Effects of allochthonous dissolved organic matter input on microbial composition and nitrogen-cycling genes at two contrasting estuarine sites.

Heterotrophic bacteria are important drivers of nitrogen (N) cycling and the processing of dissolved organic matter (DOM). Projected increases in precipitation will potentially cause increased loads of riverine DOM to the Baltic Sea and likely affect the composition and function of bacterioplankton communities. To investigate this, the effects of riverine DOM from two different catchment areas (agricultural and forest) on natural bacterioplankton assemblages from two contrasting sites in the Baltic Sea were examined. Two microcosm experiments were carried out, where the community composition (16S rRNA gene sequencing), the composition of a suite of N-cycling genes (metagenomics) and the abundance and transcription of ammonia monooxygenase (amoA) genes involved in nitrification (quantitative PCR) were investigated. The river water treatments evoked a significant response in bacterial growth, but the effects on overall community composition and the representation of N-cycling genes were limited. Instead, treatment effects were reflected in the prevalence of specific taxonomic families, specific N-related functions and in the transcription of amoA genes. The study suggests that bacterioplankton responses to changes in the DOM pool are constrained to part of the bacterial community, whereas most taxa remain relatively unaffected.

Coupling biogeochemical process rates and metagenomic blueprints of coastal bacterial assemblages in the context of environmental change.

Bacteria are major drivers of biogeochemical nutrient cycles and energy fluxes in marine environments, yet how bacterial communities respond to environmental change is not well known. Metagenomes allow examination of genetic responses of the entire microbial community to environmental change. However, it is challenging to link metagenomes directly to biogeochemical process rates. Here, we investigate metagenomic responses in natural bacterioplankton communities to simulated environmental stressors in the Baltic Sea, including increased river water input, increased nutrient concentration, and reduced oxygen level. This allowed us to identify informative prokaryotic gene markers, responding to environmental perturbation. Our results demonstrate that metagenomic and metabolic changes in bacterial communities in response to environmental stressors are influenced both by the initial community composition and by the biogeochemical factors shaping the functional response. Furthermore, the different sources of dissolved organic matter (DOM) had the largest impact on metagenomic blueprint. Most prominently, changes in DOM loads influenced specific transporter types reflecting the substrate availability and DOC assimilation and consumption pathways. The results provide new knowledge for developing models of ecosystem structure and biogeochemical cycling in future climate change scenarios and advance our exploration of the potential use of marine microorganisms as markers for environmental conditions.

Development of a luciferase-based system for the detection of ZnT8 autoantibodies.

Appearance of autoantibodies represents the first detectable sign of autoimmune destruction of beta cells in type 1 diabetes (T1D). In addition, autoantibody levels represent an important predictive marker regarding the development of an autoimmune process. Recently, the zinc transporter (ZnT8) protein was identified as an autoimmune target in T1D; therefore, there is a need for reliable and simple methods for detection of ZnT8 autoantibodies. This report describes an assay designed to detect anti-ZnT8 autoantibodies in the serum of patients with T1D. This was carried out by generating a ZnT8 C-terminal dimer fused to the N-terminus of the Gaussia princeps luciferase that was overexpressed in insect cells using the baculovirus expression system. Recombinant protein was semi-purified and used as the target antigen in the liquid-phase luciferase immunoprecipitation system assay (LIPS), and results were compared to data obtained using a commercial ELISA designed to detect ZnT8 autoantibodies in T1D patient sera, particularly among adults. LIPS was less effective in detecting antibodies in children probably due to the relatively high prevalence of IgM anti-ZnT8 antibodies in children with T1D.