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Modelling the metabolism of protein secretion through the Tat route in Streptomyces lividans.

ABSTRACT: BACKGROUND:Streptomyces lividans has demonstrated its value as an efficient host for protein production due to its ability to secrete functional proteins directly to the media. Secretory proteins that use the major Sec route need to be properly folded outside the cell, whereas secretory proteins using the Tat route appear outside the cell correctly folded. This feature makes the Tat system very attractive for the production of natural or engineered Tat secretory proteins. S. lividans cells are known to respond differently to overproduction and secretion of Tat versus Sec proteins. Increased understanding of the impact of protein secretion through the Tat route can be obtained by a deeper analysis of the metabolic impact associated with protein production, and its dependence on protein origin, composition, secretion mechanisms, growth phases and nutrients. Flux Balance Analysis of Genome-Scale Metabolic Network models provides a theoretical framework to investigate cell metabolism under different constraints. RESULTS:We have built new models for various S. lividans strains to better understand the mechanisms associated with overproduction of proteins secreted through the Tat route. We compare models of an S. lividans Tat-dependent agarase overproducing strain with those of the S. lividans wild-type, an S. lividans strain carrying the multi-copy plasmid vector and an ?-amylase Sec-dependent overproducing strain. Using updated genomic, transcriptomic and experimental data we could extend existing S. lividans models and produce a new model which produces improved results largely extending the coverage of S. lividans strains, the number of genes and reactions being considered, the predictive behaviour and the dependence on specification of exchange constraints. Comparison of the optimized solutions obtained highlights numerous changes between Tat- and Sec-dependent protein secreting strains affecting the metabolism of carbon, amino acids, nucleotides, lipids and cofactors, and variability analysis predicts a large potential for protein overproduction. CONCLUSIONS:This work provides a detailed look to metabolic changes associated to Tat-dependent protein secretion reproducing experimental observations and identifying changes that are specific to each secretory route, presenting a novel, improved, more accurate and strain-independent model of S. lividans, thus opening the way for enhanced metabolic engineering of protein overproduction in S. lividans.

SUBMITTER: Valverde JR

PROVIDER: S-EPMC6000921 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Modelling the metabolism of protein secretion through the Tat route in Streptomyces lividans.

Valverde José R JR Gullón Sonia S Mellado Rafael P RP

BMC microbiology 20180614 1

<h4>Background</h4>Streptomyces lividans has demonstrated its value as an efficient host for protein production due to its ability to secrete functional proteins directly to the media. Secretory proteins that use the major Sec route need to be properly folded outside the cell, whereas secretory proteins using the Tat route appear outside the cell correctly folded. This feature makes the Tat system very attractive for the production of natural or engineered Tat secretory proteins. S. lividans cel ...[more]

PMID: 29898665

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Project description:BACKGROUND:Streptomyces lividans is an appealing host for the production of proteins of biotechnological interest due to its relaxed exogenous DNA restriction system and its ability to secrete proteins directly to the medium through the major Sec or the minor Tat routes. Often, protein secretion displays non-uniform time-dependent patterns. Understanding the associated metabolic changes is a crucial step to engineer protein production. Dynamic Flux Balance Analysis (DFBA) allows the study of the interactions between a modelled organism and its environment over time. Existing methods allow the specification of initial model and environment conditions, but do not allow introducing arbitrary modifications in the course of the simulation. Living organisms, however, display unexpected adaptive metabolic behaviours in response to unpredictable changes in their environment. Engineering the secretion of products of biotechnological interest has systematically proven especially difficult to model using DFBA. Accurate time-dependent modelling of complex and/or arbitrary, adaptive metabolic processes demands an extended approach to DFBA. RESULTS:In this work, we introduce Adaptive DFBA, a novel, versatile simulation approach that permits inclusion of changes in the organism or the environment at any time in the simulation, either arbitrary or interactively responsive to environmental changes. This approach extends traditional DFBA to allow steering arbitrarily complex simulations of metabolic dynamics. When applied to Sec- or Tat-dependent secretion of overproduced proteins in S. lividans, Adaptive DFBA can overcome the limitations of traditional DFBA to reproduce experimental data on plasmid-free, plasmid bearing and secretory protein overproducing S. lividans TK24, and can yield useful insights on the behaviour of systems with limited experimental knowledge such as agarase or amylase overproduction in S. lividans TK21. CONCLUSIONS:Adaptive DFBA has allowed us to overcome DFBA limitations and to generate more accurate models of the metabolism during the overproduction of secretory proteins in S. lividans, improving our understanding of the underlying processes. Adaptive DFBA is versatile enough to permit dynamical metabolic simulations of arbitrarily complex biotechnological processes.

Project description:S. lividans TK24 is a popular host for the production of small molecules and for the secretion of heterologous proteins. TK24 has a large genome with at least 29 secondary metabolite gene clusters that are non-essential for viability and undergo complex regulation. To optimize heterologous protein secretion, we previously constructed ten chassis strains that are devoid of several secondary metabolite gene clusters. Genome reduction was aimed at reducing carbon flow to secondary metabolites and pigmentation in the spent growth medium and improving colony morphology. Strains RG1.0-RG1.10 contain various deletion combinations of the blue actinorhodin cluster (act), the calcium-dependent antibiotic (cda), the undecylprodigiosin (red) and coelimycin A (cpk) clusters, the melanin cluster (mel), the matAB genes that affect mycelial aggregation and the non-essential sigma factor hrdD that controls the transcription of Act and Red regulatory proteins. Two derivative strains, RG1.5 and 1.9, showed a ~15% reduction in growth rate, >2-fold increase in the total mass yield of their native secretome and altered abundance of several specific proteins compared with TK24. Metabolomics and RNAseq analysis revealed that genome reduction led to rapid cessation of growth due to aminoacid depletion and caused both redox and cell envelope stresses, upregulation of the Sec-pathway components secDF and chaperones and a cell envelope two component regulator. RG1.9 maintained elevated heterologous secretion of mRFP and mTNFα by 12-70%. An integrated model is presented linking genome reduction and enhanced secretion. Importance: S. lividans TK24 encode 29 secondary metabolite gene clusters controlled with highly complex systems. This study established an important step toward understanding how secondary metabolite clusters can be manipulated to construct a surrogate TK24 platform with optimized metabolite funnelling. Using integrative multi-omics tools with protein secretion we provide an in-depth view of this fascinating complex process and its mechanistic regulation.

Project description:BackgroundThe Gram-positive Streptomyces lividans TK24 is an attractive host for heterologous protein production because of its high capability to secrete proteins-which favors correct folding and facilitates downstream processing-as well as its acceptance of methylated DNA and its low endogeneous protease activity. However, current inconsistencies in protein yields urge for a deeper understanding of the burden of heterologous protein production on the cell. In the current study, transcriptomics and [Formula: see text]-based fluxomics were exploited to uncover gene expression and metabolic flux changes associated with heterologous protein production. The Rhodothermus marinus thermostable cellulase A (CelA)-previously shown to be successfully overexpressed in S. lividans-was taken as an example protein.ResultsRNA-seq and [Formula: see text]-based metabolic flux analysis were performed on a CelA-producing and an empty-plasmid strain under the same conditions. Differential gene expression, followed by cluster analysis based on co-expression and co-localization, identified transcriptomic responses related to secretion-induced stress and DNA damage. Furthermore, the OsdR regulon (previously associated with hypoxia, oxidative stress, intercellular signaling, and morphological development) was consistently upregulated in the CelA-producing strain and exhibited co-expression with isoenzymes from the pentose phosphate pathway linked to secondary metabolism. Increased expression of these isoenzymes matches to increased fluxes in the pentose phosphate pathway. Additionally, flux maps of the central carbon metabolism show increased flux through the tricarboxylic acid cycle in the CelA-producing strain. Redirection of fluxes in the CelA-producing strain leads to higher production of NADPH, which can only partly be attributed to increased secretion.ConclusionsTranscriptomic and fluxomic changes uncover potential new leads for targeted strain improvement strategies which may ease the secretion stress and metabolic burden associated with heterologous protein synthesis and secretion, and may help create a more consistently performing S. lividans strain. Yet, links to secondary metabolism and redox balancing should be further investigated to fully understand the S. lividans metabolome under heterologous protein production.

Dataset Information

Modelling the metabolism of protein secretion through the Tat route in Streptomyces lividans.

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Modelling the metabolism of protein secretion through the Tat route in Streptomyces lividans.

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