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PubMed2025

Mining thermophile photosynthesis genes: a synthetic operon expressing Chloroflexota species reaction center genes in Rhodobacter sphaeroides.

Photosynthesis is the foundation of the vast majority of life systems, and therefore the most important bioenergetic process on earth, and the greatest diversity in photosynthetic systems are found in microorganisms. However, understanding of the biophysical and biochemical processes that transduce light to chemical energy has derived from the relatively small subset of proteins from microbes that are amenable to cultivation, in contrast to the huge number of microbial DNA sequences encoding proteins that catalyze the initial photochemical reactions that has been deposited in databases, such as from metagenomics. We describe the use of a Rhodobacter sphaeroides laboratory strain for expression of heterologous photosynthesis genes to demonstrate the feasibility of mining this resource, focusing on hot spring Chloroflexota gene sequences. Using a synthetic operon of genes, we produced a photochemically active complex of reaction center proteins in our biological system. We also present bioinformatic analyses of anoxygenic type II reaction center sequences from metagenomic samples collected from hot (42-90° C) springs available through the JGI IMG database, to generate a resource of diverse sequences that potentially are adapted to photosynthesis at such temperatures. These data provide a view into the natural diversity of anoxygenic photosynthesis, through a lens focused on high-temperature environments. The approach we took to express such genes can be applied for potential biotechnology purposes as well as for studies of fundamental catalytic properties of these heretofore inaccessible protein complexes.

Chloroflexota↗

PubMed2026

Glucose-responsive probiotics for glycaemic modulation in mice and monkeys.

Sustained and controlled delivery of glucose-lowering agents using engineered designer cells is recognized as an effective strategy for diabetes therapy1. However, current technologies rely on external signal control or have been programmed into mammalian cells using synthetic gene networks, which pose safety concerns arising from transplantation2,3. Here we developed an engineered oral-deliverable glucose-sensing and functional response probiotic living drug for 'sense-and-respond'-based control of diabetic blood glucose. We created a glucose sensor based on a synthetic gene circuit that incorporates the glucose-responsive transcriptional regulator HexR, coupled with a synthetic promoter. Upon oral administration of the engineered probiotics carrying the sensor, the cells reside temporarily in the intestine and regulate the expression of therapeutic transgenes in response to glucose levels that exceed the normal threshold. We show efficacy from the engineered probiotics for glycaemic control in multiple diabetic mouse and non-human primate models, demonstrating that long-term oral administration drives clear improvements in lipid profiles, while also attenuating development of multiple diabetic complications. Our probiotics-based living drug enables therapeutic dosing in response to real-time blood glucose levels, providing a programmable, orally deliverable sense-and-respond platform for metabolic therapy without transplantation.

Animals↗

PubMed2026

Recent advances in molecular mechanisms to improve the efficacy of CAR-T cell therapy for viral diseases, cancer, and autoimmune diseases.

Chimeric antigen receptor (CAR)-T cell therapy has transformed the treatment of hematological malignancies, yet its broader application to solid tumors, chronic viral infections, and autoimmune diseases remains constrained by antigen heterogeneity, immunosuppressive tissue microenvironments, T-cell exhaustion, limited persistence, and treatment-associated toxicities. These challenges have shifted the field from optimizing individual receptor constructs toward engineering CAR-T cells as programmable immune systems capable of adapting to diverse disease contexts. This review synthesizes recent advances in molecular engineering strategies that enhance CAR-T cell function beyond conventional receptor design. We discuss how receptor engineering, genome editing, transcriptional and epigenetic regulation, metabolic reprogramming, synthetic gene circuits, and safety-control platforms collectively reshape CAR-T cell fate, persistence, and therapeutic efficacy. Rather than functioning independently, these engineering strategies are increasingly integrated to generate context-specific cellular therapies capable of adapting to diverse disease environments, including cancer, autoimmune diseases, and chronic viral infections. We also highlight the potential for translation into clinical practice or clinical translation and discuss the major challenges associated with clinical implementation. Next-generation CAR-T therapies will increasingly integrate molecular engineering strategies or will rely on molecular engineering strategies to integrate antigen recognition, cellular fitness, immune regulation, and longevity rather than simply maximizing cytotoxic activity. Recent advances in programmable cellular engineering coupled with rigorous clinical evaluation as well as scalable manufacturing technologies or scalable manufacturing platforms in the treatment of other diseases beyond oncology will facilitate the development of safer, more durable, and broadly applicable cellular therapies.

Humans↗

PubMed2024

A PLA2 deletion mutant using CRISPR/Cas9 coupled to RNASeq reveals insect immune genes associated with eicosanoid signaling.

Eicosanoids mediate insect immune responses and synthesized by the catalytic activity of phospholipase A2 (PLA2). A uniquely encoded secretory PLA2 (sPLA2) is associated with immune responses of a lepidopteran insect, Spodoptera exigua. Its deletion mutant was generated using a CRISPR/Cas9 genome editing technology. Both wild and mutant lines were then immune-challenged, and the resulting transcripts were compared with their naïve transcripts by RNASeq using the Illumina-HiSeq platform. In total, 12,878 unigenes were further analyzed by differentially expressed gene tools. Over 69% of the expressed genes in S. exigua larvae are modulated in their expression levels by eicosanoids, recorded from CRISPR/Cas9 mutagenesis against an eicosanoid-synthetic gene, Se-sPLA2. Further, about 36% of the immune-associated genes are controlled by the eicosanoids in S. exigua. Indeed, the deletion mutant suffered significant immunosuppression in both cellular and humoral responses in response to bacterial challenge as well as severely reduced developmental and reproductive potentials.

Animals↗

PubMed2026

Development and optimization of T-ARMS PCR assays for detection of lethal haplotypes of TADA2A, UR1B, and PORL1B in pigs in Vietnam.

Marker-assisted selection has increasingly relied on single-nucleotide polymorphisms (SNPs) as robust genetic markers, particularly in livestock breeding programs. In pig farming, embryonic mortality significantly affects litter size, and SNPs in reference genes have been implicated as potential causal factors. We developed and optimized a tetra-primer amplification refractory mutation system (T-ARMS) PCR assay for rapid, cost-effective detection of SNPs in 3 candidate genes-TADA2A, PORL1B, URB1-that are associated with embryonic lethality and reproductive performance. Primer sets were designed based on known mutation sites and validated using synthetic gene constructs and porcine genomic DNA from pigs of Duroc and Landrace breeds. Optimization of annealing temperatures and primer concentration ratios yielded distinct and reproducible allele-specific amplicon patterns that were corroborated by PCR-RFLP and Sanger sequencing. Our T-ARMS PCR protocol, which requires minimal equipment and reduces processing time to <3 h, had high specificity and efficiency in differentiating wild-type, heterozygous, and homozygous mutant genotypes in 20 Duroc and 20 Landrace pigs. Our Tetra-ARMS PCR assay is a robust and economically viable tool for SNP genotyping in pig breeding programs, potentially contributing to the reduction of embryonic lethality and the improvement of overall reproductive outcomes.

Sus scrofa↗

PubMed2026

Hormone priming and metabolic engineering of phytohormone crosstalk in rice under combined biotic and abiotic stresses: a multi-omics perspective for climate-resilient crop development.

Rice (Oryza sativa L.) is the caloric backbone for more than half of humanity, yet it remains one of the most vulnerable crops to the simultaneous biotic and abiotic stresses exacerbated by climate change. Phytohormone priming and the complex crosstalk networks governed by transcription factor hubs like WRKY, MYB, and NAC serve as the central adaptive mechanism for stress resilience. This review synthesizes how multi-omics integration, including spatial and single-cell transcriptomics, is resolving the molecular architecture of hormonal priming and epigenetic stress memory. We critically evaluate advanced metabolic engineering and genome-editing strategies such as CRISPR-Cas9, base/prime editing, and synthetic gene circuits that enable precision modifications to decouple stress tolerance from historical yield penalties. Furthermore, we discuss the emerging roles of microbiome-assisted priming via synthetic consortia and the application of artificial intelligence and digital twins (continuously updated computational models of crop physiology) for predictive stress management. By integrating these diverse technological pillars, we propose a systems-level roadmap for developing climate-resilient rice cultivars capable of maintaining yield stability across a volatile combinatorial stress landscape. This synthesis provides a framework for translating mechanistic hormonal insights into field-applicable cultivars to ensure global food security.

CRISPR↗

PubMed2024

Over expression of modified Isomaltulose Synthase Gene II (ImSyGII) under single and double promoters drive unprecedented sugar contents in sugarcane.

Sugarcane has been grown all around the world to meet sugar demands for industrial sector. The current sugar recovery percentage in sugarcane cultivars is dismally low which demands scientific efforts for improvements. Multiple approaches were adopted to enhance sugar contents in commercial sugarcane plants in contrast to conventional plant breeding methods. The exploitation of biotechnological methods and exploration of isomaltulose synthetic genes presented a promising solution to increase the existing low level of sugar recovery percentage in Saccharum officinarum L. Isomaltulose synthase gene II was employed and integrated into plant expression vector driven under the leaf and stem specific promoters terminated by nopaline synthase gene in a cloning strategy shown in the present study. Three gene constructs were developed in various combinations driven under promoters Zea mays ubiquitin and Cestrum Yellow Leaf Curl virus in the single and double combined stacked system. The transformation was executed in multiple formats with single transformed events, double promoter transformation events and triple construct stacked promoters in sugarcane induced calli via the particle gene gun. The transformation of ImSyGII in sugarcane genotype HSF-240 was confirmed by molecular gene analysis while expression quantification was determined through Real Time PCR. Furthermore, HPLC was also done to harvest the increased amounts of Isomaltulose in transgenic sugarcane juice. The present work upheld the enhanced ImSyGII expression in leaves owing to the exploitation of ubiquitin, while the Cestrum Yellow Leaf Curl virus promoter enhanced gene expression in sugarcane stems. The employment of three gene constructs collectively produced elite sugar lines producing more than 78% enhancements in whole sugar recovery percentage. The mature internode proved highly efficient and receptive regarding the production of isomaltulose. Quantifications and sugar contents evaluations upheld an increased Brix ratio of transgenic sugarcane lines than control lines.

Saccharum↗

PubMed2026

CREAT: A CRISPR-Based Genome Trimming Strategy for Systematic Identification of Dispensable Regions and Rapid Genome Reduction.

The construction of minimal-genome microbes offers an ideal platform for understanding fundamental biological processes and synthetic biology, yet the research is hindered by incomplete lists of essential genes in microbes and by multiple rounds of genome trimming with a trial-and-error nature. To address this, we introduce CREAT (CRISPR-based genome trimming with a multi-homology-arm template)-a streamlined approach that integrates CRISPR-targeted genome cleavage and homology arm walking to classify essential from non-essential genomic subregions, thus providing the basis for predicting essential genes in a given organism. These essential genes were then assembled into synthetic gene cassettes for one-step replacement of the targeted non-deletable genomic regions for further genome trimming. Eight consecutive rounds of CREAT genome trimming achieved a 20.8% reduction in genome size in Saccharolobus islandicus. Furthermore, Cas9-based CREAT genome trimming was developed for Bacillus subtilis and Escherichia coli, with efficiency greatly enhanced by the λ-Red recombinase in the latter. Together, this iterative application of CREAT provides a scalable and generally applicable strategy for rapidly constructing minimal genomes across diverse microorganisms.

CRISPR-Cas Systems↗

PubMed2025

Improving the Annotations of JCVI-Syn3a Proteins.

The JCVI-Syn3 organism is a minimal organism derived from Mycoplasma mycoides capri, which is capable of self-replication. While the ancestor has 863 genes, the synthetic progeny has only 473, with 434 of these coding for proteins. Despite initial efforts to understand all functions of the organism, a significant number of these protein-coding genes still have unknown functions, and subsequent studies have been only partially successful in elucidating their roles. In this study, we employ our innovative method PROST to identify homologs and better understand these previously unidentified genes. PROST employs protein language embeddings and enables the identification of remote homologs with as low as 16% sequence identity. PROST successfully finds functionally annotated homologs for 93% of the minimal genome with a high level of accuracy, both confirming previously identified functions, as well as proposing new functions for others. The results of our study can be accessed at https://bit.ly/prost-syn3a .

Molecular Sequence Annotation↗

PubMed2016

Design and synthesis of a minimal bacterial genome.

We used whole-genome design and complete chemical synthesis to minimize the 1079-kilobase pair synthetic genome of Mycoplasma mycoides JCVI-syn1.0. An initial design, based on collective knowledge of molecular biology combined with limited transposon mutagenesis data, failed to produce a viable cell. Improved transposon mutagenesis methods revealed a class of quasi-essential genes that are needed for robust growth, explaining the failure of our initial design. Three cycles of design, synthesis, and testing, with retention of quasi-essential genes, produced JCVI-syn3.0 (531 kilobase pairs, 473 genes), which has a genome smaller than that of any autonomously replicating cell found in nature. JCVI-syn3.0 retains almost all genes involved in the synthesis and processing of macromolecules. Unexpectedly, it also contains 149 genes with unknown biological functions. JCVI-syn3.0 is a versatile platform for investigating the core functions of life and for exploring whole-genome design.

Artificial Cells↗

PubMed2026

Leaf Rust in Rye: From Pathogen Biology to Host Defense and Resistance Breeding.

Leaf rust (LR), caused by Puccinia recondita f. sp. secalis (Prs), is considered one of the most dangerous rye (Secale cereale L.) diseases, causing yield losses exceeding 35%. This review summarizes all currently available data about this disease: pathogen characteristics (including its life cycle, natural variation, and disease symptoms), resistance resources, and the background of the plant immune response at the genome, transcriptome, and metabolome levels. The research conducted so far has allowed for the identification of dozens of genes that play a significant role in the rye immune response to Prs infection. Among them, genes encoding NBS-LRR proteins (including SECCE1Rv1G0014220, the most likely Pr3 candidate), glycosyltransferase, β-1,3-glucanase, 1-deoxy-D-xylulose 5-phosphate synthase, β-1,3-glucanase, UDP-glycosyltransferase, pathogenesis-related protein 1, ammonium transporter, and cytochrome P450 enzymes are candidates for seedling and all-stage resistance, whereas ScLr_ABC25 currently represents the most promising candidate associated with adult-plant resistance. Among the metabolites differentially accumulated in response to Prs, those related to phenylpropanoids, diterpenoids, and thiamine branches seem to play the most important role in the immune response. Finally, we suggest how the knowledge acquired so far about the rye-Prs interaction can be used in modern breeding programs aimed at obtaining cultivars with enhanced resistance to LR, such as through the use of functional gene markers and/or metabolic biomarker-assisted selection and, in the more distant future, by developing and applying new genomic techniques for precise editing of resistance and susceptibility genes, engineering synthetic immune receptors and decoys, and pan-genomic exploration for identification of rare or lineage-specific resistance alleles. [Formula: see text] Copyright © 2026 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Plant Diseases↗

PubMed2026

A voyage of reprogrammable metabolic bioengineering reshapes plant defense: from editing tools to synthetic systems.

Metabolic bioengineering has emerged as a transformative approach for reshaping plant defense by targeting intrinsic biosynthetic pathways to enhance immunity in modern agriculture. Moving beyond proof-of-concept metabolomics to broad-spectrum programmable pathway engineering addresses gaps in plant rational design and optimizes resilience in response to diverse environmental cues. This review aims to comprehensively highlight the transition of innovative approaches to phenolics, alkaloids, flavonoids, terpenoids, and benzoxazinoids, inferring adaptive reprogramming that mediates the growth-defense balance and functions as molecular sentinels in plants. Furthermore, decoding the volatile metabolome reveals a dynamic signaling interface that influences defense responses and stress-induced plant-microbe interactions, with the shikimate, jasmonate, and salicylate pathways functioning as central hubs for microbial deterrence and priming immune memory. Recent developments in multi-scalar genome-editing strategies, including CRISPR-driven combinatorial edits, enzyme orthogonalization, fluxomics, and spatially resolved multi-omics, reconfigure central and specialized metabolic fluxes toward improved defense function and regulation. Additionally, emerging tools, such as WUSCHEL2 and BABY BOOM transcriptional modules, and artificial engineering strategies integrating deep learning model-driven predictions facilitate rapid development of synthetic genetic circuits and support a predictive engineering of plants. Moreover, Mass spectrometry imaging (MSI) in spatial metabolomics enables to obtain structures and locations of unidentified endogenous metabolites within cells and tissues. Overall, this review emphasizes a diverse array of primary and secondary metabolites, spanning molecular concepts to recent advances in plant immune mechanisms. It also illustrates new frontiers in programmable metabolic engineering that accelerate the understanding of plant-microbe-metabolite cross-talks, offering strategies to improve plant resistance and advance sustainable agricultural solutions.

metabolic bioengineering↗

PubMed2026

Using cancer profiles to identify synthetic lethal therapeutic targets and predictive biomarkers in cancer gene dependency data.

MOTIVATION: Large scale loss-of-function screens utilising CRISPR or siRNA can provide profound insights into the importance of individual genes for the survival of a cancer cell and can drive the identification of therapeutic targets and biomarkers, and the development of targeted drugs. However, the analysis of these data and the substantial bodies of metadata that relate to them, is technically challenging and typically requires substantial expertise in data science and computer coding. RESULTS: To facilitate the analysis of cancer gene dependency data by cancer biologists and clinical scientists, we have developed DepMine-a computational toolkit providing a powerful system for framing complex queries relating cancer gene dependency to the underlying genetic changes that occur in cancer cells. DepMine identifies synthetic lethal relationships between putative target genes and complex 'cancer profiles' built from user-specified combinations of mutations, copy-number variation, and expression levels, and can refine these to optimal biomarker definitions for target dependency. AVAILABILITY: The Python implementation of DepMine and associated data files can be obtained at https://github.com/UOSbioinformaticslab/depmine and is free to academics and Not-For-Profit organisations. The DepMine release referenced in this paper is archived as DOI: 10.5281/zenodo.19570601.

Humans↗

PubMed2026

Evolving conservation: The role of unconventional approaches to restore contemporary vertebrate populations and genomic biodiversity.

Conservation biology and restoration ecology are two essential yet distinct disciplines that address the growing challenge of biodiversity loss. Traditionally, these fields have relied on ecological principles and management practices aimed at protecting or reestablishing natural systems. The crisis is no longer just ecological; it is evolutionary and genomic. The accelerating pace of environmental change has outstripped the capacity of conventional approaches, creating a pressing need for innovative solutions. Biotechnology offers potentially transformative tools that can enhance the effectiveness and precision of both conservation and restoration efforts, especially for species where conventional conservation approaches have proved insufficient. Techniques such as genetic rescue, synthetic biology, and gene editing are increasingly being explored to address critical challenges, such as invasive species control, genetic diversity loss, and habitat fragmentation, to both invigorate endangered species and restore historical biodiversity. Despite its promise, the integration of biotechnology into conservation and restoration has raised ethical, ecological, and regulatory concerns. These include ecological unpredictability and public resistance to genetic interventions in wild populations. This perspective examines the current landscape of biotechnological applications in conservation and restoration, highlighting successful case studies, ongoing controversies, and optimism for additional progress. We argue that thoughtful, transparent integration of biotechnology that is grounded in ecological knowledge and stakeholder engagement can reconcile the goals of conservation and restoration. As ecosystems face mounting pressures, biotech-enabled strategies may prove essential for fostering resilience and ensuring long-term ecological sustainability.

Conservation of Natural Resources↗

PubMed2026

Host-aware Identification of Intrinsic Gene Expression Biopart Parameters using Combinatorial Libraries.

Model-based design in synthetic biology is limited because bioparts are typically characterised by relative metrics that vary across genetic and physiological contexts. To address this, we introduce a host-aware framework for quantitatively characterising bioparts in combinatorial libraries of plasmid-based constitutive expression constructs. The approach integrates a digital twin of Escherichia coli, conditioned on measured growth rate, with model-in-the-loop parameter identification to separate biopart-associated properties from host-dependent effects. Using structured combinatorial libraries, we identify mechanistically interpretable, transferable parameters for plasmid origins, promoters and ribosome binding sites. In particular, we define an intrinsic translation initiation capacity that captures the dominant RBS-associated contribution to translation while context-dependent expression emerges from host physiology and local sequence context. The resulting parameterisation accurately predicts protein synthesis across physiological conditions, supports incremental library expansion, and reveals localised failures of modularity, providing a scalable foundation for predictive host-aware design in synthetic biology.

Escherichia coli↗

PubMed2021

Towards a CRISPeR understanding of homologous recombination with high-throughput functional genomics.

CRISPR-dependent genome editing enables the study of genes and mutations on a large scale. Here we review CRISPR-based functional genomics technologies that generate gene knockouts and single nucleotide variants (SNVs) and discuss how their use has provided new important insights into the function of homologous recombination (HR) genes. In particular, we highlight discoveries from CRISPR screens that have contributed to define the response to PARP inhibition in cells deficient for the HR genes BRCA1 and BRCA2, uncover genes whose loss causes synthetic lethality in combination with BRCA1/2 deficiency, and characterize the function of BRCA1/2 SNVs of uncertain clinical significance. Further use of these approaches, combined with next-generation CRISPR-based technologies, will aid to dissect the genetic network of the HR pathway, define the impact of HR mutations on cancer etiology and treatment, and develop novel targeted therapies for HR-deficient tumors.

Gene Regulatory Networks↗

PubMed2026

The transgenic Vip3A poplar plant confers high resistance against Hyphantria cunea Drury.

Poplar is severely damaged by Hyphantria cunea (fall webworm), which significantly reduces tree productivity. However, conventional pest management methods are largely ineffective against fall webworm infestation. In this study, we demonstrated that the Vip3A protein possesses high insecticidal activity against H. cunea by overexpressing a synthetic THI1-Vip3A gene in poplar plants. A dicot codon-optimized Vip3A gene, fused with the THI1 chloroplast signal peptide sequence, was chemically synthesized and introduced into the poplar cv. '741' genome via Agrobacterium-mediated transformation. PCR, RT-PCR, and ELISA analyses confirmed the integration and successful expression of the transgene at both the mRNA and protein levels. The Vip3A protein concentration in chloroplasts was approximately 4.8-fold higher than in the whole leaf extract, indicating that the Vip3A protein was successfully targeted to and accumulated within the chloroplasts by the THI1 signal peptide. Subsequently, four transgenic lines with high Vip3A expression were subjected to H. cunea infestation. Compared to wild-type plants, these four transgenic lines exhibited significantly higher resistance, resulting in pest mortality rates exceeding 95% and significantly reduced leaf damage. Together, these results indicate that Vip3A possesses high insecticidal activity against H. cunea. Therefore, transgenic THI1-Vip3A poplar plants can serve as valuable germplasm for breeding poplar cultivars with high resistance to H. cunea infestation.

Plants, Genetically Modified↗

PubMed2026

Efficient scarless gene editing in Pichia pastoris via survival stress-based intramolecular homologous recombination.

To overcome low efficiency and/or genomic instability induced by DNA cleavage in current genome-editing approaches, a novel pop-in/pop-out-based editing system was developed for Pichia pastoris. An ingenious arrangement of components leads to a more efficient screening by permitting the only type of DNA recombination under defined pressure conditions, in terms of the overall efficiency of gene editing, the system virtually depends on the integration efficiency mediated by single-crossover recombination. It does not rely on exogenous recombinases or programmable nucleases such as Cas9, thereby avoiding nuclease induced double strand breaks and associated off target mutations or chromatin fatigue. This strategy preserves high editing efficiency with no modification to the host's inherent genetic properties. Relative to site-specific recombination methods, its dual MazF counterselection enables seamless editing, avoiding scar sequence-induced genomic instability. In this study, nearly 100% knockout efficiency and over 86.67% integration efficiency were achieved in the described experimental cases with this system, which provides a new gene-editing tool for synthetic biology in Pichia pastoris.

Efficient scarless editing↗