In poultry production, we cannot directly observe internal physiological changes as they occur. Instead, blood biomarkers combined with microbiome profiles provide an indirect yet powerful window into the bird’s internal status, helping us detect early disruptions in health or metabolism that may not be visible externally. Birds cannot talk to tell us where it hurts or if they feel atypical pigmentation, so using tools such as blood testing through platforms such as Verax™, can help deduce what is wrong.
Microbiome analysis is an ever-evolving tool to close this visibility gap from traditional performance metrics and provide a deeper biological understanding of bird performance, such as organ function, bacterial overgrowth, feed conversion efficiency, and inconsistent feed responses.
From data to insights: technology evolution
dsm-firmenich Animal Nutrition & Health is a pioneer in the microbiome space. While early culturing methods were limited due to the inability to culture many microbial species, the introduction of 16S rRNA gene sequencing expanded visibility, allowing broader profiling of microbial diversity. As time went on, more advanced approaches, such as metagenomics, delivered a comprehensive overview of microbial communities, while metatranscriptomics and metaproteomics provide insight into active microbial functions and metabolic activity. With these microbiome-based diagnostics, microbial signatures can be used to diagnose and predict disease risk. AI-based interpretation translates complex omics datasets into practical recommendations for nutrition, biosecurity, and antibiotic reduction strategies.
Real-world value add: microbiome diversity drives performance
Microbiome insights help improve poultry performance by optimizing gut function and microbial metabolism in the bird. By supporting beneficial microbial pathways and improving nutrient utilization, microbiome-targeted solutions can enhance growth performance, feed efficiency, and resilience to enteric stress in poultry flocks.
While microbiome management may also influence the presence of certain bacteria associated with food safety (e.g., Salmonella), the primary goal in this context is improving bird health and performance, rather than directly addressing food-borne pathogen risks. Food safety outcomes represent a related but distinct objective that typically requires additional interventions across the production chain.