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Combining quantitative trait loci and heterogeneous microarray data analyses reveals putative candidate pathways affecting mastitis in cattle
Author(s) -
LewandowskaSabat A. M.,
Günther J.,
Seyfert H. M.,
Olsaker I.
Publication year - 2012
Publication title -
animal genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 81
eISSN - 1365-2052
pISSN - 0268-9146
DOI - 10.1111/j.1365-2052.2012.02342.x
Subject(s) - biology , mastitis , microarray , transcriptome , computational biology , identification (biology) , microarray analysis techniques , candidate gene , dna microarray , genetics , gene , microbiology and biotechnology , gene expression , botany
Summary Mastitis is a frequent disease and considerable problem for the global dairy industry. Identification of solutions leading to the development of new control strategies is therefore of high importance. In this study, we have integrated genomic data from genome‐wide association mapping in cattle with transcriptomic data from microarray studies of several mastitis pathogens and host species in vitro and in vivo . To identify significant candidate pathways directly and indirectly involved in the immune response to mastitis, ingenuity pathway analysis ( ipa ) and database for annotation, visualization and integrated discovery bioinformatic ( david ) were applied. Several candidate pathways were found. Of great interest are IL ‐17 and IL ‐8 signalling pathways, responsible for the recruitment and migration of inflammatory cells into tissue during inflammation and infection. These results may emphasize further functional studies for identification of factors contributing to resistance to mastitis pathogens in cattle.