Fig 1.
Volcano plots showing the differentially expressed transcripts (DETs) in different tissues of the buffaloes at 3-, 42- and 70-days post-infection (3, 42 and 70 dpi) (P-value < 0.05 and |log2 fold-change| ≥ 1.5).
(A) DETs of hepatic lymph nodes (hLNs); (B) DETs of peripheral blood lymphocytes (pBLs); (C) DETs of spleen. Red dots represent the upregulated transcripts, blue dots represent the downregulated transcripts, and gray dots represent the unchanged transcripts in infected tissues.
Fig 2.
Bar plots showing the results of GO enrichment (A) and KEGG analysis (B) of DETs in tissues of the infected buffaloes.
Fig 3.
Differentially expressed components of four of interesting pathways involved in immune response and drug metabolism in F. gigantica-infected hLNs and pBLs.
Pink triangle represents the pathway name, and circle represents the gene name, of which red circle represents the upregulated transcripts in infected tissues and blue circle represents the downregulated transcripts.
Fig 4.
WGCNA analysis revealed the gene co-expression network of hLNs, pBLs and spleen at 3, 42 and 70 dpi, respectively.
(A) Analysis of the scale-free network analyzed the weight of soft thresholds (left) and the average connectivity of various soft thresholds (right). (B) Cluster dendrogram of hLNs, pBLs and spleen genes. (C) Network heatmap of 400 randomly selected genes in co-expression module (the red gradient indicates the higher overlap area of functional module).
Fig 5.
Module-trait relationship analysis of comparison groups (infected vs. control) in hLNs, pBLs and spleen.
The significant modules with value > 0.05 are marked by green box, namely M1 to M12.
Fig 6.
ROC curve analysis revealed hub genes associated with F. gigantica infection.
The plot showing the top 10 hub genes with AUC value > 0.6 of hLNs (A), pBLs (B) and spleen (C).