| 1. |
- Olsson, Lisbeth, 1963, et al.
(författare)
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Robustness: linking strain design to viable bioprocesses
- 2022
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Ingår i: Trends in Biotechnology. - : Elsevier BV. - 0167-7799 .- 1879-3096. ; 40:8, s. 918-931
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Forskningsöversikt (refereegranskat)abstract
- Microbial cell factories are becoming increasingly popular for the sustainable production of various chemicals. Metabolic engineering has led to the design of advanced cell factories; however, their long-term yield, titer, and productivity falter when scaled up and subjected to industrial conditions. This limitation arises from a lack of robustness – the ability to maintain a constant phenotype despite the perturbations of such processes. This review describes predictable and stochastic industrial perturbations as well as state-of-the-art technologies to counter process variability. Moreover, we distinguish robustness from tolerance and discuss the potential of single-cell studies for improving system robustness. Finally, we highlight ways of achieving consistent and comparable quantification of robustness that can guide the selection of strains for industrial bioprocesses.
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| 2. |
- Rugbjerg, Peter, 1988, et al.
(författare)
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Short and long-read ultra-deep sequencing profiles emerging heterogeneity across five platform Escherichia coli strains
- 2021
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Ingår i: Metabolic Engineering. - : Elsevier BV. - 1096-7176 .- 1096-7184. ; 65, s. 197-206
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Tidskriftsartikel (refereegranskat)abstract
- Reprogramming organisms for large-scale bioproduction counters their evolutionary objectives of fast growth and often leads to mutational collapse of the engineered production pathways during cultivation. Yet, the mutational susceptibility of academic and industrial Escherichia coli bioproduction host strains are poorly understood. In this study, we apply 2nd and 3rd generation deep sequencing to profile simultaneous modes of genetic heterogeneity that decimate engineered biosynthetic production in five popular E. coli hosts BL21(DE3), TOP10, MG1655, W, and W3110 producing 2,3-butanediol and mevalonic acid. Combining short-read and longread sequencing, we detect strain and sequence-specific mutational modes including single nucleotide polymorphism, inversion, and mobile element transposition, as well as complex structural variations that disrupt the integrity of the engineered biosynthetic pathway. Our analysis suggests that organism engineers should avoid chassis strains hosting active insertion sequence (IS) subfamilies such as IS1 and IS10 present in popular E. coli TOP10. We also recommend monitoring for increased mutagenicity in the pathway transcription initiation regions and recombinogenic repeats. Together, short and long sequencing reads identified latent low-frequency mutation events such as a short detrimental inversion within a pathway gene, driven by 8-bp short inverted repeats. This demonstrates the power of combining ultra-deep DNA sequencing technologies to profile genetic heterogeneities of engineered constructs and explore the markedly different mutational landscapes of common E. coli host strains. The observed multitude of evolving variants underlines the usefulness of early mutational profiling for new synthetic pathways designed to sustain in organisms over long cultivation scales.
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| 3. |
- Rugbjerg, Peter, 1988, et al.
(författare)
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The future of self-selecting and stable fermentations
- 2020
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Ingår i: Journal of Industrial Microbiology and Biotechnology. - : Oxford University Press (OUP). - 1367-5435 .- 1476-5535. ; 47:11, s. 993-1004
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Forskningsöversikt (refereegranskat)abstract
- Unfavorable cell heterogeneity is a frequent risk during bioprocess scale-up and characterized by rising frequencies of low-producing cells. Low-producing cells emerge by both non-genetic and genetic variation and will enrich due to their higher specific growth rate during the extended number of cell divisions of large-scale bioproduction. Here, we discuss recent strategies for synthetic stabilization of fermentation populations and argue for their application to make cell factory designs that better suit industrial needs. Genotype-directed strategies leverage DNA-sequencing data to inform strain design. Self-selecting phenotype-directed strategies couple high production with cell proliferation, either by redirected metabolic pathways or synthetic product biosensing to enrich for high-performing cell variants. Evaluating production stability early in new cell factory projects will guide heterogeneity-reducing design choices. As good initial metrics, we propose production half-life from standardized serial-passage stability screens and production load, quantified as production-associated percent-wise growth rate reduction. Incorporating more stable genetic designs will greatly increase scalability of future cell factories through sustaining a high-production phenotype and enabling stable long-term production.
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| 4. |
- Tõlgo, Monika, 1994, et al.
(författare)
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Genomic and transcriptomic analysis of the thermophilic lignocellulose-degrading fungus Thielavia terrestris LPH172
- 2021
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Ingår i: Biotechnology for Biofuels. - : Springer Science and Business Media LLC. - 1754-6834 .- 1754-6834. ; 14:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Biomass-degrading enzymes with improved activity and stability can increase substrate saccharification and make biorefineries economically feasible. Filamentous fungi are a rich source of carbohydrate-active enzymes (CAZymes) for biomass degradation. The newly isolated LPH172 strain of the thermophilic Ascomycete Thielavia terrestris has been shown to possess high xylanase and cellulase activities and tolerate low pH and high temperatures. Here, we aimed to illuminate the lignocellulose-degrading machinery and novel carbohydrate-active enzymes in LPH172 in detail. Results: We sequenced and analyzed the 36.6-Mb genome and transcriptome of LPH172 during growth on glucose, cellulose, rice straw, and beechwood xylan. 10,128 predicted genes were found in total, which included 411 CAZy domains. Compared to other fungi, auxiliary activity (AA) domains were particularly enriched. A higher GC content was found in coding sequences compared to the overall genome, as well as a high GC3 content, which is hypothesized to contribute to thermophilicity. Primarily auxiliary activity (AA) family 9 lytic polysaccharide monooxygenase (LPMO) and glycoside hydrolase (GH) family 7 glucanase encoding genes were upregulated when LPH172 was cultivated on cellulosic substrates. Conventional hemicellulose encoding genes (GH10, GH11 and various CEs), as well as AA9 LPMOs, were upregulated when LPH172 was cultivated on xylan. The observed co-expression and co-upregulation of genes encoding AA9 LPMOs, other AA CAZymes, and (hemi)cellulases point to a complex and nuanced degradation strategy. Conclusions: Our analysis of the genome and transcriptome of T. terrestris LPH172 elucidates the enzyme arsenal that the fungus uses to degrade lignocellulosic substrates. The study provides the basis for future characterization of potential new enzymes for industrial biomass saccharification.
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| 5. |
- Torello Pianale, Luca, 1995, et al.
(författare)
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Exploring Microbial Robustness for a Sustainable and Efficient Bioproduction
- 2020
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Efficient microbial cell factories that produce valuable compounds are gaining increasing interest as one path towards a more sustainable economy. Therefore, there is an increasing need for robust microorganisms which can optimally perform even in harsh and challenging industrial conditions. The identification of robustness traits is crucial to improve the already-existing strains and develop new, better ones. Here, different approaches to study microbial robustness are presented. First, single-cell analysis in a cell population might give some insights on the development of more robust sub-populations. Physiological parameters (such as intracellular pH, fluxes, redox balance, etc.) and morphologic features were monitored with fluorescent biosensors and tagged proteins to study the single-cell status. Moreover, a barcoding technique will be used to discover and underline patterns in the development of population dynamics during the different industrial processes. Furthermore, an objective method to quantify robustness was developed for selection of useful strains and a large dataset was analysed to find predictive parameters for robustness. All together, these tools will give the possibility to identify robustness traits and understand robustness leading to improved industrial strains and processes.
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| 6. |
- Torello Pianale, Luca, 1995, et al.
(författare)
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Microbial robustness 101: tools and applications
- 2022
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Striving for a fossil-free society, bio-production is gaining increasing interest over time. Bioproduction applies microorganisms (bacteria, yeast, fungi) to produce valuable chemicals from different raw materials (plant biomass, waste materials, etc.) and offers sustainable use of side-streams and/or waste streams. Bioproduction suffers from challenges such as poor microbial performance and reproducibility. One key feature in this field is microbial robustness, i.e., the stability of a phenotype (cellular function) when a system is challenged by different perturbations. Microbial robustness, due to its abstract nature, has been poorly studied also due to the lack of tools available. Moreover, being able to include robustness evaluation in the early stages of bioprocess and strain design would facilitate their scaling up from the laboratory- to the industrial scales. Here two tools to explore microbial robustness with some applications and case studies in Saccharomyces cerevisiae are presented. First, a way to quantify the robustness of cellular functions was developed. The robustness coefficient proposed allows comparison between strains and cellular functions in a given perturbation space. This method, based on the Fano factor, is dimensionless, free from arbitrary control conditions and frequency-independent. Second, fluorescent biosensors sensing the intracellular environment were developed into a versatile and easy-to-use toolbox. Such toolbox was used in population studies to identify different physiological responses in different strains exposed to industrially-relevant media and conditions. In the future, it will be implemented in single-cell analysis in microfluidic devices and for studying the formation of subpopulations in large-scale fermentations. All together, these tools will give the possibility to identify robustness traits and mechanisms, allowing for physiological insights that are a foundation for improving industrial strains and process designs.
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| 7. |
- Torello Pianale, Luca, 1995, et al.
(författare)
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Real-Time Monitoring of the Yeast Intracellular State During Bioprocesses With a Toolbox of Biosensors
- 2022
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Ingår i: Frontiers in Microbiology. - : Frontiers Media SA. - 1664-302X. ; 12
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Tidskriftsartikel (refereegranskat)abstract
- Industrial fermentation processes strive for high robustness to ensure optimal and consistent performance. Medium components, fermentation products, and physical perturbations may cause stress and lower performance. Cellular stress elicits a range of responses, whose extracellular manifestations have been extensively studied; whereas intracellular aspects remain poorly known due to lack of tools for real-time monitoring. Genetically encoded biosensors have emerged as promising tools and have been used to improve microbial productivity and tolerance toward industrially relevant stresses. Here, fluorescent biosensors able to sense the yeast intracellular environment (pH, ATP levels, oxidative stress, glycolytic flux, and ribosome production) were implemented into a versatile and easy-to-use toolbox. Marker-free and efficient genome integration at a conserved site on chromosome X of Saccharomyces cerevisiae strains and a commercial Saccharomyces boulardii strain was developed. Moreover, multiple biosensors were used to simultaneously monitor different intracellular parameters in a single cell. Even when combined together, the biosensors did not significantly affect key physiological parameters, such as specific growth rate and product yields. Activation and response of each biosensor and their interconnection were assessed using an advanced micro-cultivation system. Finally, the toolbox was used to screen cell behavior in a synthetic lignocellulosic hydrolysate that mimicked harsh industrial substrates, revealing differences in the oxidative stress response between laboratory (CEN.PK113-7D) and industrial (Ethanol Red) S. cerevisiae strains. In summary, the toolbox will allow both the exploration of yeast diversity and physiological responses in natural and complex industrial conditions, as well as the possibility to monitor production processes.
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| 8. |
- Trivellin, Cecilia, 1993, et al.
(författare)
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Performance and robustness analysis reveals phenotypic trade-offs in yeast
- 2024
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Ingår i: Life Science Alliance. - 2575-1077. ; 7:1
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Tidskriftsartikel (refereegranskat)abstract
- To design strains that can function efficiently in complex industrial settings, it is crucial to consider their robustness, that is, the stability of their performance when faced with perturbations. In the present study, we cultivated 24 Saccharomyces cerevisiae strains under conditions that simulated perturbations encountered during lignocellulosic bioethanol production, and assessed the performance and robustness of multiple phenotypes simultaneously. The observed negative correlations confirmed a trade-off between performance and robustness of ethanol yield, biomass yield, and cell dry weight. Conversely, the specific growth rate performance positively correlated with the robustness, presumably because of evolutionary selection for robust, fast-growing cells. The Ethanol Red strain exhibited both high performance and robustness, making it a good candidate for bioproduction in the tested perturbation space. Our results experimentally map the robustness-performance trade-offs, previously demonstrated mainly by single-phenotype and computational studies.
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| 9. |
- Trivellin, Cecilia, 1993, et al.
(författare)
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Quantification of Microbial Robustness in Yeast
- 2022
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Ingår i: ACS Synthetic Biology. - : American Chemical Society (ACS). - 2161-5063. ; 11:4, s. 1686-1691
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Tidskriftsartikel (refereegranskat)abstract
- Stable cell performance in a fluctuating environment is essential for sustainable bioproduction and synthetic cell functionality; however, microbial robustness is rarely quantified. Here, we describe a high-throughput strategy for quantifying robustness of multiple cellular functions and strains in a perturbation space. We evaluated quantification theory on experimental data and concluded that the mean-normalized Fano factor allowed accurate, reliable, and standardized quantification. Our methodology applied to perturbations related to lignocellulosic bioethanol production showed that the industrial bioethanol producing strain Saccharomyces cerevisiae Ethanol Red exhibited both higher and more robust growth rates than the laboratory strain CEN.PK and industrial strain PE-2, while a more robust product yield traded off for lower mean levels. The methodology validated that robustness is function-specific and characterized by positive and negative function-specific trade-offs. Systematic quantification of robustness to end-use perturbations will be important to analyze and construct robust strains with more predictable functions.
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| 10. |
- van Dijk, Marlous, 1990, et al.
(författare)
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RNA sequencing reveals metabolic and regulatory changes leading to more robust fermentation performance during short-term adaptation of Saccharomyces cerevisiae to lignocellulosic inhibitors
- 2021
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Ingår i: Biotechnology for Biofuels. - : Springer Science and Business Media LLC. - 1754-6834 .- 1754-6834. ; 14:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: The limited tolerance of Saccharomyces cerevisiae to inhibitors is a major challenge in second-generation bioethanol production, and our understanding of the molecular mechanisms providing tolerance to inhibitor-rich lignocellulosic hydrolysates is incomplete. Short-term adaptation of the yeast in the presence of dilute hydrolysate can improve its robustness and productivity during subsequent fermentation. Results: We utilized RNA sequencing to investigate differential gene expression in the industrial yeast strain CR01 during short-term adaptation, mimicking industrial conditions for cell propagation. In this first transcriptomic study of short-term adaption of S. cerevisiae to lignocellulosic hydrolysate, we found that cultures respond by fine-tuned up- and down-regulation of a subset of general stress response genes. Furthermore, time-resolved RNA sequencing allowed for identification of genes that were differentially expressed at 2 or more sampling points, revealing the importance of oxidative stress response, thiamin and biotin biosynthesis. furan-aldehyde reductases and specific drug:H+ antiporters, as well as the down-regulation of certain transporter genes. Conclusions: These findings provide a better understanding of the molecular mechanisms governing short-term adaptation of S. cerevisiae to lignocellulosic hydrolysate, and suggest new genetic targets for improving fermentation robustness.
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