Biology subjects

Venayak, N.

Publications and source records attributed to Venayak, N..

3 recordsLinked to original sources

bioRxiv2021

Automation assisted anaerobic phenotyping for metabolic engineering

Microorganisms can be metabolically engineered to produce a wide range of commercially important chemicals. Advancements in computational strategies for strain design and synthetic biological techniques to construct the designed strains have facilitated the generation of large libraries of potential candidates for chemical production. Consequently, there is a need for a high-throughput, laboratory scale techniques to characterize and screen these candidates to select strains for further investigation in large scale fermentation processes. Several small-scale fermentation techniques, in conjunction with laboratory automation have enhanced the throughput of enzyme and strain phenotyping experiments. However, such high throughput experimentation typically entails large operational costs and generate massive amounts of laboratory plastic waste. In this work, we develop an eco-friendly automation workflow that effectively calibrates and decontaminates fixed-tip liquid handling systems to reduce tip waste. We also investigate inexpensive methods to establish anaerobic conditions in microplates for high-throughput anaerobic phenotyping. To validate our phenotyping platform, we perform two case studies - an anaerobic enzyme screen, and a microbial phenotypic screen. We used our automation platform to investigate conditions under which several strains of E. coli exhibit the same phenotypes in 0.5 L bioreactors and in our scaled-down fermentation platform. Further, we propose the use of dimensionality reduction through t-distributed stochastic neighbours embedding in conjunction with our phenotyping platform to serve as an effective scale-down model for bioreactor phenotypes. By integrating an in-house data-analysis pipeline, we were able to accelerate the test phase of the design-build-test-learn cycle of metabolic engineering.

bioengineering↗

bioRxiv2019

Phenotypic design choices for enhanced productivity in microbial chemical production processes

Microbial metabolism can be harnessed to produce a broad range of industrially important chemicals. Often, three key process variables: Titer, Rate and Yield (TRY) are the target of metabolic engineering efforts to improve microbial hosts toward industrial production. Previous research into improving the TRY metrics have examined the efficacy of having distinct growth and production stages to achieve enhanced productivity. However, these studies assumed a switch from a maximum growth to a maximum production phenotype. Hence, phenotypes with intermediate growth and chemical production for the growth and production stages of two-stage processes are yet to be explored. The impact of reduced growth rates on substrate uptake adds to the need for intelligent choice of operating points while designing two-stage processes. In this work, we develop a computational framework that scans the phenotypic space of microbial metabolism to identify ideal growth and production phenotypic targets, to achieve optimal TRY targets. Using this framework, with Escherichia coli as a model organism, we compare two-stage processes that use dynamic pathway regulation, with one-stage processes that use static intervention strategies, for different bioprocess objectives. Our results indicate that two-stage processes with intermediate growth during the production stage always result in optimal TRY values even in cases where substrate uptake is limited due to reduced growth during chemical production. By analyzing the flux distributions for the production enhancing strategies, we identify key reactions and reaction subsystems that require perturbation to achieve a production phenotype for a wide range of metabolites in E. coli. Interestingly, flux perturbations that increase phosphoenolpyruvate and NADPH availability are enriched among these production phenotypes. Furthermore, reactions in the pentose phosphate pathway emerge as key control nodes that function together to increase the availability of precursors to most products in E. coli. The inherently modular nature of microbial metabolism results in common reactions and reaction subsystems that need to be regulated to modify microbes from their target of growth to the production of a diverse range of metabolites. Due to the presence of these common patterns in the flux perturbations, we propose the possibility of a universal production strain.Competing Interest StatementThe authors have declared no competing interest.View Full Text

synthetic biology↗

bioRxiv2018

Interspecies malate-pyruvate shuttle drives amino acid exchange in organohalide-respiring microbial communities

Most microorganisms in the biosphere live in communities and develop coordinated metabolisms via trading metabolites. In this study, we sought to deconstruct the metabolic interdependency in organohalide-respiring microbial communities enriched with Dehalobacter restrictus (Dhb), using a complementary approach of computational metabolic modeling and experimental validation. Dhb possesses a complete set of genes for amino acid biosynthesis yet requires amino acid supplementation. We reconciled this discrepancy using Flux Balance Analysis with consideration for cofactor availability, enzyme promiscuity, and shared protein expression patterns of several Dhb strains. Experimentally, 13C incorporation assays, growth assays, and metabolite analysis of strain PER-K23 cultures were performed to validate the model predictions. The model resolved that Dhbs amino acid dependency results from restricted NADPH regeneration and diagnosed that malate supplementation can replenish intracellular NADPH using malic enzyme. Interestingly, we observed unexpected export of glutamate and pyruvate in parallel to malate consumption in the strain PER-K23 cultures. Further experiments on Dhb-enriched consortium ACT-3 suggested an interspecies malate-pyruvate shuttle between Dhb and a glutamate-auxotrophic Bacteroides sp., reminiscent of the mitochondrial malate shunt pathway in eukaryotic cells. Altogether, this study reveals that redox constraints and metabolic complementarity are important driving forces for amino acid exchange in anaerobic microbial communities.

microbiology↗