AI Article Synopsis

  • The study investigated the effects of different percentages of biochar and compost on soil contaminated with heavy metals (Cu, Pb, and Zn) over a 120-day incubation period.
  • It focused on the abundance of certain denitrifying genes and ammonia-oxidizing genes, analyzing their relationship with soil nitrite reductase activity and multiple physico-chemical parameters using the Pearson correlation method.
  • Results showed that changes in properties like water-soluble organic carbon, nitrate, and ammonium significantly influenced gene abundance, revealing insights into the biological mechanisms of the nitrogen cycle in remediated heavy metal soils.

Article Abstract

Sixteen treatments of soil contaminated by Cu, Pb, and Zn by the addition of a different percentage of biochar and compost were incubated for 120 days. The abundance of denitrifying genes such as narG, nirK, nirS and nosZ and the ammonia-oxidizing amoA genes of ammonia-oxidizing archaea/bacteria (AOA/AOB), soil nitrite reductase activity (S-NiR) and their shaping factors were also determined. The relationships between functional genes, S-NiR, and physico-chemical parameters were analyzed using the Pearson correlation method. The study found that the changes in physico-chemical parameters, including water-soluble organic carbon (WSC), nitrate (NO) and ammonium (NH), were predominant in different treatments. The abundance of nirK and narG genes is most sensitive to the changes in the properties of the soil sample. Bacterial 16S rDNA gene abundance was significantly affected by NO and S-NiR (P < 0.05). Nitrifying genes were mainly correlated to WSC and S-NiR, while denitrifying genes were associated with pH, electrical conductivity, NO and S-NiR. The systematic study for the relationship between the genes and the environmental parameters will help us to deep understand the biological mechanisms of nitrogen cycle in heavy metal contaminated soils remediated by biochar and compost.

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http://dx.doi.org/10.1016/j.scitotenv.2018.10.152DOI Listing

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