Fig 1.
Relationship between total prokaryote abundance and (a) AAP bacterial abundance and (b) cell size.
(c) Contribution of AAP bacteria to total abundance (%AAP) versus their contribution to total bacterial biovolume (%BV). The line in (a) and (b) is the least-square regression, and details of the regression models are given in Table 1. The line in (c) is the 1:1 line. Data have been log-transformed, and the plots comprise all data collected between July 2007 and October 2008.
Fig 2.
Seasonal patterns in the contribution of AAP bacteria to (a) total bacterial abundance and to biovolume, and (b) in the average cell size of AAP and total bacteria.
The box-and-whisker plots show the average, 75% quartiles and extremes values, and stars indicate significant differences (p<0.05).
Table 1.
Regression models relating AAP bacteria variables to total bacteria or describing the cross-lake patterns in AAP bacteria and total bacteria as a function of environmental variables.
Fig 3.
The average and distribution of the relative abundance of AAP bacteria (%AAP), and of the pigment content per cell volume (fg BChla μm-3) in the epilimnion and in the metalimion of selected lakes.
The box-and-whisker plots show the average, 75% quartiles and extremes values in the epilimnetic and metalimnetic layers during lake summer stratification.
Fig 4.
The relationship of total bacterial abundance (triangles) and AAP bacterial abundance (circles) with total phosphorous concentration (a), Secchi depth (b), and DOC concentration (c).
BChla contents per cell as a function of mean lake chlorophyll concentration (d). Data have been log-transformed, the line is the least-square regression, and details of the regression models are given in Table 1.
Fig 5.
The contribution of AAP bacteria to total bacterial abundance (%AAP, squares) and the BChla content per cell (circles) as function of the DOC to Chla (DOC:Chla) ratio.
The data have been log-transformed, the line is the least-square regression, and details of the regression models are given in Table 1.