Combined analysis of the microbiome, metabolome and transcriptome of silkie chickens in response to avian pathogenic E. coli (APEC).

Microb Pathog

The Shennong Laboratory, Zhengzhou Henan 450002, China; College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450002, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou 450002, China. Electronic address:

Published: April 2024

Avian colibacillosis is a bacterial disease caused by avian pathogenic Escherichia coli (APEC) that results in great losses in the poultry industry every year. Individual Silkie chickens of the same breed that are given the same feed in the same feeding conditions have different levels of resistance or susceptibility to APEC. Differences in gut microbes, gut metabolites, and gene expression in the spleen of APEC-resistant and APEC-susceptible chickens were compared, and multiple omics associations were analyzed to explore the mechanism of resistance to APEC in Silkie chickens. Compared with those in the APEC-susceptible group, the APEC-resistant group showed significantly increased abundances of many gut microorganisms, including Bacillus, Thermoactinomyces, Arthrobacter, and Ureibacillus, which were positively correlated with norvaline, l-arginine, and valyl-glycine levels. Intestinal tryptophan, indole, and indole derivative-related differentially abundant metabolites played an active role in combatting APEC infection. In the spleen, "response to stimulus" was the most significantly enriched GO term, and "cytokine‒cytokine receptor interaction" was the most significantly enriched KEGG pathway. The arginine biosynthesis and PPAR signaling pathways were the KEGG pathways that were significantly enriched with differentially abundant metabolites and differentially expressed genes. This study provides new insight into the prevention and treatment of APEC infection in Silkie chickens and lays a foundation to study the mechanism of APEC infection in poultry.

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http://dx.doi.org/10.1016/j.micpath.2024.106586DOI Listing

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