2026-10-14T14:22:46Z https://www.scidb.cn/oai

10.57760/sciencedb.37690 2026-05-28T18:23:42Z

2026-05-28 Temporal transcriptome profiling in the response to Riemerella anatipestifer infection in chicken liver doi:10.57760/sciencedb.37690 en Riemerella anatipestifer (RA) is a major pathogen in waterfowl, causing significant economic losses worldwide. In recent years, RA has spread to the chicken industry in China. In this study, a chicken infection model was established in White Leghorn chickens by intramuscular injection RA JN008. Hepatic gene expression were analyzed using RNA-Seq at 1, 3 and 5 days post-infection (dpi). RA infection significantly perturbed host gene expression, and 3 dpi was identified as a critical time point for infection. A total of 3245 differentially expressed genes (DEGs) were identified between the control and infection group. Gene Ontology (GO) and KEGG pathway analyses revealed progressive host response trajectory, transitioning from acute pathogen clearance and immune activation to the onset of metabolic dysregulation. The Toll like receptor signaling pathway, cytokinecytokine receptor interactions, and the ferroptosis pathway played important roles during RA infection. Based on weighted gene co-expression network analysis (WGCNA), three key modules were identified related to immunity, metabolic and signaling-related, respectively. Furthermore, MAPKAPK2, IL4R, and TLR1A may serve as potential molecular markers for RA infection in chicken. These findings indicate hepatitis induced by RA was coordinated by multiple biological systems, primarily involving immunity, inflammation, and energy metabolism. This study provides the first comprehensive transcriptomic analysis of liver responses to RA infection in chickens, offering new insights into host–pathogen interactions and a valuable reference for future strategies to control RA infection in the poultry industry. chicken; Riemerella anatipestifer infection; liver; RNA-seq; WGCNA Yuxia zhang Xiaoyuan yuan PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank