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Continuous activation of the IL-17F driven inflammatory pathway in acute and chronic digital dermatitis lesions in dairy cattle

ABSTRACT: Continuous activation of the IL-17F driven inflammatory pathway in acute and chronic digital dermatitis lesions in dairy cattle

PROVIDER: PRJNA803503 | ENA |

REPOSITORIES: ENA

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Continuous activation of the IL-17F driven inflammatory pathway in acute and chronic digital dermatitis lesions in dairy cattle

Project description:Objectives of the present study were to get a deeper insight into the course of the inflammatory pathways of digital dermatitis lesions in dairy cattle by investigating the gene expression patterns throughout the different clinical stages (M0 to M4.1) of the disease. Normal skin samples (M0) were used as a reference for comparing the gene expression levels in the other M-stages through RNA Seq-technology.

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Identifying host pathogenic pathways in bovine digital dermatitis by RNA-Seq analysis of lesions

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Genome-wide association studies reveal susceptibility loci for digital dermatitis in Holstein cattle

Project description:Digital dermatitis (DD) causes lameness in dairy cattle. To detect quantitative trait loci (QTL) associated with DD, genome-wide association studies (GWAS) were performed using high density single nucleotide polymorphism (SNP) genotypes and binary case/control, quantitative (average number of FW per hoof trimming record), and recurrent (cases with  2 DD episodes vs. controls) phenotypes from cows across four dairies (controls n = 129 vs. FW n = 85). Linear mixed model (LMM) and random forest (RF) approaches identified top SNPs, which were used as predictors in Bayesian regression models to assess SNP predictive value. The LMM and RF analyses identified a QTL on BTA1 for the binary phenotype and on BTA2 for the quantitative phenotype. The binary and recurrent LMM GWASs also detected a QTL on BTA2 that was at a different position than the QTL from the quantitative phenotype analysis. The QTL on BTA1 lacked apparent candidate genes, whereas both QTL on BTA2 included genes associated with immune response and wound healing. Although larger sample sizes are necessary to reaffirm these small effect loci amidst a strong environmental effect, the sample cohort used in this study was sufficient for estimating SNP effects with high predictive value.

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