Noguchi Mikihito, Toju Hirokazu
Center for Ecological Research, Kyoto University, Otsu, 520-2133, Shiga, Japan.
Research Fellow of Japan Society for the Promotion of Science, Tokyo, Japan.
Environ Microbiome. 2024 Nov 2;19(1):84. doi: 10.1186/s40793-024-00628-8.
Interactions between plants and diverse root-associated fungi are essential drivers of forest ecosystem dynamics. The symbiosis is potentially dependent on multiple ecological factors/processes such as host/symbiont specificity, background soil microbiome, inter-root dispersal of symbionts, and fungus-fungus interactions within roots. Nonetheless, it has remained a major challenge to reveal the mechanisms by which those multiple factors/processes determine the assembly of root-associated fungal communities. Based on the framework of joint species distribution modeling, we examined 1,615 root-tips samples collected in a cool-temperate forest to reveal how root-associated fungal community structure was collectively formed through filtering by host plants, associations with background soil fungi, spatial autocorrelation, and symbiont-symbiont interactions. In addition, to detect fungi that drive the assembly of the entire root-associated fungal community, we inferred networks of direct fungus-fungus associations by a statistical modeling that could account for implicit environmental effects.
The fine-scale community structure of root-associated fungi were best explained by the statistical model including the four ecological factors/processes. Meanwhile, among partial models, those including background soil fungal community structure and within-root fungus-fungus interactions showed the highest performance. When fine-root distributions were examined, ectomycorrhizal fungi tended to show stronger associations with background soil community structure and spatially autocorrelated patterns than other fungal guilds. In contrast, the distributions of root-endophytic fungi were inferred to depend greatly on fungus-fungus interactions. An additional statistical analysis further suggested that some endophytic fungi, such as Phialocephala and Leptodontidium, were placed at the core positions within the web of direct associations with other root-associated fungi.
By applying emerging statistical frameworks to intensive datasets of root-associated fungal communities, we demonstrated background soil fungal community structure and fungus-fungus associations within roots, as well as filtering by host plants and spatial autocorrelation in ecological processes, could collectively drive the assembly of root-associated fungi. We also found that basic assembly rules could differ between mycorrhizal and endophytic fungi, both of which were major components of forest ecosystems. Consequently, knowledge of how multiple ecological factors/processes differentially drive the assembly of multiple fungal guilds is indispensable for comprehensively understanding the mechanisms by which terrestrial ecosystem dynamics are organized by plant-fungal symbiosis.
植物与多种根系相关真菌之间的相互作用是森林生态系统动态变化的重要驱动因素。这种共生关系可能依赖于多种生态因子/过程,如宿主/共生体特异性、背景土壤微生物群落、共生体在根系间的扩散以及根系内真菌与真菌之间的相互作用。然而,揭示这些多种因子/过程如何决定根系相关真菌群落组装的机制仍然是一个重大挑战。基于联合物种分布模型的框架,我们研究了在一个寒温带森林中采集的1615个根尖样本,以揭示根系相关真菌群落结构是如何通过宿主植物的筛选、与背景土壤真菌的关联、空间自相关以及共生体与共生体之间的相互作用共同形成的。此外,为了检测驱动整个根系相关真菌群落组装的真菌,我们通过一种能够解释潜在环境影响的统计模型推断直接真菌与真菌关联的网络。
包括这四个生态因子/过程的统计模型能够最好地解释根系相关真菌的精细尺度群落结构。同时,在部分模型中,包括背景土壤真菌群落结构和根系内真菌与真菌相互作用的模型表现最佳。当检查细根分布时,外生菌根真菌与背景土壤群落结构和空间自相关模式的关联往往比其他真菌类群更强。相比之下,根内生真菌的分布被推断在很大程度上依赖于真菌与真菌之间的相互作用。进一步的统计分析表明,一些内生真菌,如瓶梗孢属和细齿菌属,在与其他根系相关真菌的直接关联网络中处于核心位置。
通过将新兴的统计框架应用于根系相关真菌群落的密集数据集,我们证明了背景土壤真菌群落结构和根系内真菌与真菌的关联,以及宿主植物的筛选和生态过程中的空间自相关,能够共同驱动根系相关真菌的组装。我们还发现,菌根真菌和内生真菌这两种森林生态系统的主要组成部分,其基本组装规则可能不同。因此,了解多种生态因子/过程如何不同地驱动多个真菌类群的组装,对于全面理解陆地生态系统动态如何由植物 - 真菌共生组织起来的机制是必不可少的。