Application of a novel fluorogenic polyurethane analogue probe in polyester-degrading microorganisms screening by microfluidic droplet

Application of polyester-degrading microorganisms or enzymes should be considered as an eco-friendly alternative to chemical recycling due to the huge plastic waste disposal nowadays. However, current impranil DLN-based screening of polyester-degrading microorganisms is time-consuming, labour-intensive and unable to distinguish polyesterases from other protease- or amidase-like enzymes. Herein, we present an approach that combined a novel synthetic fluorescent polyurethane analogue probe (FPAP), along with the droplet-based microfluidics to screen polyurethane-degrading microorganisms through fluorescence-activated droplet sorting (FADS) pipeline. The fluorescent probe FPAP exhibited a fluorescence enhancement effect once hydrolysed by polyesterases, along with a strong specificity in discriminating polyesterases from other non-active enzymes. Application of FPAP in a microfluidic droplet system demonstrated that this probe exhibited high sensitivity and efficiency in selecting positive droplets containing leaf-branch compost cutinase (LCC) enzymes. This novel fluorogenic probe, FPAP, combined with the droplet microfluidic system has the potential to be used in the exploitation of novel PUR-biocatalysts for biotechnological and environmental applications.     

PpEst is a novel PBAT degrading polyesterase identified by proteomic screening of Pseudomonas pseudoalcaligenes

A novel esterase, PpEst, that hydrolyses the co-aromatic-aliphatic polyester poly(1,4-butylene adipate-co-terephthalate) (PBAT) was identified by proteomic screening of the Pseudomonas pseudoalcaligenes secretome. PpEst was induced by the presence of PBAT in the growth media and had predicted arylesterase (EC 3.1.1.2) activity. PpEst showed polyesterase activity on both whole and milled PBAT film releasing terephthalic acid and 4-(4-hydroxybutoxycarbonyl)benzoic acid while end product inhibition by 4-(4-hydroxybutoxycarbonyl)benzoic acid was observed. Modelling of an aromatic polyester mimicking oligomer into the PpEst active site indicated that the binding pocket could be big enough to accommodate large polymers. This is the first report of a PBAT degrading enzyme being identified by proteomic screening and shows that this approach can contribute to the discovery of new polymer hydrolysing enzymes. Moreover, these results indicate that arylesterases could be an interesting enzyme class for identifications of polyesterases.

     

毕赤酵母液滴微流控高通量筛选方法的建立与应用

巴斯德毕赤酵母是当前应用最为方便和广泛的外源蛋白表达系统之一,为了进一步提高其表达外源蛋白的能力,文中建立了基于液滴微流控的毕赤酵母高通量筛选方法,并以木聚糖酶融合荧光蛋白为例,筛选获得木聚糖酶表达和分泌能力提高的突变株。通过PCR扩增得到木聚糖酶xyn5基因和绿色荧光蛋白gfp基因融合片段,并克隆到毕赤酵母表达载体pPIC9K中构建出木聚糖酶融合绿色荧光蛋白的质粒pPIC9K-xyn5-gfp,电转化至毕赤酵母GS115中得到表达木聚糖酶和绿色荧光蛋白的毕赤酵母SG菌株。该菌株经过常压室温等离子体诱变后进行单细胞液滴包埋,液滴培养24h后进行微流控筛选,获得高表达木聚糖酶的突变菌株,进而用于下一轮的诱变突变库构建和筛选。以此类推,经过5轮液滴微流控筛选,获得一株高产菌株SG-m5,其木聚糖酶活为149.17U/mg,较出发菌株提升300%,分泌外源蛋白的能力较出发菌株提高160%。文中建立的毕赤酵母单细胞液滴微流控高通量筛选方法能达到每小时10万菌株的筛选通量,筛选百万级别的菌株库仅需10h,消耗荧光试剂体积100μL,对比传统的微孔板筛选方法降低试剂成本近百万倍,为高效、低成本筛选获得表达和分泌外源蛋白能力提高的毕赤酵母提供了一条新途径。     

Intelligent high‐throughput intervention testing platform in Daphnia

We present a novel platform for testing the effects of interventions on the life‐ and healthspan of a short‐lived freshwater organism with complex behavior and physiology—the planktonic crustacean Daphnia magna. Within this platform, dozens of complex behavioral features of both routine motion and response to stimuli are continuously quantified over large synchronized cohorts via an automated phenotyping pipeline. We build predictive machine‐learning models calibrated using chronological age and extrapolate onto phenotypic age. We further apply the model to estimate the phenotypic age under pharmacological perturbation. Our platform provides a scalable framework for drug screening and characterization in both life‐long and instant assays as illustrated using a long‐term dose‐response profile of metformin and a short‐term assay of well‐studied substances such as caffeine and alcohol.     

Machine learning‐based automated fungal cell counting under a complicated background with ilastik and ImageJ

Measuring the concentration and viability of fungal cells is an important and fundamental procedure in scientific research and industrial fermentation. In consideration of the drawbacks of manual cell counting, large quantities of fungal cells require methods that provide easy, objective and reproducible high‐throughput calculations, especially for samples in complicated backgrounds. To answer this challenge, we explored and developed an easy‐to‐use fungal cell counting pipeline that combined the machine learning‐based ilastik tool with the freeware ImageJ, as well as a conventional photomicroscope. Briefly, learning from labels provided by the user, ilastik performs segmentation and classification automatically in batch processing mode and thus discriminates fungal cells from complex backgrounds. The files processed through ilastik can be recognized by ImageJ, which can compute the numeric results with the macro ‘Fungal Cell Counter’. Taking the yeast Cryptococccus deneoformans and the filamentous fungus Pestalotiopsis microspora as examples, we observed that the customizable software algorithm reduced inter‐operator errors significantly and achieved accurate and objective results, while manual counting with a haemocytometer exhibited some errors between repeats and required more time. In summary, a convenient, rapid, reproducible and extremely low‐cost method to count yeast cells and fungal spores is described here, which can be applied to multiple kinds of eucaryotic microorganisms in genetics, cell biology and industrial fermentation.     

Activity-dependent fluorescent labeling of bacterial cells expressing the TOL pathway

3-Ethynylbenzoate (3EB) functions as a novel, activity-dependent, fluorogenic, and chromogenic probe for bacterial strains expressing the TOL pathway, which degrade toluene via conversion to benzoate, followed by meta ring fission of the intermediate catechol. This direct physiological analysis allows the fluorescent labeling of cells whose toluene-degrading enzymes have been induced by an aromatic substrate.     

How low can you go? Introducing SeXY: sex identification from low‐quantity sequencing data despite lacking assembled sex chromosomes

Accurate sex identification is crucial for elucidating the biology of a species. In the absence of directly observable sexual characteristics, sex identification of wild fauna can be challenging, if not impossible. Molecular sexing offers a powerful alternative to morphological sexing approaches. Here, we present SeXY, a novel sex‐identification pipeline, for very low‐coverage shotgun sequencing data from a single individual. SeXY was designed to utilize low‐effort screening data for sex identification and does not require a conspecific sex‐chromosome assembly as reference. We assess the accuracy of our pipeline to data quantity by downsampling sequencing data from 100,000 to 1000 mapped reads and to reference genome selection by mapping to a variety of reference genomes of various qualities and phylogenetic distance. We show that our method is 100% accurate when mapping to a high‐quality (highly contiguous N50 > 30 Mb) conspecific genome, even down to 1000 mapped reads. For lower‐quality reference assemblies (N50 < 30 Mb), our method is 100% accurate with 50,000 mapped reads, regardless of reference assembly quality or phylogenetic distance. The SeXY pipeline provides several advantages over previously implemented methods; SeXY (i) requires sequencing data from only a single individual, (ii) does not require assembled conspecific sex chromosomes, or even a conspecific reference assembly, (iii) takes into account variation in coverage across the genome, and (iv) is accurate with only 1000 mapped reads in many cases.     

Extension of a de novo TIM barrel with a rationally designed secondary structure element

The ability to construct novel enzymes is a major aim in de novo protein design. A popular enzyme fold for design attempts is the TIM barrel. This fold is a common topology for enzymes and can harbor many diverse reactions. The recent de novo design of a four‐fold symmetric TIM barrel provides a well understood minimal scaffold for potential enzyme designs. Here we explore opportunities to extend and diversify this scaffold by adding a short de novo helix on top of the barrel. Due to the size of the protein, we developed a design pipeline based on computational ab initio folding that solves a less complex sub‐problem focused around the helix and its vicinity and adapt it to the entire protein. We provide biochemical characterization and a high‐resolution X‐ray structure for one variant and compare it to our design model. The successful extension of this robust TIM‐barrel scaffold opens opportunities to diversify it towards more pocket like arrangements and as such can be considered a building block for future design of binding or catalytic sites.     

Rapid directed molecular evolution of fluorescent proteins in mammalian cells

In vivo imaging of model organisms is heavily reliant on fluorescent proteins with high intracellular brightness. Here we describe a practical method for rapid optimization of fluorescent proteins via directed molecular evolution in cultured mammalian cells. Using this method, we were able to perform screening of large gene libraries containing up to 2 × 10⁷ independent random genes of fluorescent proteins expressed in HEK cells, completing one iteration of directed evolution in a course of 8 days. We employed this approach to develop a set of green and near‐infrared fluorescent proteins with enhanced intracellular brightness. The developed near‐infrared fluorescent proteins demonstrated high performance for fluorescent labeling of neurons in culture and in vivo in model organisms such as Caenorhabditis elegans, Drosophila, zebrafish, and mice. Spectral properties of the optimized near‐infrared fluorescent proteins enabled crosstalk‐free multicolor imaging in combination with common green and red fluorescent proteins, as well as dual‐color near‐infrared fluorescence imaging. The described method has a great potential to be adopted by protein engineers due to its simplicity and practicality. We also believe that the new enhanced fluorescent proteins will find wide application for in vivo multicolor imaging of small model organisms.     

Assay of proteins by Lowry's method in samples containing 2-mercaptoethanol

A rapid method of screening chromatographic fractions has been developed for enzymes which metabolize fluorogenic substrates. Samples of the eluted fractions are applied to cellulose acetate gels and then incubated with the specific fluorogenic substrate. Fractions which possess enzymatic activity are visible as fluorescent spots when the gels are examined under long-wave ultraviolet light.     

Barley GRIK1‐SnRK1 kinases subvert a viral virulence protein to upregulate antiviral RNAi and inhibit infection

Viruses often usurp host machineries for their amplification, but it remains unclear if hosts may subvert virus proteins to regulate viral proliferation. Here, we show that the 17K protein, an important virulence factor conserved in barley yellow dwarf viruses (BYDVs) and related poleroviruses, is phosphorylated by host GRIK1‐SnRK1 kinases, with the phosphorylated 17K (P17K) capable of enhancing the abundance of virus‐derived small interfering RNAs (vsiRNAs) and thus antiviral RNAi. Furthermore, P17K interacts with barley small RNA‐degrading nuclease 1 (HvSDN1) and impedes HvSDN1‐catalyzed vsiRNA degradation. Additionally, P17K weakens the HvSDN1‐HvAGO1 interaction, thus hindering HvSDN1 from accessing and degrading HvAGO1‐carried vsiRNAs. Importantly, transgenic expression of 17K phosphomimetics (17K^5D), or genome editing of SDN1, generates stable resistance to BYDV through elevating vsiRNA abundance. These data validate a novel mechanism that enhances antiviral RNAi through host subversion of a viral virulence protein to inhibit SDN1‐catalyzed vsiRNA degradation and suggest new ways for engineering BYDV‐resistant crops.     

Fermentation for future food systems: Precision fermentation can complement the scope and applications of traditional fermentation

Modern biotechnology holds great potential for expanding the scope of fermentation to create novel foods and improve the sustainability of food production.

The growing human population and global warming pose an impending threat for global food security (Linder, 2019). This has prompted a critical re‐examination of the food supply chain from producers to consumers in order to increase the overall efficiency of food production, storage and transport. Much research in plant science consequently aims to increase production with new, high‐yield crop, fruit and vegetable varieties better adapted to changing climatic conditions. Yet, there is also much room for improving food safety by minimising food losses and recycling waste, valorising by‐products, improving nutritional value and increasing storage time. This is where fermentation comes in as a cost‐efficient, versatile and proven technology that extends the shelf life of food products and enhances their nutritional content. Moreover, there is enormous potential in fermentation to further increase efficiency and product range and even create new food products from non‐food biomass.

… there is enormous potential in fermentation to further increase efficiency and product range and even create new food products from non‐food biomass.

In a broader sense, fermentation can be defined as the cultivation of microorganisms such as bacteria, yeasts and fungi to break down complex molecules into simpler ones, notably organic acids, alcohols or esters. In a practical sense, it is one of the oldest food processing technologies to increase storage life along with cooking, smoking or air‐drying: fermentation was already fully industrialised for producing beer and bread millennia ago in ancient Mesopotamia and Egypt. It is also an elegant and simple technology as these microorganisms do most of the work without much human involvement.Louis Pasteur’s discovery that microorganisms cause fermentation laid the basis for further improvement of the technology from traditional spontaneous fermentation to the use of defined starter cultures. Fermentation is now widely used to produce alcoholic beverages, bread and pastry, dairy products, pickled vegetables, soy sauce and so on. More recent advances based on genomics and synthetic biology include precision and biomass fermentation to produce specific compounds for the food and chemical industry or medicinal use. This is not the limit though: when combined with genomics, fermentation has even greater potential for creating novel foods and other products.     

PPARα alleviates iron overload‐induced ferroptosis in mouse liver

Ferroptosis is an iron‐dependent form of non‐apoptotic cell death implicated in liver, brain, kidney, and heart pathology. How ferroptosis is regulated remains poorly understood. Here, we show that PPARα suppresses ferroptosis by promoting the expression of glutathione peroxidase 4 (Gpx4) and by inhibiting the expression of the plasma iron carrier TRF. PPARα directly induces Gpx4 expression by binding to a PPRE element within intron 3. PPARα knockout mice develop more severe iron accumulation and ferroptosis in the liver when fed a high‐iron diet than wild‐type mice. Ferrous iron (Fe²⁺) triggers ferroptosis via Fenton reactions and ROS accumulation. We further find that a rhodamine‐based "turn‐on" fluorescent probe(probe1) is suitable for the in vivo detection of Fe²⁺. Probe1 displays high selectivity towards Fe²⁺, and exhibits a stable response for Fe²⁺ with a concentration of 20 μM in tissue. Our data thus show that PPARα activation alleviates iron overload‐induced ferroptosis in mouse livers through Gpx4 and TRF, suggesting that PPARα may be a promising therapeutic target for drug discovery in ferroptosis‐related tissue injuries. Moreover, we identified a fluorescent probe that specifically labels ferrous ions and can be used to monitor Fe²⁺ in vivo.     

Ultrahigh-throughput screening of industrial enzyme-producing strains by droplet-based microfluidic system

Droplet-based microfluidics has emerged as a powerful tool for single-cell screening with ultrahigh throughput, but its widespread application remains limited by the accessibility of a droplet microfluidic high-throughput screening (HTS) platform, especially to common laboratories having no background in microfluidics. Here, we first developed a microfluidic HTS platform based on fluorescence-activated droplet sorting technology. This platform allowed (i) encapsulation of single cells in monodisperse water-in-oil droplets; (ii) cell growth and protein production in droplets; and (iii) sorting of droplets based on their fluorescence intensities. To validate the platform, a model selection experiment of a binary mixture of Bacillus strains was performed, and a 45.6-fold enrichment was achieved at a sorting rate of 300 droplets per second. Furthermore, we used the platform for the selection of higher α-amylase-producing Bacillus licheniformis strains from a mutant library generated by atmospheric and room temperature plasma mutagenesis, and clones displaying over 50% improvement in α-amylase productivity were isolated. This droplet screening system could be applied to the engineering of other industrially valuable strains.     

On‐site genetic analysis for species identification using lab‐on‐a‐chip

This paper presents a microfluidic device capable of performing genetic analysis on dung samples to identify White Rhinoceros (Ceratotherium simum). The development of a microfluidic device, which can be used in the field, offers a portable and cost‐effective solution for DNA analysis and species identification to aid conservation efforts. Optimization of the DNA extraction processes produced equivalent yields compared to conventional kit‐based methods within just 5 minutes. The use of a color‐changing loop‐mediated isothermal amplification reaction for simultaneous detection of the cytochrome B sequence of C. simum enabled positive results to be obtained within as little as 30 minutes. Field testing was performed at Knowsley Safari to demonstrate real‐world applicability of the microfluidic device for testing of biological samples.     

A method for benchmarking genetic screens reveals a predominant mitochondrial bias

We present FLEX (Functional evaluation of experimental perturbations), a pipeline that leverages several functional annotation resources to establish reference standards for benchmarking human genome‐wide CRISPR screen data and methods for analyzing them. FLEX provides a quantitative measurement of the functional information captured by a given gene‐pair dataset and a means to explore the diversity of functions captured by the input dataset. We apply FLEX to analyze data from the diverse cell line screens generated by the DepMap project. We identify a predominant mitochondria‐associated signal within co‐essentiality networks derived from these data and explore the basis of this signal. Our analysis and time‐resolved CRISPR screens in a single cell line suggest that the variable phenotypes associated with mitochondria genes across cells may reflect screen dynamics and protein stability effects rather than genetic dependencies. We characterize this functional bias and demonstrate its relevance for interpreting differential hits in any CRISPR screening context. More generally, we demonstrate the utility of the FLEX pipeline for performing robust comparative evaluations of CRISPR screens or methods for processing them.     

Integration of Droplet Microfluidic Tools for Single-cell Functional Metagenomics:An Engineering Head Start

Droplet microfluidic techniques have shown promising outcome to study single cells at high throughput. However, their adoption in laboratories studying"-omics"sciences is still irrelevant due to the complex and multi-disciplinary nature of the field. To facilitate their use, here we provide engineering details and organized protocols for integrating three droplet-based microfluidic technologies into the metagenomic pipeline to enable functional screening of bioproducts at high throughput. First, a device encapsulating single cells in droplets at a rate of～ 250 Hz is described considering droplet size and cell growth. Then, we expand on previously reported fluorescence-activated droplet sorting systems to integrate the use of 4 independent fluorescence-exciting lasers (i.e., 405, 488, 561, and 637 nm) in a single platform to make it compatible with different fluorescence-emitting biosensors. For this sorter, both hardware and software are provided and optimized for effortlessly sorting droplets at 60 Hz. Then, a passive droplet merger is also integrated into our pipeline to enable adding new reagents to already-made droplets at a rate of 200 Hz. Finally, we provide an optimized recipe for manufacturing these chips using silicon dry-etching tools. Because of the overall integration and the technical details presented here, our approach allows biologists to quickly use microfluidic technologies and achieve both single-cell resolution and high-throughput capability (>50,000 cells/day) for mining and bioprospecting metagenomic data.     

聚乙烯塑料生物降解研究进展

聚乙烯(polyethylene,PE)塑料是全球通用合成树脂中产量最丰富的品种，也是最难降解的塑料之一，其在环境中大量积累已造成严重的生态污染。传统的垃圾填埋、堆肥和焚烧处理技术难以满足生态环境的保护要求，生物降解是解决塑料污染问题的一种生态友好、成本低廉、前景可期的方法。本文对PE塑料的化学结构、降解微生物的种类、降解酶和代谢途径等方面进行了综述，结合国内外PE塑料生物降解的前沿和热点问题，建议重点开展高效降解菌株筛选、人工合成菌群构建、降解酶的挖掘与改造等方面的研究，为PE塑料生物降解研究提供路径选择和理论借鉴。     

Multi‐level metabolic engineering of Escherichia coli for high‐titer biosynthesis of 2′‐fucosyllactose and 3‐fucosyllactose

Fucosyllactoses (FL), including 2′‐fucosyllactose (2′‐FL) and 3‐fucosyllactose (3‐FL), have garnered considerable interest for their value in newborn formula and pharmaceuticals. In this study, an engineered Escherichia coli was developed for high‐titer FL biosynthesis by introducing multi‐level metabolic engineering strategies, including (1) individual construction of the 2′/3‐FL‐producing strains through gene combination optimization of the GDP‐L‐fucose module; (2) screening of rate‐limiting enzymes (α‐1,2‐fucosyltransferase and α‐1,3‐fucosyltransferase); (3) analysis of critical intermediates and inactivation of competing pathways to redirect carbon fluxes to FL biosynthesis; (4) enhancement of the catalytic performance of rate‐limiting enzymes by the RBS screening, fusion peptides and multi‐copy gene cloning. The final strains EC49 and EM47 produced 9.36 g/L for 2′‐FL and 6.28 g/L for 3‐FL in shake flasks with a modified‐M9CA medium. Fed‐batch cultivations of the two strains generated 64.62 g/L of 2′‐FL and 40.68 g/L of 3‐FL in the 3‐L bioreactors, with yields of 0.65 mol 2′‐FL/mol lactose and 0.67 mol 3‐FL/mol lactose, respectively. This research provides a viable platform for other high‐value‐added compounds production in microbial cell factories.

An engineered Escherichia coli was developed for high‐titer FL biosynthesis by introducing multi‐level metabolic engineering strategies. Combined with the optimization of metabolic pathways and the performance improvement of rate‐limiting enzymes, 64.62 g/L of 2 ''‐FL and 40.68 g/L of 3‐FL were finally obtained in the 3‐L bioreactors.