State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China.
University of Chinese Academy of Sciences, Beijing, China.
Mol Ecol. 2018 Jan;27(2):550-563. doi: 10.1111/mec.14428. Epub 2017 Dec 2.
A central aim of this microbial ecology research was to investigate the mechanisms shaping the assembly of soil microbial communities. Despite the importance of bacterial and fungal mediation of carbon cycling in forest ecosystems, knowledge concerning their distribution patterns and underlying mechanisms remains insufficient. Here, soils were sampled from six bamboo forests across the main planting area of Moso bamboo in southern China. The bacterial and fungal diversities were assessed by sequencing 16S rRNA and ITS gene amplicons, respectively, with an Illumina MiSeq. Based on structural equation modelling, dispersal limitation had strongest impact on bacterial beta diversity, while the mean annual precipitation had a smaller impact by directly or indirectly mediating the soil organic carbon density. However, only the mean annual temperature and precipitation played direct roles in fungal beta diversity. Moreover, the co-occurrence network analyses revealed a possibly much higher network connectivity in the fungal network than in the bacteria. With less dispersal limitation, stronger environmental selection and a potentially more connected network, the fungal community had more important roles in the soil carbon metabolisms in bamboo forests. Fungal beta diversity and the clustering coefficient explained approximately 14.4% and 6.1% of the variation in the carbon metabolic profiles among sites, respectively, but that of bacteria only explained approximately 1.7% and 1.8%, respectively. This study explored soil microbial spatial patterns along with the underlying mechanisms of dispersal limitation, selection and connectivity of ecological networks, thus providing novel insights into the study of the distinct functional traits of different microbial taxa.
本项微生物生态学研究的主要目的是探索塑造土壤微生物群落组装的机制。尽管细菌和真菌在森林生态系统的碳循环中起着重要作用,但有关它们的分布模式和潜在机制的知识仍然不足。在这里,从中国南方毛竹主要种植区的六个竹林中采集了土壤样本。通过 Illumina MiSeq 对 16S rRNA 和 ITS 基因扩增子分别进行测序,评估了细菌和真菌的多样性。基于结构方程模型,扩散限制对细菌β多样性的影响最大,而平均年降水量则通过直接或间接介导土壤有机碳密度来间接影响细菌β多样性。然而,只有平均年温度和降水对真菌β多样性有直接作用。此外,共现网络分析表明,真菌网络的网络连通性可能比细菌网络高得多。由于扩散限制较小、环境选择较强以及潜在的更连通的网络,真菌群落对竹林土壤碳代谢的作用更大。真菌β多样性和聚类系数分别解释了站点间碳代谢谱变异的约 14.4%和 6.1%,而细菌仅分别解释了约 1.7%和 1.8%。本研究探索了土壤微生物的空间格局以及扩散限制、生态网络选择和连通性的潜在机制,从而为不同微生物类群的独特功能特性研究提供了新的见解。