Supplementary Material
Fig. S1. Soft-threshold determination of gene co-expression
networks and module detection. A, Determination of the soft
threshold for dividing different modules. B, Determination of
the Hierarchical clustering tree. Each color represents a module in the
co-expression network by WGCNA.
Fig. S2. Correlation between structural genes and regulatory
genes in different co-expression networks. Green node: structural gene;
red node: regulatory gene with up-regulated expression under UV-B
stress; yellow node: regulatory gene with down-regulated expression
under UV-B stress; blue node: regulatory gene with no significant
difference in expression under UV-B stress. Solid line: positive
regulation; dash line: negative regulation.
Fig. S3. The distribution of gene numbers among different
regulatory gene families identified from co-expression networks.
Horizontal axis: name of the gene family. Vertical axis: number of gene
members per gene family.
Table S1. Transcriptome information used in this study.
Table S2. Primers information for qRT-PCR analysis.
Table S3. Structural genes involved in the GSH metabolism ofG. hirsutum under UV-B stress.
Table S4. Protein sequence similarity of the genes in the GSH
pathway in G. hirsutum .
Table S5. Genes involved in the GSH metabolic pathway ofG. hirsutum .
Table S6. Assembly information in leaves transcriptomes ofG. hirsutum under UV-B stress.
Table S7. DEGs in the GSH metabolic pathway of G.
hirsutum under UV-B stress.
Table S8. Homoeologous gene pairs involved in the GSH metabolic
pathway of G. hirsutum under UV-B stress.