WA-IsoC_MSC1.1.0 (Amplicon 16S rRNA, WA)

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The soil microbiome is central to the cycling of carbon and other nutrients and to the promotion of plant growth. Despite its importance, analysis of the soil microbiome is difficult due to its sheer complexity, with thousands of interacting species. Here, we reduced this complexity by developing model soil microbial consortia that are simpler and more amenable to experimental analysis but still represent important microbial functions of the native soil ecosystem. Samples were collected from an arid grassland soil and microbial communities (consisting mainly of bacterial species) were enriched on agar plates containing chitin as the main carbon source. Chitin was chosen because it is an abundant carbon and nitrogen polymer in soil that often requires the coordinated action of several microorganisms for complete metabolic degradation. Several soil consortia were derived that had tractable richness (30-50 OTUs) with diverse phyla representative of the native soil, including Actinobacteria, Bacteroidetes, Firmicutes, Proteobacteria and Verrucomicrobia. The resulting consortia can be stored as glycerol or lyophilized stocks at -80° C and revived while retaining community composition, greatly increasing their use as tools for the research community at large. One of the consortia that was particularly stable was chosen as a model soil consortium (MSC-1) for further analysis. MSC-1 species interactions were studied using both pairwise co-cultivation in liquid media and during growth in soil under several perturbations. Co-abundance analyses highlighted interspecies interactions and helped to define keystone species, including Mycobacterium, Rhodococcus, and Rhizobiales taxa. These experiments demonstrate the success of an approach based on naturally enriching a community of interacting species that can be stored, revived, and shared. The knowledge gained from querying these communities and their interactions will enable better understanding of the soil microbiome and the roles these interactions play in this environment.

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Amplicon sequencing of PCR products for investigating genetic variant identification and characterization of specific genomic regions. The versions described in here are the first version. Dataset package includes amplicon 16S rRNA fastq files, supplementary information tables, MIxS/MIMARKS.soil.5.0 metadata information, R markdown, and a dataset “Read Me” file.

  • WA-IsoC MSC1.1.0 Initial Consortia [11.36 GB; 768 items]
  • WA-IsoC MSC1.1.0_Reconstitution Consortia [2.05 GB; 146 items]
  • WA-IsoC MSC1.1.0 Isolates of Consortia [1.7 GB; 118 items]
  • WA-IsoC MSC1.1.0 MSC1 in Soil [5.24 GB; 560 items]
  • WA-IsoC MSC1.1.0 Amplicon 16S Dataset Key

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Cite as: McClure, Ryan, and Anderson, Lindsey. WA-IsoC_MSC1.1.0. United States. 2020. https://doi.org/10.25584/WAIsoCMSC1/1635272

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Lindsey Anderson’s research has been dedicated to the identification and characterization of novel, targeted and non-targeted, functional metabolic interactions using a high-throughput systems biology and computational biology approach. Her expertise in functional metabolism and multidisciplinary...

Dr. Jason McDermott, senior research scientist, has extensive research experience in molecular and structural virology and data resource design, data integration and prediction of biological networks, bridging experimental and computational biology. Currently, his research interests include data...

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