Analysis of Bacterial Community Structure and Diversity in Rhizosphere Soil of Several Different Crops Based on High-throughput Sequencing
SUN Qian1, WU Hong-Liang1,*, CHEN Fu2, KANG Jian-Hong1
1 School of Agriculture, Ningxia University, Yinchuan 750021, China;
2 Key Laboratory of Farming System, Ministry of Agriculture and Rural Affairs/College of Agriculture, China Agricultural University, Beijing 100193, China
Abstract：Diversified crops are needed to optimize crop single production, which can increase biodiversity at yellow river pumping irrigation area in the central arid zone of Ningxia. In order to investigate the influence of different crops on the bacterial community structure and diversity of farmland soil, this study took millet (Setaria italica), black beans (Glycine max), quinoa (Chenopodium quinoa) and recreational soil as the objects, and measured the soil pH, total nitrogen, organic matter, available potassium, available phosphorus and alkali nitrogen content. Furthermore, the bacterial community structures were compared using Illumina MiSeq high-throughput sequencing technology. The results showed that the contents of soil organic matter, alkali nitrogen, available potassium and available phosphorus increased after planting quinoa, which were 2.88%, 19.12%, 112.04% and 39.90% higher than those in fallow land, respectively, but the pH value decreased, only 0.01 unit. A total of 908 120 effective sequences were obtained from the 5 groups of soil samples, and 4 623 to 5 394 bacterial OTU were obtained from different soil samples, covering 31 phyla, 92 classes, 130 orders, 217 families, 363 genera of bacteria. The flora classification found that Protrobacteria, Chloroflexi and Actinobacteria were the main bacterial groups with relative abundance accounting for 55%~75% of the community. The dominant genus in rhizosphere soil of different crops were also different. Compared with fallow land, planting crops could improve soil bacterial richness index, Shannon index and dominance index, among which quinoa treatment was the most obvious, increasing by 19.59%, 22.20%, 7.84%, 0.36%, respectively. Through multivariate analysis and correlation analysis, it was found that soil bacterial community structure was greatly affected by soil available potassium. The results showed that planting different crops had great influence on the change of soil fertility, and could change the composition of soil bacterial communities, providing theoretical support for a deeper understanding of the relationship between soil bacterial communities and crop species.
孙倩, 吴宏亮, 陈阜, 康建宏. 基于高通量测序的几种不同作物根际土壤细菌群落结构和多样性分析[J]. 农业生物技术学报, 2020, 28(8): 1490-1498.
SUN Qian, WU Hong-Liang, CHEN Fu, KANG Jian-Hong. Analysis of Bacterial Community Structure and Diversity in Rhizosphere Soil of Several Different Crops Based on High-throughput Sequencing. 农业生物技术学报, 2020, 28(8): 1490-1498.
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