研究燕麦不同发育阶段的组织微生物区系对于了解其生长和抗病机制是必要的。在这项研究中,采用16SrDNA和ITS(内部转录间隔)高通量测序技术探索燕麦组织的微生物区系多样性。27个树叶样本,茎,和三个发育阶段的根源,即苗期(SS),拔节期(JS),和成熟阶段(MS),进行测序分析。分析表明,在检查的样本中确定了6480个操作分类单位(OTU),其中1698是真菌,4782是细菌。此外,126个OTUs被真菌共享,主要是子囊,担子菌,和门水平的粘菌,39个OTU由细菌共享,主要是门水平的放线菌和变形菌。燕麦组织的微生物多样性在三个发育阶段表现出差异,根中细菌的α-多样性和细菌和真菌的β-多样性高于茎和叶。在细菌种类中,硫假单胞菌,栗科RC9肠组,短杆菌在叶片中占主导地位,MND1在根中占主导地位,在茎中以乳酸菌为主。此外,短杆菌在所有生长阶段均保持稳定。在真菌物种中,根孢霉在叶子中占主导地位,Kondoa在根部占主导地位,而Pyrenophora在茎中占主导地位。所有高丰度的物种都与燕麦和拮抗细菌的生长过程有关。此外,细菌中的连接模块比真菌种群中的连接模块更密集。用超氧化物歧化酶和过氧化物酶处理样品。有42株与超氧化物歧化酶(SOD)相关,60株与POD(过氧化物酶)相关的菌株,总共38株,比真菌高得多。网络分析显示,细菌可能比真菌有更密集的连接模块,细菌与酶的连接数量远高于真菌。此外,这些结果为进一步的机理研究提供了依据。
Investigating oat tissue microflora during its different developmental stages is necessary for understanding its growth and anti-disease mechanism. In this study, 16S rDNA and ITS (Internally Transcribed Spacer) high-throughput sequencing technology were used to explore the microflora diversity of oat tissue. Twenty-seven samples of leaves, stems, and roots from three developmental stages, namely the seedling stage (SS), jointing stage (JS), and maturity stage (MS), underwent sequencing analysis. The analysis showed that 6480 operational taxonomic units (OTUs) were identified in the examined samples, of which 1698 were fungal and 4782 were bacterial. Furthermore, 126 OTUs were shared by fungi, mainly Ascomycota, Basidiomycota, and Mucoromycota at the phylum level, and 39 OTUs were shared by bacteria, mainly Actinobacteriota and Proteobacteria at the phylum level. The microbial diversity of oat tissue in the three developmental stages showed differences, and the α-diversity of the bacteria and β-diversity of the bacteria and fungi in the roots were higher than those of the stems and leaves. Among the bacteria species, Thiiopseudomonas, Rikenellaceae RC9 gut group, and Brevibacterium were predominant in the leaves, MND1 was predominant in the roots, and Lactobacillus was predominant in the stems. Moreover, Brevibacterium maintained a stable state at all growth stages. In the fungal species, Phomatospora was dominant in the leaves, Kondoa was dominant in the roots, and Pyrenophora was dominant in the stems. All species with a high abundance were related to the growth process of oats and antagonistic bacteria. Furthermore, connection modules were denser in bacterial than in fungal populations. The samples were treated with superoxide dismutase and peroxidase. There were 42 strains associated with SOD (Superoxide dismutase), 60 strains associated with POD (Peroxidase), and 38 strains in total, which much higher than fungi. The network analysis showed that bacteria might have more dense connection modules than fungi, The number of bacterial connections to enzymes were much higher than that of fungi. Furthermore, these results provide a basis for further mechanistic research.