Zhang Yuguang, Cong Jing, Lu Hui, Li Guangliang, Qu Yuanyuan, Su Xiujiang, Zhou Jizhong, Li Diqiang
Institute of Forestry Ecology, Environment and Protection, Key Laboratory of Forest Ecology and Environment of State Forestry Administration, Chinese Academy of Forestry, Beijing 100091, China.
Institute of Forestry Ecology, Environment and Protection, Key Laboratory of Forest Ecology and Environment of State Forestry Administration, Chinese Academy of Forestry, Beijing 100091, China; School of Mineral Processing and Bioengineering, Central South University, Changsha 410083, China.
J Environ Sci (China). 2014 Aug 1;26(8):1717-24. doi: 10.1016/j.jes.2014.06.012. Epub 2014 Jun 23.
Acidobacteria is one of the most dominant and abundant phyla in soil, and was believed to have a wide range of metabolic and genetic functions. Relatively little is known about its community structure and elevational diversity patterns. We selected four elevation gradients from 1000 to 2800 m with typical vegetation types of the northern slope of Shennongjia Mountain in central China. The vegetation types were evergreen broadleaved forest, deciduous broadleaved forest, coniferous forest and sub-alpine shrubs. We analyzed the soil acidobacterial community composition, elevational patterns and the relationship between Acidobacteria subdivisions and soil enzyme activities by using the 16S rRNA meta-sequencing technique and multivariate statistical analysis. The result found that 19 known subdivisions as well as an unclassified phylotype were presented in these forest sites, and Subdivision 6 has the highest number of detectable operational taxonomic units (OTUs). A significant single peak distribution pattern (P<0.05) between the OTU number and the elevation was observed. The Jaccard and Bray-Curtis index analysis showed that the soil Acidobacteria compositional similarity significantly decreased (P<0.01) with the increase in elevation distance. Mantel test analysis showed the most of the soil Acidobacteria subdivisions had the significant relationship (P<0.01) with different soil enzymes. Therefore, soil Acidobacteria may be involved in different ecosystem functions in global elemental cycles. Partial Mantel tests and CCA analysis showed that soil pH, soil temperature and plant diversity may be the key factors in shaping the soil Acidobacterial community structure.
酸杆菌门是土壤中最主要且数量丰富的门类之一,被认为具有广泛的代谢和遗传功能。人们对其群落结构和海拔多样性模式了解相对较少。我们在中国中部神农架山北坡选取了四个海拔梯度,范围从1000米至2800米,具有典型的植被类型。植被类型包括常绿阔叶林、落叶阔叶林、针叶林和亚高山灌丛。我们运用16S rRNA宏测序技术和多元统计分析,分析了土壤酸杆菌群落组成、海拔格局以及酸杆菌亚群与土壤酶活性之间的关系。结果发现,这些森林站点中存在19个已知亚群以及一个未分类的系统发育型,其中第6亚群具有最高数量的可检测操作分类单元(OTU)。观察到OTU数量与海拔之间存在显著的单峰分布模式(P<0.05)。Jaccard和Bray-Curtis指数分析表明,随着海拔距离的增加,土壤酸杆菌组成相似度显著降低(P<0.01)。Mantel检验分析表明,大多数土壤酸杆菌亚群与不同土壤酶存在显著关系(P<0.01)。因此,土壤酸杆菌可能参与全球元素循环中的不同生态系统功能。偏Mantel检验和CCA分析表明,土壤pH、土壤温度和植物多样性可能是塑造土壤酸杆菌群落结构的关键因素。