been helpful in unraveling the immune mechanisms in fish. Additionally, RNA-Seq technology has made its way for future works, such as genetic linkage mapping, quantitative trait analysis, disease-resistant strain or broodstock selection, and the development of effective vaccines and therapies. Until now, there are no reviews that comprehensively summarize the studies which made use of RNA-Seq to explore the mechanisms of infection of pathogens and the defense strategies of fish hosts. This review aims to summarize the contemporary understanding and findings with regard to infectious pathogens and the immune system of fish that have been achieved through RNA-Seq technology.

Keywords Pubmed: Animals
Computational Biologymethods
Disease Susceptibility
Fish Diseasesetiology
Gene Expression Profiling
High-Throughput Nucleotide Sequencing
Host-Parasite Interactionsgeneticsimmunology
Host-Pathogen Interactionsgeneticsimmunology
Immune System
Sequence Analysis, RNA

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