Fig. 3
Identification of microbial taxa significantly associated with various variables. a Heatmap of the microbial taxa that were found to be significantly associated with different host or environmental variables using multivariate association with linear models (MaAsLin). Each level of every variable was compared with the reference level. Significant associations with FDR < 0.05 are marked with +/−. Blue and pink represent negative and positive correlations, respectively. BMI Body mass index, CS Cesarean section history, IUA Intrauterine adhesion, BV Bacterial vaginosis, VVC Vulvovaginal candidiasis, AMH Anti-mullerian hormone, E2 Estradiol, FSH Follicle stimulating hormone, Basal LH Basal luteinizing hormone, T Testosterone, HGB Hemoglobin. b SparCC network constructed by 45 identified microbial taxa. Microbial taxa are colored by phylum. The size of each node is proportional to relative abundance. Each edge represents a significant correlation with gray and yellow lines representing negative and positive correlations, respectively. The width of the edge indicates the strength of the sparCC correlation. The division of modules was calculated by the maximal greedy algorithm. c Zi-Pi plot showing the distribution of key species/genus based on their topological roles in the network. The threshold values of Zi and Pi for categorizing species/genus are 2.5 and 0.62, respectively. d Degree, closeness centrality, and betweenness centrality of each taxon in the network. The horizontal dashed line indicates the mean value for the degree of identified bacterial taxa
