Project description:Aquatic microbial communities contain a vast amount of genetic diversity and we have much to learn about how this manifests to functional diversity. Existing long-term time series data includes 16S tags, metagenomes, single amplified genomes (SAGs), and genomes from metagenomes (GFMs). Information about functional diversity and metabolic capabilities is often unavailable. The study sites include three lakes that are the subject of intense study through the North Temperate Lakes Long Term Ecological Research site: Sparkling Lake (oligotrophic), Lake Mendota (eutrophic), and Trout Bog Lake (dystrophic).
The work (proposal:https://doi.org/10.46936/10.25585/60000947) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.
2023-11-02 | MSV000093272 | MassIVE
Project description:metagenome assembly of PRJNA473595 data set (Wolf lichen metagenomes and metatranscriptomes).
Project description:This data is a case study done in the context of developing methods for assessing the taxonomic composition of microbial communities using metaproteomics. For this study with analyzed phototrophic biomats from two Soda Lakes in the Canadian Rocky Mountains using metaproteomics. For protein identification we generated a metagenome from which we predicted and annotated the protein sequences used to analyze the metaproteomes. The database is available in this PRIDE submission. Lake1 refers to Goodenough Lake (GEM, 51°19'47.64"N 121°38'28.90"W) and Lake2 referes to Last Chance Lake (LCM, 51°19'39.3" N 121°37'59.3"W).
Project description:Bacterium Sphingomonas glacialis AAP5 isolated from the alpine lake Gossenköllesee contains genes for anoxygenic phototrophy as well as proton-pumping xanthorhodopsin. Here we show that AAP5 expresses xanthorhodopsin when illuminated at temperatures below 16°C. In contrast bacteriochlorophyll-containing reaction centers are expressed between 4 and 22°C in the dark. Thus, cells grown at lower temperature under natural light-dark cycle produced both photosystems. The purified xanthorhodopsin contains carotenoid nostoxanthin serving as an auxiliary antenna and performs the standard photocycle. The xanthorhodopsin-containing cells reduced upon illumination their respiration, increased their ATP synthesis and produced more biomass. This documents that the harvested light energy was utilized in the metabolism, which can represent a competitive advance under carbon-limiting conditions. The presence of Sphingomonas bacteria with dual phototrophy was verified in the metagenomes collected from lake Gossenköllesee. This unique trait may represent a metabolic advantage in alpine lakes where photoheterotrophic organisms facelimited organic substrates, low temperature, and extreme changes in irradiance.
Project description:The microbiome has a strong impact on human health and disease and is therefore increasingly studied in a clinical context. Metaproteomics is also attracting considerable attention and such data can be efficiently generated today owing to improvements in mass spectrometry based proteomics. As we will discuss in this study, there are still major challenges notably in data analysis that need to be overcome. Here, we analyzed 212 fecal samples from 56 hospitalized acute leukemia patients with multidrug-resistant Enterobactericeae (MRE) colonization using metagenomics and metaproteomics. This is one of the largest clinical metaproteomic studies to date and the first addressing the gut microbiome in MRE colonized acute leukemia patients. Based on this substantial data set, we discuss major current limitations in clinical metaproteomic data analysis to provide guidance to researchers in the field. Notably, the results show that public metagenome databases are incomplete and that sample-specific metagenomes improve results. Furthermore, biological variation is tremendous which challenges clinical study designs and argues that longitudinal measurements of individual patients are a valuable addition to the analysis of patient cohorts.
