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Three Novel Marine Species of Paracoccus , P. aerodenitrificans sp. nov., P. sediminicola sp. nov. and P. albus sp. nov., and the Characterization of Their Capability to Perform Heterotrophic Nitrification and Aerobic Denitrification.

Kun ZhangQi ZengRouyun JiangSongbiao ShiJian YangLijuan LongXinpeng Tian
Published in: Microorganisms (2023)
Heterotrophic nitrification-aerobic denitrification (HN-AD) is an efficient nitrogen removal process and the genus Paracoccus is one important group of the HN-AD bacteria. During an investigation of the microbial diversity in marine ranching of the Pearl River Estuary (PR China), three bacterial strains, designated SCSIO 75817 T , SCSIO 76264 T and SCSIO 80058 T , were isolated from sediments. Phylogenetic analyses based on 16S rRNA gene sequences indicated that the three strains belonged to the genus Paracoccus and their closest neighbors were P. isoporae DSM 22220 T (97.6-98.0%), P . aurantiacus CGMCC 1.13898 T (97.3-97.6%) and P . xiamenensis MCCC 1A16381 T (97.1-97.4%), respectively. The analysis results of 16S rRNA gene similarity, ANI, AAI and dDDH showed that the pairwise similarities between these three strains and their closest neighbors were 97.4-98.5%, 76.9-81.0%, 75.5-79.6% and 20.3-23.3%, respectively. Polyphasic taxonomic data of the phylogenetic, phenotypic and chemotaxonomic analyses indicate that these strains represent three novel species in the genus Paracoccus , for which the names Paracoccus aerodenitrificans sp. nov., Paracoccus sediminicola sp. nov. and Paracoccus albus sp. nov. are proposed, respectively. The study also demonstrated the heterotrophic nitrification-aerobic denitrification (HN-AD) ability of the novel species P. aerodenitrificans SCSIO 75817 T . When it was aerobically cultivated at 28 °C using NH 4 + -N, NO 3 - -N and NO 2 - -N as the sole nitrogen sources, the nitrogen removal efficiencies were 73.4, 55.27 and 49.2%, respectively, and the maximum removal rates were 3.05, 1.82 and 1.63 mg/L/h, respectively. The results suggest that it has promising potential for wastewater treatment.
Keyphrases
  • wastewater treatment
  • microbial community
  • escherichia coli
  • antibiotic resistance genes
  • high intensity
  • genome wide
  • copy number
  • heavy metals
  • machine learning
  • big data
  • risk assessment
  • room temperature