Cite this paper:
Shizhan ZHENG, Shouheng ZHOU, Wen YANG, Betina LUKWAMBE, Regan NICHOLAUS, Jinyong ZHU, Zhongming ZHENG. Spatial-temporal dynamics of bacterioplankton communities in the breeding area of large yellow croaker Larimichthys crocea in Sansha Bay, China[J]. Journal of Oceanology and Limnology, 2023, 41(4): 1481-1492

Spatial-temporal dynamics of bacterioplankton communities in the breeding area of large yellow croaker Larimichthys crocea in Sansha Bay, China

Shizhan ZHENG1,2, Shouheng ZHOU1,2, Wen YANG1,2, Betina LUKWAMBE3, Regan NICHOLAUS4, Jinyong ZHU1,2, Zhongming ZHENG1,2
1 School of Marine Sciences, Ningbo University, Ningbo 315211, China;
2 Key Laboratory of Marine Bioengineering of Zhejiang Province, Ningbo University, Ningbo 315211, China;
3 School of Aquatic Sciences and Fisheries Technology, University of Dares Salaam, Dares Salaam 999132, Tanzania;
4 Department of Natural Sciences, Mbeya University of Science and Technology, Mbeya 53119, Tanzania
As an important spawning ground for large yellow croaker Larimichthys crocea, Sansha Bay, South China Sea has been a research hotspot. However, studies on the influence of the bacterioplankton community and assessments of its seasonal succession of bacterioplankton in different sea areas in Sansha Bay are still limited. To address the issue, we use 16S rRNA gene amplicon sequencing and functional prediction to investigate the spatial-temporal dynamics of the bacterioplankton community in three distinct areas, i.e., Breeding Area (BA), Yantian Harbor (YH), and Bay Margin (BM) of Sansha Bay. Results show that the structure of the bacterioplankton community in Sansha Bay had a significant seasonal succession. Moreover, the representative zero-radius Operation Taxon Units in different seasons were significantly different among the three selected sea areas. Specifically, during the breeding season, bacterioplankton communities in BA were characterized by compound-degrading bacteria, such as Rhodococcus and Owenweeksia, while in YH and BM, animal parasites or symbionts such as Vibrio and Arcobacter were dominant. Furthermore, the redundancy analysis and Spearman correlation analysis further explained that water temperature, dissolved oxygen, and ammonia nitrogen were the main environmental factors responsible for the difference. In addition, the bioindicator functions screened by Functional Annotation of Prokaryotic Taxa and random forest machine learning mainly relied on compound degradation, nitrite oxidation, and photoheterotrophy. The compound-degradation-corresponded bacterioplankton genera such as Rhodococcus had relatively higher abundance in BM, while Nitrospina corresponding to nitrite oxidation tended to be abundant in YH and BA. Based on the spatial and temporal variation in the composition and function of bacterioplankton, our findings provide a basis for understanding the theory of bacterioplankton community structure in the inner-bay habitat of the large yellow croaker in Sansha Bay.
Key words:    microbial ecology|bacterioplankton|large yellow croaker|breeding area|functional prediction   
Received: 2021-12-18   Revised:
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Articles by Shizhan ZHENG
Articles by Shouheng ZHOU
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Articles by Betina LUKWAMBE
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Articles by Zhongming ZHENG
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