Dataset EVT 16s Data and Large Supplementary Files

Please cite as: McClure, R. and Janet Jansson. 2025. EVT 16s Data and Large Supplementary Files. [Data Set] PNNL DataHub. https://doi.org/10.25584/2530740.

This data is published under a CC0 license. The authors encourage data reuse and request attribution by referencing the above citations for the data package and associated manuscript.

Raw fastq files for 16s data for manuscript Multi-omics of a model bacterial consortium deciphers details of chitin decomposition in soil as well as raw count files data matrix and metadata description of samples.

Supplementary files 9, 10 and 11 for Multi-omics of a model bacterial consortium deciphers details of chitin decomposition in soil which were too large for an upload to the publishers website.

Abstract. Soil microorganisms often interact to carry out decomposition of complex organic carbon and nitrogen compounds, such as chitin, but the high diversity and complexity of the soil microbiome and habitat has posed a challenge to elucidating such interactions between soil microorganisms. Here, we seek to address this challenge through analysis of a model soil consortium (MSC-2) of eight soil bacterial species. Our aim was to elucidate specific roles of the member species during chitin metabolism. Samples were collected from MSC-2 incubated in chitin-enriched soil over three months. Multi-omics was used to understand how the community composition, transcripts, proteins and chitin decomposition shifted over time. The data clearly and consistently revealed a temporal shift during chitin decomposition with defined contributions by individual species. A Streptomyces genus member (sp001905665) was a key player in early steps of chitin decomposition, with other MSC-2 members being central in carrying out later steps. These results illustrate how multi-omics applied to a defined consortium untangles interactions between soil microorganisms.