Zhu Ruifen, Liu Chang, Xu Yuan Dong, He Wei, Liu Jielin, Chen Jishan, An Yajun, Shi Shangli
Pratacultural College, Gansu Agricultural University, Lanzhou, China.
Pratacultural Institute, Chongqing Academy of Animal Sciences, Rongchang, China.
Front Microbiol. 2022 Sep 8;13:968551. doi: 10.3389/fmicb.2022.968551. eCollection 2022.
Fertilization is the main strategy to accelerate vegetation restoration and improve the rhizosphere microbial community in the northeast China. However, the responses of rhizosphere microbial community structure, specific microbial community and symbiotic pattern to manure fertilization in grassland (alfalfa only) are not well clear. In this study, the variation of bacterial community structures in R_Manure (extracted liquid of fermented cow manure), E_Manure (extracted residue of fermented cow manure), F_Manure (full fermented cow manure), and Control (without fermented cow manure) collected from the rhizosphere microbial community of alfalfa were analyzed by the application of an Illumina HiSeq high-throughput sequencing technique. A total of 62,862 microbial operational taxonomic units (OTUs) were detected and derived from 21 phyla of known bacteria. The dominant bacteria in the rhizosphere include Proteobacteria (70.20%), Acidobacteria (1.24%), Actinobacteria (2.11%), Bacteroidetes (6.15%), Firmicutes (4.21%), and Chlorofexi (2.13%) accounting for 86% of the dominant phyla in all treatments. At the genus level, the dominant genus include with the average relative abundance (RA) of 1.76%, 1.52%, 1.30%, 1.24%, 1.61%, 2.39%, 1.36%, 1.42%, 1.27%, and 1.03%, respectively. Bacterial diversities and community structures were significantly differentiated by different treatments of fertilization. The results of community structure composition showed that R_Manure treatment significantly increased the population abundance of Firmicutes, Chlorofexi, and Patescibacteria by 34.32%, 6.85%, and 2.70%, and decreased the population abundance of Proteobacteria and Actinobacteria by 16.83% and 1.04%, respectively. In addition, it showed that all treatments significantly resulted in an increase or decrease at the genus level. R_Manure had the higher richness and diversity of the bacterial community, with the greatest topology attributes of the co-occurrence networks. Through the analysis of the molecular ecological network (MENA), the co-occurrence networks had a shorter average path distance and diameter in R_Manure than in others, implying more stability to environmental changes. Redundancy analysis (RDA) showed that the ratio of carbon and nitrogen (C/N) was the main factor affecting rhizosphere microbial community composition while driving distinct rhizosphere bacterial community and its co-occurrence networks. The R_Manure associated with more C/N had relatively complex microbial co-occurrence network with a large number of nodes and edges, while the microbial network of others associated with less C/N had fewer taxa with loose mutual interactions. These results suggested that organic fertilizer with high C/N can regulate the rhizosphere microorganism, while high C/N can determine bacterial community structures, specific bacterial taxa, and their relationships with the nodule size of alfalfa. These significant changes can be used to evaluate soil fertility and fertilizer management in the artificial grassland system, while the potential biological indicators of the rhizosphere microbial community will play an important role in future eco-agriculture.
施肥是加速中国东北地区植被恢复和改善根际微生物群落的主要策略。然而,草地(仅紫花苜蓿)中根际微生物群落结构、特定微生物群落及共生模式对粪肥施肥的响应尚不清楚。在本研究中,运用Illumina HiSeq高通量测序技术分析了从紫花苜蓿根际微生物群落采集的R_Manure(发酵牛粪提取液)、E_Manure(发酵牛粪提取残渣)、F_Manure(完全发酵牛粪)和Control(未发酵牛粪)中细菌群落结构的变化。共检测到62,862个微生物操作分类单元(OTU),它们来自已知细菌的21个门。根际中的优势细菌包括变形菌门(70.20%)、酸杆菌门(1.24%)、放线菌门(2.11%)、拟杆菌门(6.15%)、厚壁菌门(4.21%)和绿弯菌门(2.13%),占所有处理中优势门的86%。在属水平上,优势属包括 ,其平均相对丰度(RA)分别为1.76%、1.52%、1.30%、1.24%、1.61%、2.39%、1.36%、1.42%、1.27%和1.03%。不同施肥处理显著区分了细菌多样性和群落结构。群落结构组成结果表明,R_Manure处理使厚壁菌门、绿弯菌门和Patescibacteria的种群丰度分别显著增加34.32%、6.85%和2.70%,使变形菌门和放线菌门的种群丰度分别降低16.83%和1.04%。此外,结果表明所有处理在属水平上均显著导致增加或减少。R_Manure具有更高的细菌群落丰富度和多样性,共现网络的拓扑属性最大。通过分子生态网络(MENA)分析,R_Manure中共现网络的平均路径距离和直径比其他处理短,这意味着对环境变化更具稳定性。冗余分析(RDA)表明,碳氮比(C/N)是影响根际微生物群落组成的主要因素,同时驱动着不同的根际细菌群落及其共现网络。与更多C/N相关的R_Manure具有相对复杂的微生物共现网络,节点和边数量较多,而与较少C/N相关的其他处理的微生物网络分类单元较少,相互作用松散。这些结果表明,高C/N的有机肥可以调节根际微生物,而高C/N可以决定细菌群落结构、特定细菌类群及其与紫花苜蓿根瘤大小的关系。这些显著变化可用于评估人工草地系统中的土壤肥力和肥料管理,而根际微生物群落的潜在生物指标将在未来生态农业中发挥重要作用。