Roles of sulfur compounds in growth and alkaline phosphatase activities of Microcystis aeruginosa under phosphorus deficiency stress
Roles of sulfur compounds in growth and alkaline phosphatase activities of Microcystis aeruginosa under phosphorus deficiency stress
复制标题
缺磷胁迫下硫化合物对铜绿微囊藻生长和碱性磷酸酶活性的影响
DOI:
10.1007/s11356-020-08480-2
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发表时间:
2020-04
影响因子:
5.8
通讯作者:
Dayi Zhang
中科院分区:
文献类型:
--
作者:
En Xie;Fangfang Li;Chaozi Wang;Shi Wei;Chen Huang;Keyu Fa;Xiao Zhao;Dayi Zhang
Microcystis aeruginosa is one of the most common algae found in eutrophicated water bodies. Alkaline phosphatase (AKP) can be produced by Microcystis aeruginosa to utilize organic phosphates under phosphorus deficiency stress, thereby AKP can be regarded as an important indicator for algal growth. Sulfur compounds are ubiquitous in waters, while investigation on the interactions between sulfur compounds and Microcystis aeruginosa is limited. In this work, we introduced 33 types of sulfur compounds to culture Microcystis aeruginosa, and the results demonstrated that algal growth is positively related to AKP activities. Toxicity of organic sulfur compounds was further evaluated using Toxicity Estimation Software Tool based on quantitative structure-activity relationship prediction. The algal growth results exhibited strong correlation to the toxicity endpoints suggesting the organic sulfur compounds inhibits the algal growth as toxic matters. K-means cluster analyses have been carried out subsequently via Python based on the results of algal growth and AKP activities of each sample and statistically, the sulfur compounds can be adequately clustered into 2 groups. According to clustering results, sulfonic acids exhibit low toxicity while sulfur amino acids can be considered as more toxic compounds. Graphical abstract Varied sulfur compounds (33 types) were investigated to find out the interactions between them and Microcystis aeruginosa, a common alga. K-means cluster and correlation analyses demonstrate that algal growth and alkaline phosphatase activities exhibited strong correlation to the predicted toxicity endpoints.
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影响因子:
3.7
作者:
Fu M;Song X;Yu Z;Liu Y
通讯作者:
Liu Y
影响因子:
6.4
作者:
Jinbo Zhao;Xuehua Liu
通讯作者:
Jinbo Zhao;Xuehua Liu
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5.8
作者:
Hongbo Liu;Xiao-yan Song;Yongnian Guan;Ding Pan;Yanhua Li;Suyun Xu;Y. Fang
通讯作者:
Hongbo Liu;Xiao-yan Song;Yongnian Guan;Ding Pan;Yanhua Li;Suyun Xu;Y. Fang
影响因子:
11.4
作者:
Schindler, David W.;Carpenter, Stephen R.;Orihel, Diane M.
通讯作者:
Orihel, Diane M.
影响因子:
4.5
作者:
Fujimoto, N;Sudo, R;Inamori, Y
通讯作者:
Inamori, Y