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Table 1.

Basic morphomertric parametres and geographical location of the studied lakes.

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Table 2.

Physicochemical parameters (mean ± SD) of water at the surface and bottom zones of peat bog lakes.

Differences between the groups were evaluated with the t-test (p <0.05) for independent samples. Denotations: EC—conductivity, DO—dissolved oxygen, DOC—dissolved organic carbon, TOP—total organic phosphorus, TON—total organic nitrogen, N—number of samples. Significant p-values (p < 0.05) are depicted in bold italics. Asterix (*) at pH denotes median value.

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Table 2 Expand

Fig 1.

Seasonal and habitat (sites, x-axis: B- bottom, S- surface) quantitative dynamics of the total number of bacteria (DAPI in x106 mL-1) and metabolically active bacteria (CTC+, NuCC+, RIB+,MEM+ in x106 mL-1).

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Fig 1 Expand

Table 3.

Comparison of DAPI, metabolically active bacteria abundance and relative abundances of bacteria communities (for DAPI, CTC+, NuCC+, RIB+,MEM+ in x106 mL-1; other bacteria communities in %; ±SD) in water sampled from the surface and bottom layers of 4 peat bog lakes with the use of t-test (p<0.05).

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Fig 2.

Quantitative differences between metabolically active bacteria between (a) sites and (b) seasons.

Each column and vertical bar indicate a mean ± standard error.

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Fig 2 Expand

Table 4.

Summary of two-way analysis of variance (ANOVA) testing the effects of site (bottom, surface) and seasons.

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Table 5.

The percentages of the variances in X and Y explained by each variable (component 1 and component 2) in PLS-R model.

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Table 6.

Most important explanatory components for bacteria activity, selected through the VID procedure.

Positive VID coefficients indicate an increase in bacteria abundance and activity, while negative coefficients denote a decrease. ±SD denotes standard deviation.

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Fig 3.

Partial least squares (PLS) regression biplots associated to the first two components: (A) Correlations with bacteria activity for surface water. (A_1) The VIPs (Variable Importance for the Projection) for explanatory variables of component 1; (B). Correlations with bacterial activity for bottom water. The VIPs (Variable Importance for the Projection) for explanatory variables of component 1 (B_1) VIPs >1 indicate the explanatory variables that contribute the most to the PLS models.

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Fig 3 Expand

Fig 4.

Linear regressions between the number of metabolically active bacteria CTC+, NuCC+, RIB+, MEM+ (x106 mL-1) and the total number of bacteria (DAPI).

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Fig 4 Expand