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采煤沉陷湿地底泥微生物群落共现网络特征和功能预测

Microbial co-occurrence network characteristics and functional prediction of microbial communities in coal mining subsidence wetland sediments

  • 摘要: 东部平原采煤沉陷湿地不仅是重要水源涵养地,亦是农业区生物多样性宝库,如何发挥其生态功能对区域农田生态系统至关重要。采用高通量测序技术和微生物网络共现方法,以泉润、九里、潘安3种不同形成年限的采煤沉陷湿地底泥为研究对象,揭示丰富和稀有微生物群落的网络特征和功能。结果显示,湿地稀有细菌和丰富真菌类群的α多样性指数Shannon和Richness的变化趋势一致,随湿地形成年限增加而显著增长(九里>泉润>潘安,P < 0.05)。采煤沉陷湿地形成时间最长的九里组网络具有较高的连接数等拓扑属性,其网络稳定性和复杂性最高,网络节点之间正向关系占比均大于50%,湿地微生物类群之间趋向于合作关系。丰富细菌网络中变形菌门占比48.4%~57.3%,为主导菌门;丰富真菌网络中的主导菌门为子囊菌门,占比42.4%~55.9%。基于FAPROTAX功能预测发现,采煤沉陷湿地底泥细菌具有较强的代谢功能,且随湿地形成时间增加而提升,其中化能异养(11.78%~17.27%)、需氧化能异养(11.74%~16.24%)、芳香化合物降解(10.64%~12.27%)是细菌主导功能群。利用Funguild对湿地底泥真菌功能进行预测,发现主要功能类群为腐生菌,其中未定义腐生菌在3个年限湿地中相对丰度平均占比约为20.0%。采煤沉陷湿地微生物群落网络的高复杂性和功能的多样化可有助于采煤沉陷湿地生态功能恢复与再利用,对保障国家粮食安全、维护区域生态安全等具有重要意义。

     

    Abstract: Coal mining subsidence wetlands are crucial to farmland ecosystems in Eastern China plains, serving as important water conservation areas and biodiversity reservoirs in agricultural regions. How to perform their ecological functions is essential to the regional farmland ecosystems. High-throughput sequencing technology and microbial co-occurrence network analysis were employed to investigate coal-mining subsidence wetlands of three different formation ages, including Quanrun (QR), Jiuli (JL) and Pan'an (PA), revealing the network characteristics and functions of abundant and rare microbial communities. The results show that the α-diversity indices (Shannon and Richness) of rare bacterial and abundant fungal taxa exhibited consistent trends, significantly increasing with wetland formation age (JL>QR>PA, P < 0.05). The Jiuli group, representing the longest-formed coal-mining subsidence wetland, exhibited the significant network connectivity and other topological properties, indicating the highest network stability and complexity. The proportion of positive relationships among network nodes exceeded 50%, suggesting a cooperative trend among microbial taxa in the wetland. In the abundant bacterial networks, Proteobacteria accounted for 48.4% to 57.3% of the composition, serving as the dominant phylum. In the abundant fungal network, Ascomycota was the dominant phylum, accounting for 42.4% to 55.9%. Functional prediction based on FAPROTAX revealed that the sediment bacteria in coal-mining subsidence wetlands exhibited strong metabolic functions, which increased with wetland age. The dominant functional groups included chemoheterotrophy (11.78% to 17.27%), aerobic chemoheterotrophy (11.74% to 16.24%), and aromatic compound degradation (10.64% to 12.27%). Using Funguild to predict the functional roles of fungi in wetland sediments, the main functional group was found to be saprotrophs, with undefined saprotrophs accounting for approximately 20% relative abundance across all three wetland age groups. The high complex microbial networks and its multifunction of coal mining subsidence wetlands can facilitate ecological function restoration and reuse of these wetlands, holding significant importance for ensuring national food security and maintaining regional ecological safety.

     

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