Department of Biology, Boston University, 5 Cummington Mall, Boston, MA, USA.
Department of Earth & Environment, Boston University, Boston, MA, USA.
ISME J. 2019 Aug;13(8):2082-2093. doi: 10.1038/s41396-019-0420-1. Epub 2019 Apr 24.
Large-scale environmental sequencing efforts have transformed our understanding of the spatial controls over soil microbial community composition and turnover. Yet, our knowledge of temporal controls is comparatively limited. This is a major uncertainty in microbial ecology, as there is increasing evidence that microbial community composition is important for predicting microbial community function in the future. Here, we use continental- and global-scale soil fungal community surveys, focused within northern temperate latitudes, to estimate the relative contribution of time and space to soil fungal community turnover. We detected large intra-annual temporal differences in soil fungal community similarity, where fungal communities differed most among seasons, equivalent to the community turnover observed over thousands of kilometers in space. inter-annual community turnover was comparatively smaller than intra-annual turnover. Certain environmental covariates, particularly climate covariates, explained some spatial-temporal effects, though it is unlikely the same mechanisms drive spatial vs. temporal turnover. However, these commonly measured environmental covariates could not fully explain relationships between space, time and community composition. These baseline estimates of fungal community turnover in time provide a starting point to estimate the potential duration of legacies in microbial community composition and function.
大规模的环境测序工作改变了我们对土壤微生物群落组成和周转率空间控制的理解。然而,我们对时间控制的了解相对有限。这是微生物生态学中的一个主要不确定性,因为越来越多的证据表明,微生物群落组成对于预测未来微生物群落功能很重要。在这里,我们利用大陆和全球尺度的土壤真菌群落调查,重点关注北温带地区,来估计时间和空间对土壤真菌群落周转率的相对贡献。我们检测到土壤真菌群落相似性的年内较大差异,其中真菌群落在季节之间的差异最大,相当于数千公里空间上的群落周转率。年际群落周转率比年内周转率小。某些环境协变量,特别是气候协变量,解释了一些时空效应,但推动空间与时间周转率的机制不太可能相同。然而,这些常见的测量环境协变量不能完全解释空间、时间和群落组成之间的关系。这些关于真菌群落在时间上的周转率的基准估计值为估计微生物群落组成和功能中遗传的潜在持续时间提供了一个起点。