An Analysis of the Colony Structure of Prokaryotes in the Jialing River Waters in Chongqing

Int J Environ Res Public Health. 2022 May 2;19(9):5525. doi: 10.3390/ijerph19095525.

Abstract

At present, research on the influence of human activities (especially urbanization) on the microbial diversity, structural composition, and spatial distribution of rivers is limited. In this paper, to explore the prokaryotic community structure and the relationship between the community and environmental factors in the Jialing River Basin of Chongqing, so as to provide a basis for monitoring microorganisms in the watershed. The V3-V4 region of the 16 S rRNA gene was analyzed by high-throughput sequencing and the microbial community of the waters of the Jialing River was analyzed for the diversity and composition of the prokaryotic community as well as the species difference of four samples and correlations with environmental factors. The main results of this study were as follows: (1) The diversity index showed that there were significant differences in the biodiversity among the four regions. At the genus level, Limnohabitans, unclassified_f_Comamonadaceae, and Hgcl_clade were the main dominant flora with a high abundance and evenness. (2) A Kruskal-Wallis H test was used to analyze the differences of species composition among the communities and the following conclusions were drawn: each group contained a relatively high abundance of Limnohabitans; the Shapingba District had a higher abundance of Limnohabitans, the Hechuan District had a wide range of unclassified_f_Comamonadaceae, and the Beibei District had a higher Hgcl_clade. (3) Through the determination of the physical and chemical indicators of the water-namely, total nitrogen, total phosphorus, chemical oxygen demand, chlorophyll A, and an analysis by an RDA diagram, the results demonstrated that the distribution of microbial colonies was significantly affected by the environmental factors of the water. Chemical oxygen demand and ammonia nitrogen had a significant influence on the distribution of the colonies. Different biological colonies were also affected by different environmental factors.

Keywords: biological information analysis; community structure; high throughput sequencing; prokaryotes.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biodiversity*
  • China
  • Chlorophyll A / analysis
  • Environmental Monitoring / methods
  • Humans
  • Nitrogen / analysis
  • Rivers*
  • Water / analysis

Substances

  • Water
  • Nitrogen
  • Chlorophyll A

Grants and funding

This research was funded by the National Natural Science Foundation of China: 52103156, 51901160; Chongqing Science and Technology Commission Project grant number: cstc2021jcyj-msxmX0663, cstc 2020jcyj-msxm X0928, cstc2021jcyj-msxmX0901, cstc2019jcyj-msxmX0562; Taizhou Science and Technology Support (Agriculture) Project: TN202012, SNY20210008; Basic scientific research project of Wenzhou: S2020005; Provincial and Ministerial Co-constructive of Collaborative Innovation Center for MSW Comprehensive Utilization: shljzyh2021-23; Chongqing Bayu Scholars Young Scholars Project: YS2021089; Chongqing University of Science and Technology Graduate Innovation Program Project. 2022 College Student Innovation and Entrepreneur-ship Training Program Cultivation Project [grant numbers 2021198, 202211551007].