Duan Guozhen, Fan Guanghui, Li Jianling, Liu Min, Qi Youchao
Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, China.
Qinghai Plateau Key Laboratory of Tree Genetics and Breeding, Xining 810016, China.
Microorganisms. 2024 Nov 28;12(12):2447. doi: 10.3390/microorganisms12122447.
is a plant of considerable economic importance in China. However, root rot poses a significant threat to its yield and quality, leading to substantial economic losses. The disparities in rhizosphere soil fungal communities between healthy and root-rot-affected have not been thoroughly explored. Delving into the dynamics between these fungal communities and the onset of root rot may provide pivotal insights for the biological control of this disease in , as well as aid in identifying fungi associated with the condition. In this study, we utilized rhizosphere soil samples from Ningqi No. 1, a distinguished cultivar of , as our experimental material. We assessed the composition and diversity of fungal communities in both diseased (D) and healthy (H) samples using Illumina MiSeq sequencing technology. The study's findings revealed that the mean concentrations of total nitrogen (TN) and soil organic matter (SOM) were significantly higher in the healthy specimens when contrasted with the diseased ones, while the pH levels were notably increased in the latter group. Additionally, the alpha-diversity of fungal communities was observed to be greater within the healthy samples as opposed to the diseased samples. Marked distinctions in fungal diversity were discerned between the healthy (H) and diseased (D) samples. Ascomycota was identified as the predominant fungal phylum in both groups. In the healthy samples, beneficial fungi such as and were prevalent, in contrast to the diseased samples, the relative abundances of and demonstrated remarkable increases of 89.59% and 87.41%, respectively. Non-metric Multidimensional Scaling (NMDS) illustrated clear distinctions in the composition of fungal communities between the healthy and diseased samples. Redundancy Analysis (RDA) indicated total nitrogen (TN), organic matter (SOM), total phosphorus (TP), Available Potassium (AK), pH, and Total Potassium (TK). Notably, pH showed a stronger correlation with the diseased samples, while TN and SOM were more significantly associated with the healthy samples.
在中国是一种具有相当经济重要性的植物。然而，根腐病对其产量和品质构成重大威胁，导致巨大的经济损失。健康植株与受根腐病影响植株的根际土壤真菌群落差异尚未得到充分研究。深入探究这些真菌群落与根腐病发病之间的动态关系，可能为该病在[具体植物名称]上的生物防治提供关键见解，也有助于识别与该病相关的真菌。在本研究中，我们使用了[具体植物名称]的优良品种宁杞1号的根际土壤样本作为实验材料。我们采用Illumina MiSeq测序技术评估了患病（D）和健康（H）样本中真菌群落的组成和多样性。研究结果表明，与患病样本相比，健康样本中总氮（TN）和土壤有机质（SOM）的平均浓度显著更高，而患病样本的pH值明显升高。此外，观察到健康样本中真菌群落的α多样性高于患病样本。在健康（H）和患病（D）样本之间发现了明显的真菌多样性差异。子囊菌门被确定为两组中的主要真菌门。在健康样本中，[有益真菌名称1]和[有益真菌名称2]等有益真菌普遍存在，相比之下，在患病样本中，[有害真菌名称1]和[有害真菌名称2]的相对丰度分别显著增加了89.59%和87.41%。非度量多维尺度分析（NMDS）表明健康样本和患病样本的真菌群落组成存在明显差异。冗余分析（RDA）表明总氮（TN）、有机质（SOM）、总磷（TP）、有效钾（AK）、pH和总钾（TK）。值得注意的是，pH与患病样本的相关性更强，而TN和SOM与健康样本的相关性更显著。
