Biological Nitrogen Removal Database

A manually curated data resource for microbial nitrogen removal


Detailed information

Microorganism

Acidovorax sp. NC3L-63c

Taxonomy

  • Phylum : Proteobacteria
  • Class : Betaproteobacteria
  • Order : Burkholderiales
  • Family : Comamonadaceae
  • Genus : Acidovorax

Isolation Source

Lake sediment

Enzyme Name

Nitrite reductase

  • Encoding Gene:nirKI
  • DNA Size:456 bp
  • Nucleotide FASTA sequence: Link

  • UniProt I.D: nan

Protein Information

  • Pro_GenBank I.D: BAO96014.1

  • Length:152 aa
  • Protein FASTA_sequence: Link

Information about Article

  • Reference:Wei et al.,2116
  • Title:Higher diversity and abundance of denitrifying microorganisms in environments than considered previously
  • Pubmed ID:25756779
  • Pubmed link: Link

  • Full research link: Link

  • Abstract:Denitrification is an important process in the global nitrogen cycle. The genes encoding NirK and NirS (nirK and nirS), which catalyze the reduction of nitrite to nitric oxide, have been used as marker genes to study the ecological behavior of denitrifiers in environments. However, conventional polymerase chain reaction (PCR) primers can only detect a limited range of the phylogenetically diverse nirK and nirS. Thus, we developed new PCR primers covering the diverse nirK and nirS. Clone library and qPCR analysis using the primers showed that nirK and nirS in terrestrial environments are more phylogenetically diverse and 2-6 times more abundant than those revealed with the conventional primers. RNA- and culture-based analyses using a cropland soil also suggested that microorganisms with previously unconsidered nirK or nirS are responsible for denitrification in the soil. PCR techniques still have a greater capacity for the deep analysis of target genes than PCR-independent methods including metagenome analysis, although efforts are needed to minimize the PCR biases. The methodology and the insights obtained here should allow us to achieve a more precise understanding of the ecological behavior of denitrifiers and facilitate more precise estimate of denitrification in environments.