Breed and adaptive response modulate bovine peripheral blood cells' transcriptome. Issue 1 (December 2017)

• Record Type: Journal Article
• Authors: Pošćić, Nataliya; Montanari, Tommaso; D'Andrea, Mariasilvia; Licastro, Danilo; Pilla, Fabio; Ajmone-Marsan, Paolo; Minuti, Andrea; Sgorlon, Sandy
• Is Part Of: Journal of animal science and biotechnology. Volume 8:Issue 1(2017)
• Page Start: 1
• Page End: 16
• Publication Date: 2017-12
• Subjects: Acute phase proteins -- Adaptive response -- Dynamic impact approach (DIA) -- Hypothalamic-pituitary-adrenal (HPA) axis -- RNA-Seq -- Stress response -- Transcriptomics; Animal biotechnology -- Periodicals; Animal culture -- Periodicals; Domestic animals -- Periodicals; Livestock -- Periodicals; 636.08
• DOI: 10.1186/s40104-017-0143-y
• Languages: English
• ISSNs: 2049-1891

Abstract

Abstract Background Adaptive response includes a variety of physiological modifications to face changes in external or internal conditions and adapt to a new situation. The acute phase proteins (APPs) are reactants synthesized against environmental stimuli like stress, infection, inflammation. Methods To delineate the differences in molecular constituents of adaptive response to the environment we performed the whole-blood transcriptome analysis in Italian Holstein (IH) and Italian Simmental (IS) breeds. For this, 663 IH and IS cows from six commercial farms were clustered according to the blood level of APPs. Ten extreme individuals (five APP+ and APP- variants) from each farm were selected for the RNA-seq using the Illumina sequencing technology. Differentially expressed (DE) genes were analyzed using dynamic impact approach (DIA) and DAVID annotation clustering. Milk production data were statistically elaborated to assess the association of APP+ and APP- gene expression patterns with variations in milk parameters. Results The overall de novo assembly of cDNA sequence data generated 13, 665 genes expressed in bovine blood cells. Comparative genomic analysis revealed 1, 152 DE genes in the comparison of all APP+ vs. all APP- variants; 531 and 217 DE genes specific for IH and IS comparison respectively. In all comparisons overexpressed genes were more represented than underexpressed ones. DAVID analysis revealed 369 DE genes across breeds, 173 and 73 DE genes in IH and IS comparison respectively. Among the most impacted pathways for both breeds were vitamin B6 metabolism, folate biosynthesis, nitrogen metabolism and linoleic acid metabolism. Conclusions Both DIA and DAVID approaches produced a high number of significantly impacted genes and pathways with a narrow connection to adaptive response in cows with high level of blood APPs. A similar variation in gene expression and impacted pathways between APP+ and APP- variants was found between two studied breeds. Such similarity was also confirmed by annotation clustering of the DE genes. However, IH breed showed higher and more differentiated impacts compared to IS breed and such particular features in the IH adaptive response could be explained by its higher metabolic activity. Variations of milk production data were significantly associated with APP+ and APP- gene expression patterns.