Deng Yong, Kong Wuyuan, Zhang Xiaoming, Zhu Yi, Xie Tian, Chen Ming, Zhu Li, Sun Jingzhao, Zhang Zhihua, Chen Chaoyong, Zhu Chongwen, Yin Huaqun, Huang Songqing, Gu Yabing
Changde Tobacco Company of Hunan Province, Changde, China.
School of Minerals Processing and Bioengineering, Central South University, Changsha, China.
Front Microbiol. 2024 Feb 29;15:1333076. doi: 10.3389/fmicb.2024.1333076. eCollection 2024.
Plant health states may influence the distribution of rhizosphere microorganisms, which regulate plant growth and development. In this study, the response of rhizosphere bacteria and fungi of healthy and diseased plants compared to bulk microbes was analyzed using high-throughput sequencing. Plant adaptation strategies of plants under potato virus Y (PVY) infection have been studied from a microbial perspective. The diversity and community structure of bacteria and fungi varied between bulk and rhizosphere soils, but not between healthy and diseased rhizosphere soils. A LEfSe analysis revealed the significant differences between different treatments on bacterial and fungal community compositions and identified , and as the bacterial biomarkers of bulk (BCK), healthy rhizosphere (BHS), and diseased rhizosphere (BIS) soils, respectively; and were identified as the fungal biomarkers of bulk (FCK) and healthy rhizosphere (FHS) soils. Bacterial networks were found to be more complex and compact than fungal networks and revealed the roles of biomarkers as network keystone taxa. PVY infection further increased the connectedness among microbial taxa to improve rhizosphere microbial community stability and resistance to environmental stress. Additionally, water content (WC) played an apparent influence on bacterial community structure and diversity, and pH showed significant effects on fungal community diversity. WC and pH greatly affected the biomarkers of bacterial rhizosphere communities, whereas the biomarkers of bulk bacterial communities were significantly affected by soil nutrients, especially for . Overall, the rhizosphere microbial community enrichment processes were different between healthy and diseased plants by changing the community compositions and identifying different biomarkers. These findings provide insight into the assemblage of rhizosphere microbial communities and soil physicochemical properties, which contributes to a deeper understanding of the establishment of an artificial core root microbiota to facilitate plant growth and bolstering resistance mechanisms. This knowledge contributes to a deeper understanding of the establishment of an artificial core root microbiota, thereby facilitating plant growth and bolstering resistance mechanisms.
植物健康状态可能会影响根际微生物的分布,而根际微生物会调节植物的生长发育。在本研究中,通过高通量测序分析了健康植物和患病植物的根际细菌和真菌相对于土壤微生物的响应情况。从微生物角度研究了马铃薯Y病毒(PVY)感染下植物的适应策略。细菌和真菌的多样性及群落结构在土壤和根际土壤之间存在差异,但在健康和患病根际土壤之间无差异。线性判别分析效应大小(LEfSe)分析揭示了不同处理在细菌和真菌群落组成上的显著差异,并分别鉴定出 、 和 作为土壤(BCK)、健康根际(BHS)和患病根际(BIS)土壤的细菌生物标志物; 和 被鉴定为土壤(FCK)和健康根际(FHS)土壤的真菌生物标志物。发现细菌网络比真菌网络更复杂、更紧凑,并揭示了生物标志物作为网络关键类群的作用。PVY感染进一步增加了微生物类群之间的连通性,以提高根际微生物群落的稳定性和对环境胁迫的抗性。此外,含水量(WC)对细菌群落结构和多样性有明显影响,pH值对真菌群落多样性有显著影响。WC和pH值对根际细菌群落的生物标志物有很大影响,而土壤细菌群落的生物标志物受土壤养分的显著影响,尤其是对于 。总体而言,通过改变群落组成和鉴定不同的生物标志物,健康植物和患病植物的根际微生物群落富集过程有所不同。这些发现为根际微生物群落的组装和土壤理化性质提供了见解,有助于更深入地理解人工核心根际微生物群的建立,以促进植物生长并增强抗性机制。这些知识有助于更深入地理解人工核心根际微生物群的建立,从而促进植物生长并增强抗性机制。