Applied Research: Translating Microbiome and Pathogen Dynamics into Practical Solutions
In our applied research, we focus on utilising scientific methodologies to explore how microbial communities in poultry interact with pathogens like Campylobacter jejuni influence disease outcomes. We employ a combination of temporal microbiome profiling and metagenomic analysis to track microbial community changes within the chicken gut over time, providing insights into when and how pathogens colonise the host.
Metagenomic sequencing is particularly valuable in identifying the specific bacterial genera that are associated with pathogen prevalence. Through longitudinal studies of chickens from day 3 to 35, we have pinpointed key windows where microbial diversity peaks and Campylobacter can successfully establish itself in the gut. These insights are critical for understanding how farm practices, such as diet and environmental conditions, affect pathogen dynamics.
Figure legend. Poultry gut microbial population dynamics over time (Ijaz et al., 2018).
Figure legend. Poultry gut microbial population dynamics analyses using alpha and beta diversity (Ijaz et al., 2018).
We also examine the influence of production systems and dietary interventions on microbial composition and pathogen colonisation. For example, we assess how Omega-3 supplementation and probiotic treatments can modulate the microbiome, using probiotic-based formulations like Bacillus spp. to reduce pathogen load and improve gut health. These approaches are grounded in experimental studies that combine clinical trial methodologies with microbiological techniques to assess pathogen reduction and improve chicken performance.
By integrating classical microbiology techniques with modern omics approaches and statistical modelling, we translate fundamental microbiological insights into actionable interventions. Our aim is to develop evidence-based solutions that enhance food safety, animal welfare, and public health, by reducing the prevalence of foodborne pathogens in poultry.
Figure legend. Bacterial diversity between different farm settings (McKenna et al., 2020).