Soil Metagenomic Data on Carbon and Nitrogen Cycling Genes Under Fertilizer Regimes

Six fertilization regimes, including 100% organic fertilizer (OF100), 100% chemical fertilizer (OF0), and four organic-inorganic combinations, were tested on bulk and rhizosphere soils of Glycyrrhiza uralensis (licorice). The dataset, created by Guochen Liao and last updated in May 2026, contains metagenomic sequencing results measuring the abundance of functional genes related to carbon and nitrogen cycling, such as pmoA/amoA, pel, cbh, mttA, malZ, nirK, pccA, and GDH.

Use Cases

• Modeling the impact of organic fertilizer substitution on soil carbon fixation potential based on pccA gene abundance.
• Assessing the risk of nitrogen loss under different fertilization regimes based on nirK gene profiles.
• Comparing microbial functional gene profiles between bulk and rhizosphere soil compartments, which explained 62.87% of the variation.
• Optimizing fertilizer blends for licorice cultivation by analyzing correlations between gene abundance and soil properties/growth traits.

Strengths

• Includes data from six distinct fertilization regimes, allowing for comparative analysis.
• Quantifies the relative contribution of soil compartment (62.87%) versus fertilization regime (11.10%) to functional gene variation.
• Explicitly measures the abundance of specific functional genes like pmoA/amoA, mttA, and nirK.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (739.8 KB), indicating a limited scope, likely from a single experimental study.

Provenance

Source

figshare

Collection Method

Metagenomic sequencing of soil samples under controlled fertilization treatments.

Freshness

Last updated 2026-05-12 05:42:37; freshness should be verified.