Abstract
In order to study the bacterial community structure of Donglanpohao Lake Wetland, the NGS method was used to analyze the 16S rRNA gene of bacteria in the soil samples around the lake using the Illumina high-throughput sequencing platform. The results show that: 26 bacteria groups, 64 classes, 124 orders, 221 families, and 332 genera were detected in all plots during the water storage period. The main dominant phylum is Proteobacteria, Chloroflexi, Acidobacteria and Actinobacteria. The abundances of different groups change with the soil conditions, and the bacterial communities in the occasionally flooded areas change obviously. Redundant analysis of soil physical and chemical indicators and bacterial community structure found that the distribution of soil bacterial community was most affected by soil moisture and organic carbon. The results of this study indicate that the hydrological rhythm has an important impact on the structure of the wetland soil bacterial community. It is appropriate to enhance vegetation or maintain the ecological function of the wetland soil.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yin, R., Deng, H., Wang, H.L., et al.: Vegetation type affects soil enzyme activities and microbial functional diversity following re-vegetation of a severely eroded red soil in sub-tropical China. CATENA 115, 96–103 (2014)
Liu, C., Li, J., Rui, J., et al.: Application of 16S rRNA gene in microbial ecology. J. Ecol. (09), 6–25 (2015)
Sims, A., Zhang, Y., Gajaraj, S., et al.: Toward the development of microbial indicators for wetland assessment. Water Res. 47(5), 1711–1725 (2013)
Yang, X., Gao, F.: Determination of available nitrogen and total nitrogen in soil by Nessler colorimetry. Anal. Instrum. 4, 29–32 (2014)
Zhao, X., Ding, J., Dou, Y., et al.: Analysis of bacterial diversity in pure culture environment of Hongfeng Oriental based on miseq sequencing technology. J. Ecol. 34(10), 2965–2970 (2015)
Yu, Y., Wang, H., Liu, J., et al.: Shifts in microbial community function and structure along the successional gradient of coastal wetlands in Yellow River Estuary. Eur. J. Soil Biol. 49, 0–21 (2012)
Acknowledgement
The work is supported by NSFC regional fund project (31660017), Guangxi University Young and middle-aged teachers’ basic scientific research ability improvement project (2020KY15018), Hechi University School level scientific research project (2019XJQN014).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Luo, F., Fu, Y., Qin, Y. (2021). Diversity Analysis Based on BP Neural Network and NGS Algorithm. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_58
Download citation
DOI: https://doi.org/10.1007/978-3-030-53980-1_58
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-53979-5
Online ISBN: 978-3-030-53980-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)