Lost and Found: Rediscovering Microbiome-Associated Phenotypes that Reshape Agricultural Sustainability

Themes: Sustainability

Keywords: Agroecosystem, Metabolomics, Microbiome, RNA Sequencing

Citation

Favela, A., Kent, A.D., Sible, C.N., Flint-Garcia, S., Klimasmith, I.M., Mujjabi, C., Raglin, S.S., Below, F.E., Bohn, M.O. Jan. 1, 2026. Data from: “Lost and Found: Rediscovering Microbiome-Associated Phenotypes that Reshape Agricultural Sustainability.” Zenodo. DOI: 10.5281/zenodo.17656460.

Overview

Rhizosphere microbiome traits segregate and map like classic quantitative traits in a maize-teosinte genetic framework.

Code and data repository for NIL Manuscript. Documentation includes sequence processing examples and data analysis. Supplemental sequence processing and R statistical analysis for publication, which compares the microbiome of teosinte-B73 Near Isogenic Lines.

Sample Data

Amplicon sequence data for 16S rRNA genes, the fungal ITS2 region, and nitrogen-cycling functional genes are available through the NCBI Sequence Read Archive (SRA) under accession number PRJNA1042643 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1042643 ). Raw metabolomic data are available on Metabolomics Workbench, Project ID: PR002654. This study is available at the NIH Common Fund’s National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org where it has been assigned Study ID ST004211. The data can be accessed directly via its Project DOI: http://dx.doi.org/10.21228/M8KV8T.

Data

Zenodo:  Code, functional data

NCBI – BioProject:  Raw sample data

Metabolomics Workbench:  Maize root exduate metabolomics data

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