Optimization of culture conditions by response surface methodology and unstructured kinetic modeling for bioactive metabolite production by Nocardiopsis litoralis VSM-8

Managamuri, Ushakiranmayi; Vijayalakshmi, M.; Poda, Sudhakar; Ganduri, V. S. Rama Krishna; Babu, Roshina

doi:10.1007/s13205-016-0535-2

Cited by 29 publications

(21 citation statements)

References 22 publications

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“…Hence, optimized production for a given metabolite involves the modification of the microbial growth conditions which can be achieved through different methods. Among the most adopted strategies, the response surface methodology has advantages because it allows the standardization of several components at same time and quantifies the impact of each component, as single or interactive effect with the other components, over the productivity of the target response (Maddox and Richert, 1977 ; Managamuri et al, 2016 ). The development of culture media for the mass production of A. brasilense has been previously addressed, but few reports have presented the physiological conditions of the bacteria after the growth period.…”

Section: Discussionmentioning

confidence: 99%

Maize Inoculation with Azospirillum brasilense Ab-V5 Cells Enriched with Exopolysaccharides and Polyhydroxybutyrate Results in High Productivity under Low N Fertilizer Input

et al. 2017

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Although Azospirillum strains used in commercial inoculant formulations presents diazotrophic activity, it has been reported that their ability to produce phytohormones plays a pivotal role in plant growth-promotion, leading to a general recommendation of its use in association with regular N-fertilizer doses. In addition, a high variability in the effectiveness of Azospirillum inoculants is still reported under field conditions, contributing to the adoption of the inoculation technology as an additional management practice rather than its use as an alternative practice to the use of chemical inputs in agriculture. To investigate whether the content of stress-resistance biopolymers would improve the viability and performance of Azospirillum inoculants when used as substitute of N-fertilizers, biomass of A. brasilense strain Ab-V5 enriched in exopolysaccharides (EPS) and polyhydroxybutirate (PHB) was produced using a new culture medium developed by factorial mixture design, and the effectiveness of resulting inoculants was evaluated under field conditions. The culture medium formulation extended the log phase of A. brasilense cultures, which presented higher cell counts and increased EPS and PHB contents than observed in the cultures grown in the OAB medium used as control. An inoculation trial with maize conducted under greenhouse conditions and using the biopolymers-enriched Ab-V5 cells demonstrated the importance of EPS and PHB to the long term bacterial viability in soil and to the effectiveness of inoculation. The effectiveness of liquid and peat inoculants prepared with Ab-V5 cells enriched with EPS and PHB was also evaluated under field conditions, using maize as target crop along different seasons, with the inoculants applied directly over seeds or at topdressing under limiting levels of N-fertilization. No additive effect on yield resulted from inoculation under high N fertilizer input, while inoculated plants grown under 80% reduction in N fertilizer showed yields at levels compared to fully fertilized plants, regardless the inoculation method. The presented data highlights the feasibility to partially substitute the N-fertilizer demand in non-legume crops using high-quality inoculant formulations, prepared with diazotrophic bacteria enriched with stress-resistance biopolymers that confer increased viability an effectiveness to the bacterial cells.

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Section: Discussionmentioning

confidence: 99%

Maize Inoculation with Azospirillum brasilense Ab-V5 Cells Enriched with Exopolysaccharides and Polyhydroxybutyrate Results in High Productivity under Low N Fertilizer Input

et al. 2017

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“…Since the rate of specific bioactive metabolite production and cell growth can be calculated from kinetic expressions. As per the experimental data obtained from batch shake-flask for bioactive metabolite production, our previously developed models (L, Logistic Incorporated LP (LILP) and Logistic incorporated modified LP (LIMLP) were used to determine the process parameters (Ushakiranmayi et al, 2016).…”

Section: Unstructured Model Developmentmentioning

confidence: 99%

“…In unstructured models that provide a precise description of whole fermentation, only complete cell levels are considered. Parameter estimation is a critical step for model verification, and consequently, these mathematical models are effectively implemented to study the manufacturing of a multitude of bioproducts (Rama Krishna et al, 2016;Ushakiranmayi et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Improvement of antimicrobial metabolites by Saccharothrix flava VSM-3 using full factorial design and chemotype analysis

Managamuri¹,

Vijayalakshmi²,

Ganduri³

et al. 2020

J app pharm sci

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Bioactive metabolite production by marine Saccharothrix flava VSM-3was modeled by response surface methodology (RSM) statistical optimization, and kinetic parameter estimation was executed using unstructured models to depict the importance of growth-associated metabolite production. RSM-based optimization of the variables and their interactions was analyzed where the modeled data and experimental data are in concurrence and better responses were yielded in terms of inhibition zones for active metabolite with good regression coefficients. The regression model developed the significance of five variables and their influence on the bioactive metabolite production and its effect against the responses. Logistic, Luedeking-Piret equations were used for batch fermentation to produce bioactive metabolites by S. flava VSM-3, where the anticipated parameter data followed experimental data. Chemotype (using ethyl acetate extract) analysis of actinobacterial isolate S. flava was elucidated for the first time by liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) analysis. The main compounds identified in the positive ion mode were 7-Deazaadenosine, 5-Hydroxy-9-Methylstreptimidone, Amiclenomycin, Dihydroabikoviromycin, Epopromycin A, OAP Silane 55 and MKN-003B. In the present study, maritime silt specimen of Bay of Bengal comprising S. flava VSM-3 recorded prominent broad-spectrum activity against various plant pathogens and LC-QTOF-MS data also supported VSM-3 was the most active strain. This study also reveals that under-explored Bay of Bengal of north coastal Andhra Pradesh should be continuously explored for extracting bioactive compounds from diverse strains.

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“…[19][20][21] Models of Logistic (L) and Modified Luedeking-Piret (MLP) and Logistic Incorporated Modified Leudeking-Piret (LIMLP) were used to duplicate the cell proliferation, Substrate utilization and antimicrobial metabolite productions of the strain, as per Mangamuri et al 2016, 2017. 22,23 The data obtained from the models were used to calculate all the kinetic parameters involved in fermentation.…”

Section: Kinetic Model Developmentmentioning

confidence: 99%

Assessment of Optimized Process Parameters for Superior Bioactive Metabolite Production by Nonomuraea longicatena VSM-16 Using Response Surface Methodology

Managamuri¹,

Vijayalakshmi²,

Ganduri³

et al. 2019

JYP

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Objectives: The present work was carried out to check the capability of novel actinobacterium, Nonomuraea longicatena (VSM-16) for bioactive metabolite production and optimization of its process parameters by statistical and mathematical modeling. Methods: Response Surface Methodology (RSM) regression evaluation was done to fit the experimental data of each response with the aid of second order polynomial. Unstructured kinetic models had been developed for growth, substrate utilization and bioactive metabolite production (in terms of responses). Model based kinetic parameters were estimated and the profiles of bioactive metabolite production, substrate utilization and growth had been drawn. Results: The results have shown accurate interaction among process variables at optimized values of incubation time at 8-9 days, pH at 8-9, temperature at 30-31°C, concentrations of Mannitol at 2-2.2% and Biopeptone at 1.5-1.7% and the data have been effectively fitted into second-order polynomial models. Under these conditions, the responses (zones of inhibition) of various organisms Staphylococcus aureus, Streptococcus mutans, Xanthomonas campestris, Pseudomonas aeruginosa and Candida albicans have been also matched with experimental and predicted consequences. Conclusion: The zones of inhibition (responses) for the organisms had been also determined to be best fitted with experiment and model values.

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Optimization of culture conditions by response surface methodology and unstructured kinetic modeling for bioactive metabolite production by Nocardiopsis litoralis VSM-8

Cited by 29 publications

References 22 publications

Maize Inoculation with Azospirillum brasilense Ab-V5 Cells Enriched with Exopolysaccharides and Polyhydroxybutyrate Results in High Productivity under Low N Fertilizer Input

Maize Inoculation with Azospirillum brasilense Ab-V5 Cells Enriched with Exopolysaccharides and Polyhydroxybutyrate Results in High Productivity under Low N Fertilizer Input

Improvement of antimicrobial metabolites by Saccharothrix flava VSM-3 using full factorial design and chemotype analysis

Assessment of Optimized Process Parameters for Superior Bioactive Metabolite Production by Nonomuraea longicatena VSM-16 Using Response Surface Methodology

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