Sugiyama Akifumi, Unno Yusuke, Ono Ui, Yoshikawa Emon, Suzuki Hideyuki, Minamisawa Kiwamu, Yazaki Kazufumi
Research Institute for Sustainable Humanosphere, Kyoto University, Gokasho, Uji, Japan.
Hitsujigaoka Research Station, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization, Toyohira-ku, Sapporo, Hokkaido, Japan.
Commun Integr Biol. 2017 Oct 20;10(5-6):e1378290. doi: 10.1080/19420889.2017.1378290. eCollection 2017.
Since the domestication of soybean () about 4,500 years ago, thousands of local cultivars have been developed around the world. In Japan, black soybeans grown in the mountainous region of central Kyoto and Hyogo prefectures, called the Tamba region, are well known for large seeds and palatability. The yields of black soybean in the Tamba region of Kyoto have decreased during the past few decades, and the involvement of rhizosphere microbes in the yield decline has been suggested. We analyzed bacterial communities of the soybean rhizosphere on 7 farms managed under different strategies. Non-metric multidimensional scaling showed shifts of bacterial communities from bulk to rhizosphere soil and the difference among the farms. The relative abundance of the Proteobacteria and Firmicutes was higher in rhizosphere soil than in bulk soil, whereas that of the Acidobacteria was higher in bulk soil. To clarify the possible relationship between bacterial communities and soybean growth, we used ConfeitoGUIplus software (version 1.2.0), based on the Confeito algorithm, which is designed to detect highly interconnected modules in a correlation network by using a unique inter-modular index with network density. One module was extracted from the rhizosphere soil community and two from bulk soil communities, suggesting the involvement of these bacteria in soybean growth.
自约4500年前大豆被驯化以来,世界各地已培育出数千个地方品种。在日本,京都中部和兵库县山区种植的黑豆,即所谓的丹波地区的黑豆,以种子大且口感好而闻名。在过去几十年里,京都丹波地区的黑豆产量有所下降,有人认为根际微生物与产量下降有关。我们分析了7个采用不同管理策略的农场中大豆根际的细菌群落。非度量多维标度分析表明细菌群落从大块土壤向根际土壤转移,且各农场之间存在差异。根际土壤中变形菌门和厚壁菌门的相对丰度高于大块土壤,而酸杆菌门在大块土壤中的相对丰度更高。为了阐明细菌群落与大豆生长之间可能存在的关系,我们使用了基于Confeito算法的ConfeitoGUIplus软件(版本1.2.0),该算法旨在通过使用具有网络密度的独特模块间指数来检测相关网络中高度互连的模块。从根际土壤群落中提取了一个模块,从大块土壤群落中提取了两个模块,这表明这些细菌参与了大豆的生长。