Suppr超能文献

健康与患有根腐病的宁杞5号植株之间土壤微生物群落的差异

Differences in Soil Microbial Communities between Healthy and Diseased cv. Ningqi-5 Plants with Root Rot.

作者信息

Jia Chenbo, An Yingrui, Du Zhongyu, Gao Huihui, Su Jianyu, Xu Chunyan

机构信息

Key Laboratory of Ministry of Education for Protection and Utilization of Special Biological Resources, School of Life Sciences, Ningxia University, Yinchuan 750021, China.

Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou 311400, China.

出版信息

Microorganisms. 2023 Mar 8;11(3):694. doi: 10.3390/microorganisms11030694.

Abstract

For a long time, the development of the industry has been seriously restricted by root rot disease. In general, the occurrence of plant root rot is considered to be closely related to the composition and diversity of the soil microbial community. It is critical to understand the relationship between the occurrence of root rot in and the soil microbial composition. In this study, samples of the rhizosphere, rhizoplane, and root zone were collected from diseased and healthy plants. The V3-V4 region of bacterial 16S rDNA and the fungal ITS1 fragment of the collected samples were sequenced using Illumina MiSeq high-throughput sequencing technology. The sequencing results were first quality controlled and then aligned with the relevant databases for annotation and analysis. The richness of fungal communities in the rhizoplane and root zone of the healthy plants was significantly higher than that of the diseased plants ( < 0.05), and the community evenness and diversity of all the rhizoplane samples were significantly different from those of the rhizosphere and root zone. The richness of the bacterial communities in the rhizosphere and root zone of healthy plants was significantly greater than those of diseased plants ( < 0.05). The community composition of the rhizoplane was quite different from the other parts. The abundance of in the rhizoplane and rhizosphere soil of diseased plants was higher than that in the corresponding parts of healthy plants. The abundances of and in the three parts of the healthy plants were correspondingly higher than those in the three parts of the diseased plants, and was the most abundant in the rhizoplane of diseased plants. There was little difference in the composition of the dominant bacteria at the phylum and genus levels between healthy plants and diseased plants, but the abundances of these dominant bacteria were different between healthy and diseased plants. Functional prediction showed that the bacterial community had the largest proportion of functional abundance belonging to metabolism. The functional abundances of the diseased plants, such as metabolism and genetic information processing, were lower than those of the healthy plants. The fungal community function prediction showed that the Animal Pathogen-Endophyte-Lichen Parasite-Plant Pathogen-Soil Saprotroph-Wood Saprotroph group had the largest functional abundance, and the corresponding fungi were . In this study, we mainly discussed the differences in the soil microbial communities and their functions between the healthy and diseased cv. Ningqi-5, and predicted the functional composition of the microbial community, which is of great significance to understanding the root rot of .

摘要

长期以来,该产业的发展一直受到根腐病的严重制约。一般来说,植物根腐病的发生被认为与土壤微生物群落的组成和多样性密切相关。了解[植物名称]根腐病的发生与土壤微生物组成之间的关系至关重要。在本研究中,从患病和健康植株上采集了根际、根表和根区的样本。使用Illumina MiSeq高通量测序技术对采集样本的细菌16S rDNA的V3 - V4区域和真菌ITS1片段进行测序。测序结果首先进行质量控制,然后与相关数据库进行比对以进行注释和分析。健康植株根表和根区的真菌群落丰富度显著高于患病植株(P < 0.05),并且所有根表样本的群落均匀度和多样性与根际和根区的均有显著差异。健康植株根际和根区的细菌群落丰富度显著大于患病植株(P < 0.05)。根表的群落组成与其他部分有很大不同。患病植株根表和根际土壤中[某种菌名称]的丰度高于健康植株相应部位。健康植株三个部位中[另外两种菌名称]的丰度相应高于患病植株的三个部位,且[某种菌名称]在患病植株根表中最为丰富。健康植株和患病植株在门和属水平上的优势细菌组成差异不大,但这些优势细菌的丰度在健康和患病植株之间有所不同。功能预测表明,细菌群落中属于代谢的功能丰度比例最大。患病植株在代谢和遗传信息处理等方面的功能丰度低于健康植株。真菌群落功能预测表明,动物病原体 - 内生菌 - 地衣寄生菌 - 植物病原体 - 土壤腐生菌 - 木材腐生菌群的功能丰度最大,相应的真菌为[具体真菌名称]。在本研究中,我们主要讨论了宁杞5号健康和患病植株之间土壤微生物群落及其功能的差异,并预测了微生物群落的功能组成,这对于了解宁杞5号的根腐病具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e009/10054753/8fded3a7db6f/microorganisms-11-00694-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验