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General Session 4: Marine environment, ecosystem & sustainability |
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Time-series phylogenetic molecular ecological networks reveal cooperation of microbial communities in response to BaP contamination
GS4-39-S
Xiaolan Lin* , Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, School of Life Sciences, Xiamen University, Xiamen 361005, China
Buce Hetharua, Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, School of Life Sciences, Xiamen University, Xiamen 361005, China
Lian Lin, Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, School of Life Sciences, Xiamen University, Xiamen 361005, China
Hong Xu, Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, School of Life Sciences, Xiamen University, Xiamen 361005, China
Tianling Zheng, 1 Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, School of Life Sciences, Xiamen University, Xiamen 361005, China
2 State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361005, China
Yun Tian, Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, School of Life Sciences, Xiamen University, Xiamen 361005, China
Presenter Email: 84839692@qq.com
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| Elevated concentrations of polycyclic aromatic hydrocarbons (PAHs) have been found in mangrove sediment, and PAH bioremediation by microbial community has been hot spot in focus recently. The interactions among different taxa in microbial community and their temporal dynamics in response to PAH contamination is critical for bioremediation strategy but still remain unclear. Here, we perform a benzo(a)pyrene (BaP) addition microcosm experiment, and applied time-series/regular phylogenetic molecular ecological networks (pMENs) approaches to predict interactions among microbial taxa and reconstruct the co-occurrence networks using massive parallel 16S rRNA gene datasets. Our results showed the microbial network interactions have been dramatically altered under BaP contamination. In comparison to the network under non-contamination, the global network organization under BaP contamination switched to a thicker structure with higher density, which facilitated the network to respond to environmental perturbation more quickly. As to the structural assembly, the positive interactions among populations have been induced, and the network has remarkably altered to a cooperative pattern under BaP contamination, with the enrichment of Proteobacteria and Bacteroidetes. Exactly, the induced cooperation mainly happened between Proteobacteria and Bacteroidetes populations. Specifically, an unclassified Sphingomonadales bacterium, displayed mutualistic relationships with Robiginitalea, Marinicella and Sulfurovum, and the mutualistic relationships was even stronger under BaP contamination, indicating their potential cooperation in response to BaP contamination. Furthermore, possible keystone taxa were identified and the results indicated the potential metabolic response of the microbial community to BaP addition: different from the predominance of the populations involved in sulfur and nitrogen cycle, such as Desulfobacteraceae and Denitromonas, under non-contamination, the ecological network under BaP contamination possessed more diverse functional keystone taxa, not only included PAH degraders such as Celeribacter and Sphingomonadales, but also covered anti-oxidizers such as Robiginitalea in response to BaP oxidative toxicity, sulfate/nitrate reducers such as Desulfarculus as electron acceptor, and utilizers of high-molecular-weight organic matter (Flammeovirgaceae). It reminds us that the PAH in-situ degradation by microbial community not only involves PAH degraders, but also these non-degrading functional species. Their ecological roles should not be neglect. In addition, majority of these keystone taxa were less abundant populations (relative abundance <1%), suggesting the species abundance had no correlation with its occupancy. It emphasizes the essential of network analysis to rectify the asymmetry between structure and function. Overall, inter-taxa interaction prediction and network reconstruction provides new insight to better understand the response of microbial community to PAH contamination, as an important supplement to biodiversity investigation, filling the gaps from strains to community, and structure to ecological function. |
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