Our facilities

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212 Votey

The lab is located at room 212 in Votey Hall. The lab includes equipment and supplies for growing microbial communities with multiple bioreactor configurations. The lab also includes all of the equipment needed to extract and purify DNA, RNA, and proteins which we use for metagenomics, metatranscriptomics, and metaproteomics, respectively.

Bioreactors. Bioreactors are the heart of the lab. We have experience operating complex bioreactor systems with rigorous instrumentation and controls, but we also value cobbled together bioreactors made from spare tubing and used soda bottles. We also assess full-scale bioreactors throughout Vermont.

GC-MS/MS. Our GC-MS/MS allows us to identify and quantify a wide range of fermentation products, environmental chemicals, and metabolites. This instrument performs both liquid and head-space injections.

GC-TCDs. We also have a a GC with dual TCDs. We use this GC for monitoring headspace gasses in bioreactors, including carbon dioxide, hydrogen, and methane.

Biochemistry Analyzer. Our YSI Biochemistry Analyzer allows us to quickly assess fermentations by tracking key substrates and intermediates. We can pull samples directly from bioreactors and have results in a few minutes.

Nucleic Acid Extraction, Purification, and Quantification. Nucleic acid extraction from complex environmental samples can be challenging, especially for downstream processes that require high quality, high quantity, and high purity DNA or RNA. We do most extraction in-house and have experience developing protocols for challenging environmental matrices.

Other Testing. In addition to the testing described above, we perform routine environmental testing including nutrients (N and P compounds), total carbohydrates, total proteins, total fats, and chemical

Sequencing facilities

Nucelotide sequencing will be performed with the Vermont Genetics Network or at the UVM College of Medicine. The Vermont Genetics Network also performs proteomics.

Computational resources

The Vermont Advanced Computing Core houses the computational resources that we use for analyzing sequencing data, including workflows for 16S rRNA gene amplicon sequencing analyses, metagenomics, metatranscriptomics, and phylogenetic analyses.