Recipient Organization
UNIVERSITY OF CALIFORNIA, DAVIS
410 MRAK HALL
DAVIS,CA 95616-8671
Performing Department
Population Health & Reproduction
Non Technical Summary
The use of antimicrobial drugs in livestock has come under increased scrutiny as a major contributor to antimicrobial resistance (AMR) in both livestock and humans. As a precaution, FDA and the state of California made legislative changes to increase veterinary oversight on the use of medically important antimicrobial drugs in livestock and mandated the monitoring for AMR in livestock. However, limited information is available on AMR status on cow-calf operations in California. Our goal is to quantify the burden of antimicrobial resistance determinants in fecal bacteria shed by cattle of different age groups and management systems and understand the risk factors for fecal shedding of pathogens carrying AMR genes. We will conduct a cross-sectional study on a convenience sample of 6 herds enrolled from Northern California based on willingness to participate and good record keeping. Fecal samples from 10 animals per ranch will collected for DNA extraction and analysis for relative abundances of different bacterial types and resistance determinants between different animal groups, and determine the effect of treatment as well as herd level management practices on bacterial resistance. The outcome of this study will establish AMR benchmarks in beef animals and generate knowledge on how the bacterial resistance may change during calf hood and into adulthood for cattle on pasture or range in California.
Animal Health Component
25%
Research Effort Categories
Basic
50%
Applied
25%
Developmental
25%
Goals / Objectives
The goal of this project is to quantify the burden of antimicrobial resistance determinants in fecal bacteria shed by beef cattle of different age groups and management systems and understand the risk factors for fecal shedding of pathogens carrying AMR genes. The specific objectives this project are as follows:1) Sequence metagenomes of individual and pooled fecal samples from beef calves and cows on pasture or range in California2) Assess the prevalence of antimicrobial resistant genes in bacteria shed in the feces of cattle of different age, groups and management systems.
Project Methods
Herd enrolment and samplingAnimal Care and Use Committee approval will be obtained. A convenience sample of 6 herds in northern California will be enrolled in the study based on willingness to participate, presence of animal facilities, good records, and organic status. Ten animals per ranch will be sampled either as animals are processed through a chute (e.g. during pregnancy examination) or if they are observed defecating on pasture. Herds with a minimum of 100 animal will be enrolled. Samples will consist of approximately 50 g of feces collected from the rectum or picked up off the ground from an area of the fecal pad not in contact with the ground. Sampling will be blocked by age groups; five samples from dams (COW) and five samples from calves (CALF). If animals are going through a chute, they will be sampled based on a random numbers list, otherwise, the first animals that are observed defecating will be sampled. Samples collected in sterile whirl packs will be transported on ice to the Davis lab (Maier Lab). During the farm visits, an in-person interview will be conducted to collect information on the age of the animals and antibiotic treatments in the herd, if applicable.DNA extraction and next-generation sequencingDNA will be extracted from all samples with the Qiagen DNeasy PowerSoil Kit. In addition, a pooled samples (POL) from five calves or dams will be prepared for each herd by mixing equal amounts of fecal matter from five individual animals (IND). Purity and concentration of extracted DNA will be measured with a spectrophotometer (NanoDrop™ OneC). Library preparation, sample purification and normalization will be conducted as previously described using and following Illumina preparations kits and purification kits [8].Next-Generation Sequencing: DNA fragments will be paired-end sequenced (150 base pair reads) in multiplexed pools on the Illumina HiSeq 4000 platform at the UC Davis DNA Technologies & Expression Analysis Core Laboratory. Data will also be quality-filtered and aligned by the Core facility. Data will be uploaded to the Metagenome Rapid Annotation using Subsystem Technology (MG-RAST) server, were it will be processed for quality control and annotated, as previously described [8].Data analysis: Data will be processed using SAS and JMP (SAS Institute Inc., Cary, NC). Relative abundances of different bacterial taxa and microbial functions in each sample will be used as covariates in discriminant analysis models to determine which bacterial species are most important to differentiate between COW and CALF groups, and POL and IND group. Taxa and resistance gene functions retained after discriminant analysis will be evaluated by a screening analysis using the false discovery rate to correct for multiple comparisons. Taxa and gene functions with a significantly different relative frequency between treatment groups will be selected for further analysis using a multivariate mixed effects logistic regression model (Pereira et al., 2018). In addition to treatment group effect, multiple models will be used to evaluate the effect of herd level management practices collected through the in-person interview