文献速递|东北农业大学JHM:多功能微生物联合体如何在低温条件下提高阿特拉津去除率和磷吸收率的代谢见解

第一作者：Siyue Han

通讯作者：张颖 教授

通讯单位：东北农业大学资源与环境学院

DOI:10.1016/j.jhazmat.2023.132539

关于应用基于微生物群落的生物刺激来应对有机污染、养分吸收和环境选择等多重压力的研究还很缺乏。因此，在本研究中，我们旨在通过确定序列信息来阐明经莠去津处理的土壤在低温条件下的群落动态。我们还进行了物种分析，以确定对低温条件反应的差异，并建立了耐低温核心细菌物种资源库。随后，我们构建了一个人工微生物联合体，由耐低温细菌（C1）、阿特拉津降解细菌（Acinetobacter lwoffii DNS32）和磷酸盐溶解细菌（Enterobacter sp.） 我们采用了协同培养和代谢组学技术来研究低温条件下群落动态的功能影响以及可能的种间刺激策略。最后，我们研究了多功能微生物群在低温和阿特拉津污染胁迫下对大豆幼苗生长性能的影响模式和分子机制。这项研究为在低温条件下减少农药污染、改善农业土壤质量提供了一种经济有效的解决方案。

Fig. 1. Microbial species diversity (a–c: representing observed species, chao1, and shannon, respectively) and non-metric multidimensional scaling (NMDS) analysis (d) in different treated soils, and relative bacterial community abundance on the phylum level (e) and genus level (f) in top 10. CK, untreated soil cultured for 30 d; R-20/30, soil samples exposed to atrazine and cultured for 20/30 d at 30 °C; C-20/30, soil samples exposed to atrazine and cultured for 20/30 d at 10 °C.

Fig. 2. Growth and atrazine degradation of CPD at different initial inoculation ratios under low temperature conditions (a); changes in strain growth (b) and degradation (c) in different treatments; growth of strains C1, P1, and DNS32 in a semipermeable membrane bag system (d); changes in the yield of the intermediate metabolite cyanuric acid (e); phosphorus solubilization ability of different strains and combinations (f). Error bars represent the standard error of three replicates. Statistical differences were considered to be significant at *P < 0.05, **P < 0.01, or ***P < 0.001. The ns represented no significance.

Fig. 3. The differential abundance scores are based on the KEGG database (a: CPD vs C1/DNS32, b: CPD vs P1/DNS32). The score values of 1 and - 1 represent the increase and decrease of metabolites in the measured metabolic pathways, respectively. The length of the line indicates the absolute score value and the dot size at the endpoint of the line stands for the differential metabolites number in the pathway; statistical analysis of metabolites extracted from different treatments (c: energy metabolism, d: cross-feeding). Heatmap showing the relative abundances of metabolites.

Fig. 4. Prediction of potential metabolite exchange in CPD (a); strain growth (right) and atrazine degradation (left) after supplementation of corresponding exchanged metabolites in the culture medium measured in vitro assay, from top to bottom for strain DNS32 (b-c), P1 (d-e), and C1 (f-g) and absolute abundance of atrazine degradation genes in different treatments (h). Error bars represent the standard error of three replicates. Statistical differences were considered to be significant at *P < 0.05 or **P < 0.01.

Fig. 5. Overall morphological appearance (a) and root scanning images (b) of soybean seedlings under different treatments during low-temperature cultivation.

Fig. 6. The effects of different treatments on the content of chlorophyll (a), carotenoids (b), soluble sugars (c), soluble proteins (d), total P in above and underground parts (e), relative electrolyte leakage (f), and relative gene expression (g) in soybean seedling. The standard errors of the three replicate samples were described using error bars. Statistical differences were considered to be significant at *P < 0.05, **P < 0.01, or ***P < 0.001. The ns represented no significance.