Israeli Journal of Aquaculture - BamidgehSystems BiologyPeer-reviewed journal article
Bacterial composition and inferring function profiles in the biofloc system rearing Litopenaeus vannamei postlarvae at a low salinity
Hai‐Hong HuangiD, Chao-Yun Li, Yanju Lei, Weiqi KuangiD, Wansheng Zou, Pinhong YangiD
Abstract
This study aimed to investigate the bacterial composition and inferring function profiles in the biofloc system rearing Litopenaeus vannamei postlarvae (PL) at a low salinity condition. PL (~ stage 15) were stocked in four parallel tanks filled in water with a salinity of 5.0{per thousand} at a density of 4000 individuals per m3 for a 28-days culture experiment, during which glucose was added as carbon source with a C:N of 20:1. At the end of experiment, water was sampled from each tank and pooled to extract microbial DNA for high-throughput sequencing of V3-V4 region of 16S rRNA gene. Results showed that the bacterial community at 28 d was dominated by phyla of Proteobacteria (45.8%), Bacteroidetes (21.1%), Planctomycetes (13.5%), Chlamydiae (10.3%) and Firmicutes (6.8%). A proportion of 81% inferring KEGG functions of this bacterial community associated with metabolism. Among functions relating to nitrogen metabolism, 48.5% were involved in the conversion of ammonia to glutamate, but the proportion of those involved in transformation among ammonia, nitrite and nitrate was 18.0% in total, inferring higher protein-synthesis but lower inorganic nitrogen-transformation capacities of the bacterial community. At the same time (28 d), high levels of total nitrogen (231.3{+/-}6.0 mg L-1) and biofloc (127.0{+/-}63.0 mL L-1), but low concentrations of ammonia (0.04{+/-}0.01 mg L-1), nitrite (0.2{+/-}0.1 mg L-1) and nitrate (12.9{+/-}2.5 mg L-1) were observed. The results supply a novel insight for understanding the function of bacterial community in the biofloc system nursing L. vannamei PL at a low salinity.
- organism: non-human primate
- assay: DNA methylation
- research focus: differential expression
- approach: statistical model
- Citations
- 7
- FWCI
- 0.67
- Field percentile
- top 39%
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