Changes in bacterioplankton composition under different phytoplankton regimens.
The results of empirical studies have revealed links between phytoplankton and bacterioplankton, such as the frequent correlation between chlorophyll a and bulk bacterial abundance and production. Nevertheless, little is known about possible links at the level of specific taxonomic groups. To investigate this issue, seawater microcosm experiments were performed in the northwestern Mediterranean Sea. Turbulence was used as a noninvasive means to induce phytoplankton blooms dominated by different algae. Microcosms exposed to turbulence became dominated by diatoms, while small phytoflagellates gained importance under still conditions. Denaturing gradient gel electrophoresis (DGGE) of 16S rRNA gene fragments showed that changes in phytoplankton community composition were followed by shifts in bacterioplankton community composition, both as changes in the presence or absence of distinct bacterial phylotypes and as differences in the relative abundance of ubiquitous phylotypes. Sequencing of DGGE bands showed that four Roseobacter phylotypes were present in all microcosms. The microcosms with a higher proportion of phytoflagellates were characterized by four phylotypes of the Bacteroidetes phylum: two affiliated with the family Cryomorphaceae and two with the family Flavobacteriaceae. Two other Flavobacteriaceae phylotypes were characteristic of the diatom-dominated microcosms, together with one Alphaproteobacteria phylotype (Roseobacter) and one Gammaproteobacteria phylotype (Methylophaga). Phylogenetic analyses of published Bacteroidetes 16S rRNA gene sequences confirmed that members of the Flavobacteriaceae are remarkably responsive to phytoplankton blooms, indicating these bacteria could be particularly important in the processing of organic matter during such events. Our data suggest that quantitative and qualitative differences in phytoplankton species composition may lead to pronounced differences in bacterioplankton species composition.
Pinhassi
Jarone
J
Institut de Ciències del Mar-CMIMA (CSIC), Barcelona, Catalunya, Spain. jarone.pinhassi@hik.se
Sala
Maria Montserrat
MM
Havskum
Harry
H
Peters
Francesc
F
Guadayol
Oscar
O
Malits
Andrea
A
Marrasé
Cèlia
C
D000818:Animals; D001419:Bacteria / Q000145:classification* / Q000235:genetics / Q000254:growth & development; D041963:Bacteroidetes / Q000145:classification / Q000235:genetics / Q000254:growth & development; D017377:Diatoms / Q000254:growth & development; D004141:Dinoflagellida / Q000254:growth & development; D017753:Ecosystem; D004586:Electrophoresis / Q000379:methods; D005068:Eutrophication / Q000502:physiology*; D020563:Gammaproteobacteria / Q000145:classification / Q000235:genetics / Q000254:growth & development; D008969:Molecular Sequence Data; D010802:Phylogeny; D010839:Phytoplankton / Q000145:classification* / Q000235:genetics / Q000254:growth & development; D010933:Plankton / Q000145:classification* / Q000235:genetics / Q000254:growth & development; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D041904:Roseobacter / Q000145:classification / Q000235:genetics / Q000254:growth & development; D012623:Seawater / Q000382:microbiology*; D017422:Sequence Analysis, DNA
D012336:RNA, Ribosomal, 16S