News in livestock research — use of Omics -technologies to study the microbiota in the gastrointestinal tract of farm animals
Author(s) -
Simon Deusch,
Bruno Tilocca,
Amélia CamarinhaSilva,
Jana Seifert
Publication year - 2014
Publication title -
computational and structural biotechnology journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.908
H-Index - 45
ISSN - 2001-0370
DOI - 10.1016/j.csbj.2014.12.005
Subject(s) - livestock , omics , gastrointestinal tract , microbiology and biotechnology , biology , computational biology , bioinformatics , ecology , biochemistry
Technical progress in the field of next-generation sequencing, mass spectrometry and bioinformatics facilitates the study of highly complex biological samples such as taxonomic and functional characterization of microbial communities that virtually colonize all present ecological niches. Compared to the structural information obtained by metagenomic analyses, metaproteomic approaches provide, in addition, functional data about the investigated microbiota. In general, integration of the main Omics-technologies (genomics, transcriptomics, proteomics and metabolomics) in live science promises highly detailed information about the specific research object and helps to understand molecular changes in response to internal and external environmental factors. The microbial communities settled in the mammalian gastrointestinal tract are essential for the host metabolism and have a major impact on its physiology and health. The microbiotas of livestock like chicken, pig and ruminants are becoming a focus of interest for veterinaries, animal nutritionists and microbiologists. While pig is more often used as an animal model for human-related studies, the rumen microbiota harbors a diversity of enzymes converting complex carbohydrates into monomers which bears high potential for biotechnological applications. This review will provide a general overview about the recent Omics-based research of the microbiota in livestock including its major findings. Differences concerning the results of pre-Omics-approaches in livestock as well as the perspectives of this relatively new Omics-platform will be highlighted.
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