Abstract:In order to learn the bacterial community composition and water purification mechanism in biofilter for recirculating aquaculture system of Oplegnathus punctatus, the high-throughput sequencing method was used to study the evolution of bacterial community structure in the biofilters at different stages, and the water quality parameters and water treatment effects of these biofilters were also analyzed. The results showed that bacterial 37 phyla and 513 genera were screened out by the experiment. The overall microbial community richness and diversity of the third-stage biofilter were higher than those of the first- stage and second-stage biofilters. The microbial communities in the second-stage and third-stage biofilters had the highest similarity. At the phylum level, the dominant bacteria were Proteobacteria, Chloroflexi, Bacteroidetes. At the genus level, Nitrosomonas and Nitrospira were found to perform nitrifying. Morover, some functional waste phenonmena occurred in the biofilter of the system. The analysis indicated that a stable succession pattern existed in the bacterial community structure of this system, and a certain degree of dynamic response of the change of biofilm microbial community to water quality also happened. Denitrifying bacteria such as Muricauda and Maribacter had no obvious effect on the change of nitrate nitrogen concentration. Key words:high-throughput sequencing/ biofilters/ bacterial community/ dynamic response/ recirculating aquaculture system (RAS).
图1养殖系统示意图 Figure1.Diagram of recirculating aquaculture system
图13${\bf{NO}}_3^ - $-N浓度与鼠尾菌属和海杆菌属丰度变化的关系图 Figure13.Relationship between ${\rm{NO}}_3^ - $-N concentration and the abundance of Muricauda and Maribacter
SUGITA H, NAKAMURA H, SHIMADA T. Microbial communities associated with filter materials in recirculating aquaculture systems of freshwater fish[J]. Aquaculture, 2005, 243(1/2/3/4): 403-409.
EDGAR R C. Search and clustering orders of magnitude faster than BLAST[J]. Bioinformatics, 2010, 26(19): 2460-2461. doi: 10.1093/bioinformatics/btq461
[6]
EDGAR R C. UPARSE: Highly accurate OTU sequences from microbial amplicon reads[J]. Nature Methods, 2013, 10(10): 996. doi: 10.1038/nmeth.2604
[7]
WANG Q, GARRITY G M, TIEDJE J M, et al. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy[J]. Applied Environmental Microbiology, 2007, 73(16): 5261-5267. doi: 10.1128/AEM.00062-07
[8]
AMATO K R, YEOMAN C J, KENT A, et al. Habitat degradation impacts black howler monkey (Alouatta pigra) gastrointestinal microbiomes[J]. ISME Journal, 2013, 7(7): 1344-1353. doi: 10.1038/ismej.2013.16
[9]
MAUGHAN H, WANG P W, DIAZ C J, et al. Analysis of the cystic fibrosis fung microbiota via serial illumina sequencing of bacterial 16S rRNA hypervariable regions[J]. Plos One, 2012, 7(10): e45791. doi: 10.1371/journal.pone.0045791
[10]
FOUTS D E, SZPAKOWSKI S, PURUSHE J, et al. Next generation sequencing to define prokaryotic and fungaldiversity in the bovine rumen[J]. Plos One, 2012, 7(11): e48289. doi: 10.1371/journal.pone.0048289
ZHAN P, LIU W. Use of fluidized bed biofilter and immobilized Rhodopseudomonas palustris for ammonia removal and fish health maintenance in a recirculation aquaculture system[J]. Aquaculture Research, 2013, 44: 327-334. doi: 10.1111/j.1365-2109.2011.03038.x
[24]
RIJN J V, TAL Y, SCHREIER H J. Denitrification in recirculating systems: Theory and applications[J]. Aquacultural Engineering, 2006, 34(3): 364-376. doi: 10.1016/j.aquaeng.2005.04.004
1.Fisheries College, Ocean University of China, Qingdao 266003, China 2.Shandong Laizhou Mingbo Aquatic Products Co. Ltd., Yantai 264000, China Received Date: 2019-10-16 Accepted Date: 2020-01-13 Available Online: 2020-08-12 Keywords:high-throughput sequencing/ biofilters/ bacterial community/ dynamic response/ recirculating aquaculture system (RAS) Abstract:In order to learn the bacterial community composition and water purification mechanism in biofilter for recirculating aquaculture system of Oplegnathus punctatus, the high-throughput sequencing method was used to study the evolution of bacterial community structure in the biofilters at different stages, and the water quality parameters and water treatment effects of these biofilters were also analyzed. The results showed that bacterial 37 phyla and 513 genera were screened out by the experiment. The overall microbial community richness and diversity of the third-stage biofilter were higher than those of the first- stage and second-stage biofilters. The microbial communities in the second-stage and third-stage biofilters had the highest similarity. At the phylum level, the dominant bacteria were Proteobacteria, Chloroflexi, Bacteroidetes. At the genus level, Nitrosomonas and Nitrospira were found to perform nitrifying. Morover, some functional waste phenonmena occurred in the biofilter of the system. The analysis indicated that a stable succession pattern existed in the bacterial community structure of this system, and a certain degree of dynamic response of the change of biofilm microbial community to water quality also happened. Denitrifying bacteria such as Muricauda and Maribacter had no obvious effect on the change of nitrate nitrogen concentration.