State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.
ISME J. 2014 Feb;8(2):430-40. doi: 10.1038/ismej.2013.146. Epub 2013 Aug 29.
Tibet is one of the most threatened regions by climate warming, thus understanding how its microbial communities function may be of high importance for predicting microbial responses to climate changes. Here, we report a study to profile soil microbial structural genes, which infers functional roles of microbial communities, along four sites/elevations of a Tibetan mountainous grassland, aiming to explore the potential microbial responses to climate changes via a strategy of space-for-time substitution. Using a microarray-based metagenomics tool named GeoChip 4.0, we showed that microbial communities were distinct for most but not all of the sites. Substantial variations were apparent in stress, N and C-cycling genes, but they were in line with the functional roles of these genes. Cold shock genes were more abundant at higher elevations. Also, gdh converting ammonium into urea was more abundant at higher elevations, whereas ureC converting urea into ammonium was less abundant, which was consistent with soil ammonium contents. Significant correlations were observed between N-cycling genes (ureC, gdh and amoA) and nitrous oxide flux, suggesting that they contributed to community metabolism. Lastly, we found by Canonical correspondence analysis, Mantel tests and the similarity tests that soil pH, temperature, NH4(+)-N and vegetation diversity accounted for the majority (81.4%) of microbial community variations, suggesting that these four attributes were major factors affecting soil microbial communities. On the basis of these observations, we predict that climate changes in the Tibetan grasslands are very likely to change soil microbial community functional structure, with particular impacts on microbial N-cycling genes and consequently microbe-mediated soil N dynamics.
西藏是受气候变暖威胁最严重的地区之一,因此了解其微生物群落的功能对于预测微生物对气候变化的响应可能非常重要。在这里,我们报告了一项研究,该研究旨在沿着西藏山地草原的四个地点/海拔 profiling 土壤微生物结构基因,以推断微生物群落的功能作用,目的是通过时空替代策略探索微生物对气候变化的潜在响应。使用基于微阵列的宏基因组学工具 GeoChip 4.0,我们表明,大多数但不是所有的地点的微生物群落都有明显的区别。压力、氮和碳循环基因有明显的变化,但它们与这些基因的功能作用一致。冷休克基因在较高的海拔上更为丰富。此外,在较高的海拔上,将铵转化为尿素的 gdh 更为丰富,而将尿素转化为铵的 ureC 则较少,这与土壤中的铵含量一致。氮循环基因(ureC、gdh 和 amoA)与氧化亚氮通量之间存在显著相关性,表明它们有助于群落代谢。最后,我们通过典范对应分析、Mantel 检验和相似性检验发现,土壤 pH 值、温度、NH4(+)-N 和植被多样性占微生物群落变化的大部分(81.4%),表明这四个属性是影响土壤微生物群落的主要因素。基于这些观察,我们预测西藏草原的气候变化很可能改变土壤微生物群落的功能结构,特别是对微生物氮循环基因产生影响,从而影响微生物介导的土壤氮动态。