Otwarty dostęp

Diversity and succession of microbial communities on typical microplastics in Xincun Bay, a long-term mariculture tropical lagoon

Yunfeng Shi
Yunfeng Shi
, 
Shuai Wang
Shuai Wang
, 
Hui Wang
Hui Wang
, 
Zhaoyang Li
Zhaoyang Li
, 
Jiali Cai
Jiali Cai
, 
Qiuying Han
Qiuying Han
 oraz 
Muqiu Zhao
Muqiu Zhao
   | 31 mar 2022
Oceanological and Hydrobiological Studies's Cover Image
O artykule
Poprzedni artykuł
Następny artykuł
Zacytuj
Article Category: Original research paper
Data publikacji: 31 mar 2022
Zakres stron: 10 - 22
Otrzymano: 22 lip 2021
Przyjęty: 03 wrz 2021
DOI: https://doi.org/10.26881/oahs.2022.1.02
Słowa kluczowe
© 2022 Yunfeng Shi et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

(A) Location of the experiment and spatial distribution of ecosystem types within the bay. (B) FTIR spectra of MPs originating from fishing nets, foams and woven bulk bags in red; reference spectra of polyethylene, polystyrene and polypropylene in blue.
(A) Location of the experiment and spatial distribution of ecosystem types within the bay. (B) FTIR spectra of MPs originating from fishing nets, foams and woven bulk bags in red; reference spectra of polyethylene, polystyrene and polypropylene in blue.

Figure 2

Scanning electron microscopy images of the surface of different MPs showing biofilm after 0, 10, 30, and 60 days (scale bar = 10 μm).
Scanning electron microscopy images of the surface of different MPs showing biofilm after 0, 10, 30, and 60 days (scale bar = 10 μm).

Figure 3

(A) Alpha diversity (Chao1, Shannoneven and Shannon indices) of bacterial communities on MPs and seawater after 10, 30 and 60 days of exposure. (B) Principal Coordinates Analysis (PCoA) based on Bray–Curtis distance, calculated from OTUs of bacterial communities.
(A) Alpha diversity (Chao1, Shannoneven and Shannon indices) of bacterial communities on MPs and seawater after 10, 30 and 60 days of exposure. (B) Principal Coordinates Analysis (PCoA) based on Bray–Curtis distance, calculated from OTUs of bacterial communities.

Figure 4

(A) Histogram of abundance distribution at the phylum level. (B) Heatmap of abundant bacterial genera (top 25) present in the microbial community of different groups. (C) Cladograms of LEfSe analysis using abundance of the full taxonomy for MPs and seawater. Bacterial groups from phylum to species level are listed from the center out. Biomarkers were selected based on the Kruskal–Wallis test (p < 0.05) and the linear discriminant analysis score greater than 4.5. (D) Abundance bubble chart of potential degradation bacteria and pathogens at the genus level.
(A) Histogram of abundance distribution at the phylum level. (B) Heatmap of abundant bacterial genera (top 25) present in the microbial community of different groups. (C) Cladograms of LEfSe analysis using abundance of the full taxonomy for MPs and seawater. Bacterial groups from phylum to species level are listed from the center out. Biomarkers were selected based on the Kruskal–Wallis test (p < 0.05) and the linear discriminant analysis score greater than 4.5. (D) Abundance bubble chart of potential degradation bacteria and pathogens at the genus level.

Figure 5

(A) Hierarchical cluster analysis of KEGG categories at level 3. (B) LEfSe analysis using abundance of the predicted metabolic pathway. Biomarkers were selected based on the Kruskal–Wallis test (p < 0.05) and the linear discriminant analysis score greater than 2.8. (C) Comparison of the abundance of predicted metabolic pathways of Drug resistance: antimicrobial, Infectious disease: bacterial and Xenobiotics biodegradation at level 3. A positive value indicates a significantly (p < 0.01) higher abundance of metabolic pathways in bacteria associated with seawater compared with this those associated with MPs.
(A) Hierarchical cluster analysis of KEGG categories at level 3. (B) LEfSe analysis using abundance of the predicted metabolic pathway. Biomarkers were selected based on the Kruskal–Wallis test (p < 0.05) and the linear discriminant analysis score greater than 2.8. (C) Comparison of the abundance of predicted metabolic pathways of Drug resistance: antimicrobial, Infectious disease: bacterial and Xenobiotics biodegradation at level 3. A positive value indicates a significantly (p < 0.01) higher abundance of metabolic pathways in bacteria associated with seawater compared with this those associated with MPs.

Figure 6

Overview of bacterial networks in seawater, PE, PS and PP. Node color represents different phylogenetic phyla. Pink lines indicate positive interactions and green lines indicate negative interactions.
Overview of bacterial networks in seawater, PE, PS and PP. Node color represents different phylogenetic phyla. Pink lines indicate positive interactions and green lines indicate negative interactions.
eISSN:
1897-3191
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Chemistry, other, Geosciences, Life Sciences
Kanał RSS czasopisma