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Model-guided development of an evolutionarily stable yeast chassis.

ABSTRACT: First-principle metabolic modelling holds potential for designing microbial chassis that are resilient against phenotype reversal due to adaptive mutations. Yet, the theory of model-based chassis design has rarely been put to rigorous experimental test. Here, we report the development of Saccharomyces cerevisiae chassis strains for dicarboxylic acid production using genome-scale metabolic modelling. The chassis strains, albeit geared for higher flux towards succinate, fumarate and malate, do not appreciably secrete these metabolites. As predicted by the model, introducing product-specific TCA cycle disruptions resulted in the secretion of the corresponding acid. Adaptive laboratory evolution further improved production of succinate and fumarate, demonstrating the evolutionary robustness of the engineered cells. In the case of malate, multi-omics analysis revealed a flux bypass at peroxisomal malate dehydrogenase that was missing in the yeast metabolic model. In all three cases, flux balance analysis integrating transcriptomics, proteomics and metabolomics data confirmed the flux re-routing predicted by the model. Taken together, our modelling and experimental results have implications for the computer-aided design of microbial cell factories.

SUBMITTER: Pereira F

PROVIDER: S-EPMC8297383 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Model-guided development of evolutionarily stable yeast chassis for dicarboxylic acids production

Project description:<p>Chassis strain suitable for producing multiple compounds is a central concept in synthetic biology. Design of a chassis using computational, first-principle, models is particularly attractive due to the predictability and control it offers, including against phenotype reversal due to adaptive mutations. Yet, the theory of model-based chassis design has rarely been put to rigorous experimental test and assessed at multiomics level. Here, we report two <em>Saccharomyces cerevisiae</em> chassis strains for dicarboxylic acid production based on genome-scale metabolic modelling. The chassis strain, harbouring gene knockouts in serine biosynthesis and in pentose-phosphate pathway, is geared for higher flux towards three target products - succinate, fumarate and malate - but does not appreciably secrete any. Introducing modular product-specific mutations resulted in improved secretion of the corresponding acid as predicted by the model. Adaptive laboratory evolution of the chassis-derived producer cells further improved production for succinate and fumarate attesting to the evolutionary robustness of the underlying growth-product coupling. In the case of malate, which exhibited decreased production during evolution, the multiomics analysis revealed flux bypass at peroxisomal malate dehydrogenase that was not accounted in the model. Integration of transcriptomics, proteomics and metabolomics data showed overall concordance with the flux re-routing predicted by the model. Together, our results provide experimental evidence for model-based design of microbial chassis and have implications for computer-aided design of microbial cell factories.</p>

2021-07-19 | MTBLS2007 | MetaboLights

Evolutionarily stable strategies in stable and periodically fluctuating populations: The Rosenzweig-MacArthur predator-prey model.

Project description:An evolutionarily stable strategy (ESS) is an evolutionary strategy that, if adapted by a population, cannot be invaded by any deviating (mutant) strategy. The concept of ESS has been extensively studied and widely applied in ecology and evolutionary biology [M. Smith, On Evolution (1972)] but typically on the assumption that the system is ecologically stable. With reference to a Rosenzweig-MacArthur predator-prey model [M. Rosenzweig, R. MacArthur, Am. Nat. 97, 209-223 (1963)], we derive the mathematical conditions for the existence of an ESS when the ecological dynamics have asymptotically stable limit points as well as limit cycles. By extending the framework of Reed and Stenseth [J. Reed, N. C. Stenseth, J. Theoret. Biol. 108, 491-508 (1984)], we find that ESSs occur at values of the evolutionary strategies that are local optima of certain functions of the model parameters. These functions are identified and shown to have a similar form for both stable and fluctuating populations. We illustrate these results with a concrete example.

| S-EPMC7848735 | biostudies-literature

Yeast metabolic chassis designs for diverse biotechnological products.

Project description:The diversity of industrially important molecules for which microbial production routes have been experimentally demonstrated is rapidly increasing. The development of economically viable producer cells is, however, lagging behind, as it requires substantial engineering of the host metabolism. A chassis strain suitable for production of a range of molecules is therefore highly sought after but remains elusive. Here, we propose a genome-scale metabolic modeling approach to design chassis strains of Saccharomyces cerevisiae - a widely used microbial cell factory. For a group of 29 products covering a broad range of biochemistry and applications, we identified modular metabolic engineering strategies for re-routing carbon flux towards the desired product. We find distinct product families with shared targets forming the basis for the corresponding chassis cells. The design strategies include overexpression targets that group products by similarity in precursor and cofactor requirements, as well as gene deletion strategies for growth-product coupling that lead to non-intuitive product groups. Our results reveal the extent and the nature of flux re-routing necessary for producing a diverse range of products in a widely used cell factory and provide blueprints for constructing pre-optimized chassis strains.

| S-EPMC4949481 | biostudies-literature

RNA-seq analysis of model-guided engineered Saccharomyces cerevisiae chassis for improved dicarboxylic acids (malic, succinic and fumaric acid) production.

Project description:Model-guided chassis strain design has the potential to accelerate cellfactory development. In this experiment genetic targets were identified in silico and implemented in vivo to design a yeast chassis strain for enhanced production of succinic, malic and fumaric acid. The phenotype of engineered chassis strains was further optimised through adaptive laboratory evolution. RNA-seq analysis of engineered yeast chassis strains, evolved strains and wild-type (CEN.PK background)was performed to determine the effect of engineered gene deletions and evolution on the transcriptome.

2021-07-01 | E-MTAB-9499 | biostudies-arrayexpress

chassis

Project description:Model-guided development of evolutionarily stable yeast chassis for dicarboxylic acids production

| PRJEB41109 | ENA

Multicellularity makes somatic differentiation evolutionarily stable.

Project description:Many multicellular organisms produce two cell lineages: germ cells, whose descendants produce the next generation, and somatic cells, which support, protect, and disperse the germ cells. This germ-soma demarcation has evolved independently in dozens of multicellular taxa but is absent in unicellular species. A common explanation holds that in these organisms, inefficient intercellular nutrient exchange compels the fitness cost of producing nonreproductive somatic cells to outweigh any potential benefits. We propose instead that the absence of unicellular, soma-producing populations reflects their susceptibility to invasion by nondifferentiating mutants that ultimately eradicate the soma-producing lineage. We argue that multicellularity can prevent the victory of such mutants by giving germ cells preferential access to the benefits conferred by somatic cells. The absence of natural unicellular, soma-producing species previously prevented these hypotheses from being directly tested in vivo: to overcome this obstacle, we engineered strains of the budding yeast Saccharomyces cerevisiae that differ only in the presence or absence of multicellularity and somatic differentiation, permitting direct comparisons between organisms with different lifestyles. Our strains implement the essential features of irreversible conversion from germ line to soma, reproductive division of labor, and clonal multicellularity while maintaining sufficient generality to permit broad extension of our conclusions. Our somatic cells can provide fitness benefits that exceed the reproductive costs of their production, even in unicellular strains. We find that nondifferentiating mutants overtake unicellular populations but are outcompeted by multicellular, soma-producing strains, suggesting that multicellularity confers evolutionary stability to somatic differentiation.

| S-EPMC4968738 | biostudies-literature

Rhodosporidium toruloides - A potential red yeast chassis for lipids and beyond.

Project description:The red yeast Rhodosporidium toruloides naturally produces microbial lipids and carotenoids. In the past decade or so, many studies demonstrated R. toruloides as a promising platform for lipid production owing to its diverse substrate appetites, robust stress resistance and other favorable features. Also, significant progresses have been made in genome sequencing, multi-omic analysis and genome-scale modeling, thus illuminating the molecular basis behind its physiology, metabolism and response to environmental stresses. At the same time, genetic parts and tools are continuously being developed to manipulate this distinctive organism. Engineered R. toruloides strains are emerging for enhanced production of conventional lipids, functional lipids as well as other interesting metabolites. This review updates those progresses and highlights future directions for advanced biotechnological applications.

| S-EPMC7334043 | biostudies-literature

Evolutionarily conserved sequence motif analysis guided development of chemically defined hydrogels for therapeutic angiogenesis

Project description:Biologically ligands (e.g., RGDS from fibronectin: Fn-RGD) play a critical role in the development of chemically defined biomaterials. However, there has been limited progress in recent decades towards discovering novel extracellular-matrix-protein-derived ligands for translational applications. Here, by combining motif analysis of evolutionarily conserved RGD-containing regions in laminin (Ln) with functional microarray screening, we identified a Ln-derived angiogenic peptide (LDAP) that showed enhanced proangiogenic activities over commonly used Fn-RGD. Mechanistic studies using RNA-sequencing of LDAP functionalized hydrogels showed an improved angiogenic transcriptome over Fn-RGD functionalized hydrogels and high similarity to Matrigel, attributed to the ability of LDAP to engage both Ln- and Fn-binding integrins. Injectable hydrogels functionalized with LDAP, along with MMP-QK (a VEGF-mimetic peptide), exhibited increased functional recovery over decellularized extracellular matrix (dECM) and alginates functionalized with Fn-RGD and MMP-QK in a mouse ischemic hindlimb model, illustrating the power of the strategy to rapidly develop potent chemically-defined biomaterials for therapeutic applications.

2020-09-21 | GSE126717 | GEO

A Conserved Structural Chassis for Mounting Versatile CRISPR RNA-Guided Immune Responses.

Project description:Bacteria and archaea rely on CRISPR (clustered regularly interspaced short palindromic repeats) RNA-guided adaptive immune systems for targeted elimination of foreign nucleic acids. These immune systems have been divided into three main types, and the first atomic-resolution structure of a type III RNA-guided immune complex provides new insights into the mechanisms of nucleic acid degradation. Here we compare the crystal structure of a type III complex to recently determined structures of DNA-targeting type I CRISPR complexes. Structural comparisons support previous assertions that type I and type III systems share a common ancestor and reveal how a conserved structural chassis is used to support RNA-, DNA-, or both RNA- and DNA-targeting mechanisms.

| S-EPMC4465340 | biostudies-literature

The evolutionarily stable distribution of fitness effects.

Project description:The distribution of fitness effects (DFE) of new mutations is a key parameter in determining the course of evolution. This fact has motivated extensive efforts to measure the DFE or to predict it from first principles. However, just as the DFE determines the course of evolution, the evolutionary process itself constrains the DFE. Here, we analyze a simple model of genome evolution in a constant environment in which natural selection drives the population toward a dynamic steady state where beneficial and deleterious substitutions balance. The distribution of fitness effects at this steady state is stable under further evolution and provides a natural null expectation for the DFE in a population that has evolved in a constant environment for a long time. We calculate how the shape of the evolutionarily stable DFE depends on the underlying population genetic parameters. We show that, in the absence of epistasis, the ratio of beneficial to deleterious mutations of a given fitness effect obeys a simple relationship independent of population genetic details. Finally, we analyze how the stable DFE changes in the presence of a simple form of diminishing-returns epistasis.

| S-EPMC4423373 | biostudies-literature

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