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Factors Affecting the Development of Bovine Respiratory Disease: A Cross-Sectional Study in Beef Steers Shipped From France to Italy.

ABSTRACT: Bovine respiratory disease (BRD) is a complex, multifactorial syndrome and one of the major welfare and economical concerns for the cattle industry. This 1-year cross-sectional study was aimed at documenting the prevalence of BRD-related pathogens and clinical signs before and after a long journey and at identifying possible predisposition factors. Male Limousine beef steers (n = 169) traveling from France to Italy were health checked and sampled with Deep Nasopharyngeal Swabs (DNS) at loading (T0) and 4 days after arrival (T1). Real-time quantitative PCR was used to quantify the presence of bovine viral diarrhea virus (BVDV), bovine respiratory syncytial virus (BRSV), bovine alphaherpesvirus 1 (BoHV-1), bovine coronavirus (BCoV), bovine adenovirus (BAdV), bovine parainfluenza virus 3 (BPIV-3), Histophilus somni, Mannheimia haemolytica, Mycoplasma bovis, and Pasteurella multocida. Weather conditions at departure and arrival were recorded, and the travel conditions were taken from the travel documentation. At T0, even if no animals displayed clinical signs, some of them were already positive for one or more pathogens. At T1, the number of animals displaying clinical signs and positive for BCoV, BAdV, BRSV, H. somni, M. haemolytica, M. bovis, and P. multocida increased dramatically (p < 0.001). Transport also significantly increased co-infection passing from 16.0% at T0 to 82.8% at T1 (p < 0.001). An extra stop during the journey seemed to favor BRSV, M. haemolytica, and P. multocida (p < 0.05). Weather conditions, in particular sudden climate changes from departure to arrival and daily temperature variance, were found to be predisposing factors for many of the pathogens. The farm of arrival also played a role for BRSV, BAdV, and H. somni (p < 0.05). BCoV increased dramatically, but no associations were found confirming that it spreads easily during transport phases. Our findings increased our understanding of factors increasing the likelihood of BRD-related pathogens shedding and can be useful to minimize the incidence of BRD and to implement animal transport regulations.

SUBMITTER: Padalino B

PROVIDER: S-EPMC8273259 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:The study aimed to investigate the impact of Bovine Respiratory Disease (BRD) on the metabolism of beef steers during a 35-d receiving period using plasma metabolomics. In this study, 77 newly weaned crossbred (Angus × Hereford) beef steers (BW = 206 ± 12 kg and age = 180 ± 17 days) were categorized into two groups: Healthy and Sick groups. The Sick group comprised beef steers diagnosed with BRD at any time during the 35-day period (n = 31), while the Healthy group did not show any signs of BRD (n = 46). Blood samples were collected from the coccygeal vessels on day 35, and plasma samples were subjected to targeted metabolomics analysis using Nuclear Magnetic Resonance spectroscopy. Data and statistical analyses, including biomarker and pathway enrichment analyses, were performed using Metaboanalyst 5.0. Results of the growth performance showed that sick steers had lower (p ≤ 0.05) ADG (1.44 vs. 1.64 kg/d) and higher (p = 0.01) feed:gain ratio (3.57 vs. 3.13) compared to healthy steers. A total of 50 metabolites were quantified. The partial least squares discriminant scores plot showed a slight separation between the two groups of steers, indicating some metabolic differences. Furthermore, the plasma concentrations of four metabolites (sarcosine, methionine, dimethyl sulfone, and L-histidine) were greater (p ≤ 0.05) in healthy steers compared to sick steers. Among these metabolites, sarcosine and methionine qualified as candidate biomarkers associated with BRD infection based on an area under the curve >0.70. Additionally, quantitative enrichment analysis revealed that cysteine and methionine metabolism was enriched in healthy steers compared to sick steers. This suggests that these metabolic pathways may play a role in the response to BRD infection. The findings of this study highlight the altered plasma metabolome in steers with BRD during the receiving period. Understanding these metabolic changes can contribute to the development of effective management strategies and nutritional interventions to mitigate the negative impact of BRD on beef cattle health and immune function.

Project description:The objectives of the current study was to profile miRNA expression in the liver tissue of beef steers and consequently identify differentially expressed miRNAs between efficient and inefficient beef steers. Materials and Methods: In total 50 purebred Angus, 48 purebred Charolais and 158 Kinsella Composite breed steers were tested for individual feed intake using the GrowSafe system for an average period of 70 to 73 days. During the feedlot test animals were fed at ad libitum with a finishing diet composed of 75% barley grain, 20% barley silage and 5% rumensin pellet. Body weight of each animal was measured at an interval of 28days and ADG for each animal was obtained from a linear regression of serial body weight (BW) measurements (Kgs) on time (days). MWT was calculated as midpoint BW0.75, where midpoint BW was computed as the sum of initial BW of the animal and the product of its ADG multiplied by half the number test days. DMI of each animal was calculated as the average daily feed intake of the animals for the time during the feedlot test (days). The expected DMI for each animal was predicted using the regression intercept and regression coefficients of ADG and MWT on actual DMI, and RFI was computed as the difference between the standardized daily DMI and the expected DMI. At the end of the test, animals were slaughtered and liver tissue was collected immediately after slaughter separately bagged in plastic bags, labelled and flash frozen in liquid nitrogen. The frozen samples were transferred to the laboratory on ice and stored at -80C until RNA extraction. From the frozen samples, 20 samples (10 with positive and 10 with negative RFI phenotype values) of each breed were considered for total RNA extraction. Each of the selected liver tissue sample was pulverised into fine powder using liquid nitrogen and a pre-chilled mortar and pestle on dry ice. Total RNA containing small RNAs was then extracted using a Qiagen RNeasy Plus Universal Mini Kit (Qiagen, Toronto, ON). NanoDrop 2000 Spectrophotometer (Thermo Scientific, Wilmington, DE, USA) was used to quantify the RNA. We obtained total RNA of an average concertation of 1851.8ng/µl per sample, and with absorbance ratios (A260/280) ranging between 1.8 and 2.0 which were considered of high purity for downstream analyses. RNA integrity was confirmed using a TapeStation-Agilent instrument (Agilent Technologies Canada, Mississauga, ON), RNA integrity number (RIN) values for all samples were higher than 8 which deemed them of high quality for cDNA library preparation. In total 60 cDNA libraries were prepared and sequenced at Clinical Genomics Centre (Toronto, ON, Canada). The libraries were prepared using the Illumina Truseq Small RNA Library Prep Kit (Illumina, San Diego, CA, USA) from 1µg of each of total RNA samples we submitted. Firstly, an RNA 3’ adapter was ligated to the 3’ end of the RNAs in the total RNA sample using T4 RNA Ligase 2 enzyme, thereafter an RNA 5’ adapter was added to the 5’ end of the 3’ adaptor-ligated-RNAs using T4 RNA Ligase. The RNA 3’ and RNA 5’ adapters are designed to specifically target miRNAs and other small RNAs resulting from similar biogenic processing. The 5’ and 3’ adapter ligated RNA was then Reverse transcribed using SuperScript II Reverse Transcriptase (Thermo Fisher Scientific, San Jose, CA, USA) and the RNA RT primer to generate single stranded cDNA. The cDNA was then PCR amplified a common RNA PCR primer, and a second RNA PCR primer containing a six-nucleotide indexing sequence to allow multiplexed sequencing of multiple samples on the same flow cell lane. The cDNA libraries were purified via gel electrophoresis using a 6% PAGE Gel, and the 160bp and 145bp cDNA bands were used for sequencing. Four sequencing pools of 15 samples were constructed by pooling an average of 2nM cDNA of each sample. The pooled cDNA libraries were single end sequenced on two flow cells using the Illumina Hiseq 2500 sequencing platform under Rapid run mode, with expected read length of 50bp (1x50bp SR). After sequencing raw sequence data were demultiplexed into individual FASTQ file each sample using Illumina bcl2fastq-v2.17.1.14 conversion software (Illumina). Adaptors on the 3' end of the sequences were clipped of using Cutadapt version 1.16, and consquently filtered for other small RNA species using bowtie-1.1.1 short read aligner. Individual miRNA (including known and novel miRNAs) were profiled using the UMD3.1 bovine reference genome and the miRDeep2 package (version 2.0.0.8), Differential miRNA expression analyses within each breed was performed between six extreme low RFI and high RFI animals using edgeR package in R, at a threshold of P < 0.05 and Fold change > 1.5. We identified 588 miRNAs as expressed in the liver tissue of the studied animals of which 90% of these miRNAs were expressed in animals from all three breed populations. Ten previously identified (known) miRNAs including bta-miR-192, bta-miR-143, bta-miR-148a, bta-miR-26a, bta-miR-30a-5p, bta-miR-22-3p, bta-miR-27b, bta-let-7f, bta-miR-27a-3p, and bta-miR-101 showed exceptionally high expression in the liver tissue of all steers, accounting for over 78% of the aligned sequence reads. We also identified 241 novel bovine miRNAs, of which the majority (69%) were uniquely expressed in one of the three breed populations. We identified 12 (7 up- and 5 down- regulated in low-RFI animals), 18 (12 up- and 6 down- regulated in low-RFI animals), and 12 (8 up- and 4 down- regulated in low-RFI animals) DE miRNAs for Angus, Charolais, and KC steers, respectively. Most of the DE miRNAs were breed specific, with only bta-miR-449a being differentially expressed in all three breeds.

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Factors Affecting the Development of Bovine Respiratory Disease: A Cross-Sectional Study in Beef Steers Shipped From France to Italy.

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