Hunan Agricultural Biotechnology Research Institute, Hunan Academy of Agricultural Sciences, No.892 Yuanda Road, Furong District, Changsha City, 410125, Hunan Province, People's Republic of China.
Longping Branch of Graduate School, Hunan University, Changsha, People's Republic of China.
Arch Microbiol. 2021 Jul;203(5):1971-1980. doi: 10.1007/s00203-020-02120-6. Epub 2021 Jan 4.
To explore the genetic diversity and distribution of rhizobia in the rhizosphere of soybean grown in red soil, we have collected 21 soil samples from soybean fields across seven counties in Hunan province, China. MiSeq sequencing of rpoB gene was used to determine the intra-species diversity of rhizobia existing in soybean rhizospheres. Soil chemical properties were determined by routine methods. The Principal Coordinates Analysis (PCoA) plot indicated a clear biogeographical pattern characterizing the soybean rhizosphere across different sites. The Mantel test demonstrated that biogeographical pattern was significantly correlated with the geographical distance (Mantel statistic R 0.385, p < 0.001). There were obvious differences in the rhizobial communities among northeastern eco-region, southeastern eco-region and western eco-region. In general, Bradyrhizobium diazoefficiens was the most abundant rhizobial species in the soybean rhizosphere. At an intermediate (10-400 km) spatial scale, the biogeographical pattern of rhizobial communities in soybean rhizosphere is associated with both soil properties and geographical distance. Redundancy analysis (RDA) showed that total potassium (TK), available potassium (AK), soil organic carbon (SOC), and available nitrogen (AN) were the main factors that influenced the α-diversity of rhizobial communities. Canonical correspondence analysis (CCA) showed that pH and exchangeable Ca and Mg had the greatest influence on the β-diversity of the rhizobial communities in the soybean rhizosphere. These findings characterize the distribution pattern and its influencing factors of soybean rhizobia in rhizosphere in Hunan province, which may be helpful in selecting suitable strains or species as inoculants for soybeans in red soil regions.
为了探究红壤中大豆根际土壤中根瘤菌的遗传多样性和分布情况，我们从中国湖南省的七个县的大豆田中采集了 21 个土壤样本。采用 rpoB 基因的 MiSeq 测序来确定大豆根际土壤中存在的根瘤菌的种内多样性。通过常规方法测定土壤化学性质。主坐标分析（PCoA）图表明，不同地点的大豆根际具有明显的生物地理模式。Mantel 检验表明，生物地理模式与地理距离显著相关（Mantel 统计量 R 为 0.385，p<0.001）。东北生态区、东南生态区和西部生态区的根瘤菌群落存在明显差异。总体而言，大豆根际中最丰富的根瘤菌物种是慢生根瘤菌。在中等（10-400km）空间尺度上，大豆根际土壤中根瘤菌群落的生物地理模式与土壤性质和地理距离都有关。冗余分析（RDA）表明，全钾（TK）、有效钾（AK）、土壤有机碳（SOC）和有效氮（AN）是影响根瘤菌群落α多样性的主要因素。典范对应分析（CCA）表明，pH 值以及可交换的 Ca 和 Mg 对大豆根际土壤中根瘤菌群落的β多样性影响最大。这些发现描述了湖南省大豆根际土壤中根瘤菌的分布模式及其影响因素，这可能有助于在红壤地区选择适合的菌株或物种作为大豆接种剂。
