Project description:Marine snow plays a central role in carbon cycling. It consists of organic particles and particle-associated (PA) microbMarine snow plays a central role in carbon cycling. It consists of organic particles and particle-associated (PA) microbial communities that are embedded in a sugary matrix. Metaproteomic analysis offers the unique opportunity to gain unprecedented insight into the microbial community composition and biomolecular activity of environmental samples. In order to realize this potential for marine PA microbial communities, new methods of protein extraction must be developed. In this study, we used 1D-SDS-PAGEs and LC-MS/MS to compare the efficiency of six established protein extraction protocols for their applicability of metaproteomic analyses of the PA microbial community in the North Sea. A combination of SDS-buffer extraction and bead beating resulted in the greatest number of identified protein groups. As expected, a metagenomic database of the same environmental sample increased the number of protein identification by approximately 50%. To demonstrate the application of our established protocol, particulate bacterioplankton samples collected during spring phytoplankton bloom in 2009 near the island Helgoland, were analysed by a GeLC-MS/MS-based metaproteomic approach. Our results indicated that there are only slight differences in the taxonomical distribution between free-living (FL) and PA bacteria but that the abundance of protein groups involved in polysaccharide degradation, motility and particle specific stress (oxygen limitation, nutrient limitation, heavy metal stress) is higher in the PA fractions. ial communities that are embedded in a sugary matrix. Metaproteomic analysis offers the unique opportunity to gain unprecedented insight into the microbial community composition and biomolecular activity of environmental samples. In order to realize this potential for marine PA microbial communities, new methods of protein extraction must be developed. In this study, we used 1D-SDS-PAGEs and LC-MS/MS to compare the efficiency of six established protein extraction protocols for the their applicability of metaproteomic analyses of the PA microbial community in the North Sea. A combination of SDS-buffer extraction and bead beating resulted in the greatest number of identified protein groups. As expected, a metagenomic database of the same environmental sample increased the number of protein identification by approximately 50%. To demonstrate the application of our established protocol, particulate bacterioplankton samples collected during spring phytoplankton bloom in 2009 near the island Helgoland, were analysed by a GeLC-MS/MS-based metaproteomic approach. Our results indicated that there are only slight differences in the taxonomical distribution between free-living (FL) and PA bacteria but that the abundance of protein groups involved in polysaccharide degradation, motility and particle specific stress (oxygen limitation, nutrient limitation, heavy metal stress) is higher in the PA fractions.

Project description:The fraction of dissolved dimethylsulfoniopropionate (DMSPd) converted by marine bacterioplankton into the climate-active gas dimethylsulfide (DMS) varies widely in the ocean, with the factors that determine this value still largely unknown. One current hypothesis is that the ratio of DMS formation:DMSP demethylation is determined by DMSP availability, with 'availability' in both an absolute sense (i.e., concentration in seawater) and in a relative sense (i.e., proportionally to other labile organic S compounds) being proposed as the critical factor. We investigated these models during an experimentally-induced phytoplankton bloom using an environmental microarray targeting DMSP-related gene expression in the Roseobacter group, a taxon of marine bacteria known to play an important role in the surface ocean sulfur cycle. The array consisted of 1,578 probes to 431 genes, including those previously linked to DMSP degradation as well as core genes common in sequenced Roseobacter genomes. The prevailing pattern of Roseobacter gene expression showed depletion of DMSP-related transcripts during the peak of the bloom, despite the fact that absolute concentrations and flux of DMSP-related compounds were increasing. A likely interpretation is that DMSPd was assimilated by Roseobacter populations in proportion to its relative abundance in the organic matter pool (the “relative sense” hypothesis), and that it is not taken up in preference to other sources of labile organic sulfur or carbon produced during the bloom. The relative investment of the Roseobacter community in DMSP demethylation did not predict the fractional conversion of DMSP to DMS, however, suggesting a complex regulatory process that may involve multiple fates of DMSPd. DMSP-related gene expression in the Roseobacter group was investigated using an environmental microarray. Coastal seawater from the Gulf of Mexico was collected and dispensed into 20-L microcosms. Two replicate cubitainers were amended with nutrients (N and P) to stimulate phytoplankton bloom, while two untreated cubitainers served as controls. The microcosms were incubated at 27ºC in a temperature-controlled incubator on a 12 h light/dark cycle for total of 7 days. Ten RNA samples (Day 0: 2 conditions with 1 biological replicate each; Days 2 and 4: 2 conditions with 2 biological replicates each) were prepared for microarray hybridization. After total RNA extraction, rRNAs were removed and mRNA transcripts were amplified and labeled with Alexa Fluor 647. Two technical replicates were hybridized from each RNA sample. The microarray was designed based on selected Ruegeria pomeroyi DSS-3 genes and their orthologs in 12 other sequenced Roseobacter genomes. Probes were designed from the orthologs using the Hierarchical Probe Design (HPD) algorithm.

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