College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China.
College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
Appl Environ Microbiol. 2019 Jun 17;85(13). doi: 10.1128/AEM.00162-19. Print 2019 Jul 1.
Bacterial wilt disease is a devastating disease of crops, which leads to huge economic loss worldwide. It is hypothesized that the occurrence of bacterial wilt may be related to changes in soil chemical properties and microbial interactions. In this study, we compared the soil chemical properties and microbial network structures of a healthy soil (HS) and a bacterial wilt-susceptible soil (BWS). The contents of available nitrogen, potassium, and phosphorus and the soil pH in the BWS were significantly lower than those in the HS. BWS showed nutrient deficiency and acidification in comparison with the HS. The structure and composition of the BWS network were quite different from those of the HS network. The BWS network had fewer modules and edges and lower connectivity than the HS network. The HS network contained more interacting species, more key microorganisms, and better high-order organization and thus was more complex and stable than the BWS network. Most nodes and module memberships were unshared by the two networks, while the ones that were shared showed different topological roles. Some generalists in the HS network became specialists in the BWS network, indicating that the topological roles of microbes were changed and key microorganisms were shifted in the BWS. In summary, the composition and structure of the microbial network of the BWS were different from that of the HS. Many microbial network connections were missing in the BWS, which most likely provided conditions leading to higher rates of bacterial wilt disease. Bacterial wilt disease is caused by the pathogen and is a widespread devastating soilborne disease leading to huge economic losses worldwide. The soil microbial community is crucial to the capacity of soils to suppress soilborne diseases through complex interactions. Network analysis can effectively explore these complex interactions. In this study, we used a random matrix theory (RMT)-based network approach to investigate the changes in microbial network and associated microbial interactions in a bacterial wilt-susceptible soil (BWS) in comparison to a healthy soil (HS). We found that the structure and composition of the microbial network in BWSs were quite different from those of the HS. The BWS network had fewer modules, edges, and key microorganisms and lower connectivity than the HS network. In the BWSs, apparently the topological role of microbes was changed and key microorganisms were shifted to specialists.
细菌性萎蔫病是一种严重危害作物的疾病,它在全球范围内造成了巨大的经济损失。据推测,细菌性萎蔫病的发生可能与土壤化学性质和微生物相互作用的变化有关。在这项研究中,我们比较了健康土壤(HS)和细菌性萎蔫病易感土壤(BWS)的土壤化学性质和微生物网络结构。BWS 中的有效氮、钾和磷含量以及土壤 pH 值明显低于 HS。与 HS 相比,BWS 表现出营养缺乏和酸化。BWS 网络的结构和组成与 HS 网络有很大的不同。BWS 网络的模块和边缘较少,连通性较低。HS 网络包含更多相互作用的物种、更多关键微生物,并且具有更好的高阶组织,因此比 BWS 网络更复杂和稳定。两个网络的大多数节点和模块成员都不共享,而共享的节点和模块成员则表现出不同的拓扑角色。HS 网络中的一些多面手在 BWS 网络中变成了专家,这表明微生物的拓扑角色发生了变化,关键微生物在 BWS 中发生了转移。总之,BWS 中微生物网络的组成和结构与 HS 不同。BWS 中缺失了许多微生物网络连接,这很可能为细菌性萎蔫病的高发率提供了条件。细菌性萎蔫病是由病原菌引起的,是一种广泛存在的毁灭性土传病害,在全球范围内造成了巨大的经济损失。土壤微生物群落对于土壤通过复杂相互作用抑制土传病害的能力至关重要。网络分析可以有效地探索这些复杂的相互作用。在这项研究中,我们使用基于随机矩阵理论(RMT)的网络方法来研究与健康土壤(HS)相比,细菌性萎蔫病易感土壤(BWS)中微生物网络和相关微生物相互作用的变化。我们发现,BWS 中微生物网络的结构和组成与 HS 有很大的不同。BWS 网络的模块、边缘和关键微生物较少,连通性也低于 HS 网络。在 BWS 中,微生物的拓扑角色显然发生了变化,关键微生物变成了专家。