title: Relationship between abundance and specific activity of bacterioplankton in open ocean surface waters.
abstract: Marine microbial communities are complex and dynamic, and their ecology impacts biogeochemical cycles in pelagic ecosystems. Yet, little is known about the relative activities of different microbial populations within genetically diverse communities. We used rRNA as a proxy for activity to quantify the relative specific activities (rRNA/ribosomal DNA [rDNA or rRNA genes]) of the eubacterial populations and to identify locations or clades for which there are uncouplings between specific activity and abundance. After analyzing 1.6 million sequences from 16S rDNA and rRNA (cDNA) libraries from two euphotic depths from a representative site in the Pacific Ocean, we show that although there is an overall positive relationship between the abundances (rDNAs) and activities (rRNAs) among populations of the bacterial community, for some populations these measures are uncoupled. Different ecological strategies are exemplified by the two numerically dominant clades at this site: the cyanobacterium Prochlorococcus is abundant but disproportionately more active, while the heterotrophic SAR11 is abundant but less active. Other rare populations, such as Alteromonas, have high specific activities in spite of their low abundances, suggesting intense population regulation. More detailed analyses using a complementary quantitative PCR (qPCR)-based approach of measuring relative specific activity for Prochlorococcus populations in the Pacific and Atlantic Oceans also show that specific activity, but not abundance, reflects the key drivers of light and nutrients in this system; our results also suggest substantial top-down regulation (e.g., grazing, viruses, or organismal interactions) or transport (e.g., mixing, immigration, or emigration) of these populations. Thus, we show here that abundance and specific activity can be uncoupled in open ocean systems and that describing both is critical to characterizing microbial communities and predicting marine ecosystem functioning and responses to change.
authors.affiliation: Marine Laboratory, Nicholas School of the Environment, Duke University, Beaufort, North Carolina, USA.
authors.forename: Dana E
authors.initials: DE
authors.lastname: Hunt
authors.forename: Yajuan
authors.initials: Y
authors.lastname: Lin
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Church
authors.forename: David M
authors.initials: DM
authors.lastname: Karl
authors.forename: Susannah G
authors.initials: SG
authors.lastname: Tringe
authors.forename: Lisa K
authors.initials: LK
authors.lastname: Izzo
authors.forename: Zackary I
authors.initials: ZI
authors.lastname: Johnson
mesh_terms: D001419:Bacteria / Q000145:classification* / Q000378:metabolism*; D058448:Biota; D016000:Cluster Analysis; D010140:Pacific Ocean; D010802:Phylogeny; D010933:Plankton / Q000378:metabolism* / Q000382:microbiology*; D012329:RNA, Bacterial / Q000235:genetics; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D012623:Seawater / Q000382:microbiology*
chemical_list: D012329:RNA, Bacterial; D012336:RNA, Ribosomal, 16S