Li Bing, Li Yu-Shuang, Wei Jian-Bing, Song Xue-Ying, Shi Rong-Jiu, Hou Yong-Xia, Liu Si-Yao
Key Laboratory of Regional Polluted Environment Ecological Restoration, Ministry of Education, Shenyang University, Shenyang 110044, China.
Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.
Huan Jing Ke Xue. 2020 Mar 8;41(3):1456-1465. doi: 10.13227/j.hjkx.201907179.
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 (<0.05), the soil microflora in paddy field were mainly affected by clay, silt, and water content (<0.05), and that in natural forest land and urban green land were mainly affected by C/N (<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.
采用16S rDNA Illumina MiSeq高通量测序技术和分子生态网络方法,测定了四种土地利用类型中的细菌群落组成,并构建了可视化细菌网络。结果表明,变形菌门、酸杆菌门、拟杆菌门、绿弯菌门、放线菌门、浮霉菌门、疣微菌门、蓝细菌门、芽单胞菌门、厚壁菌门、硝化螺旋菌门和绿菌门是该地区的主要细菌。城市绿地、水田和旱地细菌网络的节点数较高,天然林地的节点数较低。旱地的连接数和平均连通性最高;其次是城市绿地和水田,天然林地的最低。四个细菌网络以正相关为主,竞争关系比例为TL > LD > HT > ST。水田和旱地土壤细菌网络的平均网络路径和模块度较小,而平均连通性和聚类系数较高。酸杆菌门、厚壁菌门和变形菌门的一些菌群在该地区土壤细菌网络中起重要作用。不同细菌分子生态网络的关键节点间的可操作分类单元分类不同,几乎没有重叠。四个细菌网络中一些关键节点的细菌相对丰度较低(<1%),这些不是该地区的主要细菌。旱地土壤微生物群落主要受总磷(<0.05)影响,水田土壤微生物群落主要受黏土、粉砂和含水量(<0.05)影响,天然林地和城市绿地的主要受碳氮比(<0.05)影响。上述结果表明,不同土地利用模式导致土壤理化性质变化及土壤细菌物种间相互作用改变。旱地土壤细菌网络较大,物种间关系更复杂。不同土地利用类型中的细菌主要是合作关系,竞争较弱。与其他土地利用类型相比,天然林土壤中细菌间竞争更强。水田和旱地土壤细菌对外部环境最敏感,响应更快,群落结构更容易变化。天然林地和城市绿地土壤细菌响应较慢,环境因子的干扰在短时间内不会影响整个细菌生态网络,因此群落结构更稳定。一些细菌在网络间存在物种作用转变现象。微生物丰度和群落分布不能表明其在网络节点间连通性的强弱;土壤中低丰度细菌在细菌网络构建中起重要作用。