Use of Integrative Interactomics for Improvement of Farm Animal Health and Welfare: An Example with Fescue Toxicosis.
Toxins (Basel)
; 12(10)2020 10 01.
Article
in English
| MEDLINE | ID: covidwho-1305799
ABSTRACT
Rapid scientific advances are increasing our understanding of the way complex biological interactions integrate to maintain homeostatic balance and how seemingly small, localized perturbations can lead to systemic effects. The 'omics movement, alongside increased throughput resulting from statistical and computational advances, has transformed our understanding of disease mechanisms and the multi-dimensional interaction between environmental stressors and host physiology through data integration into multi-dimensional analyses, i.e., integrative interactomics. This review focuses on the use of high-throughput technologies in farm animal research, including health- and toxicology-related papers. Although limited, we highlight recent animal agriculture-centered reports from the integrative multi-'omics movement. We provide an example with fescue toxicosis, an economically costly disease affecting grazing livestock, and describe how integrative interactomics can be applied to a disease with a complex pathophysiology in the pursuit of novel treatment and management approaches. We outline how 'omics techniques have been used thus far to understand fescue toxicosis pathophysiology, lay out a framework for the fescue toxicosis integrome, identify some challenges we foresee, and offer possible means for addressing these challenges. Finally, we briefly discuss how the example with fescue toxicosis could be used for other agriculturally important animal health and welfare problems.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Toxicology
/
Lolium
/
Ergotism
/
Environmental Exposure
/
Ergot Alkaloids
/
Epichloe
/
Metabolomics
/
Animal Feed
Type of study:
Reviews
Limits:
Animals
Language:
English
Year:
2020
Document Type:
Article
Affiliation country:
Toxins12100633
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