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High-throughput sequencing reveals the spatial distribution variability of microbial community in coastal waters in Shenzhen

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Abstract

Seashore habitats are located between terrestrial and marine ecosystems, which are a hotspot for anthropogenic impacts. Shenzhen is one of the most developed cities in south China, but the microbial functions of its coastal ecosystems remain poorly understood. The study applied 16S rRNA gene sequencing methods to identify the bacterial community from twenty sites of Shenzhen inshore waters. The microbial structure of the samples between eastern Shenzhen and western Shenzhen seashores is notably different, suggesting the spatial variability. Proteobacteria, Cyanobacteria, Actinobacteria, and Bacteroidetes were dominant phyla in the community, and the relative abundance of Bacteroidetes was significantly higher in eastern seashores. Specifically, samples from western Shenzhen contained much more Prochlorococcus, while Synechococcus was more abundant in eastern samples. Moreover, the metabolism of terpenoids and polyketides, and transport and catabolism were significantly more abundant in eastern samples, while antibiotic-resistant pathways were enriched in western samples. The results have important significance to understand bacterial ecosystem of coastal water and promote water quality management and protection activity in Shenzhen. This study can also help developing an optimal strategy for the green economy development and the policy planning of Guangdong-Hong Kong-Macao Greater Bay Area.

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Data availability

The original 16S rRNA sequencing reads were analyzed in Table S6. The total of 2,948,256 sequences were got from 20 sampling sites. They are belonged to 962 OTUs, corresponding to different bacteria species.

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Acknowledgements

This research was supported by the Future Industrial Development Fund of Shenzhen (JCYJ20170413111950426), Innovative Strong School Engineering Key Platform Projects by Department of Education in Guangdong Province (2018302), Shenzhen Scientific Project Fund (Fund No. JCYJ20140722112616608).

Author contributions

RZ initiated and supervised the study and wrote the manuscript. YL designed the experiments, analyzed the data, and prepared the figures. XFZ collected and treated the samples. ZHZ, HLZ and XPH did the molecular biology experiments, 16S rRNA sequencing, and collected the data. WQX and YCS executed the experiments, reviewed the manuscript. WSL supervised the study and reviewed the manuscript. All authors have read and approved the final manuscript.

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Author notes

  1. These authors contributed equally: Rui Zhang, Yu Liu

Authors and Affiliations

  1. Shenzhen Institute of Guangdong Ocean University, Shenzhen, 518108, Guangdong, PR China

    Rui Zhang, Yu Liu, Honglian Zhang, Xiaoping Huang, Weiqing Xu & Yuchun Shen

  2. College of Food Science and Technology, Modern Biochemistry Experimental Center, Guangdong Ocean University, Zhanjiang, 518088, Guangdong, PR China

    Rui Zhang, Yu Liu, Honglian Zhang, Xiaoping Huang & Weiqing Xu

  3. Shenzhen R&D Key Laboratory of Alien Pest Detection Technology, The Shenzhen Academy of Science and Technology for Inspection and Quarantine, Technology Center for Animal and Plant Inspection and Quarantine, Shenzhen Customs, Shenzhen, 518045, Guangdong, PR China

    Xianfeng Zhao & Wensheng Lan

  4. College of Agriculture, Guangdong Ocean University, Zhanjiang, 524088, Guangdong, PR China

    Zhihui Zhao

  5. College of Fisheries, Guangdong Ocean University, Zhanjiang, 524088, Guangdong, PR China

    Yuchun Shen

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  1. Rui Zhang
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Correspondence to Wensheng Lan.

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Zhang, R., Liu, Y., Zhao, X. et al. High-throughput sequencing reveals the spatial distribution variability of microbial community in coastal waters in Shenzhen. Ecotoxicology 30, 1429–1436 (2021). https://doi.org/10.1007/s10646-021-02391-9

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