Project description:Current advances in genomics and computational biology have afforded novel insight as to how the phenotype is generated from the genotype – systems biology. We argue that systems biology, when viewed through an ecological lens, provides an unprecedented opportunity to understand how genes cascade through multiple levels of biological organization to alter ecosystem function. To test this approach, we established six monocultures of Arabidopsis thaliana ‘Columbia’- wild-type plants, six monocultures of a single gene variant (mutant) to the wild-type, and six mixtures with equal density plantings of each genotype in mesocosm chambers (50 x 50 x 45 cm). The mutant harbored a T-DNA insertion in the main nitrate reductase gene (nia2). This is the gateway enzyme for N metabolism, which resulted in activity levels that were 38% of the wild-type. Mesocosms were instrumented to monitor soil and air temperature, water and humidity status, and CO2 differentials. Transcript expression profiles were generated for each of the monoculture populations by collecting and processing 100 leaves per mesocosm at generation 2 and 4.
Project description:Current advances in genomics and computational biology have afforded novel insight as to how the phenotype is generated from the genotype – systems biology. We argue that systems biology, when viewed through an ecological lens, provides an unprecedented opportunity to understand how genes cascade through multiple levels of biological organization to alter ecosystem function. To test this approach, we established six monocultures of Arabidopsis thaliana ‘Columbia’- wild-type plants, six monocultures of a single gene variant (mutant) to the wild-type, and six mixtures with equal density plantings of each genotype in mesocosm chambers (50 x 50 x 45 cm). The mutant harbored a T-DNA insertion in the main nitrate reductase gene (nia2). This is the gateway enzyme for N metabolism, which resulted in activity levels that were 38% of the wild-type. Mesocosms were instrumented to monitor soil and air temperature, water and humidity status, and CO2 differentials. Transcript expression profiles were generated for each of the monoculture populations by collecting and processing 100 leaves per mesocosm at generation 2 and 4. Design: Expression profiles were generated for each monoculture population by pooling 100 leaves per mesocosm into one sample. This resulted in 6 biological replicates for each genotype per generation. Thus, a total of 48 samples were generated (6 wild-type + 6 nia2 mutants x 2 generations x 2 CO2 treatments) and hybridized onto microarrays. We used a direct loop design analyzing generations separately (diagrams of hybridization designs are linked as supplementary PDF files).
Project description:Sequencing the metatranscriptome can provide information about the response of organisms to varying environmental conditions. We present a methodology for obtaining random whole-community mRNA from a complex microbial assemblage using Pyrosequencing. The metatranscriptome had, with minimum contamination by ribosomal RNA, significant coverage of abundant transcripts, and included significantly more potentially novel proteins than in the metagenome. Keywords: metatranscriptome, mesocosm, ocean acidification
Project description:Sequencing the metatranscriptome can provide information about the response of organisms to varying environmental conditions. We present a methodology for obtaining random whole-community mRNA from a complex microbial assemblage using Pyrosequencing. The metatranscriptome had, with minimum contamination by ribosomal RNA, significant coverage of abundant transcripts, and included significantly more potentially novel proteins than in the metagenome. Keywords: metatranscriptome, mesocosm, ocean acidification This experiment is part of a much larger experiment. We have produced 4 454 metatranscriptomic datasets and 6 454 metagenomic datasets. These were derived from 4 samples. The experiment is an ocean acidification mesocosm set up in a Norwegian Fjord in 2006. We suspended 6 bags containing 11,000 L of sea water in a Coastal Fjord and then we bubbled CO2 through three of these bags to simulate ocean acidification conditions in the year 2100. The other three bags were bubbled with air. We then induced a phytoplankton bloom in all six bags and took measurements and performed analyses of phytoplankton, bacterioplankton and physiochemical characteristics over a 22 day period. We took water samples from the peak of the phytoplankton bloom and following the decline of the phytoplankton bloom to analyses using 454 metagenomics and 454 metatranscriptomics. Day 1, High CO2 Bag and Day 1, Present Day Bag, refer to the metatranscriptomes from the peak of the bloom. Day 2, High CO2 Bag and Day 2, Present Day Bag, refer to the metatranscriptomes following the decline of the bloom. Obviously High CO2 refers to the ocean acidification mesocosm and Present Day refers to the control mesocosm. Raw data for both the metagenomic and metatranscriptomic components are available at NCBI's Short Read Archive at ftp://ftp.ncbi.nlm.nih.gov/sra/Studies/SRP000/SRP000101
Project description:Mesocosms (600 L) were deployed at the Southern Ocean Time Series (SOTS) in Austral late summer during a high nutrient, low chlorophyll period. One mesocosm represented control, present-day conditions (high nutrients/low temperature/low pCO2/low Fe/low irradiance), while the other was amended to represent a projected 2100 scenario (low nutrients/high temperature/high pCO2/high Fe/high irradiance). Approximately 2 L were filtered from the mesocosms onto 5 µm filters at Days 0, 2, 4, and 7 of the incubation.
Project description:Connecting genes to phenotypic traits in bacteria is often challenging because of a lack of environmental cues in laboratory settings. However, laboratory-based model ecosystems offer a means to better account for natural conditions compared to standard planktonic cultures, aiding in the linking of genotypes and phenotypes. Here, we present a simple, cost-effective, laboratory-based model ecosystem to study aerobic methane-oxidizing bacteria (methanotrophs). This system, referred to as the gradient syringe, is made by inoculating bacteria into semi-solid agarose held within a disposable syringe. Empty space at one end of the syringe is flushed with methane gas, while the other end is open to the atmosphere through a sterile filter. We show this system replicates the methane-oxygen counter gradient typically found in the natural soil environment of methanotrophs. Culturing the methanotroph Methylomonas sp. strain LW13 in this system produced a distinct horizontal band at the intersection of the counter gradient, which we discovered was due not to increased cell growth at this location but instead to an increased amount of extracellular polymeric substances (EPS). We also discovered that different methanotrophic taxa formed EPS bands with distinct locations and morphologies when grown in the methane-oxygen counter gradient. By comparing transcriptomic data from LW13 growing within and surrounding this EPS band, we identified genes implicated in cell growth and EPS formation within the gradient syringe, and validated the involvement of these genes with knockout strains. This work highlights the use of a laboratory-based model ecosystem that more closely mimics the natural environment to uncover methanotroph phenotypes missing from standard planktonic cultures, and link these phenotypes their genetic determinants.