Chaudhary Twinkle, Yadav Dinesh, Chhabra Deepak, Gera Rajesh, Shukla Pratyoosh
Enzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak, 124001 India.
Department of Mechanical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, 131039 Haryana India.
3 Biotech. 2021 Apr;11(4):158. doi: 10.1007/s13205-021-02690-2. Epub 2021 Mar 5.
The plant growth-promoting rhizobacteria (PGPR) can improve the biotic or abiotic stress condition by exploiting the productivity and plant growth of the plants under stressful conditions. This study examines the role of a rhizospheric bacterial isolate TCPS-4 isolated from cluster bean plant () under dryland condition. The low-cost media engineering was evaluated, and the phosphate-solubilizing and IAA-producing abilities of TCPS-4 were improved using a hybrid statistical tool viz Multi-objective Genetic Algorithm (MOGA). Further, the effect of carbon and nitrogen media constituents and their interactions on IAA production and phosphate solubilization were also confirmed by a single-factor experiment assay. This revealed that MOGA-based model depicted 47.5 mg/L inorganic phosphate as the highest phosphate concentration in media containing 45 g/L carbon source, 12 g/L nitrogen source and 0.20 g/L MgSO. The highest IAA production was 18.74 mg/L in media containing 45 g/L carbon source, 12 g/L nitrogen source and 0.2 g/L MgSO. These values were also confirmed and measured by the experiments with phosphate solubilization of 45.71 mg/L and IAA production of 18.71 mg/L with 10 cfu/mL. This concludes that effective media engineering using these statistical tools can enhance the phosphate and IAA production by each model. A good correlation between measured and predicted values of each model confirms the validity of both responses. The present study gives an insight on media engineering for phosphate and IAA production by TCPS-4.
植物促生根际细菌（PGPR）可以通过提高胁迫条件下植物的生产力和促进植物生长来改善生物或非生物胁迫状况。本研究考察了从旱地条件下的瓜尔豆植物（）中分离得到的根际细菌菌株TCPS-4的作用。评估了低成本培养基工程，并使用多目标遗传算法（MOGA）这种混合统计工具提高了TCPS-4的解磷能力和产吲哚-3-乙酸（IAA）能力。此外，单因素实验分析还证实了碳源和氮源培养基成分及其相互作用对IAA产生和解磷作用的影响。结果表明，基于MOGA的模型显示，在含有45 g/L碳源、12 g/L氮源和0.20 g/L硫酸镁的培养基中，无机磷最高浓度为47.5 mg/L。在含有45 g/L碳源、12 g/L氮源和0.2 g/L硫酸镁的培养基中，IAA的最高产量为18.74 mg/L。这些值也通过实验得到了证实和测量，实验中解磷量为45.71 mg/L，IAA产量为18.71 mg/L，菌浓度为10 cfu/mL。由此得出结论，使用这些统计工具进行有效的培养基工程可以提高每个模型的解磷能力和IAA产量。每个模型的测量值和预测值之间的良好相关性证实了两种响应的有效性。本研究为利用TCPS-4进行磷和IAA生产的培养基工程提供了见解。
