K. V. Venkatesh

Simultaneous saccharification and fermentation of starch to lactic acid

Abstract Batch experiments were conducted to establish optimum operating conditions for the simultaneous saccharification and fermentation (SSF) of starch to lactic acid acid using Lactobacillus delbrueckii . A predictive model was developed for SSF by combining the kinetics of saccharification and fermentation. Saccharification kinetics were determined through experiments on starch hydrolysis in which the effects of temperature, pH and different fermentation products as inhibitors were studied. Fermentation kinetics was studied using glucose as substrate and effect of initial lactate on growth of Lactobacillus delbrueckii was also examined. The saccharification kinetics were fitted using a Michaelis–Menten type equation, while the growth kinetics of L. delbrueckii was represented by a Monod expression incorporating lactic acid inhibition. The kinetic model was used to predict the performance SSF accurately. The saccharification rate was always higher SSF than in simple saccharification (SS) at all substrate concentrations. Lactate productivity was 1.21 g/l h for SSF conducted under optimum conditions with 250 g/l potato starch, higher than that of lactic acid productivity by fermentation after saccharification. Potato tuber and pearl tapioca are good raw materials for the production of lactic acid using SSF with yields up to 70%.

Non-coding RNA interact to regulate neuronal development and function

The human brain is one of the most complex biological systems, and the cognitive abilities have greatly expanded compared to invertebrates without much expansion in the number of protein coding genes. This suggests that gene regulation plays a very important role in the development and function of nervous system, by acting at multiple levels such as transcription and translation. In this article we discuss the regulatory roles of three classes of non-protein coding RNAs (ncRNAs)—microRNAs (miRNAs), piwi-interacting RNA (piRNAs) and long-non-coding RNA (lncRNA), in the process of neurogenesis and nervous function including control of synaptic plasticity and potential roles in neurodegenerative diseases. miRNAs are involved in diverse processes including neurogenesis where they channelize the cellular physiology toward neuronal differentiation. miRNAs can also indirectly influence neurogenesis by regulating the proliferation and self renewal of neural stem cells and are dysregulated in several neurodegenerative diseases. miRNAs are also known to regulate synaptic plasticity and are usually found to be co-expressed with their targets. The dynamics of gene regulation is thus dependent on the local architecture of the gene regulatory network (GRN) around the miRNA and its targets. piRNAs had been classically known to regulate transposons in the germ cells. However, piRNAs have been, recently, found to be expressed in the brain and possibly function by imparting epigenetic changes by DNA methylation. piRNAs are known to be maternally inherited and we assume that they may play a role in early development. We also explore the possible function of piRNAs in regulating the expansion of transposons in the brain. Brain is known to express several lncRNA but functional roles in brain development are attributed to a few lncRNA while functions of most of the them remain unknown. We review the roles of some known lncRNA and explore the other possible functions of lncRNAs including their interaction with miRNAs.

Integration of Global Signaling Pathways, cAMP-PKA, MAPK and TOR in the Regulation of FLO11

The budding yeast, Saccharomyces cerevisiae, responds to various environmental cues by invoking specific adaptive mechanisms for their survival. Under nitrogen limitation, S. cerevisiae undergoes a dimorphic filamentous transition called pseudohyphae, which helps the cell to forage for nutrients and reach an environment conducive for growth. This transition is governed by a complex network of signaling pathways, namely cAMP-PKA, MAPK and TOR, which controls the transcriptional activation of FLO11, a flocculin gene that encodes a cell wall protein. However, little is known about how these pathways co-ordinate to govern the conversion of nutritional availability into gene expression. Here, we have analyzed an integrative network comprised of cAMP-PKA, MAPK and TOR pathways with respect to the availability of nitrogen source using experimental and steady state modeling approach. Our experiments demonstrate that the steady state expression of FLO11 was bistable over a range of inducing ammonium sulphate concentration based on the preculturing condition. We also show that yeast switched from FLO11 expression to accumulation of trehalose, a STRE response controlled by a transcriptional activator Msn2/4, with decrease in the inducing concentration to complete starvation. Steady state analysis of the integrative network revealed the relationship between the environment, signaling cascades and the expression of FLO11. We demonstrate that the double negative feedback loop in TOR pathway can elicit a bistable response, to differentiate between vegetative growth, filamentous growth and STRE response. Negative feedback on TOR pathway function to restrict the expression of FLO11 under nitrogen starved condition and also with re-addition of nitrogen to starved cells. In general, we show that these global signaling pathways respond with specific sensitivity to regulate the expression of FLO11 under nitrogen limitation. The holistic steady state modeling approach of the integrative network revealed how the global signaling pathways could differentiate between multiple phenotypes.

Simultaneous saccharification and fermentation of cellulose to lactic acid

Batch experiments were carried out for conversion of cellulose to lactic acid by simultaneous saccharification and fermentation (SSF) at different pH values. Saccharification was carried out with a cellulase enzyme preparation from T. reesei and fermentation was by L. bulgaricus. A kinetic model was developed to simulate SSF by incorporating cellulase enzyme kinetics with growth kinetics of L. bulgaricus. The enzyme kinetics were fitted by a Michaelis-Menten type equation, while the growth kinetics of L. bulgaricus were represented by a cybernetic-type model incorporating lactate and undissociated lactic acid inhibition term. The saccharification of cellulose was rate-limiting above pH 5, while lactic acid fermentation was rate limiting below pH 5. The glucose concentration in the fermentation broth was lower than that in simple saccharification (SS) at all pH values. Lactic acid productivity (0.45 g/l/h) was maximum at pH 5 and was higher than that of lactic acid productivity by SS followed by fermentation. The kinetic model was able to predict the performance of SSF quite well.

Sporulating bacteria prefers predation to cannibalism in mixed cultures

Predatory behavior, a property associated with ecosystems, is not commonly observed in microorganisms. However, cannibalistic tendencies have been observed in microorganisms under stress. For example, pure culture of Bacillus subtilis exhibits cannibalism under nutrient limitation. It has been proposed that a fraction of cells in the population produce Spo0A, a regulatory protein that is responsible for delaying sporulation. Cells containing spo0A would produce a killing factor by activating skf operon and an associated pump to export the factor. Cells that do not contain spo0A in the population are lysed. However in addition to the competition among the cells of B. subtilis, these cells also compete with other organisms for the limited nutrients. In this work, we report the cannibalistic behavior of B. subtilis in presence of Escherichia coli under severe nutritional limitation. We demonstrate that B. subtilis lyses cells of E. coli using an antibacterial factor under the regulation of Spo0A. Our experiments also suggest that B. subtilis prefers predation of E. coli to cannibalism in mixed cultures. B. subtilis also demonstrated predation in mixed cultures with other soil microorganisms, such as, Xanthomonas campestris, Pseudomonas aeruginosa and Acinetobactor lwoffi. This may offer B. subtilis a niche to survive in an environment with limited nutrients and under competition from other microorganisms.

Multiple feedback loops are key to a robust dynamic performance of tryptophan regulation in Escherichia coli

Living systems must adapt quickly and stably to uncertain environments. A common theme in cellular regulation is the presence of multiple feedback loops in the network. An example of such a feedback structure is regulation of tryptophan concentration in Escherichia coli. Here, three distinct feedback mechanisms, namely genetic regulation, mRNA attenuation and enzyme inhibition, regulate tryptophan synthesis. A pertinent question is whether such multiple feedback loops are “a case of regulatory overkill, or do these different feedback regulators have distinct functions?” [Freeman (2000) Nature 295, 313–319]. Another moot question is how robustness to uncertainties can be achieved structurally through biological interactions. Correlation between the feedback structure and robustness can be systematically studied by tools commonly employed in feedback theory. An analysis of feedback strategies in the tryptophan system in E. coli reveals that the network complexity arising due to the distributed feedback structure is responsible for the rapid and stable response observed even in the presence of system uncertainties.

Metabolic fate of glutamate and evaluation of flux through the 4-aminobutyrate (GABA) shunt in Aspergillus niger

Accumulation of GABA and a concurrent block in the Krebs cycle suggest a functional GABA bypass in the acidogenic Aspergillus niger. Apart from the demonstration of enzyme machinery required, a direct measurement of flux through this glutamate decarboxylation loop was attempted. The distribution of carbon from glucose and glutamate was studied using A. niger mycelia grown on different media. The uptake and incorporation of (14)C label into organic acids and amino acids was followed by paper chromatography. Flow of label from glucose into citrate, glutamate and GABA increased in cells harvested at later stages of acidogenic growth. Very little citrate was derived from glutamate while ten times more label reached GABA from labeled glutamate. Radioactivity from L-[U-(14)C]glutamate and not from L-[1-(14)C]glutamate was recovered in GABA. This demonstrated that alpha-decarboxylation of L-glutamate was the source of GABA. Unless grown on GABA, A. niger mycelia did not take up externally supplied GABA. A direct measure of GABA shunt flux was thus not feasible. Therefore a combination of metabolite balance technique and the kinetic approach was applied to evaluate flux from glutamate to succinate in normal and acidogenic A. niger. The flux relative to TCA cycle was estimated by using uptake rate for radiolabeled glutamate, rate of accumulation of certain metabolites and the reactions of GABA metabolism. The analysis indicated that GABA shunt is operative in A. niger and its operation is enhanced during acidogenic growth of the fungus. This is the first report of an estimation of the flux through GABA shunt in a fungus.

Structured model for batch culture growth of Lactobacillus bulgaricus

Batch fermentation kinetics of Lactobacillus bulgaricus were examined in detail using the methodology of cybernetic modelling. The effect of pH and lactate ion on the activity of the enzyme β-galactosidase was simulated. Cybernetic modelling is mainly used for simulation of growth on multiple substrates. Here, it has been incorporated in a model which simulates pH effects on single-substrate batch growth. The expression of active enzyme is crucial for substrate and growth. It was seen that the effect of lactate ion on the activity of the enzyme was dependant on the system pH. A semi-empirical expression was obtained for the relative amount of active enzyme present in the organism and used to model the enzyme, biomass, substrate and lactic acid concentrations for the batch fermentation. The rate of biomass formation and product formation depended on the amount of enzyme synthesised, which in turn was dependant on the pH value of the system. The model developed simulates the effect of pH and lactate concentration on the expression and degradation of the enzyme.

An optimal strategy to model microbial growth in a multiple substrate environment

A comprehensive model is developed based on an optimal strategy describing varied microbial growth phenomenon involving sequential and simultaneous utilization of substrate. The model mimics the complex regulatory process of a cell which results in diverse growth process with the help of simple multi-variable constrained optimization, which aims at maximizing the specific cell growth. The metabolic processes of a cell are represented by simple flux balance equations. The different growth phenomenon exhibited by a microorganism are attributed to different levels of control present inside the cell. Provision is made in the model for these controls, in the form of constraints in the optimization formulation. The model prediction matches well with the experimental data of simultaneous growth of E. coli K12 on a mixture of glucose and organic acids like lactate, pyruvate, and acetate. Moreover, the model predictions are well in agreement with earlier published experimental data for the growth of E. coli K12 on other organic acids like fumarate, alpha-ketoglutarate, and succinate. (c) 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 56: 635-644, 1997.

Effect of substrate and IPTG concentrations on the burden to growth of Escherichia coli on glycerol due to the expression of Lac proteins.

Expression of proteins unneeded for growth diverts cellular resources from making necessary protein and leads to a reduction in the growth rate of an organism. This reduction in growth rate is termed as cost. Cost plays an important role in determining the selected expression of a protein in a particular environment. Characterization of cost is important in biotechnology industries where microorganisms are used to produce foreign proteins. We have used the lactose system in Escherichia coli to quantify the cost of growth on glycerol in the presence of isopropyl-β-d-thiogalactopyranoside (IPTG), an inducer of the lactose system. The effect of the concentration of the carbon source, glycerol, and the inducer of Lac enzymes, IPTG, is studied. The results show that the cost is dependent on the glycerol concentration with a decreasing trend with increasing concentration of glycerol. Also as expected, the cost increases and saturates at a higher concentration of IPTG. The studies also demonstrate that the cost is higher in early exponential phase relative to late exponential phase during the growth as has been reported in the literature. Hill equation fit yielded a typical Monod-type expression for growth on glycerol with and without IPTG. An apparent half-saturation constant was defined which was used to characterize the burden on growth due to protein expression.