Institute of Environmental Systems Biology, Environment Science and Engineering College, Dalian Maritime University, Dalian, Liaoning Province, 116026, China; Panjin Institute of Industrial Technology, Dalian University of Technology, Panjin 124221, Liaoning, China.
Institute of Environmental Systems Biology, Environment Science and Engineering College, Dalian Maritime University, Dalian, Liaoning Province, 116026, China.
Environ Res. 2023 Jan 1;216(Pt 3):114711. doi: 10.1016/j.envres.2022.114711. Epub 2022 Nov 2.
Anthropogenic discharge activities have increased nutrient pollution in coastal areas, leading to algal blooms and microbial community changes. Particularly, microbial communities could easily be affected with variation in nutrient pollution, and thus offered a promising strategy to predict early red tides warning via microbial community-levels variation and their keystone taxa hysteretic responses to nutrient pollution. Herein high-throughput sequencing technology from 52 samples were used to explore the variation of microbial communities and find the significant tipping points with aggravating nutrient conditions in Xiaoping Island coastal area. Results indicated that bacterial and microeukaryote communities were generally spatial and seasonal heterogeneity and were influenced by the different nutrient conditions. Procrustes test results showed that the comprehensive index of organics polluting (OPI), total nitrogen (TN), inorganic nitrogen (DIN), and total phosphorus (TP) were significantly correlated with the composition of bacteria and microeukaryotes. A SEGMENTED analysis revealed that the threshold of TN, DIN, and NH-N for bacterial community were 0.23 ± 0.091 mg/L, 0.21 ± 0.084 mg/L, 0.09 ± 0.057 mg/L, respectively. Tipping points for TN, DIN, and NH-N agreed with the concentration during Ceratium tripos and Skeletonema costatum blooms. Co-occurrence network results found that Planktomarina, Acinetobacter, and Verrucomicrobiaceae were keystone and OPI-discriminatory taxa. The abundant changes of Planktomarina at station A1 were significantly correlated with the development of C. tripos blooms (r = 0.55, p < 0.05), and also significantly correlated with TN, DIN, and NO-N (r≥|0.55|, p < 0.05). The abundant changes of Acinetobacter and Verrucomicrobiaceae at station C1 were significantly correlated with the development of C. tripos blooms (r ≥ 0.77, p < 0.05), and also significantly correlated with PO-P (r ≥ 0.64, p < 0.05). The dynamic abundance of keystone taxa showed that the trend of rapid changes could be monitored 1.5 months before the occurrence of red tide. Therefore, this study provides an assessment method for early warning of red tide occurrence and factors that trigger red tide.
人为排放活动增加了沿海地区的营养物污染，导致藻类大量繁殖和微生物群落变化。特别是，微生物群落很容易受到营养物污染变化的影响，因此通过微生物群落水平的变化及其对营养物污染的滞后反应的关键类群，可以提供一种预测赤潮早期预警的有前景的策略。本文使用来自 52 个样本的高通量测序技术，来探索微生物群落的变化，并在小嶝岛沿海地区找到随着营养条件恶化的显著转折点。结果表明，细菌和微型真核生物群落通常具有空间和季节性异质性，并受不同营养条件的影响。Procrustes 检验结果表明，综合有机物污染指数（OPI）、总氮（TN）、无机氮（DIN）和总磷（TP）与细菌和微型真核生物的组成显著相关。分段分析表明，细菌群落的 TN、DIN 和 NH-N 的阈值分别为 0.23±0.091mg/L、0.21±0.084mg/L 和 0.09±0.057mg/L。TN、DIN 和 NH-N 的转折点与三角角毛藻和中肋骨条藻爆发时的浓度一致。共生网络结果发现，Planktomarina、不动杆菌和疣微菌科是关键和 OPI 鉴别类群。站 A1 中 Planktomarina 的丰度变化与三角角毛藻的生长显著相关（r=0.55，p<0.05），与 TN、DIN 和 NO-N 也显著相关（r≥|0.55|，p<0.05）。站 C1 中不动杆菌和疣微菌科的丰度变化与三角角毛藻的生长显著相关（r≥0.77，p<0.05），与 PO-P 也显著相关（r≥0.64，p<0.05）。关键类群的动态丰度表明，赤潮发生前 1.5 个月可以监测到快速变化的趋势。因此，本研究为赤潮发生的早期预警和触发赤潮的因素提供了一种评估方法。
