Design Design
Overview

 “OPHAelia” is based on a system of mutually beneficial symbiosis between two bacteria: Escherichia coli BL21 (DE3) and Pseudomonas putida KT2440 . This synergy has been designed and optimized, harnessing the tools that synthetic biology provides, for the efficient detoxification of Olive Oil Mill Wastewater and its bioconversion into a high-value product, Polyhydroxyalkanoates (PHAs). To facilitate comprehension, we have divided our design into four primary axes: the OMW detoxification, the PHA production, the PHA recovery, and lastly the Biosafety aspect ensuring the biocontainment of the genetically engineered bacteria, all actions to which both bacteria contribute. In the following paragraphs, we will analyze the roles of each bacterium in each aspect of oPHAelia.

OMW detoxification

 Olive oil mill wastewater (OMW) poses a major issue for olive oil-producing countries due to its high organic content, low pH, and high chemical and biochemical oxygen demands(CODChemical oxygen demand (COD)
is a crucial parameter used in the analysis of water quality and serves as an indicator
of the extent of organic pollution present in bodies of water.
1 and BODBiochemical Oxygen Demand (BOD)
stands as one of the most commonly employed metrics for evaluating water quality.
It offers insights into the portion of organic pollutants in water that is readily biodegradable.
2)(see "Project Description"] for more details). Therefore, its detoxification, as the first aspect of the project, has significantly shaped our design, from the selection of microorganisms to the specific parts and regulatory elements. In this section, we explain our design considerations for each bacterium separately regarding the OMW detoxification with particular emphasis on the degradation of phenolic compounds, as the most recalcitrant fraction of the effluent.

P. putida

 P. putida’s adaptability, broad metabolic capability, and effectiveness in degrading phenolic compounds from OMW made it the primary bacterium of choice. Through metabolic engineering, the goal is to maximize the conversion of OMW constituents into valuable biodegradable polymers called PHAs.

Fig. 1. Schematic representation of the protocatechuate branch of the β-ketoadipate pathway (highlighted in brown color), which funnels different phenolic compounds (e.g. p-coumaric, ferulic, vanillic and caffeic acid), found in OMW, into the TCA cycle intermediates, acetyl-CoA and succinyl-CoA. Colored arrows ( purple,green, lilac) and red crosses indicate metabolic pathway enhancement and weakening, respectively, for the optimization of PHAs production.



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 Pseudomonas putida , the best-characterized member of the wide group of fluorescent Pseudomonas species, is a non-pathogenic soil bacterium with a remarkable and versatile metabolism that has evolved to withstand harsh environmental conditions. These properties have established it as one of the workhorses for bioremediation approaches and sustainable production of value-added chemicals3. Regarding the aromatic catabolic pathways, P. putida contains 12 out of the 14 identified central pathways4,5, with the ring-cleavage mechanism of β-ketoadipate and homogentisate pathway, mediated by dioxygenases, significantly involved in the reduction of most low-molecular-weight phenolic compounds found in OMW6, 7, 8,such as cinnamic, p-coumaric, caffeic, ferulic and vanillic acid ( Fig. 1).  Therefore, P. putida was selected as the primary bacterium, since it can effectively degrade a plethora of prominent monomeric phenolic compounds of OMW, exhibit phytotoxic9 and antimicrobial10 activities, as well as the other components that contribute to its high organic load (such as sugars, organic acids, and lipids) and utilize them as a source for the production of value-added products11. Those characteristics make P. putida fit in our design without the need of additional genetic modification for the detoxification aspect. Nevertheless, a series of metabolic engineering was designed to optimize the funneling of phenolics and other organic compounds into the production of biobased biodegradable polymers (Fig.1), known as polyhydroxyalkanoates, or PHAs (see “PHA production” section for more details).



E.coli

 E. coli plays a supportive but crucial role in OMW detoxification, by co-expressing and secreting a laccase enzyme derived from a white-rot fungus implemented in an inducible system. This system was designed to address the challenge of degrading complex polymeric phenolic compounds in OMW, that P. putida is unable to break down.





Fig.2. Schematic representation of the laccase secretion system in E.coli, for the degradation of polymeric phenolic compounds found in OMW. The laccase is under the regulation of the AraC/PBAD system and is secreted from the cell ( pac-man), thanks to the fusion with a signal peptide, suitable for protein secretion in bacterial expression systems.



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 While some aerobic bacteria, such as P. putida, are effective against low-molecular-weight phenolic compounds, they are not as efficient with polymeric, lignin-like phenolics, such as tannins, lignans and catechol melaninic polymers12, mainly responsible for the dark coloration of OMW13. White-rot basidiomycetes, on the other hand, excel in breaking down these complex compounds14 due to a system consisting of extracellular ligninolytic enzymes, such as laccase, lignin peroxidase, and manganese-dependent peroxidase. Laccase, an oxidoreductase, catalyzes the non-specific oxidation of aromatic substrates while simultaneously reducing molecular oxygen to water15, offering an advantage over peroxidases that require costly hydrogen peroxide as a co-substrate.
 Therefore, in our design, E. coli plays a crucial supportive role in OMW detoxification by co-expressing and secreting a laccase derived from the white-rot fungus Trametes versicolor16, developing a laccase secretion system for the degradation of polymeric phenolic compounds found in OMW17. As this enzyme originates from an organism of a different kingdom, we had to implement modifications to ensure its successful integration. For this reason, the upstream coding sequence of the mature laccase was fused with the sequence of an optimal signal peptide and then the whole coding sequence was placed under the control of the well-known inducible system AraCThe AraC protein
serves a dual role for the regulation of the pBAD promoter .
It functions as a positive regulator, enhancing transcription when arabinose is present.
Conversely, it serves as a negative regulator when arabinose is absent, suppressing the initiation of transcription
/PBAD 18(Fig.2.), since OMW contains significant concentrations of L-arabinose19, 20. Lastly, in order to overcome carbon catabolite repression (CCRCarbon catabolite
repression functions by suppressing the production of enzymes responsible
for breaking down carbon sources that are not the organism's preferred choice.
CCR is a significant component of the overall regulatory system in many bacteria and other microorganisms.
) against our system’s induction, but also substrate competitions, in our theoretical design, we decided to include a knock out for the ptsG gene, encoding the major glucose phosphotransferase system, based on λ-red and I-SceI, as described by Lin Zhenquan21.

PHA production

 As we mentioned in the “OMW detoxification” section,P. putida is able to utilize low-biodegradable compounds and in return synthesize value-added products, such as polyhydroxyalkanoates (PHAs), a family of biodegradable storage polyoxoesters accumulated by many bacterial species, as carbon and energy form in response to unbalanced growing conditions22 (see “Project Description” for more details). However, the limitations of a single, engineered or not, strain’s metabolic capacity results in a limited range of available substrates, high production cost, and low PHA accumulation23. A promising solution to this problem, would be the addition of a helper microorganism, as suggested by " Dr. Karpouzas", Professor of Environmental Microbiology and Biotechnology in the Department of Biochemistry and Biotechnology, for the development of an“artificial microbial consortium”. In this section, we describe the construction of a potential platform for improved PHA production, based on a “nutrition supply-detoxification” concept, where E. coli provides free fatty acids to P. putida, which in turn detoxifies the substrate from organic acids and phenolic acids.

P. putida

P. putida produces PHA via two pathways, one using PHA-related carbon sources, and a second pathway utilizing PHA-nonrelated carbon sources. For this reason, we developed two regulatory circuits, aiming for the expression of key enzymes from both pathways, which ultimately lead to the accumulation of the central PHA precursor (R)-3-hydroxyacyl-CoA , a substrate for the two PHA polymerases.

Fig.3. Schematic representation of our design in P. putida. The 3 primary engineered pathways can be seen in different colors. a. The PfadBA- FadR system induced by fatty acyl-CoAs regulates the expression of phaJ, encoding the enzyme that catalyzes the linking step between the fatty acid β-oxidation and PHA synthesis (shown with a lilac continuous arrow). b. The intermediate PCA, derived from the catabolism of phenolics of OMW, regulates the expression of phaG and alkK, through the regulatory protein PcaU and the Ppca promoter. These two enzymes catalyze two consecutive steps that link the fatty acid de novo synthesis and the PHA synthesis (shown in two continuous arrows). c. The two synthases, phaC1 and phaC2 catalyze the final step of the PHA production (shown in the green continuous arrow).d. With red crosses, we have pointed to the gene deletions we implemented in our theoretical design.



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P. putida produces medium-chain-length polyhydroxyalkanoate (mcl-PHA) copolymers (monomers ranging from C6-C14) via two primary and complementary pathways, one using PHA-related carbon sources such as free fatty acids, as they are structurally similar to the key monomers that make up PHA, and a second pathway utilizing PHA-nonrelated carbon sources such as sugars, aromatic compounds, and organic acids24. In the presence of PHA-related carbon sources, the biosynthesis of PHAs is orchestrated by β-oxidation, since it provides the peripheral PHA biosynthetic pathway with the intermediates of fatty acid degradation. When PHA-nonrelated substrates are fed to P. putida, carbon fluxes within central catabolic pathways are directed to the key central intermediate acetyl-CoA and channeled toward PHA formation via the de novo fatty acid synthesis (Fig. 3).  Although most of the previous strategies for improved PHA production are limited to enhancing only one of the involved pathways, we considered that such a scenario would limit the extent to which such a rich substrate as OMW could be valorized. So, we came up with two different regulatory circuits, aiming for the activation of the producing devices directly from the contents of the OMW, both from the related and nonrelated carbon sources.  Starting with the PHA production from nonrelated substrates (e.g. glucose, phenolic acids and acetic acid), we have pinpointed two key enzymes, acyl-CoA synthase (alkK) and hydroxyacyl-ACP acyl-transferase (phaG), which play a pivotal role in connecting the de novo fatty acid synthesis with the PHA biosynthetic pathway25. To control the expression of the two genes, we designed a regulatory system based on the transcription factor PcaU, an activator found in Acinetobacter baylyi ADP126 (Fig. 3b). PcaU has the unique property of binding to specific operator regions whether the effector molecule is present or absent27. In our design, this system would be triggered by the presence of the intermediate compound protocatechuic acid (PCA), formed during the catabolism of OMW phenolic compounds through the protocatechuate branch of the β-ketoadipate pathway (see "OMW detoxification"). Hence, this regulatory mechanism would enhance the funneling of nonrelated substrates towards the production of PHA .  Regarding the PHA production from related substrates (e.g. free fatty acids), the phaJ gene was chosen to be incorporated in a regulatory system since it encodes the trans-enoyl-CoA hydratase that catalyzes the linking step between β-oxidation and the PHA machinery by converting the β-oxidation intermediate 2-trans-enoyl-CoA to (R)-3-hydroxyacyl-CoA28 (Fig. 3a). For the regulation of its expression, a free fatty acid (FFA)-sensitive system (Fig. 4) was constructed, based on the E. coli fatty acid metabolism repressor FadR and a synthetic promoter with FadR recognition/binding sites29. So, when fatty acids accumulate, they would be first activated to the corresponding acyl-CoA by an acyl-CoA synthetase (fadD)30. Acyl-CoAs in turn would bind to FadR, releasing in that way the promoter region and simultaneously activating the metabolic hub sitting between β-oxidation and PHA synthesis.

Fig. 4. Schematic representation of the PfadBA-FadR system. In absence of free fatty acids (FFAs), the consistently produced FadR protein inhibits the function of the PfadBA promoter, suppressing the phaJ expression. When FFAs are present, they are activated to acyl-CoAs by acyl-CoA synthase (encoded by fadD). Acyl-CoAs bind to the FadR protein, allowing the PfadBA promoter to function properly, leading to the transcription of the phaJ gene.



 Besides the incorporation of the phaJ gene, weakening β-oxidation is considered another rational approach for boosting mcl-PHA production from related substrates31. Therefore, two well-identified genes encoding 3-hydroxyacyl-CoA dehydrogenase (fadB) and 3-ketoacyl-CoA thiolase (fadA) were chosen to be knocked out in P. putida, leading the conversion of most fatty acids into 3-hydroxyacyl-CoA32 (Fig. 3.d).  Both main pathways converge in the creation of (R)-3-hydroxyacyl-CoA units, which are then transformed by two mcl-PHA synthases33 (or polymerases) into a polyester chain by releasing one CoA molecule per catalytic cycle. To enhance the polymerization of PHA precursors the phaC1 and phaC2 genes, encoding the PHA polymerases, were designed to be overexpressed using the Anderson promoter J23100, a choice that was supported again by Dr. Tsampika Manoli Maria (Fig. 3.c).  However, we must keep in mind that PHA production is a dynamic process, alternating between synthesis and consumption of the polymers depending on the environmental and feeding conditions. Therefore, in order to prevent the degradation of the final product into free (R)-HA monomers, we have included the deletion of the phaZ gene, encoding the PHA depolymerase34 (Fig. 3.d).



E.coli

E. coli has been designed to efficiently produce and secrete FFAs, with a sophisticated negative feedback system based on malonyl-CoA and the heterologous expression of a plant acyl-ACP thioesterase. This strategy aims to improve fatty acid titer and productivity while alleviating the risks of cell toxicity exhibited when acetyl-CoA carboxylase is overexpressed constitutively.



Fig. 5. Schematic representation of our design in E. coli. In the middle center, we can see the regulatory role of the LacI (pink marking) and FapR protein (green marking) in acc expression. With the blue continuous arrow we can see the pivotal step that the thioesterase catalyzes, which facilitates the release and secretion of the FFAs. With red crosses, we have pointed to the gene deletions we implemented in our theoretical design.



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 While unable to synthesize PHAs natively, E. coli has many characteristics that make it suitable for the supporting role in our system. E. coli was selected and designed to preferentially utilize L-arabinose, D-xylose and D-galactose, sugars found in OMW which P. putida cannot metabolize35, by knocking out the ptsG gene (see “OMW detoxification”), and at the same time produce free fatty acids (FFAs), an ideal substrate for the synthesis of PHAs by Pseudomonas putida, according to "Maria Tsampika" , a Postdoctoral researcher at Biological Research Center Margarita Salas. However, P. putida contributes also to the consortium by utilizing potentially toxic intermediate metabolites of E. coli, such as acetic acid36, as carbon source for the production of PHAs (see “PHA production”).  Under normal conditions, the biosynthesis of fatty acid is strictly regulated37. Unlike most oleaginous microorganisms or plants, E. coli is unable to accumulate significant quantities of free fatty acids naturally38. Even though most engineering approaches to improve yields and productivities include overexpressing bottleneck enzymes and bypassing native regulations of the fatty acid metabolism, these imbalanced conditions can prove destructive for the host39. For this reason we propose a malonyl-CoA-based negative feedback system in E. coli, based on Liu et al40, for improved fatty acid titer and productivity.  Malonyl-CoA is synthesized from acetyl-CoA by acetyl-CoA carboxylase encoded by accABCD (acc). The acetyl-CoA carboxylase consists of four subunits: a biotin carboxyl carrier protein, a biotin carboxylase, and two carboxyltransferase subunits. This is the first and rate-limiting step of fatty acid biosynthesis41. To increase the malonyl-CoA supply while preventing the harmful effects of overexpressing the acc, we developed a system that can sense malonyl-CoA levels and regulate acc expression accordingly (Fig. 6). We built this system around a malonyl-CoA-responsive element called FapR, a transcription factor which binds to a specific 17-bp DNA sequence, thus negatively regulating fatty acid and phospholipid metabolism in the Gram-positive bacteria Bacillus subtilis42.  When malonyl-CoA binds to FapR, it causes a conformational change in the FapR protein, leading to the dissociation of the FapR-DNA complex. We leveraged this mechanism to create a feedback loop for the negative regulation of acc expression. In this system, the acc is controlled by a T7 promoter that is regulated by the LacI, a repressor protein. LacI expression is under the control of a synthetic promoter called PFR1 , which is regulated by FapR, since it contains FapR-binding sites. Additionally, FapR is influenced by malonyl-CoA levels.  When there is an excess of malonyl-CoA, the biosensor activates the expression of lacI. LacI then, through the inhibition of the PT7 , down-regulates the expression of acc, which helps prevent the toxic effects associated with acetyl-CoA carboxylase overproduction, such as the depletion of free CoA pool by malonyl-CoA accumulation43. With malonyl-CoA levels dropping again, FapR in its free state, can bind to the PFR1 , thus inhibiting the transcription of lacI. PT7 is then active to transcribe the acc. This negative feedback circuit ensures a balanced and tightly controlled acc expression and at the same time an enhanced malonyl-CoA supply for efficient fatty acid biosynthesis.



Fig. 6. Schematic representation of the malonyl-CoA-based negative feedback system for the regulation of acc expression. In the presence of low malonyl-CoA levels, the FapR protein, in its unbound state, is able to bind to the PFR1 promoter causing its inhibition. Thus, the lacI is not expressed and the PT7 is active transcribing the acc. The expression of acc is equivalent to the rise of Malonyl CoA levels, which, above a concentration threshold, bind to and restrict the FapR protein, leaving the PFR1 active for lacI transcription. LacI inhibits the PT7 , switching the expression of the acc off and consequently, the malonyl CoA levels drop.



 The integration of the negative feedback system will provide an increased flux of malonyl-CoA to the fatty acid biosynthesis (fatty acid elongation cycle), which, in contrast to β-oxidation, operates on acyl-ACP thioesters intermediates. The release of free fatty acids requires the function of the acyl-ACP thioesterase, which terminates fatty acyl group extension by hydrolyzing the acyl moiety from the acyl-ACP. So, to further optimize the whole process we chose to knocked out the fadD gene, encoding the long-chain acyl-CoA synthetase44 and introduced the acyl-ACP thioesterase from the castor plant (Ricinus communis), an enzyme that can produce significant quantities of three major straight chain free fatty acids (C14, C16 and C16:1) when heterologously expressed in E.coli as confirmed by Zhang et al45. Hence, E. coli will provide P.putida with a preferred carbon source for PHA synthesis, contributing drastically to the efficiency and the overall cost of the process.

PHA recovery

 In addition to production, PHA recovery is considered particularly crucial as an integral part of the downstream process, impacting decisively the overall procedure cost46. For this reason, we propose a programmable lysozyme-based lysis system for P. putida, tailored to the specific requirements of “oPHAelia”.

Fig. 7. The programmable lysozyme-based lysis system for PHA recovery regulated by the MekR/PmekA expression system. a. Methyl ethyl ketone (MEK) binds to the MekR regulatory protein, and as a complex causes the induction of PmekA , activating the transcription of lysozyme. b. Once translated, lysozyme (red boomerang) translocates into the periplasmic space and causes the breakdown of the cellular structure.



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P.Putida

 Bacteria accumulate PHAs as insoluble and highly hydrophobic intracellular inclusion bodies, composed of the polymer proper and an organized layer of granule-associated proteins47 (GAPs). Since traditional methods, involving hydrolytic enzymes, sonication, high temperatures, and environmentally-unfriendly solvents/detergents reagents, present many limitations48 (e.g. high energy and chemical demands) there is a great need for a novel efficient recovery process. Therefore, we decided to create a controllable system that, upon induction, would cause the breakdown of the cellular structure, resulting in the release of the PHA granules. As the central element of this system, we selected lysozyme, an enzyme that hydrolyses the 1,4-beta-linkages between N-acetylmuramic acid and N-acetyl-D-glucosamine residues in the peptidoglycan layer, a major constituent that provides integrity to the cell wall49. To ensure the translocation of the recombinant lysozyme into the periplasmic space, the lysozyme C precursor sequence of Gallus gallus was fused at the N-terminus with the sequence of a signal peptide described for a naturally secreted protein in Pseudomonas stutzeri 50.  All that remained was to choose the appropriate inducible expression system for the regulation of the genetic SP-lysozyme entity. This selection was based on some key criteria such as the tight system regulation, in order to avoid a premature cell lysis, high expression levels in the presence of the inducer for high final biopolymer titer and the low cost of the inducer for large-scale extraction. Ultimately, the MekR/PmekA system, a methyl ethyl ketone (MEK)-inducible system, derived from the strain Pseudomonas veronii MEK70051, emerged as the ideal choice that met our requirements. This system, which is positively regulated by MekR, a member of the AraC/XylS family of regulators (Fig. 7), presents extremely tight regulation accompanied with three magnitudes of fold increase of gene expression after treatment with MEK, which is considered an ideal inducer since it can act also as a promising ‘green’ solvent for mcl-PHA extraction52.

Biosafety

  One of the main goals our team wanted to achieve with “oPHAelia”, was to ensure the safety of our system, meaning that it would be contained in our controlled environment (bioreactor) and not survive outside of it. This can be achieved both via the mechanical design of the bioreactor and the biological design we developed based on the mechanisms of co-dependency and double-auxotrophy.

Fig. 9. Schematic representation of the double auxotrophy and lysis system. Pseudomonas putida (in green) carries the modifications for the overproduction and secretion of amino acid Trp, while E. coli (in brown) overproduces and secretes Tyr. Once the MekR/PmekA (described in Fig. 7) is activated, P. putida is lyzed and thus is no longer able to provide Trp to E. coli, as a result, microbial consortium collapses. The green circles represent the PHA granules and the red marking the lysozyme enzyme.



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Co-dependency
 To ensure thebiocontainment of our genetically engineered bacteria, we had to make them dependent on specific conditions inside the bioreactor. Through our search, we concluded that the best choice would be the establishment of a cross-feeding community of E. coli and P. putida, based on amino acid exchange, thus introducing a layer of co-dependency between the two bacteria.

Double auxotrophy
 The selection of the amino acids for the creation of cross-feeder strains is considered particularly important. According to the literature and the thorough study of the Wageningen UR iGEM 2021 team, it was determined that the most promising amino acids are Tyrosine (Tyr) and Tryptophan (Trp). Specifically, E. coli was designed to be auxotrophic for Trp and overproducing Tyr, which require the deletion of trpE and tyrR genes respectively53. On the other hand, P. putida was chosen to be auxotrophic for Tyr, which requires a two-step deletion of tyrA and pheA genes54 (Fig. 8), and overproducing Trp, relying on an overexpression vector harboring trpES40F, a feedback-resistant allele of trpE55. Overall, this strategy, along with a lysozyme-based lysis system for PHAs recovery (see“PHA recovery” ), ensures the safety of “oPHAelia”(Fig. 9 ).  It is worth noting that the implementation of this strategy provides not only a layer of safety but can also play a critical role in the maintenance of the two bacteria relative ratio during co-culture56, a parameter which can affect the stability of the microbial consortium.

Fig. 8 Schematic representation of aromatic amino acids (phenylalanine, tyrosine and tryptophan) biosynthetic pathways in P.putida KT2440



References

  1. Li J, Luo G, He L, Xu J, Lyu J. Analytical Approaches for Determining Chemical Oxygen Demand in Water Bodies: A Review. Crit Rev Anal Chem. 2018 Jan 2;48(1):47-65. doi: 10.1080/10408347.2017.1370670. Epub 2017 Oct 30. PMID: 28857621.
  2. Jouanneau S, Recoules L, Durand MJ, Boukabache A, Picot V, Primault Y, Lakel A, Sengelin M, Barillon B, Thouand G. Methods for assessing biochemical oxygen demand (BOD): a review. Water Res. 2014 Feb 1;49:62-82. doi: 10.1016/j.watres.2013.10.066. Epub 2013 Nov 12. PMID: 24316182.
  3. Nikel PI, de Lorenzo V. Pseudomonas putida as a functional chassis for industrial biocatalysis: From native biochemistry to trans-metabolism. Metab Eng. 2018 Nov;50:142-155. doi: 10.1016/j.ymben.2018.05.005. Epub 2018 May 16. PMID: 29758287.
  4. Nogales, J., García, J.L., Díaz, E. (2017). Degradation of Aromatic Compounds in Pseudomonas: A Systems Biology View. In: Rojo, F. (eds) Aerobic Utilization of Hydrocarbons, Oils and Lipids. Handbook of Hydrocarbon and Lipid Microbiology . Springer, Cham.
  5. Udaondo Z, Molina L, Segura A, Duque E, Ramos JL. Analysis of the core genome and pangenome of Pseudomonas putida. Environ Microbiol. 2016 Oct;18(10):3268-3283. doi: 10.1111/1462-2920.13015. Epub 2015 Sep 16. PMID: 26261031.
  6. Di Gioia D, Barberio C, Spagnesi S, Marchetti L, Fava F. Characterization of four olive-mill-wastewater indigenous bacterial strains capable of aerobically degrading hydroxylated and methoxylated monocyclic aromatic compounds. Arch Microbiol. 2002 Sep;178(3):208-17. doi: 10.1007/s00203-002-0445-z. Epub 2002 Jun 21. PMID: 12189422.
  7. Di Gioia D, Fava F, Bertin L, Marchetti L. Biodegradation of synthetic and naturally occuring mixtures of mono-cyclic aromatic compounds present in olive mill wastewaters by two aerobic bacteria. Appl Microbiol Biotechnol. 2001 May;55(5):619-26. doi: 10.1007/s002530000554. PMID: 11414330.
  8. Ben Mansour H, Mechri B, Ghedira K, Barillier D, Mosrati R, Hammami M, Chekir-Ghedira L (2011) Treatment of olive mill wastewaters by Pseudomonas putida mt-2: toxicity assessment of untreated and treated effluent. Environ Eng Sci 28:835–841
  9. Capasso, R., Cristinzio, G., Evidente, A., Scognamiglio, F., 1992. Isolation, spectroscopy and selective phytotoxic effects of polyphe[1]nols from vegetable waste waters. Phytochemistry 31, 4125–4128.
  10. Hamdi, M., 1993. Future prospects and constraints of olive mill wastewaters use and treatment: a review. Bioprocess Eng. 8, 209– 214.
  11. Loeschcke A, Thies S. Pseudomonas putida-a versatile host for the production of natural products. Appl Microbiol Biotechnol. 2015 Aug;99(15):6197-214. doi: 10.1007/s00253-015-6745-4. Epub 2015 Jun 23. PMID: 26099332; PMCID: PMC4495716.
  12. Sumera Shabir, Noshin Ilyas, Maimona Saeed, Fatima Bibi, R.Z. Sayyed, Waleed Hassan Almalki, Treatment technologies for olive mill wastewater with impacts on plants, Environmental Research, Volume 216, Part 3, 2023, 114399, ISSN 0013-9351,
  13. Morillo, J.A., Antizar-Ladislao, B., Monteoliva-Sánchez, M. et al. Bioremediation and biovalorisation of olive-mill wastes. Appl Microbiol Biotechnol 82, 25–39 (2009).
  14. Ntougias S, Baldrian P, Ehaliotis C, Nerud F, Merhautová V, Zervakis GI. Olive mill wastewater biodegradation potential of white-rot fungi--Mode of action of fungal culture extracts and effects of ligninolytic enzymes. Bioresour Technol. 2015;189:121-130. doi: 10.1016/j.biortech.2015.03.149. Epub 2015 Apr 3. PMID: 25879179.
  15. Solomon, E.I., Sundaram, U.M., Machonkin, T.E., 1996. Multicopper oxidases and oxygenases. Chem. Rev. 96, 2563–2605.
  16. Collins PJ, Dobson A. Regulation of Laccase Gene Transcription in Trametes versicolor. Appl Environ Microbiol. 1997 Sep;63(9):3444-50. doi: 10.1128/aem.63.9.3444-3450.1997. PMID: 16535685; PMCID: PMC1389241.
  17. Mo Y, Lao HI, Au SW, Li IC, Hu J, Yuen HM, Cheong WM, Lo OLI, Seak LCU. Expression, secretion and functional characterization of three laccases in E. coli. Synth Syst Biotechnol. 2021 Dec 7;7(1):474-480. doi: 10.1016/j.synbio.2021.12.002. PMID: 34938906; PMCID: PMC8665402.
  18. Schleif R. Regulation of the L-arabinose operon of Escherichia coli. Trends Genet. 2000 Dec;16(12):559-65. doi: 10.1016/s0168-9525(00)02153-3. PMID: 11102706.
  19. S. Dermeche, M. Nadour, C. Larroche, F. Moulti-Mati, P. Michaud, Olive mill wastes: Biochemical characterizations and valorization strategies, Process Biochemistry, Volume 48, Issue 10, 2013, Pages 1532-1552, ISSN 1359-5113,
  20. Nadour M, Laroche C, Pierre G, Delattre C, Moulti-Mati F, Michaud P. Structural Characterization and Biological Activities of Polysaccharides from Olive Mill Wastewater. Appl Biochem Biotechnol. 2015 Sep;177(2):431-45. doi: 10.1007/s12010-015-1753-5. Epub 2015 Jul 19. PMID: 26189104.
  21. Lin, Z., Xu, Z., Li, Y. et al. Metabolic engineering of Escherichia coli for the production of riboflavin. Microb Cell Fact 13, 104 (2014).
  22. Wilkinson, J.F. (1963) Carbon and enerǵy storaǵe in bacteria. Microbiology, 32, 171–176
  23. Zhu Y, Ai M, Jia X. Optimization of a Two-Species Microbial Consortium for Improved Mcl-PHA Production From Glucose-Xylose Mixtures. Front Bioeng Biotechnol. 2022 Jan 10;9:794331. doi: 10.3389/fbioe.2021.794331. PMID: 35083203; PMCID: PMC8784772.
  24. Mezzina MP, Manoli MT, Prieto MA, Nikel PI. Engineering Native and Synthetic Pathways in Pseudomonas putida for the Production of Tailored Polyhydroxyalkanoates. Biotechnol J. 2021 Mar;16(3):e2000165. doi: 10.1002/biot.202000165. Epub 2020 Nov 9. PMID: 33085217
  25. Prieto, A., Escapa, I. F., Martinez, V., Dinjaski, N., Herencias, C., de la Pena, F., et al. (2016). A holistic view of polyhydroxyalkanoate metabolism in Pseudomonas putida. Environ. Microbiol. 18 (2), 341–357. doi:10.1111/ 1462-2920.12760
  26. Gerischer U, Segura A, Ornston LN. PcaU, a transcriptional activator of genes for protocatechuate utilization in Acinetobacter. J Bacteriol. 1998 Mar;180(6):1512-24. doi: 10.1128/JB.180.6.1512-1524.1998. PMID: 9515921; PMCID: PMC107052.
  27. Jha RK, Bingen JM, Johnson CW, Kern TL, Khanna P, Trettel DS, Strauss CEM, Beckham GT, Dale T. A protocatechuate biosensor for Pseudomonas putida KT2440 via promoter and protein evolution. Metab Eng Commun. 2018 Mar 7;6:33-38. doi: 10.1016/j.meteno.2018.03.001. PMID: 29765865; PMCID: PMC5949891.
  28. Tsuge T, Fukui T, Matsusaki H, Taguchi S, Kobayashi G, Ishizaki A, Doi Y. Molecular cloning of two (R)-specific enoyl-CoA hydratase genes from Pseudomonas aeruginosa and their use for polyhydroxyalkanoate synthesis. FEMS Microbiol Lett. 2000 Mar 15;184(2):193-8. doi: 10.1111/j.1574-6968.2000.tb09013.x. PMID: 10713420.
  29. Zhang, F., Carothers, J. & Keasling, J. Design of a dynamic sensor-regulator system for production of chemicals and fuels derived from fatty acids. Nat Biotechnol 30, 354–359 (2012).
  30. Ma Y, Zheng X, Lin Y, Zhang L, Yuan Y, Wang H, Winterburn J, Wu F, Wu Q, Ye JW, Chen GQ. Engineering an oleic acid-induced system for Halomonas, E. coli and Pseudomonas. Metab Eng. 2022 Jul;72:325-336. doi: 10.1016/j.ymben.2022.04.003. Epub 2022 May 2. PMID: 35513297.
  31. Ouyang, S., Luo, R. C., Chen, S., Liu, Q., Chung, A., Wu, Q., andChen, G. (2007) Production of polyhydroxyalkanoates with high 3-hydroxydodecanoate monomer content byfadBandfadAknockoutmutant ofPseudomonas putidaKT2442.Biomacromolecules 8, 2504−2511.
  32. Chen GQ, Jiang XR. Engineering microorganisms for improving polyhydroxyalkanoate biosynthesis. Curr Opin Biotechnol. 2018 Oct;53:20-25. doi: 10.1016/j.copbio.2017.10.008. Epub 2017 Nov 21. PMID: 29169056.
  33. Rehm BH. Polyester synthases: natural catalysts for plastics. Biochem J. 2003 Nov 15;376(Pt 1):15-33. doi: 10.1042/BJ20031254. PMID: 12954080; PMCID: PMC1223765.
  34. Cai L, Yuan MQ, Liu F, Jian J, Chen GQ. Enhanced production of medium-chain-length polyhydroxyalkanoates (PHA) by PHA depolymerase knockout mutant of Pseudomonas putida KT2442. Bioresour Technol. 2009 Apr;100(7):2265-70. doi: 10.1016/j.biortech.2008.11.020. Epub 2008 Dec 21. PMID: 19103481.
  35. Gauttam R, Eng T, Zhao Z, Ul Ain Rana Q, Simmons BA, Yoshikuni Y, Mukhopadhyay A, Singer SW. Development of genetic tools for heterologous protein expression in a pentose-utilizing environmental isolate of Pseudomonas putida. Microb Biotechnol. 2023 Mar;16(3):645-661. doi: 10.1111/1751-7915.14205. Epub 2023 Jan 24. PMID: 36691869; PMCID: PMC9948227.
  36. Pinhal S, Ropers D, Geiselmann J, de Jong H. Acetate Metabolism and the Inhibition of Bacterial Growth by Acetate. J Bacteriol. 2019 Jun 10;201(13):e00147-19. doi: 10.1128/JB.00147-19. PMID: 30988035; PMCID: PMC6560135.
  37. Fujita Y, Matsuoka H, Hirooka K. Regulation of fatty acid metabolism in bacteria. Mol Microbiol. 2007 Nov;66(4):829-39. doi: 10.1111/j.1365-2958.2007.05947.x. Epub 2007 Oct 2. PMID: 17919287.
  38. Voelker TA, Davies HM. Alteration of the specificity and regulation of fatty acid synthesis of Escherichia coli by expression of a plant medium-chain acyl-acyl carrier protein thioesterase. J Bacteriol. 1994 Dec;176(23):7320-7. doi: 10.1128/jb.176.23.7320-7327.1994. PMID: 7961504; PMCID: PMC197121.
  39. Kurland CG, Dong H. Bacterial growth inhibition by overproduction of protein. Mol Microbiol. 1996 Jul;21(1):1-4. doi: 10.1046/j.1365-2958.1996.5901313.x. PMID: 8843428.
  40. Liu D, Xiao Y, Evans BS, Zhang F. Negative feedback regulation of fatty acid production based on a malonyl-CoA sensor-actuator. ACS Synth Biol. 2015 Feb 20;4(2):132-40. doi: 10.1021/sb400158w. Epub 2014 Jan 10. PMID: 24377365.
  41. Handke P, Lynch SA, Gill RT. Application and engineering of fatty acid biosynthesis in Escherichia coli for advanced fuels and chemicals. Metab Eng. 2011 Jan;13(1):28-37. doi: 10.1016/j.ymben.2010.10.007. Epub 2010 Nov 4. PMID: 21056114.
  42. Schujman GE, Paoletti L, Grossman AD, de Mendoza D. FapR, a bacterial transcription factor involved in global regulation of membrane lipid biosynthesis. Dev Cell. 2003 May;4(5):663-72. doi: 10.1016/s1534-5807(03)00123-0. PMID: 12737802.
  43. Davis MS, Solbiati J, Cronan JE Jr. Overproduction of acetyl-CoA carboxylase activity increases the rate of fatty acid biosynthesis in Escherichia coli. J Biol Chem. 2000 Sep 15;275(37):28593-8. doi: 10.1074/jbc.M004756200. PMID: 10893421.
  44. Li M, Zhang X, Agrawal A, San KY. Effect of acetate formation pathway and long chain fatty acid CoA-ligase on the free fatty acid production in E. coli expressing acyl-ACP thioesterase from Ricinus communis. Metab Eng. 2012 Jul;14(4):380-7. doi: 10.1016/j.ymben.2012.03.007. Epub 2012 Mar 30. PMID: 22480945.
  45. Zhang X, Li M, Agrawal A, San KY. Efficient free fatty acid production in Escherichia coli using plant acyl-ACP thioesterases. Metab Eng. 2011 Nov;13(6):713-22. doi: 10.1016/j.ymben.2011.09.007. Epub 2011 Oct 6. PMID: 22001432.
  46. Pagliano G, Galletti P, Samorì C, Zaghini A, Torri C. Recovery of Polyhydroxyalkanoates From Single and Mixed Microbial Cultures: A Review. Front Bioeng Biotechnol. 2021 Feb 10;9:624021. doi: 10.3389/fbioe.2021.624021. PMID: 33644018; PMCID: PMC7902716.
  47. Grage K, Jahns AC, Parlane N, Palanisamy R, Rasiah IA, Atwood JA, Rehm BH. Bacterial polyhydroxyalkanoate granules: biogenesis, structure, and potential use as nano-/micro-beads in biotechnological and biomedical applications. Biomacromolecules. 2009 Apr 13;10(4):660-9. doi: 10.1021/bm801394s. PMID: 19275166.
  48. Koller, Martin. "Established and advanced approaches for recovery of microbial polyhydroxyalkanoate (PHA) biopolyesters from surrounding microbial biomass" The EuroBiotech Journal, vol.4, no.3, 2020, pp.113-126. https://doi.org/10.2478/ebtj-2020-0013
  49. Waldemar Vollmer, Didier Blanot, Miguel A. De Pedro, Peptidoglycan structure and architecture, FEMS Microbiology Reviews, Volume 32, Issue 2, March 2008, Pages 149–167, https://doi.org/10.1111/j.1574-6976.2007.00094.x
  50. Fujita M, Torigoe K, Nakada T, Tsusaki K, Kubota M, Sakai S, Tsujisaka Y. Cloning and nucleotide sequence of the gene (amyP) for maltotetraose-forming amylase from Pseudomonas stutzeri MO-19. J Bacteriol. 1989 Mar;171(3):1333-9. doi: 10.1128/jb.171.3.1333-1339.1989. PMID: 2646279; PMCID: PMC209750.
  51. Graf N, Altenbuchner J. Functional characterization and application of a tightly regulated MekR/P mekA expression system in Escherichia coli and Pseudomonas putida. Appl Microbiol Biotechnol. 2013 Sep;97(18):8239-51. doi: 10.1007/s00253-013-5030-7. Epub 2013 Jun 15. PMID: 23771781.
  52. de Vrije T, Nagtegaal RM, Veloo RM, Kappen FHJ, de Wolf FA. Medium chain length polyhydroxyalkanoate produced from ethanol by Pseudomonas putida grown in liquid obtained from acidogenic digestion of organic municipal solid waste. Bioresour Technol. 2023 May;375:128825. doi: 10.1016/j.biortech.2023.128825. Epub 2023 Mar 5. PMID: 36878376.
  53. Baba T, Ara T, Hasegawa M, Takai Y, Okumura Y, Baba M, Datsenko KA, Tomita M, Wanner BL, Mori H. Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection. Mol Syst Biol. 2006;2:2006.0008. doi: 10.1038/msb4100050. Epub 2006 Feb 21. PMID: 16738554; PMCID: PMC1681482.
  54. Molina-Henares MA, García-Salamanca A, Molina-Henares AJ, de la Torre J, Herrera MC, Ramos JL, Duque E. Functional analysis of aromatic biosynthetic pathways in Pseudomonas putida KT2440. Microb Biotechnol. 2009 Jan;2(1):91-100. doi: 10.1111/j.1751-7915.2008.00062.x. Epub 2008 Oct 13. PMID: 21261884; PMCID: PMC3815424.
  55. Ramos I, Downs DM. Anthranilate synthase can generate sufficient phosphoribosyl amine for thiamine synthesis in Salmonella enterica. J Bacteriol. 2003 Sep;185(17):5125-32. doi: 10.1128/JB.185.17.5125-5132.2003. PMID: 12923085; PMCID: PMC180985.
  56. Kerner A, Park J, Williams A, Lin XN. A programmable Escherichia coli consortium via tunable symbiosis. PLoS One. 2012;7(3):e34032. doi: 10.1371/journal.pone.0034032. Epub 2012 Mar 30. PMID: 22479509; PMCID: PMC3316586.