State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, 71 East Beijing Road, Nanjing 210008, China.
Departamento de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, 41013 Sevilla, Spain.
Environ Int. 2020 Sep;142:105869. doi: 10.1016/j.envint.2020.105869. Epub 2020 Jun 25.
Microbial taxa within complex ecological networks can be classified by their universal roles based on their level of connectivity with other taxa. Highly connected taxa within an ecological network (kinless hubs) are theoretically expected to support higher levels of ecosystem functions than less connected taxa (peripherals). Empirical evidence of the role of kinless hubs in regulating the functional potential of soil microbial communities, however, is largely unexplored and poorly understood in agricultural ecosystems. Here, we built a correlation network of fungal and bacterial taxa using a large-scale survey consisting of 243 soil samples across functionally and economically important agricultural ecosystems (wheat and maize); and found that the relative abundance of taxa classified as kinless hubs within the ecological network are positively and significantly correlated with the abundance of functional genes including genes for C fixation, C degradation, C methanol, N cycling, P cycling and S cycling. Structural equation modeling of multiple soil properties further indicated that kinless hubs, but not provincial, connector or peripheral taxa, had direct significant and positive relationships with the abundance of multiple functional genes. Our findings provide novel evidence that the relative abundance of soil taxa classified as kinless hubs within microbial networks are associated with high functional potential, with implications for understanding and managing (through manipulating microbial key species) agricultural ecosystems at a large spatial scale.
在复杂的生态网络中,根据与其他分类单元的连接程度,微生物分类单元可以分为通用角色。生态网络中高度连接的分类单元(无亲缘关系的枢纽)理论上预计比连接程度较低的分类单元(边缘)支持更高水平的生态系统功能。然而,无亲缘关系枢纽在调节土壤微生物群落功能潜力方面的作用的实证证据在农业生态系统中很大程度上尚未得到探索和理解。在这里,我们使用由 243 个土壤样本组成的大规模调查构建了真菌和细菌分类单元的相关网络,这些样本来自功能和经济上重要的农业生态系统(小麦和玉米);并发现生态网络中归类为无亲缘关系枢纽的分类单元的相对丰度与包括 C 固定、C 降解、C 甲醇、N 循环、P 循环和 S 循环在内的功能基因的丰度呈正相关且显著相关。对多个土壤特性的结构方程模型进一步表明,无亲缘关系枢纽,而不是省级枢纽、连接枢纽或边缘枢纽,与多个功能基因的丰度有直接显著的正相关关系。我们的研究结果提供了新的证据,表明微生物网络中归类为无亲缘关系枢纽的土壤分类单元的相对丰度与高功能潜力相关,这对于在大空间尺度上理解和管理(通过操纵微生物关键物种)农业生态系统具有重要意义。