

FOLLOWUS
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
zhengzhongming@nbu.edu.cn
Received:18 December 2021,
Accepted:17 February 2022,
Published:01 July 2023
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ZHENG Shizhan,ZHOU Shouheng,YANG Wen,et al.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(04):1481-1492.
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 seaso
n
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.
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