Biological Nitrogen Removal Database

A manually curated data resource for microbial nitrogen removal


Detailed information

Microorganism

Uncultured microorganism

Taxonomy

  • Phylum : nan
  • Class : nan
  • Order : nan
  • Family : nan
  • Genus : nan

Isolation Source

Huanghai Sea and Donghai Sea

Enzyme Name

nitrite reductase

  • Encoding Gene:NirK
  • DNA Size:474 bp
  • Nucleotide FASTA sequence: Link

  • UniProt I.D: nan

Protein Information

  • Pro_GenBank I.D: AKS11590.1

  • Length:158 aa
  • Protein FASTA_sequence: Link

Information about Article

  • Reference:Gao et al., 2017
  • Title:Diversity and Abundance of the Denitrifying Microbiota in the Sediment of Eastern China Marginal Seas and the Impact of Environmental Factors
  • Pubmed ID:27924403.0
  • Pubmed link: Link

  • Full research link: Link

  • Abstract:Investigating the environmental influence on the community composition and abundance of denitrifiers in marine sediment ecosystem is essential for understanding of the ecosystem-level controls on the biogeochemical process of denitrification. In the present study, nirK-harboring denitrifying communities in different mud deposit zones of eastern China marginal seas (ECMS) were investigated via clone library analysis. The abundance of three functional genes affiliated with denitrification (narG, nirK, nosZ) was assessed by fluorescent quantitative PCR. The nirK-harboring microbiota were dominated by a few operational taxonomic units (OTUs), which were widely distributed in different sites with each site harboring their unique phylotypes. The mean abundance of nirK was significantly higher than that of narG and nosZ genes, and the abundance of narG was higher than that of nosZ. The inconsistent abundance profile of different functional genes along the process of denitrification might indicate that nitrite reduction occurred independently of denitrification in the mud deposit zones of ECMS, and sedimentary denitrification was accomplished by cooperation of different denitrifying species rather than a single species. Such important information would be missed when targeting only a single denitrifying functional gene. Analysis of correlation between abundance ratios and environmental factors revealed that the response of denitrifiers to environmental factors was not invariable in different mud deposit zones. Our results suggested that a comprehensive analysis of different denitrifying functional genes may gain more information about the dynamics of denitrifying microbiota in marine sediments.