Fig. 5: Effects of management and warming on wheat rhizosphere microbial functional profiles.
KEGG enrichment analysis of differentially expressed metabolic pathways in warming (a) and ambient conditions (b). The differential metabolic functions were performed using the empirical Bayes techniques on level 3 of the KEGG metabolic pathway. c Effects of management and warming on the relative abundance of N cycling related genes. The abundance of each gene was normalized to transcript per million (TPM), based on the gene length and sequencing depth. Data are presented with mean values ± s.e.m. (n = 6 independent soil samples per treatment). Statistical significance between treatments was determined using two-sided Student’s t tests. The box plots show the median (center line), the 25th and 75th percentiles (box), and the range of non-outlier values (whiskers) (n = 6 independent soil samples per treatment). Significances are denoted by asterisks: ***p < 0.001, ** p < 0.01, * p < 0.05. d Sankey diagram showing the difference in the contributions of microbial groups to N metabolic process under warming and agricultural managements. The three columns indicate, from left to right, the four treatments, the contribution of each taxonomic group to the metabolic function, and the contribution of the N cycle, respectively. Source data are provided as a Source Data file.
