Project description:To evaluate how commonly-utilized antimicrobials affect the host transcriptome of commercial beef cattle overtime, we enrolled 105 feedlot beef steers randomly into seven different treatment groups (negative control, tulathromycin, tildipirosin, enrofloxacin, florfenicol, ceftiofur, oxytetracycline) to receive a one-time label dose of a commercial antimicrobial or not (negative control), and collected jugular whole blood into PAXgene RNA blood tubes at six time points: Day 0 (baseline), 3, 7, 14, 21, and 56.
Project description:The nasopharyngeal microbiota of healthy cattle vs. cattle diagnosed with BRD in a commercial feedlot setting was compared using a high-density 16S rRNA microarray (Phylochip). Nasopharyngeal samples were taken from both groups of animals (n=5) at feedlot entry (day 0) and >60 days later.
Project description:We profiled blood transcriptomics of 24 beef steers at three important stages (Entry: on arrival at the feedlot; Pulled: when sickness is identified; and Close-out: recovered, healthy cattle at shipping to slaughter) to reveal the key biological functions and regulatory factors of BRD and identify gene markers of BRD for early diagnosis and potentially use in selection.
Project description:Oligonucleotide DNA microarrays were used as a platform to compare C. jejuni isolates from feedlot cattle and human clinical cases from Alberta. Comparative genomic hybridization (CGH) analysis was performed on 87 isolates (46 bovine, 41 human) obtained within the same geographical regions and time frame. In addition, We also performed gene association analysis to determine if any genes may be differentially distributed between human and cattle sources or between clusters dominated by either human or cattle isolates (“human enriched” vs “cattle enriched”). Keywords: Comparative Genomic Hybridization; Genomic epidemiology; Gene-association study
Project description:Bovine respiratory disease (BRD) is the most common and costly infectious disease affecting the well-being and productivity of beef cattle in North America. BRD is a complex disease whose development is dependent on environmental factors and host genetics. Due to the polymicrobial nature of BRD, our understanding of the genetic and molecular mechanisms underlying the disease is still limited. This knowledge would augment the development of better genetic/genomic selection strategies and more accurate diagnostic tools to reduce BRD prevalence. Therefore, this study utilized multi-omics data (genomics, transcriptomics, and metabolomics) analyses to study the associations between genome, transcriptome, metabolome, and BRD phenotype of feedlot crossbred cattle. The findings may be useful for the development of genomic selection strategies for BRD susceptibility, and for the development of new diagnostic and therapeutic tools.
