Application of RNA-sequencing to identify biomarkers in broiler chickens prophylactic administered with antimicrobial agents

• Main Authors: D. Giannuzzi, B. Biolatti, E. Longato, S. Divari, L. Starvaggi Cucuzza, P. Pregel, F.E. Scaglione, A. Rinaldi, L.M. Chiesa, F.T. Cannizzo
• Format: Article
• Language: English
• Published: Elsevier 2021-02-01
• Series: Animal
• Subjects: Antibiotics; Coccidiostat; Next-generation sequencing; Poultry; Transcriptome
• Online Access: http://www.sciencedirect.com/science/article/pii/S1751731120301154

Antimicrobial (AM) resistance is largely acknowledged as one of the biggest global health and food safety challenges and the overuse of AMs is known to generate resistance in bacteria that may affect both animals and humans. Poultry meat is the second most-produced meat in the European Union and in recent years consumers are becoming more concerned about food safety, traceability, and animal welfare in poultry rearing system, increasingly requiring meats from broilers reared without AMs. In the present study, we performed RNA sequencing to analyze 64 liver and 54 muscle transcriptomic profiles in broilers reared without treatment or treated with different classes of AMs. Moreover, we validated the most differentially expressed genes among the treated groups to detect putative novel biomarkers able to discriminate meats of broilers reared without AMs. The PDK4, IGFBP1, and RHOB genes were identified as putative novel hepatic biomarkers, discriminating broilers treated with AMs compared to broilers reared without treatments. The whole transcriptome changes revealed the liver as a valuable target organ for AM administration screening. In addition, our results suggest a leading effect of the coccidiostat when associated with AMs, influencing several biological processes. Our study showed that RNA sequencing is a powerful and valuable method to detect aberrant regulated genes and to identify biomarker candidates for AM misuse detection in farm animals. Further validation on larger sample size and a wider spectrum of AMs are needed to confirm the viability of the aforementioned biomarkers in poultry population.