A dataset from a study investigating rhizosphere bacterial communities associated with cowpea, tepary bean, and sunn hemp cover crops compared to fallow soils. The data was generated using 16S rRNA amplicon sequencing and functional predictions via PICRUSt2, authored by Sri Kiran Reddy Alla and last updated in May 2026. The file is 14.0 KB in size and contains results showing shifts in bacterial composition and predicted functional pathways.
Use Cases
- Compare bacterial community composition between legume species and fallow soils based on 16S rRNA sequencing data.
- Analyze predicted functional pathways related to carbon metabolism and nitrogen cycling in rhizospheres.
- Investigate species-specific recruitment patterns of bacterial taxa, such as Rhizobiales, mentioned in the description.
- Model relationships between cover crop selection and shifts in copiotrophic versus oligotrophic bacterial groups.
Strengths
- Data is derived from a controlled study using 16S rRNA amplicon sequencing, a standard method in microbial ecology.
- Functional predictions were made using PICRUSt2, providing inferred metabolic pathway data.
- The dataset is openly licensed under CC-BY-4.0, permitting reuse with attribution.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for statistical modeling.
- The dataset is very small at 14.0 KB, indicating limited scope or a summary table rather than raw sequence data.
Provenance
- Source
- figshare
- Collection Method
- 16S rRNA amplicon sequencing and bioinformatic analysis with PICRUSt2 for functional prediction.
- Time Range
- null
- Freshness
- Last updated 2026-05-01 15:41:56; freshness should be verified.
- Geography
- null