■分析浮游真核生物群落(PECs)与水生理化参数(APPs)之间的相关性,为预测气候变化和人类活动对水生生态系统的影响提供了重要参考。
■为了评估季节和APP对湖泊和河流中PEC结构的影响,我们利用18SrRNA基因的高通量测序分析了巢湖流域湖泊和七个河流中的PEC结构,并分析了它们与APP的相关性。
■我们的结果表明,PEC结构受到季节的显著影响,在夏季观察到最高的α多样性。此外,我们确定了几个APP,包括水温,电导率,溶解氧,pH值,磷酸盐,总磷,营养水平指数(TLI),硝酸盐,氨氮,和总氮,显著影响PEC结构。具体来说,我们发现Stephanodiscushantzschii,无头鱼,Cryptomonassp.CCAC_0109,Pedospumellaencystans,放线草,angulosa衣藻,性腺孔精液,骷髅,克氏衣藻病,Pedospumellasp.,新绿藻与TLI显著相关,而石灰质四刺,Theileriasp.,和水煎藻与水质指数(WQI)显着相关。然而,我们使用前100种物种的随机森林回归分析无法准确预测WQI和TLI.
■这些结果为评估APP对PEC的影响以及保护巢湖流域的水资源提供了有价值的数据。
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: Our results revealed that PEC structure was significantly affected by season, with the highest α-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.
UNASSIGNED: These results provide valuable data for evaluating the impact of APPs on PEC and for protecting water resource in the Chaohu Lake Basin.