title: Application of Functional Genomics for Bovine Respiratory Disease Diagnostics.
abstract: Bovine respiratory disease (BRD) is the most common economically important disease affecting cattle. For developing accurate diagnostics that can predict disease susceptibility/resistance and stratification, it is necessary to identify the molecular mechanisms that underlie BRD. To study the complex interactions among the bovine host and the multitude of viral and bacterial pathogens, as well as the environmental factors associated with BRD etiology, genome-scale high-throughput functional genomics methods such as microarrays, RNA-seq, and proteomics are helpful. In this review, we summarize the progress made in our understanding of BRD using functional genomics approaches. We also discuss some of the available bioinformatics resources for analyzing high-throughput data, in the context of biological pathways and molecular interactions. Although resources for studying host response to infection are avail-able, the corresponding information is lacking for majority of BRD pathogens, impeding progress in identifying diagnostic signatures for BRD using functional genomics approaches.
authors.affiliation: Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, MS, USA.
authors.forename: Aswathy N
authors.initials: AN
authors.lastname: Rai
authors.affiliation: Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, MS, USA.
authors.forename: William B
authors.initials: WB
authors.lastname: Epperson
authors.affiliation: Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, MS, USA. ; Institute for Genomics, Biocomputing, and Biotechnology, Mississippi State University, MS, USA.
authors.forename: Bindu
authors.initials: B
authors.lastname: Nanduri
keywords: AgBase; bovine genome atlas; bovine respiratory disease (BRD); functional genomics; host–pathogen interaction database (HPIDB)