Rhodococcus ruber KH-1 Biodegradation Data for BTEX and Pyridine Pollutants
by Yuan-Zhang Sun·Updated 1mo ago
5.9 MB5files
Available on 1 platform
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Description
A salt-tolerant Rhodococcus ruber strain KH-1, isolated from printing wastewater in Tai’an, Shandong Province, can degrade 80 mg/L of benzene, 40 mg/L of toluene, 50 mg/L of ethylbenzene, 40 mg/L of xylene, or 40 mg/L of pyridine within 72 hours. The dataset includes genomic sequencing results identifying 11 genes potentially involved in degradation pathways and application data showing COD and pollutant reduction in real wastewater. Author Yuan-Zhang Sun published the data on figshare in April 2026 under a CC-BY-4.0 license.
Use Cases
Modeling biodegradation kinetics based on pollutant concentration data over time.
Identifying candidate genes for metabolic engineering based on the 11 genes linked to degradation pathways.
Benchmarking bioremediation performance based on COD and specific pollutant removal rates from real wastewater tests.
Studying microbial salt tolerance based on growth and degradation data across a 0%–5% salinity range.
Strengths
Includes specific degradation rates for five key pollutants (e.g., 80 mg/L benzene in 72h).
Contains genomic data (FNA files) with identified candidate genes for metabolic pathways.
Demonstrates real-world application with results from treating actual printing wastewater.
Quantifies performance under specific environmental conditions (e.g., 3% salinity).
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for large-scale modeling.
The dataset is small (5.9 MB), potentially limiting the scope of analysis.
Provenance
Source
figshare, author Yuan-Zhang Sun.
Collection Method
Experimental data from isolating and characterizing a bacterial strain, including genomic sequencing and wastewater treatment trials.
Freshness
Last updated 2026-04-19 02:40:04; freshness should be verified.
Geography
Strain isolated from a printing plant in Tai’an, Shandong Province, China.
Data is provided in XLS and FNA formats; genomic data in FNA format may require bioinformatics tools for analysis.