Tie Zhanjiang, Wang Peng, Chen Weijian, Tang Binghui, Yu Yu, Liu Zheng, Zhao Sifeng, Khan Faisal Hayat, Zhang XueKun, Xi Hui
College of Agriculture, Shihezi University, Shihezi, Xinjiang, China.
Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, Xinjiang, China.
Front Microbiol. 2023 Aug 11;14:1229454. doi: 10.3389/fmicb.2023.1229454. eCollection 2023.
Verticillium wilt is a disastrous disease caused by that severely damages the production of cotton in China. Even under homogeneous conditions, the same cotton cultivar facing tends to either stay healthy or become seriously ill and die. This binary outcome may be related to the interactions between microbiome assembly and plant health. Understanding how the rhizosphere microbiome responds to infection is vital to controlling Verticillium wilt through the manipulation of the microbiome. In this study, we evaluated the healthy and diseased rhizosphere microbiome of two upland cotton cultivars that are resistant to , Zhong 2 (resistant) and Xin 36 (susceptible), using 16S rRNA and ITS high-throughput sequencing. The results showed that the healthy rhizosphere of both resistant cultivar and susceptible cultivar had more unique bacterial ASVs than the diseased rhizosphere, whereas fewer unique fungal ASVs were found in the healthy rhizosphere of resistant cultivar. There were no significant differences in alpha diversity and beta diversity between the resistant cultivar and susceptible cultivar. In both resistant cultivar and susceptible cultivar, bacterial genera such as and , and fungal genera such as and were both highly enriched in the diseased rhizosphere, and abundance in diseased rhizospheres was significantly higher than that in the healthy rhizosphere regardless of the cultivar type. However, cultivar and infection can cause composition changes in the rhizosphere bacterial and fungal communities, especially in the relative abundances of core microbiome members, which varied significantly, with different responses in the two cotton cultivars. Analysis of co-occurrence networks showed that resistant cultivar has a more complex network relationship than susceptible cultivar in the bacterial communities, and has a significant impact on the bacterial community structure. These findings will further broaden the understanding of plant-rhizosphere microbiome interactions and provide an integrative perspective on the cotton rhizosphere microbiome, which is beneficial to cotton health and production.
黄萎病是由[病原体名称未给出]引起的一种灾难性病害,严重损害了中国的棉花生产。即使在相同条件下,同一棉花品种面对[病原体名称未给出]时,往往要么保持健康,要么病情严重直至死亡。这种二元结果可能与微生物群落组装和植物健康之间的相互作用有关。了解根际微生物群如何响应[病原体名称未给出]感染对于通过操纵微生物群来控制黄萎病至关重要。在本研究中,我们使用16S rRNA和ITS高通量测序技术,评估了两个抗[病原体名称未给出]的陆地棉品种中2号(抗病)和新36号(感病)的健康和患病根际微生物群。结果表明,抗病品种和感病品种的健康根际比患病根际具有更多独特的细菌ASV,而抗病品种的健康根际中发现的独特真菌ASV较少。抗病品种和感病品种之间的α多样性和β多样性没有显著差异。在抗病品种和感病品种中,患病根际中诸如[细菌属名称未给出]和[细菌属名称未给出]等细菌属以及诸如[真菌属名称未给出]和[真菌属名称未给出]等真菌属均高度富集,并且无论品种类型如何,患病根际中的[特定微生物名称未给出]丰度均显著高于健康根际。然而,品种和[病原体名称未给出]感染会导致根际细菌和真菌群落的组成变化,特别是核心微生物群成员的相对丰度,其变化显著,两个棉花品种的反应不同。共现网络分析表明,抗病品种在细菌群落中的网络关系比感病品种更复杂,并且[病原体名称未给出]对细菌群落结构有显著影响。这些发现将进一步拓宽对植物 - 根际微生物群相互作用的理解,并为棉花根际微生物群提供一个综合视角,这有利于棉花健康和生产。