File S1 - Microbial Community Functional Structures in Wastewater Treatment Plants as Characterized by GeoChip

This includes Tables S1–S5 and Figures S1–S8. Table S1 Summary of overall operating parameters of four WWTPs. Table S2 Metal concentrations within the four WWTPs. Table S3 Phylogenetic classification based on GeoChip data. Table S4 Numbers of detected genes involved in carbon cycling and total gene numbers present on GeoChip. Table S5 The relationship of different gene categories to related environmental variables revealed by Mantel test. Figure S1 Hierarchical cluster analysis of egl genes. Figure S2 The hierarchical cluster analysis of Xylanase genes. Figure S3 The hierarchical cluster analysis of lip genes. Figure S4 Hierarchical cluster analysis of phytase genes. Figure S5 The hierarchical cluster analysis of aprA genes. Figure S6 The normalized signal intensity of detected key genes involved in metal resistance. Figure S7 The normalized signal intensity of detected key genes involved in Antibiotic resistance. Figure S8 Variation partitioning analysis of microbial diversity explained by wastewater characteristics (W) and operational parameters (O).
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本数据集包含附表S1至S5及附图S1至S8。
附表S1：四座污水处理厂（Wastewater Treatment Plants，缩写WWTP）的整体运行参数汇总。
附表S2：四座污水处理厂内的金属浓度分布。
附表S3：基于功能基因芯片（GeoChip）数据的系统发育分类。
附表S4：功能基因芯片（GeoChip）上检测到的碳循环相关基因数量及总基因数。
附表S5：经曼特尔检验揭示的不同基因类别与相关环境变量间的关联。
附图S1：egl基因的层次聚类分析。
附图S2：木聚糖酶基因的层次聚类分析。
附图S3：lip基因的层次聚类分析。
附图S4：植酸酶基因的层次聚类分析。
附图S5：aprA基因的层次聚类分析。
附图S6：检测到的金属抗性关键基因的标准化信号强度。
附图S7：检测到的抗生素抗性关键基因的标准化信号强度。
附图S8：由废水特征（W）与运行参数（O）解释的微生物多样性变异划分分析。
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