Hu Ang, Nie Yanxia, Yu Guirui, Han Conghai, He Jinhong, He Nianpeng, Liu Shirong, Deng Jie, Shen Weijun, Zhang Gengxin
Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.
College of Resources and Environment, Hunan Agricultural University, Changsha, China.
Front Microbiol. 2019 Apr 2;10:674. doi: 10.3389/fmicb.2019.00674. eCollection 2019.
Seasonality, an exogenous driver, motivates the biological and ecological temporal dynamics of animal and plant communities. Underexplored microbial temporal endogenous dynamics hinders the prediction of microbial response to climate change. To elucidate temporal dynamics of microbial communities, temporal turnover rates, phylogenetic relatedness, and species interactions were integrated to compare those of a series of forest ecosystems along latitudinal gradients. The seasonal turnover rhythm of microbial communities, estimated by the slope ( value) of similarity-time decay relationship, was spatially structured across the latitudinal gradient, which may be caused by a mixture of both diurnal temperature variation and seasonal patterns of plants. Statistical analyses revealed that diurnal temperature variation instead of average temperature imposed a positive and considerable effect alone and also jointly with plants. Due to higher diurnal temperature variation with more climatic niches, microbial communities might evolutionarily adapt into more dispersed phylogenetic assembly based on the standardized effect size of MNTD metric, and ecologically form higher community resistance and resiliency with stronger network interactions among species. Archaea and the bacterial groups of , and were sensitive to diurnal temperature variation with greater turnover rates at higher latitudes, indicating that greater diurnal temperature fluctuation imposes stronger selective pressure on thermal specialists, because bacteria and archaea, single-celled organisms, have extreme short generation period compared to animal and plant. Our findings thus illustrate that the dynamics of microbial community and species interactions are crucial to assess ecosystem stability to climate variations in an increased climatic variability era.
季节性作为一种外源驱动因素,推动着动植物群落的生物和生态时间动态变化。尚未得到充分研究的微生物时间内源性动态变化阻碍了对微生物对气候变化反应的预测。为了阐明微生物群落的时间动态变化,我们整合了时间周转率、系统发育相关性和物种相互作用,以比较一系列沿纬度梯度分布的森林生态系统中的这些指标。通过相似性-时间衰减关系的斜率(值)估算的微生物群落季节性周转节律,在纬度梯度上呈现出空间结构,这可能是由昼夜温度变化和植物季节性模式共同作用导致的。统计分析表明,昼夜温度变化而非平均温度单独以及与植物共同作用时,都产生了积极且显著的影响。由于昼夜温度变化较大且具有更多的气候生态位,基于MNTD指标的标准化效应量,微生物群落可能在进化上适应形成更分散的系统发育组装,并在生态上形成更高的群落抗性和恢复力,物种间具有更强的网络相互作用。古菌以及细菌类群、和对昼夜温度变化敏感,在高纬度地区周转率更高,这表明更大的昼夜温度波动对热适应型微生物施加了更强的选择压力,因为与动植物相比,细菌和古菌作为单细胞生物,其世代周期极短。因此,我们的研究结果表明,在气候变率增加的时代,微生物群落动态变化和物种相互作用对于评估生态系统对气候变化的稳定性至关重要。