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Biology subjects

Jin, Y.-S.

Publications and source records attributed to Jin, Y.-S..

7 recordsLinked to original sources

Chloroplast expression of Chlamydomonas glycolate dehydrogenase en route to an improved photorespiratory bypass

Successes with photorespiratory bypass pathway engineering have relied on nuclear transformation, requiring subcellular targeting and protein localization in the target organelles for photorespiration. In the current study, mitochondrial Chlamydomonas glycolate dehydrogenase (CrGDH) was directly expressed in chloroplasts of Chlamydomonas and tobacco, as the first enzymatic step for a photorespiratory bypass. Proof-of-concept experiments in Chlamydomonas were followed by transgenic tobacco lines that confirmed the chloroplast accumulation of active CrGDH protein. Photosynthetic rates and biomass were comparable or less than those of wild type plants under the tested conditions, indicating that chloroplast expression of CrGDH alone is insufficient to improve plant performance. These results suggest that additional downstream enzymes within a complete photorespiratory bypass are required to metabolize glyoxylate derived from CrGDH activity and thereby benefit growth. One of the chloroplast transformed lines (APP2882) accumulated CrGDH while maintaining wild type levels of photosynthesis and biomass, providing a best candidate chassis for engineering full photorespiratory bypass pathways.

plant biology↗

Acetate metabolism during xylose fermentation enhances 3-hydroxypropionic acid production in engineered acid-tolerant Issatchenkia orientalis

Efficient bioconversion of acetate-rich lignocellulosic biomass into value-added chemicals remains a major challenge due to the toxicity of acetic acid. In this study, we engineered an acid-tolerant Issatchenkia orientalis strain (IoDY01H) capable of producing 3-hydroxypropionic acid (3-HP), a key bioplastic precursor, from glucose, xylose, and acetate. Using a Cas9-based genome editing system with a hygromycin B resistance marker, we introduced heterologous genes encoding xylose utilization and {beta}-alanine-based 3-HP biosynthetic pathways into the I. orientalis genome. Metabolomic analysis revealed that acetate supplementation redirected metabolic flux toward amino acid and lipid metabolism while reducing TCA cycle intermediates. Acetate enhanced 3-HP production by promoting accumulation of {beta}-alanine, but also revealed {beta}-alanine-pyruvate aminotransferase as a metabolic bottleneck under acidic conditions. Using pretreated hemp stalk hydrolysate as a feedstock, the engineered strain achieved a 3-HP titer of 8.7 g/L via separate hydrolysis and fermentation (SHF), outperforming simultaneous saccharification and fermentation (SSF). These findings demonstrate the feasibility of producing 3-HP from acetate-rich biomass using engineered non-conventional yeast and highlight I. orientalis as a promising microbial chassis for industrial bioconversion. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=90 SRC="FIGDIR/small/649204v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@c04442org.highwire.dtl.DTLVardef@c16b4aorg.highwire.dtl.DTLVardef@6af6d9org.highwire.dtl.DTLVardef@743029_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIEngineered I. orientalis co-utilized xylose and acetate to produce 3-HP. C_LIO_LIAcetate addition enhanced 3-HP production during xylose fermentation. C_LIO_LIAcetate redirected metabolic flux toward 3-HP biosynthesis pathways. C_LIO_LIEngineered I. orientalis achieved 8.7 g/L 3-HP from hemp stalk hydrolysate via SHF. C_LI

synthetic biology↗

Long-term innovative potential of genetic research and its suppression

Long-term innovation depends not only on discovering new elements but also on facilitating new recombination at the time of their co-availability. This notion of combinatorial innovation raises the question about whether scientific exploration and industry research persist over similar time horizons to meet innovative opportunities. Here, we analyze about 20 million papers and US, Chinese, and European patents to compare the courses of scientific and industrial activities in genetic research, a domain of far-reaching societal importance. We observe that research on new genes has declined since the early 2000s, but the exploration of novel gene combinations remains active for biotechnology innovation. Yet, fields of highly practical or commercial focus are less likely to test novel gene combinations. Furthermore, industry R&D on each gene tends to decline earlier than scientific interest in that gene. After this decline of the industrial momentum, continuous scientific research still sustains exploratory and innovative opportunities, involving novel gene combinations, clinical trials, and technologically-impactful work. Based on a hypothetical scenario of over-aligned science and industry, we estimate that up to 42.2-74.4% of the combinational opportunities would be unexplored if scientific research becomes hindered due to industrys retreat. This study suggests the potential complementary roles of scientific and industrial research with different temporal modes in innovation cycles, calling for balanced policies to foster innovation ecosystems.

scientific communication and education↗

Exploiting Endogenous Cas9-Based Genome Editing of Lacticaseibacillus rhamnosus GG (LGG) for Precision Food Fermentation and Live Biotherapeutics

Lacticaseibacillus rhamnosus GG (LGG) is one of the most extensively studied probiotic strains, widely used in food and health applications. However, the absence of efficient, precise genome editing methods has limited its broader potential and functional versatility. Here, we present an endogenous type II-A CRISPR-Cas9 genome editing workflow for LGG designed for functional strain construction. Using a plasmid interference assay together with single-nucleotide substitutions, we confirm the precise PAM requirement as 5'-NGAAA-3'. We pair a synthetic sgRNA cassette with homology-directed repair donors to enable precise deletions and insertions across multiple loci. Using this optimized and precise genome engineering method, we generated a {beta}-glucuronidase (GUS)-expressing LGG strain for robust strain tracking within complex gut microbial communities. This work removes barriers to LGG engineering, expands the probiotic CRISPR toolkit, and provides broadly applicable strategies for designing next-generation probiotics with applications in food biotechnology and microbial therapeutics. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/634116v2_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@4c471eorg.highwire.dtl.DTLVardef@1d133f6org.highwire.dtl.DTLVardef@1aa7400org.highwire.dtl.DTLVardef@1a5d4dc_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

Metabolic engineering of Saccharomyces cerevisiae for second-generation ethanol production from xylo-oligosaccharides and acetate

AO_SCPLOWBSTRACTC_SCPLOWSimultaneous intracellular depolymerization of xylo-oligosaccharides (XOS) and acetate fermentation by engineered Saccharomyces cerevisiae offers an advance towards more cost-effective second-generation (2G) ethanol production. As xylan is one of the most abundant polysaccharides present in lignocellulosic residues, the transport and breakdown of XOS in an intracellular environment might bring a competitive advantage for recombinant strains in competition with contaminating microbes, which are always present in fermentation tanks; furthermore, acetic acid is a ubiquitous toxic component in lignocellulosic hydrolysates, deriving from hemicellulose and lignin breakdown. In the present work, the previously engineered S. cerevisiae strain, SR8A6S3, expressing NADPH-linked xylose reductase (XR), NAD+-linked xylitol dehydrogenase (XDH) (for xylose assimilation), as well as NADH-linked acetylating acetaldehyde dehydrogenase (AADH) and acetyl-CoA synthetase (ACS) (for an NADH-dependent acetate reduction pathway), was used as the host for expressing of two {beta}-xylosidases, GH43-2 and GH43-7, and a xylodextrin transporter, CDT-2, from Neurospora crassa, yielding the engineered strain SR8A6S3-CDT2-GH432/7. Both {beta}-xylosidases and the transporter were introduced by replacing two endogenous genes, GRE3 and SOR1, that encode aldose reductase and sorbitol (xylitol) dehydrogenase, respectively, which catalyse steps in xylitol production. Xylitol accumulation during xylose fermentation is a problem for 2G ethanol production since it reduces final ethanol yield. The engineered strain, SR8A6S3-CDT2-GH432/7, produced ethanol through simultaneous co-utilization of XOS, xylose, and acetate. The mutant strain produced 60% more ethanol and 12% less xylitol than the control strain when a hemicellulosic hydrolysate was used as a mono- and oligosaccharide source. Similarly, the ethanol yield was 84% higher for the engineered strain using hydrolysed xylan compared with the parental strain. The consumption of XOS, xylose, and acetate expands the capabilities of S. cerevisiae for utilization of all of the carbohydrate in lignocellulose, potentially increasing the efficiency of 2G biofuel production. HighlightsO_LIIntegration of XOS pathway in an acetate-xylose-consuming S. cerevisiae strain; C_LIO_LIIntracellular fermentation of XOS, acetate and xylose improved ethanol production; C_LIO_LIDeletion of both sor1{Delta} and gre3{Delta} reduced xylitol production. C_LI

bioengineering↗

Engineering Xylose Fermentation in an Industrial Yeast: Continuous Cultivation as a Tool for Selecting Improved Strains

Production of second-generation ethanol from lignocellulosic residues should be fueling the energy matrix in the near future. Lignocellulosic feedstock has received much attention as an alternative energy resource for biorefineries toward reducing the demand for fossil resources, contributing to a future sustainable bio-based economy. Fermentation of lignocellulosic hydrolysates poses many scientific and technological challenges as the drawback of Saccharomyces cerevisiaes inability in fermenting pentose sugars (derived from hemicellulose). To overcome the inability of S. cerevisiae to ferment xylose and increase yeast robustness in the presence of inhibitory compound-containing media, the industrial S. cerevisiae strain SA-1 was engineered using CRISPR-Cas9 with the oxidoreductive xylose pathway from Scheffersomyces stipitis (encoded by XYL1, XYL2, and XYL3). The engineered strain was then cultivated in a xylose-limited chemostat under increasing dilution rates (for 64 days) to improve its xylose consumption kinetics under aerobic conditions. The evolved strain (DPY06) and its parental strain (SA-1 XR/XDH) were evaluated under anaerobic conditions in complex media. DPY06 consumed xylose faster, exhibiting an increase of 70% in xylose consumption rate at 72h of cultivation compared to its parental strain, indicating that laboratory evolution improved xylose uptake of SA-1 XR/XDH. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=102 SRC="FIGDIR/small/520281v1_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@1caf539org.highwire.dtl.DTLVardef@1a97842org.highwire.dtl.DTLVardef@11638fcorg.highwire.dtl.DTLVardef@1f72c06_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

TaxiBGC: a Taxonomy-guided Approach for the Identification of Experimentally Verified Microbial Biosynthetic Gene Clusters in Shotgun Metagenomic Data

Biosynthetic gene clusters (BGCs) in microbial genomes encode for bioactive secondary metabolites (SMs), which can play important roles in microbe-microbe and host-microbe interactions. Given the biological significance of SMs and the current profound interest in the metabolic functions of microbiomes, the unbiased identification of BGCs from high-throughput metagenomic data could offer novel insights into the complex chemical ecology of microbial communities. Currently available tools for predicting BGCs from shotgun metagenomes have several limitations, including the need for computationally demanding read-assembly; predicting a narrow breadth of BGC classes; and not providing the SM product. To overcome these limitations, we developed TaxiBGC (Taxonomy-guided Identification of Biosynthetic Gene Clusters), a command-line tool for predicting experimentally characterized BGCs (and inferring their known SMs) in metagenomes by first pinpointing the microbial species likely to harbor them. We benchmarked TaxiBGC on various simulated metagenomes, showing that our taxonomy-guided approach could predict BGCs with much-improved performance (mean F1 score: 0.56, mean PPV score: 0.80) compared to directly identifying BGCs by mapping sequencing reads onto the BGC genes (mean F1 score: 0.49, mean PPV score: 0.41). Next, by applying TaxiBGC on 2,650 metagenomes from the Human Microbiome Project and various case-control gut microbiome studies, we were able to associate BGCs (and their SMs) with different human body sites and with multiple gastrointestinal diseases, including Crohns disease and liver cirrhosis. In all, TaxiBGC provides an in silico platform to predict experimentally characterized BGCs and their SM production potential in metagenomic data while demonstrating important advantages over existing techniques. IMPORTANCECurrently available bioinformatics tools to identify BGCs from metagenomic sequencing data are limited in their predictive capability or ease of use to even computationally-oriented researchers. We present an automated computational pipeline called TaxiBGC, which predicts experimentally characterized BGCs (and infers their known SMs) in shotgun metagenomes by first considering the microbial species source. Through rigorous benchmarking techniques on simulated metagenomes, we show that TaxiBGC provides a significant advantage over existing methods. When demonstrating TaxiBGC on thousands of human microbiome samples, we associate BGCs encoding for bacteriocins with different human body sites and diseases, thereby elucidating a possible novel role of this antibiotic class in maintaining the stability of microbial ecosystems throughout the human body. Furthermore, we report for the first time gut microbial BGC associations shared amongst multiple pathologies. Ultimately, we expect our tool to facilitate future investigations into the chemical ecology of microbial communities across diverse niches and pathologies.

bioinformatics↗