Article3 Biotech2020
Computational analysis of successional changes in the microbial population and community diversity of the immobilized marine nitrifying bacterial consortium in a nitrifying packed bed bioreactor.
Article in 3 Biotech, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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0 citing papers in PubMed, 5 citations in OpenAlex.
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nitrifying bioreactor (NBR) connected to the recirculating aquaculture system (RAS), has a greater emphasis on the biological treatment of wastewater. Nitrifying bacterial consortium (NBC) formed bio-film on the substratum activating the NBR, and it was observed with high nitrification potential in shrimp maturation systems. Scanning Electron Microscopy (SEM) revealed the integrity of the biofilm substantiated with biomineralization. The fate of the matured bio-film population on subsequent operation under RAS, and the aggregated population at different points of RAS, including the rearing water were determined using fingerprints of Denaturing Gradient Gel Electrophoresis (DGGE). Altogether, 38 OTUs of biofilm sample and 35 OTUs of water samples represented the bacterial communities; the shared and unique OTUs indicated the diversity of the population at different time intervals in the operation of the NBR. The mathematical (range-weighted richness) and statistical (diversity indices) interpretation unveiled the OTUs based high bacterial diversity in the biofilm supporting the compositional changes and determined the distance between the community cluster. Ordination analyses indicated the population shift and stability of the activated bio-film till the matured biofilm community got established in the RAS. The DGGE with mathematical and statistical analysis revealed microbial diversity (high Shannon index, species richness and evenness), abundance (relative intensity), consecutive change in the population composition (OTUs,
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