The biogeography and co-occurrence network patterns of bacteria and microeukaryotes in the estuarine and coastal waters

Jinnan Wu; Zhu Zhu; Joanna J Waniek; Mingyang Niu; Yuntao Wang; Zhaoru Zhang; Meng Zhou; Ruifeng Zhang

doi:10.1016/j.marenvres.2023.105873

The biogeography and co-occurrence network patterns of bacteria and microeukaryotes in the estuarine and coastal waters

Mar Environ Res. 2023 Feb:184:105873. doi: 10.1016/j.marenvres.2023.105873. Epub 2023 Jan 6.

Authors

Jinnan Wu¹, Zhu Zhu², Joanna J Waniek³, Mingyang Niu⁴, Yuntao Wang⁵, Zhaoru Zhang¹, Meng Zhou¹, Ruifeng Zhang⁶

Affiliations

¹ School of Oceanography, Shanghai Jiao Tong University, 200030, Shanghai, China.
² School of Oceanography, Shanghai Jiao Tong University, 200030, Shanghai, China. Electronic address: zzhu@sjtu.edu.cn.
³ Leibniz Institute for Baltic Sea Research Warnemünde, Seestrasse 15, 18119, Rostock, Germany.
⁴ State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 200030, Shanghai, China.
⁵ State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, 310000, Hangzhou, Zhejiang, China.
⁶ School of Oceanography, Shanghai Jiao Tong University, 200030, Shanghai, China. Electronic address: ruifengzhang@sjtu.edu.cn.

PMID: 36628821
DOI: 10.1016/j.marenvres.2023.105873

Abstract

Community and diversity shifts of bacteria and microeukaryotes with strong environmental and spatial variations have been unveiled in the Pearl River Estuary (PRE) and northern coastal part of South China Sea (SCS). However, it is not clear what the determining factors shape the microbial community and how the biotic interactions respond to the estuarine and oceanic environment. Here, we established the multiple regression models (MRM) and co-occurrence networks on microbial communities in PRE and SCS habitats. The results showed that there were significant differences of the abiotic factors affecting the bacterial and microeukaryotic communities between PRE and SCS habitats. Salinity explained the largest variations to the microbial community dissimilarities in PRE. Whereas spatial and environmental factors determined the microbial community dissimilarities in SCS. Positive relations between parasitic lineages (e.g. Perkinsea and Cercozoa) and algal taxa (Dinophyceae, Cryptophyta, Chlorophyta and Ochrophyta) dominated in the PRE network. While parasites Syndiniales positively correlated with other Syndiniales and protists in SCS. Strong positive associations among autotrophic and heterotrophic groups were revealed in both niches. Therefore, the biotic interactions are also important and may be responsible for the unexplained variations of the abiotic factors from MRM models. Microbial network in the PRE estuarine water had weakened resistance to environmental disturbances, while the SCS network had greater capacity to maintain network stability. This study shed light on the different mechanisms of abiotic and biotic factors in shaping the compositions of bacteria and microeukaryotes between PRE and SCS niches, and highlights the weakening effect of environmental disturbances on the microbial network stability.

Keywords: Bacterial and microeukaryotic community; Biogeography; Cooccurrence network; Environmental and spatial factors; Pearl river estuary; South China Sea.

MeSH terms

Bacteria
China
Dinoflagellida*
Microbiota*
Oceans and Seas