Freshwater trophic status mediates microbial community assembly and interdomain network complexity

被引:11
|
作者
Wang, Binhao [1 ,2 ,3 ]
Ma, Bin [1 ,3 ,4 ]
Stirling, Erinne [1 ,3 ,4 ,5 ]
He, Zhili [2 ,6 ]
Zhang, Hangjun [7 ]
Yan, Qingyun [2 ]
机构
[1] Zhejiang Univ, Inst Soil & Water Resources & Environm Sci, Coll Environm & Resource Sci, Hangzhou 310058, Peoples R China
[2] Sun Yat sen Univ, Environm Microbi Res Ctr, Sch Environm Sci & Engn, Southern Marine Sci & Engn Guangdong Lab Zhuhai,St, Guangzhou 510006, Peoples R China
[3] ZJU, Hangzhou Global Sci & Technol Innovat Ctr, Hangzhou 310058, Peoples R China
[4] Zhejiang Univ, Zhejiang Prov Key Lab Agr Resources & Environm, Hangzhou 310058, Peoples R China
[5] Univ Adelaide, Acid Sulfate Soils Ctr, Sch Biol Sci, Adelaide 5005, Australia
[6] Hunan Agr Univ, Coll Agron, Changsha 410128, Peoples R China
[7] Hangzhou Normal Univ, Coll Life & Environm Sci, Hangzhou 310036, Peoples R China
基金
中国国家自然科学基金;
关键词
Trophic status; Microbial community; Interdomain interactions; Network complexity; BIODIVERSITY; NITROGEN; GENE; LIFE; LAKE;
D O I
10.1016/j.envpol.2022.120690
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Freshwater microorganisms and their interactions are important drivers of nutrient cycling that are in turn affected by nutrient status, causing shifts in microbial community diversity, composition, and interactions. However, the impact of water trophic status on bacterial-archaeal interdomain interactions remains poorly understood. This study focused on the impact of trophic status, as characterized by trophic state index (TSI), on the interdomain interactions of freshwater microbial communities from 45 ponds in Hangzhou. Our results showed that the mesotrophic wetland bordering on lightly eutrophic (Hemu: TSI of 49; lightly eutrophic is defined as 50 <= TSI <60) harbored a much more complex bacterial-archaeal interdomain network, which showed significantly (P < 0.05) higher connectivity than the wetlands with lower (TSI of 38) or higher (TSI of 57) trophic levels. Notably, light eutrophication strengthened the network modules' negative associations with organic carbon through some network hubs, which could trigger carbon loss in wetlands. We also detected a nonlinear response of interdomain network complexity to the increasing of nutrients with a turning point of approximately TSI 50. Quantitative estimates of community assembly processes and structural equation modelling analysis indicated that chlorophyll-a, total nitrogen, and total phosphorus could regulate interdomain network complexity (50% of the variation explanation rate) by driving microbial community assembly. This study demonstrates that microbial interdomain network complexity could be used as a bioindicator for ecological changes, which would helpful for improving ecological assessment of the freshwater eutrophication.
引用
收藏
页数:9
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