Wang Zihui, Jiang Yuan, Zhang Minhua, Chu Chengjin, Chen Yongfa, Fang Shuai, Jin Guangze, Jiang Mingxi, Lian Ju-Yu, Li Yanpeng, Liu Yu, Ma Keping, Mi Xiangcheng, Qiao Xiujuan, Wang Xihua, Wang Xugao, Xu Han, Ye Wanhui, Zhu Li, Zhu Yan, He Fangliang, Kembel Steven W
Département des Sciences Biologiques, Université du Québec à Montréal, Montréal, Québec, H2X 1Y4, Canada.
ECNU-Alberta Joint Lab for Biodiversity Study, Tiantong Forest Ecosystem National Observation and Research Station, School of Ecology and Environmental Sciences, East China Normal University, Shanghai, 200241, China.
New Phytol. 2023 Nov;240(4):1534-1547. doi: 10.1111/nph.19235. Epub 2023 Aug 30.
Predicting and managing the structure and function of plant microbiomes requires quantitative understanding of community assembly and predictive models of spatial distributions at broad geographic scales. Here, we quantified the relative contribution of abiotic and biotic factors to the assembly of phyllosphere bacterial communities, and developed spatial distribution models for keystone bacterial taxa along a latitudinal gradient, by analyzing 16S rRNA gene sequences from 1453 leaf samples taken from 329 plant species in China. We demonstrated a latitudinal gradient in phyllosphere bacterial diversity and community composition, which was mostly explained by climate and host plant factors. We found that host-related factors were increasingly important in explaining bacterial assembly at higher latitudes while nonhost factors including abiotic environments, spatial proximity and plant neighbors were more important at lower latitudes. We further showed that local plant-bacteria associations were interconnected by hub bacteria taxa to form metacommunity-level networks, and the spatial distribution of these hub taxa was controlled by hosts and spatial factors with varying importance across latitudes. For the first time, we documented a latitude-dependent importance in the driving factors of phyllosphere bacteria assembly and distribution, serving as a baseline for predicting future changes in plant phyllosphere microbiomes under global change and human activities.
预测和管理植物微生物群的结构与功能需要在广泛的地理尺度上对群落组装进行定量理解,并建立空间分布预测模型。在此,我们通过分析来自中国329种植物的1453份叶片样本的16S rRNA基因序列,量化了非生物和生物因素对叶际细菌群落组装的相对贡献,并建立了沿纬度梯度的关键细菌类群的空间分布模型。我们展示了叶际细菌多样性和群落组成的纬度梯度,这主要由气候和寄主植物因素所解释。我们发现,寄主相关因素在解释高纬度地区的细菌组装时变得越来越重要,而非寄主因素,包括非生物环境、空间距离和植物邻体,在低纬度地区更为重要。我们进一步表明,本地植物-细菌关联通过枢纽细菌类群相互连接,形成了集合群落水平的网络,并且这些枢纽类群的空间分布受寄主和空间因素控制,其重要性在不同纬度有所不同。我们首次记录了叶际细菌组装和分布的驱动因素中存在纬度依赖性重要性,这为预测全球变化和人类活动下植物叶际微生物群的未来变化提供了一个基线。