Canoco software for windows 4

Quantitative data are represented as means ± standard deviation (SD). Statistical analysis was performed by one-way analysis of variance (ANOVA) followed by the Holm-Sidak test using SPSS software (version 12.0). A P < 0.05 was considered significant. The species richness in the bacterial microbiota was estimated by the OTU numbers at the same sequencing depth, which was compared to reflect the difference of the microbiota diversity between groups. Correlation between two variances was estimated using linear regression analysis with a Pearson's test in R software (http://www.r-project.org/). Heatmaps were generated for non-scaled, non-normalized titer data using a Euclidean distance function with complete linkage clustering or non-clustering in R using the package pheatmap (version 3.1.1). Principal component analysis was conducted with Canoco software for Windows 4.5 (Microcomputer Power, Ithaca, NY). The output matrix containing the relative abundance of OTUs per sample was processed with the linear discriminant analysis effect size (LEfSe) algorithm (Segata et al., 2011 (link)) using an alpha cutoff of 0.05 and an effect size cutoff of 2.0.

The relative intensity of each band was expressed as a proportion (%) of the sum of all fragments in the same lane of the gel [15 (link)]. Principal component analysis (PCA) was conducted with CANOCO software for Windows 4.5 (Microcomputer Power, Ithaca, NY, USA). Correlation between two variances was estimated using linear regression analysis with a Pearson test. A P-value <0.05 was considered significant.

We used paired t-tests (SPSS, Chicago, IL, United States) to evaluate whether 18 special congeneric species (common species and endemic species) in six genera have divergent hydraulic and economic traits. Relationships between economic and hydraulic traits were analyzed with Pearson’s correlation (SPSS, Chicago, IL, United States). Linear regression analyses were used to examine the correlations of traits (SigmaPlot, SPSS Inc., Chicago, IL, United States). Standardized major axis (SMA) estimation (R 3.2.2 statistical platform) was used to determine whether the correlations between economic and hydraulic traits changed with environmental water availability. Multivariate associations of leaf traits were analyzed with a principal component analysis (PCA) in CANOCO software for Windows 4.5 (Microcomputer Power, Ithaca, NY, United States).