title: [Analysis on Diversity of Denitrifying Microorganisms in Sequential Batch Bioreactor Landfill].
abstract: A denitrification functional microorganism gene clone library (amoA, nosZ) and the PCR-RFLP technology was constructed to investigate the microbial diversity of denitrifying microorganisms in the late period of stabilization of sequential batch bioreactor landfill. The results indicated that: the bacterial diversity of ammonia oxidizing bacteria in the aged refuse reactor was very high, and most of them were unknown groups, also, all bacteria were unculturable or had not been isolated. The phylogenetic analysis suggested that the dominant ammonia oxidizing bacteria were presumably Nitrosomonas of 6-Proteobacteria. The diversity of denitrifying bacteria in fresh refuse reactor was abundant, which mainly included Thauera and Thiobacillus of 6-Proteobacteria. As Thauera sp. has the denitrification characteristics under the condition of aerobic while Thiobacillus denitrificans has the autotrophic denitrification characteristics, it was speculated that aerobic denitrification and autotrophic denitrification might be the main pathways for nitrogen removal in the fresh refuse reactor at the late period of stabilization. Additionally, another group in the gene clone library of denitrifying bacteria may be classified as Bradyrhizobiaceae of alpha-Proteobacteria.
authors.forename: Wei-Hua
authors.initials: WH
authors.lastname: Li
authors.forename: Ying-Jie
authors.initials: YJ
authors.lastname: Sun
authors.forename: Zi-Liang
authors.initials: ZL
authors.lastname: Liu
authors.forename: Qiang
authors.initials: Q
authors.lastname: Ma
authors.forename: Qiang
authors.initials: Q
authors.lastname: Yang
mesh_terms: D000641:Ammonia / Q000032:analysis; D052818:Autotrophic Processes; D001419:Bacteria / Q000145:classification*; D019149:Bioreactors; D058440:Denitrification; D005735:Garbage; D009584:Nitrogen / Q000032:analysis; D010802:Phylogeny; D064091:Waste Disposal Facilities
chemical_list: D000641:Ammonia; D009584:Nitrogen