Li Jiabao, Shen Zehao, Li Chaonan, Kou Yongping, Wang Yansu, Tu Bo, Zhang Shiheng, Li Xiangzhen
Key Laboratory of Environmental and Applied Microbiology, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.
Environmental Microbiology Key Laboratory of Sichuan Province, Chengdu, China.
Front Microbiol. 2018 Mar 27;9:569. doi: 10.3389/fmicb.2018.00569. eCollection 2018.
Ecological understandings of soil bacterial community succession and assembly mechanism along elevational gradients in mountains remain not well understood. Here, by employing the high-throughput sequencing technique, we systematically examined soil bacterial diversity patterns, the driving factors, and community assembly mechanisms along the elevational gradients of 1800-4100 m on Gongga Mountain in China. Soil bacterial diversity showed an extraordinary stair-step pattern along the elevational gradients. There was an abrupt decrease of bacterial diversity between 2600 and 2800 m, while no significant change at either lower (1800-2600 m) or higher (2800-4100 m) elevations, which coincided with the variation in soil pH. In addition, the community structure differed significantly between the lower and higher elevations, which could be primarily attributed to shifts in soil pH and vegetation types. Although there was no direct effect of MAP and MAT on bacterial community structure, our partial least squares path modeling analysis indicated that bacterial communities were indirectly influenced by climate via the effect on vegetation and the derived effect on soil properties. As for bacterial community assembly mechanisms, the null model analysis suggested that environmental filtering played an overwhelming role in the assembly of bacterial communities in this region. In addition, variation partition analysis indicated that, at lower elevations, environmental attributes explained much larger fraction of the β-deviation than spatial attributes, while spatial attributes increased their contributions at higher elevations. Our results highlight the importance of environmental filtering, as well as elevation-related spatial attributes in structuring soil bacterial communities in mountain ecosystems.
关于山区土壤细菌群落沿海拔梯度的演替及组装机制的生态学理解仍未得到充分认识。在此,我们采用高通量测序技术,系统地研究了中国贡嘎山海拔1800 - 4100米梯度上土壤细菌的多样性模式、驱动因素及群落组装机制。土壤细菌多样性沿海拔梯度呈现出独特的阶梯状模式。在2600米至2800米之间细菌多样性急剧下降,而在较低海拔(1800 - 2600米)或较高海拔(2800 - 4100米)则无显著变化,这与土壤pH值的变化一致。此外,低海拔和高海拔地区的群落结构差异显著,这主要归因于土壤pH值和植被类型的变化。虽然年均降水量(MAP)和年均气温(MAT)对细菌群落结构没有直接影响,但我们的偏最小二乘路径建模分析表明,细菌群落通过对植被的影响以及对土壤性质的衍生影响而间接受到气候的影响。至于细菌群落组装机制,空模型分析表明环境过滤在该地区细菌群落组装中起主导作用。此外,变异分解分析表明,在较低海拔,环境属性对β偏差的解释比例远大于空间属性,而在较高海拔空间属性的贡献增加。我们的结果突出了环境过滤以及与海拔相关的空间属性在构建山地生态系统土壤细菌群落中的重要性。