Fig. 6

Longitudinal trajectories and differential metabolite correlation in infected minks. a Longitudinal trajectory clustering of significantly changed. serum metabolites. b, c Chord diagrams (left) of significant associations in metabolites in clusters 3 and 4, respectively. Two-sided t-test followed by Benjamini–Hochberg multiple comparison test. Correlation networks (right) of significant associations between metabolites in clusters 3 and 4, respectively. Nodes and edges are color-coded by molecule type, metabolic pathway, and association direction, respectively. Networks were clustered by fast greedy modularity optimization algorithm. d–g KEGG pathway map of disturbed metabolic pathways in response to SARS-CoV-2 infection in minks at 6 dpi. d KEGG pathway map of differential metabolites take part in vitamin digestion and absorption (KO pathway: ko04977). e KEGG pathway map of differential metabolites take part in bile secretion (KO pathway: ko04976). f KEGG pathway map of differential metabolites take part in cholesterol metabolism (KO pathway: ko04979). g KEGG pathway map of differential metabolites take part in fat digestion and absorption (KO pathway: ko04975). Red circles indicate significantly upregulated metabolite levels, green circles significantly downregulated metabolite levels, blue circles indicate detected metabolites that did not change significantly, and orange circles indicate metabolites that are both upregulated and downregulated. The causes of phenotypic differences among the study subjects were determined through metabolic pathways. dpi, days post infection. AAs amino acids, ApoB apolipoprotein B, BA bile acids, CE cholesterol esters, CL cholesterol, CM chylomicrons, ER endoplasmic reticulum, FA fatty acids, MAG monoacylglycerols, PL phospholipids, PA phosphatidic acid, TG triglycerides, TAG triacylglycerols