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Bacillus amyloliquefaciens inoculation alters physiology of rice (Oryza sativa L. var. IR-36) through modulating carbohydrate metabolism to mitigate stress induced by nutrient starvation

Bisht, Nikita, Mishra, Shashank Kumar, Chauhan, Puneet Singh
International journal of biological macromolecules 2020 v.143 pp. 937-951
Bacillus amyloliquefaciens, Oryza sativa, Paenibacillus lentimorbus, agronomic traits, carbohydrate metabolism, fructose, gas chromatography-mass spectrometry, gene expression, genes, glucose, glutamine, inositols, linolenic acid, malic acid, malondialdehyde, mannose, metabolites, nutrient content, nutrients, oleic acid, plant growth-promoting rhizobacteria, proline, propionic acid, raffinose, rhizosphere bacteria, rice, seedlings, serine, soil fertility, sorbitol, starvation, stress tolerance, water content
To avoid disproportionate usage of chemicals in agriculture, an alternative eco-friendly strategy is required to improve soil fertility, and enhance crop productivity. Therefore, the present study demonstrates the role of plant beneficial rhizobacteria viz., Paenibacillus lentimorbus B-30488 (B-30488), Bacillus amyloliquefaciens SN13 (SN13), and their consortium in rice (Oryza sativa L. var. IR-36) facing nutrient deprivation. Parameters such as proline, total soluble sugar, relative water content, electrolytic leakage and malondialdehyde content were modulated in control rice seedlings as compared to treated under nutrient starved conditions. Bacterial inoculation not only significantly improved the agronomic parameters but also concentrations, uptake and partitioning of macro-micro nutrients. To disclose PGPR induced mechanisms to low nutrient stress tolerance, GC-MS analysis was performed. Overall 43 differential metabolites were characterized. Proline, glutamine, linolenic acid, malic acid, ribitol, propanoic acid and serine were accumulated in seedlings exposed to nutrient starvation. In PGPR inoculated rice glucose, fructose, mannose, glucitol, oleic acid, gulonic acid, raffinose, inositol were accumulated that induce metabolic and physiological parameters to reduce the impact of stress. Based on results SN13 was selected for gene expression analysis of metabolism-related genes that further affirmed the ability of PGPR to modulate carbohydrate metabolism in rice seedlings under suboptimum nutrient level.