摘要 To assess the contribution of fungal community bioindicators to river ecosystem evaluations, this study established a microbial integrity index (M-IBI) framework using high-throughput sequencing data of sediment samples collected from Zhangcun River during the wet season (September 2020) and dry season (March 2022). Core evaluation indicators, covering various metric types, were identified through distribution range, discriminatory ability, and correlation analysis. The results indicate that the key indicators for the wet season include the relative abundance of Agaricomycetes, the combined relative abundance of Ascomycota and Basidiomycota, the relative abundance of species negatively correlated with chemical oxygen demand (COD), and the relative abundance of animal pathogens. In contrast, the core indicators for dry season comprise the relative abundance of Hypocreales, the relative abundance of Tremellales, the ratio of Ascomycota to Basidiomycota, and the relative abundance of strains negatively correlated with conductivity and pH. Based on these findings, a fungal community-based M-IBI was calculated, which effectively differentiate the reference and impaired sites, and shows a significant correlation with water quality. The M-IBI based on fungal communities is a reliable and promising method for assessing river ecological conditions.
Abstract：To assess the contribution of fungal community bioindicators to river ecosystem evaluations, this study established a microbial integrity index (M-IBI) framework using high-throughput sequencing data of sediment samples collected from Zhangcun River during the wet season (September 2020) and dry season (March 2022). Core evaluation indicators, covering various metric types, were identified through distribution range, discriminatory ability, and correlation analysis. The results indicate that the key indicators for the wet season include the relative abundance of Agaricomycetes, the combined relative abundance of Ascomycota and Basidiomycota, the relative abundance of species negatively correlated with chemical oxygen demand (COD), and the relative abundance of animal pathogens. In contrast, the core indicators for dry season comprise the relative abundance of Hypocreales, the relative abundance of Tremellales, the ratio of Ascomycota to Basidiomycota, and the relative abundance of strains negatively correlated with conductivity and pH. Based on these findings, a fungal community-based M-IBI was calculated, which effectively differentiate the reference and impaired sites, and shows a significant correlation with water quality. The M-IBI based on fungal communities is a reliable and promising method for assessing river ecological conditions.
王淑雯, 林家枫, 宋沼潞, 李先国, 张大海. 基于微生物生物完整性指数的河流生态系统健康评价——以青岛市张村河为例[J]. 中国环境科学, 2024, 44(11): 6354-6363.
WANG Shu-wen, LIN Jia-feng, SONG Zhao-lu, LI Xian-guo, ZHANG Da-hai. Assessment of ecosystem health of river based on microbe index of biotic integrity (M-IBI) —A case study of Zhangcun River in Qingdao. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(11): 6354-6363.
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