Next-generation sequencing in veterinary medicine: how can the massive amount of information arising from high-throughput technologies improve diagnosis, control, and management of infectious diseases?

作者: Steven Van Borm , Sándor Belák , Graham Freimanis , Alice Fusaro , Fredrik Granberg

DOI: 10.1007/978-1-4939-2004-4_30

关键词:

摘要: The development of high-throughput molecular technologies and associated bioinformatics has dramatically changed the capacities scientists to produce, handle, analyze large amounts genomic, transcriptomic, proteomic data. A clear example this step-change is represented by amount DNA sequence data that can be now produced using next-generation sequencing (NGS) platforms. Similarly, recent improvements in protein peptide separation efficiencies highly accurate mass spectrometry have promoted identification quantification proteins a given sample. These advancements biotechnology increasingly been applied study animal infectious diseases are beginning revolutionize way biological evolutionary processes studied at level. Studies demonstrated value NGS for characterization, ranging from metagenomic characterization unknown pathogens or microbial communities epidemiology evolution viral quasispecies. Moreover, allow detailed studies host-pathogen interactions level their genomes (genomics), transcriptomes (transcriptomics), proteomes (proteomics). Ultimately, interaction between pathogen host networks questioned analytically integrating these levels (integrative OMICS systems biology). application platforms fields typical low-cost per information content revolutionized resolution with which studied. aim chapter provide current prospective view on opportunities challenges massive parallel veterinary medicine, particular focus applications potential impact disease control management.

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