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Illumina MiSeq sequencing and network analysis the distribution and co-occurrence of bacterioplankton in Danjiangkou Reservoir, China

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Abstract

Network analysis has contributed to studies of the interactions of microorganisms and the identification of key populations. However, such analysis has rarely been conducted in the study of reservoir bacterioplankton communities. This study investigated the bacterioplankton community composition in the surface water of the Danjiangkou Reservoir using the Illumina MiSeq sequencing platform. We observed that the bacterioplankton community primarily consisted of 27 phyla and 336 genera, including Actinobacteria, Proteobacteria, and Bacteroidetes, demonstrating the richness of the community composition. Redundancy analysis of the bacterioplankton communities and environmental variables showed that the total nitrogen (TN), pH, chemical oxygen demand (COD), and permanganate index (CODMn) were important factors affecting the bacterioplankton distribution. Network analysis was performed using the relative abundances of bacterioplankton based on the phylogenetic molecular ecological network (pMEN) method. The connectivity of node i within modules (Zi), the connectivity of node i among modules (Pi), and the number of key bacteria were high at the Taizishan and Heijizui sites, which were associated with higher TN contents than at the other sites. Among the physicochemical properties of water, TN, ammonia nitrogen (NH4–N), pH, COD, and dissolved oxygen (DO) might have great influences on the functional units of the bacterial communities in bacterioplankton molecular networks. This study improves the understanding of the structure and function of bacterioplankton communities in the Danjiangkou Reservoir.

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Acknowledgments

This research was supported by the National Natural Science Foundation of China (Grant Nos. 51879130, 41601332, and U1704124), the Key Scientific and Technological Project of Henan Province (Grant No. 172102110108), and the Key Research Project of Colleges and Universities of Henan Province Education Department (Grant Nos. 16A210012, 17A180032, 14B210015).

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Authors and Affiliations

  1. Innovation Center of Water Security for Water Source Region of Mid-route Project of South-North Water Diversion of Henan Province, Henan Engineering Technology Research Center for Mushroom-based Foods, School of Agricultural Engineering, Nanyang Normal University, Nanyang, 473061, China

    Zhao-Jin Chen, Chuan-Yu Ding, Hui Han & Yu-Ying Li

  2. School of Life Science and Technology, Nanyang Normal University, Nanyang, 473061, China

    Ge Xu, Bao-Hai Zheng & Yan Chen

  3. Emergency Centre for Environmental Monitoring of Mid-line Project of South to North Water Division, Xichuan, 474475, China

    Jian-Wei Shi & Lan-Qun Hu

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  1. Zhao-Jin Chen
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Contributions

Z-J C and Y-Y L designed the experiments and participated in writing the paper. Z-J C, GX, C-Y D and B-H Z performed the experiments and analyzed the data. Y C and H H conducted the field sampling. J-W S and L-Q H measured the water quality. All authors reviewed the manuscript.

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Correspondence to Yu-Ying Li.

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The authors declare that they have no competing interests.

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Communicated by Erko Stackebrandt.

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Zhao-Jin Chen and Ge Xu contributed equally to this work

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Chen, ZJ., Xu, G., Ding, CY. et al. Illumina MiSeq sequencing and network analysis the distribution and co-occurrence of bacterioplankton in Danjiangkou Reservoir, China. Arch Microbiol 202, 859–873 (2020). https://doi.org/10.1007/s00203-019-01798-7

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