US Long-Term Ecological Research Network
Microbial Observatory at North Temperate Lakes LTER High-resolution temporal and spatial dynamics of microbial community structure in freshwater bog lakes 2005 - 2009 original format

Abstract

The North Temperate Lakes - Microbial Observatory seeks to study freshwater microbes over long time scales (10+ years). Observing microbial communities over multiple years using DNA sequencing allows in-depth assessment of diversity, variability, gene content, and seasonal/annual drivers of community composition. Combining information obtained from DNA sequencing with additional experiments, such as investigating the biochemical properties of specific compounds, gene expression, or nutrient concentrations, provides insight into the functions of microbial taxa. Our 16S rRNA gene amplicon datasets were collected from bog lakes in Vilas County, WI, and from Lake Mendota in Madison, WI. Ribosomal RNA gene amplicon sequencing of freshwater environmental DNA was performed on samples from Crystal Bog, North Sparkling Bog, West Sparkling Bog, Trout Bog, South Sparkling Bog, Hell’s Kitchen, and Mary Lake. These microbial time series are valuable both for microbial ecologists seeking to understand the properties of microbial communities and for ecologists seeking to better understand how microbes contribute to ecosystem functioning in freshwater.
Dataset ID
349

Data Citation Suggestion

McMahon, K., S. Jones, A. Shade, R. Newton, E. Read, L. Beversdorf, R. Rohwer, B. Peterson, A. Linz, E. McDaniel, G. Wolf, and S. Schmitz. 2019. Microbial Observatory at North Temperate Lakes LTER High-resolution temporal and spatial dynamics of microbial community structure in freshwater bog lakes 2005 - 2009 original format ver 4. Environmental Data Initiative. https://doi.org/10.6073/pasta/4b64d5c6bc2a597a39d4b49ca7f02215. Accessed 2021-03-02.

Data Download

Relative abundance of different OTUs (Operational Taxonomic Unit) at different times and different lakes.
Lake parameters measured during microbial sampling
taxonomic classification of OTUs sampled
other descriptive parameters for the OTU observations