Novel biocatalytic modules for the cell-free conversion of cellodextrins to glucaric acid

Cell-free biocatalysis offers a versatile platform for the biomanufacturing of bulk or specialty chemicals due to the flexibility in assembling enzymes from different organisms in synthetic reaction pathways. Current challenges of this approach include costly enzyme preparation, low enzyme stability and efficient enzyme recycling. To overcome these challenges, we present a molecular toolbox that facilitates the simple construction of enzymes as low-cost and recyclable biocatalytic modules. The toolbox is composed of three interchangeable components: (i) inorganic matrices; (ii) matrix-specific solid-binding peptides (SBPs); and (iii) thermostable enzymes. SBPs are short amino acid sequences that can be fused genetically to proteins and direct the orientated immobilization of the resulting protein fusion onto solid matrices (1, 2). The biocatalytic module design relies on the affinity of the SBP for inorganic matrices. Single enzyme biocatalytic modules can be prepared easily consisting of one type of enzyme immobilized per matrix while a multiple enzyme biocatalytic module consists of multiple enzymes immobilized simultaneously onto the matrix. The modules can be combined rationally to generate product-specific reaction pathways and their subsequent removal from the reaction medium allows for a ‘pick, mix, and reuse’ approach, which can be optimized easily for low-cost cell-free biomanufacturing. Recently, we have shown that it is possible to assemble single and multiple enzyme biocatalytic modules using thermostable polysaccharide-degrading enzymes and that the enzymes retain their specific hydrolytic activities upon several rounds of recycling at high temperatures (2). Here, we applied the biocatalytic modules concept for the cell-free conversion of cellodextrins to glucaric acid, via a more complex seven enzyme synthetic pathway. Glucaric acid is one of the 12 top candidates for bio-based building blocks and is a precursor for polymers, including nylons and hyperbranched polyesters (3). Its bioproduction from cellodextrins, which can be derived from organic waste, provides a sustainable alternative to the fossil-derived production of polymers. Initially, single enzyme biocatalytic modules were prepared with a silica-specific SBP fused to two enzymes of the synthetic pathway allowing for their selective immobilization onto an inexpensive silica-based matrix. The SBP mediated the binding of each enzyme onto the matrix with over 85% immobilization efficiency. When comparing the enzyme activities of the biocatalytic modules against the free enzymes, 85 and 93% of their initial activities were retained upon immobilization, respectively. Furthermore, co-immobilization of these two enzymes as a multiple enzyme module resulted in similar immobilization yields. Performance of both enzymes in the multiple enzyme module in a successive reaction revealed that they retained 70% of their activity when compared to the free enzymes. Currently, the silica-specific SBP has been incorporated into other 5 enzymes of the pathway and we are proceeding with the construction of the single and multiple enzyme biocatalytic modules and pathway assembly. (1) Care A, Bergquist PL, Sunna A (2015) Trends in Biotechnology, 33: 259-268. (2) Care A, Petroll K, Gibson ESY, Bergquist PL, Sunna A (2017) Biotechnology for Biofuels 10:29. (3) Werpy T and G Petersen (2004). Results of Screening for Potential Candidates from Sugars and Synthesis Gas. National Renewable Energy Lab

Synthetic biocatalytic modules for enhanced transformation of biological waste products

Many insoluble materials can be used as carriers for the immobilisation of enzymes. Solid-binding peptides (SBPs) are short amino acid sequences that can act as molecular linkers to direct the orientated immobilisation of proteins onto solid materials without impeding their biological activity [1]. Silica-based materials like silica and zeolite have been found to be suitable matrices for enzyme immobilisation in industrial processes. They are inexpensive, offer high mechanical strength and stability, are chemically inert and can be deployed over a wide range of operating conditions. We have constructed biocatalytic modules that are based on the incorporation of a silica-binding SBP (‘linker’) sequence into several genes for thermostable enzymes to facilitate the immobilisation of the proteins onto silica-based matrices, enabling the hydrolysis of both simple and complex polysaccharides. We have shown also that the procedure is suitable for the construction of complex enzymological pathways. In proof of concept experiments, the linker (L) sequence was attached to the N- or C-terminus of three thermostable hemicellulases isolated from thermophilic bacteria using genetic engineering techniques [2]. The resulting L-enzymes remained active after fusion and displayed the same pH and temperature optima but differing thermostabilities in comparison to their corresponding enzymes without linker. The linker facilitated the rapid and simple immobilisation of each L-enzyme onto zeolite, resulting in the construction of ‘single enzyme biocatalytic modules’. All three L-enzymes co-immobilised onto the same zeolite matrix resulted in the formation of ‘multiple enzyme biocatalytic modules’, which were shown to degrade various hemicellulosic substrates effectively in a ‘one-pot’ reaction. Cell-free synthetic biology circumvents many of the limitations encountered by in vivo synthetic biology by operating without the constraints of a cell. It offers higher substrate and enzyme loading and the facile optimisation of enzyme ratios. Some of the challenges of this approach include costly enzyme preparation, biocatalyst stability, and the need for constant supplementation with co-factors. To overcome these challenges, we have developed a molecular toolbox that facilitates the construction of biocatalytic modules with predefined functions and catalytic properties. It consists of three interchangeable building blocks: (a) low-cost inorganic matrices (e.g., silica, zeolite), (b) matrix-specific SBPs and (c) thermostable enzymes. The rational combination of these building blocks allows for flexibility and a ‘pick, mix’ and re-use’ approach with multiple biocatalytic modules available for the assembly of natural and non-natural pathways. Individual immobilised enzymes can be combined rationally to assemble recyclable and product-specific reactions. We present preliminary results relating to the construction of two synthetic pathways for the conversion of organic wastes such as coffee and plant biomass. The pathway assembly process allows for rapid evaluation for proof of concept and for assessing the parameters for a synthetic pathway, which are very labour- and time-intensive by the in vivo approach. [1] Care, A, Bergquist, PL, Sunna, A. (2015) Trends Biotech. 33: 259-268 [2] Care, A, Petroll, K, Gibson, ESY, Bergquist, PL, Sunna, A. (2017) Biotech. Biofuels. 10: 2

Potential Use of Quantum Dots in Flow Cytometry

QDs may offer significant advantages in environmental and bead-based applications where the target cells need to be discriminated above background fluorescence. We have examined the possible applications of QDs for flow cytometric measurements (FCM) by studying their excitation - emission spectra and their binding to paramagnetic beads. We labelled beads with either QDs or a commonly-used fluorochrome (FITC) and studied their fluorescence intensity by FCM. Flow cytometric comparisons indicated that the minimum fluorophore concentration required for detection of QDs above autofluorescent background was 100-fold less than for FITC

Comparison of novel and standard diagnostic tools for the detection of Schistosoma mekongi infection in Lao People's Democratic Republic and Cambodia

Given the restricted distribution of Schistosoma mekongi in one province in Lao People's Democratic Republic (Lao PDR) and two provinces in Cambodia, together with progress of the national control programmes aimed at reducing morbidity and infection prevalence, the elimination of schistosomiasis mekongi seems feasible. However, sensitive diagnostic tools will be required to determine whether elimination has been achieved. We compared several standard and novel diagnostic tools in S. mekongi-endemic areas.; The prevalence and infection intensity of S. mekongi were evaluated in 377 study participants from four villages in the endemic areas in Lao PDR and Cambodia using Kato-Katz stool examination, antibody detection based on an enzyme-linked immunosorbent assay (ELISA) and schistosome circulating antigen detection by lateral-flow tests. Two highly sensitive test systems for the detection of cathodic and anodic circulating antigens (CCA, CAA) in urine and serum were utilized.; Stool microscopy revealed an overall prevalence of S. mekongi of 6.4% (one case in Cambodia and 23 cases in Lao PDR), while that of Opisthorchis viverrini, hookworm, Trichuris trichiura, Ascaris lumbricoides and Taenia spp. were 50.4%, 28.1%, 3.5%, 0.3% and 1.9%, respectively. In the urine samples, the tests for CCA and CAA detected S. mekongi infections in 21.0% and 38.7% of the study participants, respectively. In the serum samples, the CAA assay revealed a prevalence of 32.4%, while a combination of the CAA assay in serum and in urine revealed a prevalence of 43.2%. There was a difference between the two study locations with a higher prevalence reached in the samples from Lao PDR.; The CCA, CAA and ELISA results showed substantially higher prevalence estimates for S. mekongi compared to Kato-Katz thick smears. Active schistosomiasis mekongi in Lao PDR and Cambodia might thus have been considerably underestimated previously. Hence, sustained control efforts are still needed to break transmission of S. mekongi. The pivotal role of highly sensitive diagnostic assays in areas targeting elimination cannot be overemphasised

Disruption of Higher Order DNA Structures in Friedreich's Ataxia (GAA)n Repeats by PNA or LNA Targeting

Expansion of (GAA)n repeats in the first intron of the Frataxin gene is associated with reduced mRNA and protein levels and the development of Friedreich’s ataxia. (GAA)n expansions form non-canonical structures, including intramolecular triplex (H-DNA), and R-loops and are associated with epigenetic modifications. With the aim of interfering with higher order H-DNA (like) DNA structures within pathological (GAA)n expansions, we examined sequence-specific interaction of peptide nucleic acid (PNA) with (GAA)n repeats of different lengths (short: n=9, medium: n=75 or long: n=115) by chemical probing of triple helical and single stranded regions. We found that a triplex structure (H-DNA) forms at GAA repeats of different lengths; however, single stranded regions were not detected within the medium size pathological repeat, suggesting the presence of a more complex structure. Furthermore, (GAA)4-PNA binding of the repeat abolished all detectable triplex DNA structures, whereas (CTT)5-PNA did not. We present evidence that (GAA)4-PNA can invade the DNA at the repeat region by binding the DNA CTT strand, thereby preventing non-canonical-DNA formation, and that triplex invasion complexes by (CTT)5-PNA form at the GAA repeats. Locked nucleic acid (LNA) oligonucleotides also inhibited triplex formation at GAA repeat expansions, and atomic force microscopy analysis showed significant relaxation of plasmid morphology in the presence of GAA-LNA. Thus, by inhibiting disease related higher order DNA structures in the Frataxin gene, such PNA and LNA oligomers may have potential for discovery of drugs aiming at recovering Frataxin expression

Spatial Distribution of, and Risk Factors for, Opisthorchis viverrini Infection in Southern Lao PDR

The liver fluke Opisthorchis viverrini mainly occurs in Lao PDR and Thailand. Humans become infected through the consumption of raw or insufficiently cooked freshwater fish. Chronic infections may lead to severe liver (bile duct) diseases that eventually develop into a bile duct cancer with extremely poor prognosis. Current control efforts aim at preventing heavy morbidity and mortality. In recent years, spatial modeling, using data from well designed surveys, has been employed to better understand the distribution and determinants of parasitic diseases for guiding subsequent control. However, a spatial modeling approach has not been used for O. viverrini before. The purpose of the current study was to map the distribution of O. viverrini infection in Champasack province in southern Lao PDR, to identify risk factors of infection, and to predict the distribution at non-surveyed locations. We found that the risk of O. viverrini infection is higher for people living in close proximity to freshwater bodies, whereas the lack of sanitation sustained environmental contamination and transmission. High risk zones in Champasack province are concentrated in the Mekong River corridor, and hence control efforts should be targeted along the Mekong River

Mapping genetic variations to three- dimensional protein structures to enhance variant interpretation: a proposed framework

The translation of personal genomics to precision medicine depends on the accurate interpretation of the multitude of genetic variants observed for each individual. However, even when genetic variants are predicted to modify a protein, their functional implications may be unclear. Many diseases are caused by genetic variants affecting important protein features, such as enzyme active sites or interaction interfaces. The scientific community has catalogued millions of genetic variants in genomic databases and thousands of protein structures in the Protein Data Bank. Mapping mutations onto three-dimensional (3D) structures enables atomic-level analyses of protein positions that may be important for the stability or formation of interactions; these may explain the effect of mutations and in some cases even open a path for targeted drug development. To accelerate progress in the integration of these data types, we held a two-day Gene Variation to 3D (GVto3D) workshop to report on the latest advances and to discuss unmet needs. The overarching goal of the workshop was to address the question: what can be done together as a community to advance the integration of genetic variants and 3D protein structures that could not be done by a single investigator or laboratory? Here we describe the workshop outcomes, review the state of the field, and propose the development of a framework with which to promote progress in this arena. The framework will include a set of standard formats, common ontologies, a common application programming interface to enable interoperation of the resources, and a Tool Registry to make it easy to find and apply the tools to specific analysis problems. Interoperability will enable integration of diverse data sources and tools and collaborative development of variant effect prediction methods

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Background The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. Results Here, we report on the results of the third CAFA challenge, CAFA3, that featured an expanded analysis over the previous CAFA rounds, both in terms of volume of data analyzed and the types of analysis performed. In a novel and major new development, computational predictions and assessment goals drove some of the experimental assays, resulting in new functional annotations for more than 1000 genes. Specifically, we performed experimental whole-genome mutation screening in Candida albicans and Pseudomonas aureginosa genomes, which provided us with genome-wide experimental data for genes associated with biofilm formation and motility. We further performed targeted assays on selected genes in Drosophila melanogaster, which we suspected of being involved in long-term memory. Conclusion We conclude that while predictions of the molecular function and biological process annotations have slightly improved over time, those of the cellular component have not. Term-centric prediction of experimental annotations remains equally challenging; although the performance of the top methods is significantly better than the expectations set by baseline methods in C. albicans and D. melanogaster, it leaves considerable room and need for improvement. Finally, we report that the CAFA community now involves a broad range of participants with expertise in bioinformatics, biological experimentation, biocuration, and bio-ontologies, working together to improve functional annotation, computational function prediction, and our ability to manage big data in the era of large experimental screens.Peer reviewe