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Effects of season and water quality on community structure of planktonic eukaryotes in the Chaohu Lake Basin

文献类型： 外文期刊

作者： Zhang, Yan 1 ; Han, Maozhen 2 ; Wu, Li 1 ; Ding, Guoao 1 ; Liu, Kai 3 ; He, Kui 1 ; Zhao, Jingqiu 1 ; Liao, Yiwen 1 ; Gao, Yun 1 ; Zhang, Cui 1 ;

作者机构： 1.Hefei Normal Univ, Sch Biol & Food Engn, Hefei, Peoples R China

2.Anhui Med Univ, Sch Life Sci, Hefei, Peoples R China

3.Chinese Acad Fishery Sci, Freshwater Fisheries Res Ctr, Wuxi, Peoples R China

4.Minist Agr & Rural Affairs, Sci Observing & Expt Stn Fishery Resources & Envir, Wuxi, Peoples R China

关键词： aquatic ecosystem; aquatic physicochemical parameters; Chaohu Lake Basin; environmental DNA; eukaryotic plankton community

期刊名称：FRONTIERS IN MICROBIOLOGY （ 影响因子：4.5； 五年影响因子：5.2 ）

ISSN：

年卷期： 2024 年 15 卷

页码：

收录情况： SCI

摘要： Introduction Analyzing the correlation between planktonic eukaryotic communities (PECs) and aquatic physicochemical parameters (APPs) provides important references for predicting the impact of climate change and human activities on aquatic ecosystems.Methods To assess the influence of seasons and APPs on PEC structures in lakes and rivers, we utilized high-throughput sequencing of the 18S rRNA gene to analyze PEC structures in a lake and seven rivers in the Chaohu Lake Basin and analyzed their correlations with APPs.Results Our results revealed that PEC structure was significantly affected by season, with the highest alpha-diversity observed in summer. Furthermore, we identified several APPs, including water temperature, conductivity, dissolved oxygen, pH, phosphate, total phosphorus, trophic level index (TLI), nitrate, ammonia nitrogen, and total nitrogen, that significantly influenced PEC structures. Specifically, we found that Stephanodiscus hantzschii, Simocephalus serrulatus, Cryptomonas sp. CCAC_0109, Pedospumella encystans, Actinochloris sphaerica, Chlamydomonas angulosa, Gonyostomum semen, Skeletonema potamos, Chlamydomonas klinobasis, Pedospumella sp., and Neochlorosarcina negevensis were significantly correlated to TLI, while Limnoithona tetraspina, Theileria sp., and Pseudophyllomitus vesiculosus were significantly correlated to the water quality index (WQI). However, our random forest regression analysis using the top 100 species was unable to accurately predict the WQI and TLI.Discussion These results provide valuable data for evaluating the impact of APPs on PEC and for protecting water resource in the Chaohu Lake Basin.

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