Statistical analysis. The data were analyzed using a one-way ANOV A in SAS ver. 8.0 software. Significancedifferences among the four Allium species were determined using Fisher’s least significant difference test(P ≤ 0.05). Venn diagrams were generated using the “Venn diagram” package, heatmap images were producedusing the “pheatmap” package, and Principal coordinate analysis (PCA) figures were created using the “princomp”program in R (v3.1.2). LefSe and PICRUSt were analyzed using LefSe (https://bitbucket.org/biobakery/biobakery/wiki/lefse) and PICRUSt software (http://huttenhower.sph.harvard.edu/galaxy/), respectively. Pearson’s correlations were used to assess the relationships between gene functions and bacterial communities.
统计分析。使用SAS版本中的单向ANOV a分析数据。8.0软件。采用Fisher最小显著性差异检验（P≤ 0.05). 使用“维恩图”包生成维恩图，使用“pheatmap”包生成热图图像，并使用R（v3.1.2）中的“princomp”程序创建主坐标分析（PCA）图。使用LefSe分析LefSe和PICRUSt(https://bitbucket.org/biobakery/biobakery/wiki/lefse）和PICRUSt软件(http://huttenhower.sph.harvard.edu/galaxy/)，分别。Pearson相关性用于评估基因功能与细菌群落之间的关系。
