中文关键词不同土地利用方式土壤细菌群落细菌分子生态网络细菌相互作用Illumina MiSeq高通量测序 英文关键词different land use typessoil bacterial communitybacterial molecular ecological networkbacterial interactionIllumina MiSeq high-throughput sequencing

作者	单位	E-mail
李冰	沈阳大学区域污染环境生态修复教育部重点实验室, 沈阳 110044 中国科学院沈阳应用生态研究所, 沈阳 110016	709332593@qq.com
李玉双	沈阳大学区域污染环境生态修复教育部重点实验室, 沈阳 110044	ysli_syu@163.com
魏建兵	沈阳大学区域污染环境生态修复教育部重点实验室, 沈阳 110044
宋雪英	沈阳大学区域污染环境生态修复教育部重点实验室, 沈阳 110044
史荣久	中国科学院沈阳应用生态研究所, 沈阳 110016
侯永侠	沈阳大学区域污染环境生态修复教育部重点实验室, 沈阳 110044
刘厶瑶	沈阳大学区域污染环境生态修复教育部重点实验室, 沈阳 110044

中文摘要 利用16S rDNA基因Illumina MiSeq高通量测序技术结合分子生态网络方法，测定了4种利用类型土地中的细菌群落组成，并分别构建了可视化的细菌网络.结果表明，旱田和水田土壤细菌网络的平均路径长度与模块性较小，而节点数、连接数、平均连通度和聚类系数较高；4个细菌网络均以正相关关系占优，天然林地负相关比例较高；酸杆菌门、厚壁菌门和变形菌门中的部分菌群在土壤细菌网络中起着重要的连接作用；4个细菌网络的部分关键节点所属的菌群相对丰度较低（<1%），并非本研究区域的主体细菌；旱田土壤菌群主要受TP显著影响（P<0.05）；水田土壤菌群主要受黏粒、粉粒和含水量显著影响（P<0.05）；天然林地和城市绿地土壤菌群主要受C/N显著影响（P<0.05）.以上研究结果表明，旱田土壤细菌网络规模更大，物种间关系更加复杂，不同利用类型土地中的细菌均以协同合作关系为主，天然林地土壤细菌之间存在更强的竞争作用.水田和旱田土壤细菌对外界环境因子的扰动更加敏感，响应迅速，群落结构更易发生变化；部分细菌在网络间存在角色转化现象，低丰度菌群在构建土壤细菌网络中具有重要作用. 英文摘要 The bacterial community composition in four land-use types was determined and the visualized bacterial network was constructed by 16S rDNA Illumina MiSeq high-throughput sequencing technology and a molecular ecological network method. The results show that Proteobacteria, Acidobacteria, Bacteroidetes, Chloroflexi, Actinobacteria, Planctomycetes, Verrucomicrobia, Cyanobacteria, Gemmatimonadetes, Firmicutes, Nitrospirae, and Chlorobi are the main bacteria in this area. The number of nodes of urban green land, paddy field, and dry field bacteria networks is higher, and that of natural forest land is lower. The number of connections and average connectivity of dry fields are the highest; following are those of urban green land and paddy field, and those of natural forest land are the lowest. The four bacterial networks are dominated by positive correlation, and the ratio of competition relationship is TL > LD > HT > ST. The average network path and modularity of the soil bacteria networks of paddy field and dry land are small, while the average connectivity and clustering coefficient are higher. Some flora of Acidobacteria, Firmicutes, and Proteobacteria play an important role in the soil bacterial network in this area. The classification of operational taxonomic units is different among the key nodes of different bacterial molecular ecological networks, and there is almost no overlap. The relative abundance of bacteria of some key nodes in the four bacterial networks is low (<1%), and these are not the main bacteria in this area. The soil microflora in dry land are mainly affected by TP (P<0.05), the soil microflora in paddy field were mainly affected by clay, silt, and water content (P<0.05), and that in natural forest land and urban green land were mainly affected by C/N (P<0.05). The above results show that different land-use patterns lead to changes in soil physical and chemical properties and the interaction between soil bacteria species. The bacterial network of dry land soil is larger and the relationship between species is more complex. The bacteria in different land-use types are mainly cooperative, and the competition is weak. Compared with other land-use types, there is stronger competition between the bacteria in natural forest soil. The soil bacteria in paddy field and dry land are the most sensitive to the external environment, respond more quickly, and the community structure is easier to change. The response of soil bacteria in natural forest land and urban green land is slower, and the disturbance of environmental factors does not affect the whole bacterial ecological network in a short time, and thus the community structure is more stable. Some bacteria have the phenomenon of species role transformation between networks. The abundance and community distribution of microorganisms cannot indicate the strength of their connectivity between network nodes; low-abundance bacteria in soil play an important role in the construction of bacterial networks.

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