Longitudinal Changes in Campylobacter and the Litter Microbiome throughout the Broiler Production Cycle

Broiler chickens are an important source of Campylobacter to humans and become colonized on the farm, but the role of the litter in the ecology of Campylobacter is still not clear. The aim of this study was to examine the relationship between Campylobacter and the changes in the litter microbiome throughout the broiler production cycle. Twenty-six commercial broiler flocks representing two production types (small and big broilers) were followed from 1 to 2 weeks after placement to the end of the production cycle. Composite litter samples from the broiler chicken house were collected weekly. Litter DNA was extracted and used for Campylobacter jejuni and Campylobacter coli qPCR as well as for 16S rRNA gene V4 region sequencing. Campylobacter jejuni concentration in litter significantly differed by production type and flock age. Campylobacter jejuni concentration in litter from big broilers was 2.4 log₁₀ units higher, on average, than that of small broilers at 3 weeks of age. Sixteen amplicon sequence variants (ASVs) differentially abundant over time were detected in both production types. A negative correlation of Campylobacter with Bogoriella and Pseudogracilibacillus was observed in the litter microbiome network at 6 weeks of flock age. Dynamic Bayesian networks provided evidence of negative associations between Campylobacter and two bacterial genera, Ornithinibacillus and Oceanobacillus, at 2 and 4 weeks of flock age, respectively. In conclusion, dynamic associations between Campylobacter and the litter microbiome were observed during grow-out, suggesting a potential role of the litter microbiome in the ecology of Campylobacter colonization and persistence on farm. IMPORTANCE This study interrogated the longitudinal association between Campylobacter and broiler litter microbiome in commercial broiler flocks. The results of this investigation highlighted differences in Campylobacter dynamics in the litter throughout the broiler production cycle and between small and big broilers. Besides documenting the changing nature of the microbial networks in broiler litter during grow-out, we detected bacterial genera (Oceanobacillus and Ornithinibacillus) negatively associated with Campylobacter abundance and concentration in litter via the Bayesian network framework. These bacteria should be investigated as possible antagonists to Campylobacter colonization of the broiler environment.