《Table 3–Spearman correlation analysis between the microorganisms during the four sampling events (n

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《One-year survey of opportunistic premise plumbing pathogens and free-living amoebae in the tap-water of one northern city of China》

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The bold numbers represented significance under p<0.05.Leg，Myco，Ps，Ac，Ae represented Legionella spp.，Mycobacterium spp.，P.aeruginosa，Acanthamoeba spp.，and Aeromonas spp.respectively.

Nonparametric Spearman's rank correlation analysis has often been used to analyze the correlations between different target microorganisms and water quality parameters，based on a previously published study（Wang et al.，2012b）.Therefore，the relationships between OPPPs and chlorine，AOC，BDOC，and turbidity were analyzed by Spearman correlative analysis.As shown in Table 2，16S r RNA genes（rs=-0.484，p=0.001），Legionella spp.（rs=-0.559，p=0.000），Mycobacterium spp.（rs=-710，p=0.000），Acanthamoeba spp.（rs=-0.311，p=0.040）and Aeromonas spp.（rs=-0.434，p=0.003）were negatively correlated with chlorine concentration.However，no significant correlated relationships between OPPPs and AOC，BDOC，or turbidity were found（p>0.05）.The relationships between OPPPs and chlorine were also analyzed by linear regression，and were found to be basically consistent with the results of Spearman correlative analysis（Appendix A Fig.S6）.For example，the Legionella spp.and Mycobacterium spp.had a negative linear relationship with chlorine（R2=0.2650 and 0.4055，p<0.05）.Table 3 shows microbial correlations between the target microorganisms by Spearman correlation analysis.Moderate to strong correlation existed among HPC，16S r RNA genes，Mycobacterium spp.，and Legionella spp.（rs=0.425–0.785，p<0.05）.In particular，moderate correlations existed between Acanthamoeba spp.and OPPPs（except P.aeruginosa）（rs=0.319–0.478，p<0.05） .