J. Pernthaler et al., SEASONAL COMMUNITY AND POPULATION-DYNAMICS OF PELAGIC BACTERIA AND ARCHAEA IN A HIGH-MOUNTAIN LAKE, Applied and environmental microbiology (Print), 64(11), 1998, pp. 4299-4306
The seasonal variations in community structure and cell morphology of
pelagic procaryotes from a high mountain lake (Gossenkollesee, Austria
) were studied by in situ hybridization with rRNA-targeted fluorescent
ly labeled oligonucleotide probes (FISH) and image-analyzed microscopy
. Compositional changes and biomass fluctuations within the assemblage
were observed both in summer and beneath the winter ice cover and are
discussed in the context of physicochemical and biotic parameters. Pr
oteobacteria of the beta subclass (beta-proteobacteria) formed a domin
ant fraction of the bacterioplankton (annual mean, 24% of the total co
unts), whereas alpha-proteobacteria were of similar relative importanc
e only during spring (mean, 11%). Bacteria of the Cytophaga-Flavobacte
rium cluster, although less abundant, constituted the largest fraction
of the filamentous morphotypes during most of the year, thus contribu
ting significantly to the total microbial biomass. Successive peaks of
threadlike and rod-shaped archaea were observed during autumn thermal
mixing and the period of ice cover formation, respectively. A set of
oligonucleotide probes targeted to single phylotypes was constructed f
rom 16S rRNA-encoding gene clone sequences. Three distinct populations
of uncultivated microbes, affiliated with the alpha- and beta-proteob
acteria, were subsequently monitored by FISH. About one-quarter of all
of the beta-proteobacteria (range, 6 to 53%) could be assigned to onl
y two phylotypes. The bacterial populations studied were annually recu
rrent, seasonally variable, and vertically stratified, except during t
he periods of lake overturn. Their variability clearly exceeded the fl
uctuations of the total microbial assemblage, suggesting that the appa
rent stability of total bacterioplankton abundances may mask highly dy
namic community fluctuations.