Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Effect of rainfall on metagenomics in a sewage environment in Hongta District, Yuxi city, Yunnan Province

View through CrossRef
Background Hongta District of Yuxi city is located in the central region of Yunnan Province, Southwest China. Previous studies have shown a high prevalence of enteric infectious diseases in the area, which may be related to sewage discharge. However, there has been no systematic analysis of the microbiome in sewage in this area. In this study, we investigated environmental sewage in Hongta District, Yuxi city, Yunnan Province. Methods Surveillance was conducted in Hongta District, Yuxi city, for a period of one year. At both its urban and rural sites, sewage samples were collected for metagenomic sequencing. Results The results revealed that in the sewage samples, bacteria accounted for 98.31% of the total microbiome, followed by Archaea (1.05%), Viruses (0.30%) and Eukaryota (0.34%). At the phylum level, Proteobacteria was the taxon with the highest relative abundance, accounting for 57.57% of all samples, followed by Firmicutes (17.17%), Bacteroidetes (12.23%), Actinobacteria (7.10%), and Synergistetes (1.45%). At the genus level, the taxa with the highest relative abundances of all the microbiomes were Acidovorax (6.63%), Pseudomonas (4.98%), Acinetobacter (4.23%), Comamonas (3.85%), and Aliarcobacter (2.78%). The diversity of the samples grouped by site and rainfall formed their own clusters, but only the compositions of different taxa grouped by rainfall significantly differed ( P  = 0.038 at the family, P  = 0.019 at the genus and P  = 0.005 at the species level). In general, the abundance of several taxa at the family, genus and species levels in the dry season group was higher ( P  < 0.05) than that in the rainy season group according to the Kruskal–Wallis test. The relative abundance s of most virulence genes were higher at urban sites than at rural sites, while those in the rainy season was higher than those in the dry season. The distribution of antibiotic resistance genes (ARGs) in urban and rural sewage was significantly different ( P  = 0.018). The relative abundance of multidrug resistance genes in urban sewage was higher than that in rural sewage, and the relative abundance of most resistance genes in the dry season group was higher than that in the rainy season group. Conclusions In general, the abundance and distribution features of the sewage microbial communities in the Hongta District of Yuxi city were affected by site and rainfall factors, with significant regional and temporal specificity. Strengthening the surveillance of environmental sewage and improving discharge methods are highly important for ensuring public health security.
Title: Effect of rainfall on metagenomics in a sewage environment in Hongta District, Yuxi city, Yunnan Province
Description:
Background Hongta District of Yuxi city is located in the central region of Yunnan Province, Southwest China.
Previous studies have shown a high prevalence of enteric infectious diseases in the area, which may be related to sewage discharge.
However, there has been no systematic analysis of the microbiome in sewage in this area.
In this study, we investigated environmental sewage in Hongta District, Yuxi city, Yunnan Province.
Methods Surveillance was conducted in Hongta District, Yuxi city, for a period of one year.
At both its urban and rural sites, sewage samples were collected for metagenomic sequencing.
Results The results revealed that in the sewage samples, bacteria accounted for 98.
31% of the total microbiome, followed by Archaea (1.
05%), Viruses (0.
30%) and Eukaryota (0.
34%).
At the phylum level, Proteobacteria was the taxon with the highest relative abundance, accounting for 57.
57% of all samples, followed by Firmicutes (17.
17%), Bacteroidetes (12.
23%), Actinobacteria (7.
10%), and Synergistetes (1.
45%).
At the genus level, the taxa with the highest relative abundances of all the microbiomes were Acidovorax (6.
63%), Pseudomonas (4.
98%), Acinetobacter (4.
23%), Comamonas (3.
85%), and Aliarcobacter (2.
78%).
The diversity of the samples grouped by site and rainfall formed their own clusters, but only the compositions of different taxa grouped by rainfall significantly differed ( P  = 0.
038 at the family, P  = 0.
019 at the genus and P  = 0.
005 at the species level).
In general, the abundance of several taxa at the family, genus and species levels in the dry season group was higher ( P  < 0.
05) than that in the rainy season group according to the Kruskal–Wallis test.
The relative abundance s of most virulence genes were higher at urban sites than at rural sites, while those in the rainy season was higher than those in the dry season.
The distribution of antibiotic resistance genes (ARGs) in urban and rural sewage was significantly different ( P  = 0.
018).
The relative abundance of multidrug resistance genes in urban sewage was higher than that in rural sewage, and the relative abundance of most resistance genes in the dry season group was higher than that in the rainy season group.
Conclusions In general, the abundance and distribution features of the sewage microbial communities in the Hongta District of Yuxi city were affected by site and rainfall factors, with significant regional and temporal specificity.
Strengthening the surveillance of environmental sewage and improving discharge methods are highly important for ensuring public health security.

Related Results

Influence of Cumulative Rainfall on the Occurrence of Landslides in Korea
Influence of Cumulative Rainfall on the Occurrence of Landslides in Korea
This study presents the impact of cumulative rainfall on landslides, following the analysis of cumulative rainfall for 20 days before the landslide. For the 1520 landslides analyze...
Developing a Phylogeny Based Machine Learning Algorithm for Metagenomics
Developing a Phylogeny Based Machine Learning Algorithm for Metagenomics
Metagenomics is the study of the totality of the complete genetic elements discovered from a defined environment. Different from traditional microbiology study, which only analyzes...
DAMPAK TEKNOLOGI TERHADAP PROSES BELAJAR MENGAJAR
DAMPAK TEKNOLOGI TERHADAP PROSES BELAJAR MENGAJAR
DAFTAR PUSTAKAAditama, M. H. R., &amp; Selfiardy, S. (2022). Kehidupan Mahasiswa Kuliah Sambil Bekerja di Masa Pandemi Covid-19. Kidspedia: Jurnal Pendidikan Anak Usia Dini, 3(...
A (small) step towards standardisation in rainfall simulation experiments
A (small) step towards standardisation in rainfall simulation experiments
&lt;p&gt;Rainfall simulation is widely used within hydrological and geomorphological sciences and is particularly important in the study of rainfall-runoff, erosion and pol...
Surveillance audio-based rainfall observation: a crowdsourcing approach
Surveillance audio-based rainfall observation: a crowdsourcing approach
&lt;p&gt;Rainfall data with high spatiotemporal resolutions are of great value in many research fields, such as meteorology, hydrology, global warming, and urban disaster m...
METAGENOMICS CURRENT RESEARCH, APPLICATION AND COMPUTATIONAL ANALYSIS
METAGENOMICS CURRENT RESEARCH, APPLICATION AND COMPUTATIONAL ANALYSIS
Metagenomics is the combination of genomics branch and meta that means huge set of genomes from different organisms. Metagenomics is also called as environmental genomics or commun...

Back to Top