高志颖, 李彦生, 于镇华, 金剑, 王光华, 刘晓冰. 大气CO2浓度升高对大豆根际微生物代谢功能的影响[J]. 中国生态农业学报 (中英文), 2022, 30(9): 1417−1424. DOI: 10.12357/cjea.20220018
引用本文: 高志颖, 李彦生, 于镇华, 金剑, 王光华, 刘晓冰. 大气CO2浓度升高对大豆根际微生物代谢功能的影响[J]. 中国生态农业学报 (中英文), 2022, 30(9): 1417−1424. DOI: 10.12357/cjea.20220018
GAO Z Y, LI Y S, YU Z H, JIN J, WANG G H, LIU X B. Effect of elevated atmospheric CO2 concentration on the metabolic function of microbe in rhizosphere of different soybean cultivars[J]. Chinese Journal of Eco-Agriculture, 2022, 30(9): 1417−1424. DOI: 10.12357/cjea.20220018
Citation: GAO Z Y, LI Y S, YU Z H, JIN J, WANG G H, LIU X B. Effect of elevated atmospheric CO2 concentration on the metabolic function of microbe in rhizosphere of different soybean cultivars[J]. Chinese Journal of Eco-Agriculture, 2022, 30(9): 1417−1424. DOI: 10.12357/cjea.20220018

大气CO2浓度升高对大豆根际微生物代谢功能的影响

Effect of elevated atmospheric CO2 concentration on the metabolic function of microbe in rhizosphere of different soybean cultivars

  • 摘要: 作为全球气候变化主要因子, 大气CO2浓度升高以植物为媒介间接影响土壤微生物代谢功能, 进而影响由土壤微生物参与的土壤养分循环过程和土壤碳库的平衡。本研究以不同年代培育的大豆品种: ‘小黄金’(XH)、‘牡丰5号’(MF)、‘绥农14号’ (SN)和‘东生1号’ (DS)为试验材料, 采用开顶式气室(OTC)模拟21世纪中叶大气CO2浓度(550 mol∙L−1)升高条件(EC), 并以正常大气CO2浓度为对照(CK), 通过BIOLOG方法, 解析了大气CO2浓度升高条件下大豆根际土壤微生物对不同碳源利用的特征。结果表明, 不同大豆品种根际土壤微生物群落碳源代谢特征不同, 单孔平均颜色变化率(AWCD)总体趋势表现为MF>SN>DS>XH。微生物功能多样性指数和主成分分析结果显示, 大气CO2浓度升高对不同大豆品种根际微生物碳源代谢特征的影响不一致, 其中XH、MF和DS的根际微生物功能受大气CO2浓度升高影响不显著, 而SN的根际微生物功能受大气CO2浓度升高影响显著; 主成分贡献率结果表明, SN的EC碳源变化与主成分1中正相关的碳源种类相关性较强, 而CK的碳源变化与主成分1中负相关的碳源种类相关性较强, 其中L-精氨酸和2-羟基苯甲酸为不利于植物生长的碳源类型, 未来大气CO2浓度升高是否会增加有害/有益根系分泌物的释放有待通过田间原位试验进一步佐证。综上, 未来大气CO2浓度升高对大豆根际微生物碳源代谢功能的影响与大豆品种有关, 同时, 大豆品种和大气CO2升高及其交互作用显著影响部分碳源的代谢。

     

    Abstract: Climate change, characterized by increased concentrations of CO2, can substantially stimulate plant photosynthesis and growth, and subsequently change the quantity and quality of below-ground rhizodeposition. From the perspective of soil microbiology, these alterations may indirectly induce changes in soil microbial biomass and function, and further influence the processes of soil organism evolution, such as nutrient transformation and the balance of soil carbon storage. In this study, four soybean cultivars, ‘Xiaohuangjin’ (XH), ‘Mufeng 5’ (MF), ‘Suinong 14’ (SN), and ‘Dongsheng 1’ (DS), which are released in 1951, 1972, 1996 and 2003, respectively, widely planted in Northeast China then, were selected. Soil samples were collected from the rhizosphere of soybeans grown in either ambient CO2 (410 mol∙L−1, CK) or elevated CO2 (550 mol∙L−1, EC) at the beginning of the seed stage. Each CO2 treatment was performed in triplicate. Thus, there were 12 OTCs (open top chamber) in total. The effects of elevated CO2 on microbial metabolic function were studied using the BIOLOG technique. The results showed that different soybean cultivars had different metabolic patterns and the order of average well color development (AWCD) ranked as: MF > SN > DS > XH. Biodiversity indices and PCA analysis revealed that the metabolic patterns of cultivars XH, MF, and DS were resistant to elevated CO2, while elevated CO2 significantly changed the metabolic patterns of SN. The contribution of each carbon source to the PCA indicated strong correlations between the variations of carbon sources in the EC treatment and CK of SN with the positive and negative carbon sources in PC1, respectively. In addition, some specific carbon sources in CK of SN, such as L-arginine and 2-hydroxy benzoic acid, are harmful for soybean growth, and whether elevated CO2 may increase soybean diseases resistance merits further analysis. Meanwhile, there were interaction effects between soybean cultivars and elevated CO2 on specific carbon sources. In summary, this study illustrates that different soybean cultivars have different metabolic functions and respond differently to increased CO2.

     

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