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1. Pitfalls in Metaheuristics Solving Stoichiometric-Based Optimization Models for Metabolic Networks

   https://doi.org/10.3390/a17080336  

   Briones-Báez, Mónica Fabiola; Aguilera-Vázquez, Luciano; Rangel-Valdez, Nelson; Zuñiga, Cristal; Martínez-Salazar, Ana Lidia; Gomez-Santillan, Claudia (August 2024, Algorithms)

   Caramia, Massimiliano; Werner, Frank (Ed.)

   Flux Balance Analysis (FBA) is a constraint-based method that is commonly used to guide metabolites through restricting pathways that often involve conditions such as anaplerotic cycles like Calvin, reversible or irreversible reactions, and nodes where metabolic pathways branch. The method can identify the best conditions for one course but fails when dealing with the pathways of multiple metabolites of interest. Recent studies on metabolism consider it more natural to optimize several metabolites simultaneously rather than just one; moreover, they point out the use of metaheuristics as an attractive alternative that extends FBA to tackle multiple objectives. However, the literature also warns that the use of such techniques must not be wild. Instead, it must be subject to careful fine-tuning and selection processes to achieve the desired results. This work analyses the impact on the quality of the pathways built using the NSGAII and MOEA/D algorithms and several novel optimization models; it conducts a study on two case studies, the pigment biosynthesis and the node in glutamate metabolism of the microalgae Chlorella vulgaris, under three culture conditions (autotrophic, heterotrophic, and mixotrophic) while optimizing for three metabolic intermediaries as independent objective functions simultaneously. The results show varying performances between NSGAII and MOEA/D, demonstrating that the selection of an optimization model can greatly affect predicted phenotypes. 

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2. Central metabolism and development are rewired in lichenized cyanobacteria

   https://doi.org/10.1093/ismejo/wraf166  

   Garfias-Gallegos, Diego; Pardo-De_la_Hoz, Carlos_J; Haughland, Diane_L; Magain, Nicolas; Aguero, Blanka; Miadlikowska, Jolanta; Lutzoni, François (August 2025, The ISME Journal)

   Abstract Nostoc cyanobacteria are among the few organisms capable of fixing both carbon and nitrogen. These metabolic features are essential for the cyanolichen symbiosis, where Nostoc supplies both carbon (as glucose) and nitrogen (as ammonium) to a cyanolichen-forming fungal partner. This nutrient flow was established by seminal biochemical studies published in the 20th century. Since then, cyanolichen metabolism has received little attention, and the molecular mechanisms that underlie the physiology of lichenized Nostoc remain mostly unknown. Here, we aimed to elucidate the genomic and transcriptional changes that enable Nostoc’s metabolic role in cyanolichens. We used comparative genomics across 243 genomes of Nostoc s. lat. coupled with metatranscriptomic experiments using Peltigera cyanolichens. We found that genes for photoautotrophic carbon fixation are upregulated in lichenized Nostoc. This likely results in a higher rate of carbon fixation that allows Nostoc to provide carbon to the fungal partner while meeting its own metabolic needs. We also found that the transfer of ammonium from Nostoc to the lichen-forming fungus is facilitated by two molecular mechanisms: (i) transcriptional downregulation of glutamine synthetase, the key enzyme responsible for ammonium assimilation in Nostoc; and (ii) frequent losses of a putative high-affinity ammonium permease, which likely reduces Nostoc’s capacity to recapture leaked ammonium. Finally, we found that the development of motile hormogonia is downregulated in lichenized Nostoc, which resembles the repression of motility in Nostoc symbionts after they colonize symbiotic cavities of their plant hosts. Our results pave the way for a revival of cyanolichen ecophysiology in the omics era. 

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3. Characterizing the Interplay of Rubisco and Nitrogenase Enzymes in Anaerobic-Photoheterotrophically Grown Rhodopseudomonas palustris CGA009 through a Genome-Scale Metabolic and Expression Model

   https://doi.org/10.1128/spectrum.01463-22  

   Chowdhury, Niaz Bahar; Alsiyabi, Adil; Saha, Rajib (June 2022, Microbiology Spectrum)

   Gralnick, Jeffrey A. (Ed.)

   ABSTRACT Rhodopseudomonas palustris CGA009 is a Gram-negative purple nonsulfur bacterium that grows phototrophically by fixing carbon dioxide and nitrogen or chemotrophically by fixing or catabolizing a wide array of substrates, including lignin breakdown products for its carbon and fixing nitrogen for its nitrogen requirements. It can grow aerobically or anaerobically and can use light, inorganic, and organic compounds for energy production. Due to its ability to convert different carbon sources into useful products during anaerobic growth, this study reconstructed a metabolic and expression (ME) model of R. palustris to investigate its anaerobic-photoheterotrophic growth. Unlike metabolic (M) models, ME models include transcription and translation reactions along with macromolecules synthesis and couple these reactions with growth rate. This unique feature of the ME model led to nonlinear growth curve predictions, which matched closely with experimental growth rate data. At the theoretical maximum growth rate, the ME model suggested a diminishing rate of carbon fixation and predicted malate dehydrogenase and glycerol-3 phosphate dehydrogenase as alternate electron sinks. Moreover, the ME model also identified ferredoxin as a key regulator in distributing electrons between major redox balancing pathways. Because ME models include the turnover rate for each metabolic reaction, it was used to successfully capture experimentally observed temperature regulation of different nitrogenases. Overall, these unique features of the ME model demonstrated the influence of nitrogenases and rubiscos on R. palustris growth and predicted a key regulator in distributing electrons between major redox balancing pathways, thus establishing a platform for in silico investigation of R. palustris metabolism from a multiomics perspective. IMPORTANCE In this work, we reconstructed the first ME model for a purple nonsulfur bacterium (PNSB). Using the ME model, different aspects of R. palustris metabolism were examined. First, the ME model was used to analyze how reducing power entering the R. palustris cell through organic carbon sources gets partitioned into biomass, carbon dioxide fixation, and nitrogen fixation. Furthermore, the ME model predicted electron flux through ferredoxin as a major bottleneck in distributing electrons to nitrogenase enzymes. Next, the ME model characterized different nitrogenase enzymes and successfully recapitulated experimentally observed temperature regulations of those enzymes. Identifying the bottleneck responsible for transferring an electron to nitrogenase enzymes and recapitulating the temperature regulation of different nitrogenase enzymes can have profound implications in metabolic engineering, such as hydrogen production from R. palustris . Another interesting application of this ME model can be to take advantage of its redox balancing strategy to gain an understanding of the regulatory mechanism of biodegradable plastic production precursors, such as polyhydroxybutyrate (PHB). 

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4. Overexpression of RuBisCO form I and II genes in Rhodopseudomonas palustris TIE-1 augments polyhydroxyalkanoate production heterotrophically and autotrophically

   https://doi.org/10.1128/aem.01438-24  

   Ranaivoarisoa, Tahina Onina; Bai, Wei; Karthikeyan, Rengasamy; Steele, Hope; Silberman, Miriam; Olabode, Jennifer; Conners, Eric; Gallagher, Brian; Bose, Arpita (September 2024, Applied and Environmental Microbiology)

   Reguera, Gemma (Ed.)

   ABSTRACT With the rising demand for sustainable renewable resources, microorganisms capable of producing bioproducts such as bioplastics are attractive. While many bioproduction systems are well-studied in model organisms, investigating non-model organisms is essential to expand the field and utilize metabolically versatile strains. This investigation centers onRhodopseudomonas palustrisTIE-1, a purple non-sulfur bacterium capable of producing bioplastics. To increase bioplastic production, genes encoding the putative regulatory protein PhaR and the depolymerase PhaZ of the polyhydroxyalkanoate (PHA) biosynthesis pathway were deleted. Genes associated with pathways that might compete with PHA production, specifically those linked to glycogen production and nitrogen fixation, were deleted. Additionally, RuBisCO form I and II genes were integrated into TIE-1’s genome by a phage integration system, developed in this study. Our results show that deletion ofphaRincreases PHA production when TIE-1 is grown photoheterotrophically with butyrate and ammonium chloride (NH₄Cl). Mutants unable to produce glycogen or fix nitrogen show increased PHA production under photoautotrophic growth with hydrogen and NH₄Cl. The most significant increase in PHA production was observed when RuBisCO form I and form I & II genes were overexpressed, five times under photoheterotrophy with butyrate, two times with hydrogen and NH₄Cl, and two times under photoelectrotrophic growth with N₂. In summary, inserting copies of RuBisCO genes into the TIE-1 genome is a more effective strategy than deleting competing pathways to increase PHA production in TIE-1. The successful use of the phage integration system opens numerous opportunities for synthetic biology in TIE-1.IMPORTANCEOur planet has been burdened by pollution resulting from the extensive use of petroleum-derived plastics for the last few decades. Since the discovery of biodegradable plastic alternatives, concerted efforts have been made to enhance their bioproduction. The versatile microorganismRhodopseudomonas palustrisTIE-1 (TIE-1) stands out as a promising candidate for bioplastic synthesis, owing to its ability to use multiple electron sources, fix the greenhouse gas CO₂, and use light as an energy source. Two categories of strains were meticulously designed from the TIE-1 wild-type to augment the production of polyhydroxyalkanoate (PHA), one such bioplastic produced. The first group includes mutants carrying a deletion of thephaRorphaZgenes in the PHA pathway, and those lacking potential competitive carbon and energy sinks to the PHA pathway (namely, glycogen biosynthesis and nitrogen fixation). The second group comprises TIE-1 strains that overexpress RuBisCO form I or form I & II genes inserted via a phage integration system. By studying numerous metabolic mutants and overexpression strains, we conclude that genetic modifications in the environmental microbe TIE-1 can improve PHA production. When combined with other approaches (such as reactor design, use of microbial consortia, and different feedstocks), genetic and metabolic manipulations of purple nonsulfur bacteria like TIE-1 are essential for replacing petroleum-derived plastics with biodegradable plastics like PHA. 

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5. Investigating the Chemolithoautotrophic and Formate Metabolism of Nitrospira moscoviensis by Constraint-Based Metabolic Modeling and ¹³ C-Tracer Analysis

   https://doi.org/10.1128/mSystems.00173-21  

   Lawson, Christopher E.; Mundinger, Aniela B.; Koch, Hanna; Jacobson, Tyler B.; Weathersby, Coty A.; Jetten, Mike S.; Pabst, Martin; Amador-Noguez, Daniel; Noguera, Daniel R.; McMahon, Katherine; et al (August 2021, mSystems)

   Hallam, Steven J. (Ed.)

   ABSTRACT Nitrite-oxidizing bacteria belonging to the genus Nitrospira mediate a key step in nitrification and play important roles in the biogeochemical nitrogen cycle and wastewater treatment. While these organisms have recently been shown to exhibit metabolic flexibility beyond their chemolithoautotrophic lifestyle, including the use of simple organic compounds to fuel their energy metabolism, the metabolic networks controlling their autotrophic and mixotrophic growth remain poorly understood. Here, we reconstructed a genome-scale metabolic model for Nitrospira moscoviensis ( i Nmo686) and used flux balance analysis to evaluate the metabolic networks controlling autotrophic and formatotrophic growth on nitrite and formate, respectively. Subsequently, proteomic analysis and [ 13 C]bicarbonate and [ 13 C]formate tracer experiments coupled to metabolomic analysis were performed to experimentally validate model predictions. Our findings corroborate that N. moscoviensis uses the reductive tricarboxylic acid cycle for CO 2 fixation, and we also show that N. moscoviensis can indirectly use formate as a carbon source by oxidizing it first to CO 2 followed by reassimilation, rather than direct incorporation via the reductive glycine pathway. Our study offers the first measurements of Nitrospira ’s in vivo central carbon metabolism and provides a quantitative tool that can be used for understanding and predicting their metabolic processes. IMPORTANCE Nitrospira spp. are globally abundant nitrifying bacteria in soil and aquatic ecosystems and in wastewater treatment plants, where they control the oxidation of nitrite to nitrate. Despite their critical contribution to nitrogen cycling across diverse environments, detailed understanding of their metabolic network and prediction of their function under different environmental conditions remains a major challenge. Here, we provide the first constraint-based metabolic model of Nitrospira moscoviensis representing the ubiquitous Nitrospira lineage II and subsequently validate this model using proteomics and 13 C-tracers combined with intracellular metabolomic analysis. The resulting genome-scale model will serve as a knowledge base of Nitrospira metabolism and lays the foundation for quantitative systems biology studies of these globally important nitrite-oxidizing bacteria. 

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