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Distribution Patterns of nir S-Encoding and nir K-Encoding Denitrifiers in the Surface Sediment of the Pearl River Estuary
Russian Journal of Marine Biology ( IF 0.6 ) Pub Date : 2020-02-10 , DOI: 10.1134/s1063074019060099 Rongjun Shi , Honghui Huang , Zhanhui Qi , Tingting Han
中文翻译:
珠江口表层沉积物中Nir S-编码和nir K-编码反硝化剂的分布规律
更新日期:2020-02-10
Russian Journal of Marine Biology ( IF 0.6 ) Pub Date : 2020-02-10 , DOI: 10.1134/s1063074019060099 Rongjun Shi , Honghui Huang , Zhanhui Qi , Tingting Han
Abstract
The abundance and community structure of nirS-encoding and nirK-encoding denitrifiers inhabiting the sediment of the Pearl River Estuary was examined with quantitative PCR and high-throughput MiSeq sequencing. The results indicated that the low-oxygen condition (around 4 mg/L) of the Pearl River Estuary was the suitable environment for the denitrifying bacterial growth, and the abundances of nirS-encoding and nirK-encoding denitrifier were both highest in station P3, while the diversity and evenness were highest in stations P2 and P4, respectively. In addition, gene abundance and diversity of nirS was higher than nirK, which indicated that the denitrifying potential of nirS-encoding denitrifiers were significantly greater than that of nirK-encoding denitrifiers (p < 0.05). The most dominant nirS-encoding denitrifiers present in the sediment samples belonged to the phylum Proteobacteria, followed by Chloroflexi. However, the dominant classes of Betaproteobacteria and Gammaproteobacteria showed obvious salinity heterogeneity along the Pearl River Estuary. Betaproteobacteria have a strong survival ability in oligohaline environments and Gammaproteobacteria were opposite. Additionally, the distribution of both Betaproteobacteria and Gammaproteobacteria positively correlated with TOC and \({\text{NO}}_{2}^{ - }.\) For nirK-encoding denitrifiers, the distribution of cluster A and cluster C also showed salinity heterogeneity; the former favored oligohaline environments and the latter were opposite.中文翻译:
珠江口表层沉积物中Nir S-编码和nir K-编码反硝化剂的分布规律