Project description:We established simple synthetic microbial communities in a microcosm model system to determine the mechanisms that underlay cross-feeding in microbial methane-consuming communities. Co-occurring strains from Lake Washington sediment were used that are involved in methane consumption, a methanotroph and two non-methanotrophic methylotrophs.
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:In order to identify gene expression difference between marine and freshwater stickleback populations, we compared the transcriptomes of seven adult tissues (eye, gill, heart, hypothalumus, liver, pectoral muscle, telencephalon) between a marine population sampled from the mouth of the Little Campbell river in British Columbia (LITC) and a freshwater population (Fishtrap Creek, FTC) from northern Washington. For each population, the sampled individuals were the lab-reared progeny of a single pair of wild-caught parents. Four to five fish from each population were used as biological replicates for each of the seven tissues. For each population, the sampled individuals were the lab-reared progeny of a single pair of wild-caught parents. All fish were of similar age and were raised in the same aquarium (salinity: 3.5 ppt), with a plastic divider separating the marine and freshwater groups. One male and four females were sampled from each population. Microarray experiments were performed in a 2-color format on custom Agilent arrays: experimental RNA samples were labeled with Cy5, and the common reference RNA sample was labeled with Cy3. The reference RNA was total RNA isolated from a large number of 7-day-post-hatch embryos from the freshwater population of Bear Paw Lake, Alaska (BEPA). One technical replicate was used for each array, and one of the hypothalamus samples (Hyp_FTC#3) was excluded from further analysis due to poor quality indicators. FTC#1 liver and LITC#2 pectoral muscle samples did not yield RNA of sufficient quality for the microarray experiment, and were also excluded from hybridization.
Project description:Eutrophication can lead to an uncontrollable increase in algal biomass, which has repercussions for the entire microbial and pelagic community. Studies have shown how nutrient enrichment affects microbial species succession, however details regarding the impact on community functionality are rare. Here, we applied a metaproteomic approach to investigate the functional changes to algal and bacterial communities, over time, in oligotrophic and eutrophic conditions, in freshwater microcosms. Samples were taken early during algal and cyanobacterial dominance and later under bacterial dominance. 1048 proteins, from the two treatments and two timepoints, were identified and quantified by their exponentially modified protein abundance index. In oligotrophic conditions, Bacteroidetes express extracellular hydrolases and Ton-B dependent receptors to degrade and transport high molecular weight compounds captured while attached to the phycosphere. Alpha- and Beta-proteobacteria were found to capture different substrates from algal exudate (carbohydrates and amino acids, respectively) suggesting resource partitioning to avoid direct competition. In eutrophic conditions, environmental adaptation proteins from cyanobacteria suggested better resilience compared to algae in a low carbon nutrient enriched environment. This study provides insight into differences in functional microbial processes between oligo- and eutrophic conditions at different timepoints and highlights how primary producers control bacterial resources in freshwater environments.
Project description:Background: The soil environment is responsible for sustaining most terrestrial plant life on earth, yet we know surprisingly little about the important functions carried out by diverse microbial communities in soil. Soil microbes that inhabit the channels of decaying root systems, the detritusphere, are likely to be essential for plant growth and health, as these channels are the preferred locations of new root growth. Understanding the microbial metagenome of the detritusphere and how it responds to agricultural management such as crop rotations and soil tillage will be vital for improving global food production. Methods: The rhizosphere soils of wheat and chickpea growing under + and - decaying root were collected for metagenomics sequencing. A gene catalogue was established by de novo assembling metagenomic sequencing. Genes abundance was compared between bulk soil and rhizosphere soils under different treatments. Conclusions: The study describes the diversity and functional capacity of a high-quality soil microbial metagenome. The results demonstrate the contribution of the microbiome from decaying root in determining the metagenome of developing root systems, which is fundamental to plant growth, since roots preferentially inhabit previous root channels. Modifications in root microbial function through soil management, can ultimately govern plant health, productivity and food security.