Pub Date : 2026-01-30DOI: 10.1016/j.biotechadv.2026.108817
Mruthula Rammohan, Kevin V. Solomon
{"title":"Strategies for controlled assembly of rod-shaped viral particles","authors":"Mruthula Rammohan, Kevin V. Solomon","doi":"10.1016/j.biotechadv.2026.108817","DOIUrl":"https://doi.org/10.1016/j.biotechadv.2026.108817","url":null,"abstract":"","PeriodicalId":8946,"journal":{"name":"Biotechnology advances","volume":"7 1","pages":""},"PeriodicalIF":16.0,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146089429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-27DOI: 10.1016/j.biotechadv.2026.108816
Duodong Wang, Na Wang, Houhui Song, Chenggang Xu
{"title":"Corrigendum to “Precise control of transcriptional stoichiometry in bacteria: From mechanisms to synthetic biology applications” [Biotechnology Advances 86 (2026) 108748]","authors":"Duodong Wang, Na Wang, Houhui Song, Chenggang Xu","doi":"10.1016/j.biotechadv.2026.108816","DOIUrl":"https://doi.org/10.1016/j.biotechadv.2026.108816","url":null,"abstract":"","PeriodicalId":8946,"journal":{"name":"Biotechnology advances","volume":"43 1","pages":""},"PeriodicalIF":16.0,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146056260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-26DOI: 10.1016/j.biotechadv.2026.108812
Xuenan Shui , Chen Deng , Xiaoman He , Daolun Liang , Dekui Shen , Wangbiao Guo , Wenlei Zhu , Xue Ning , Richen Lin
Semi-artificial photosynthesis, integrating biocatalysts with photosensitive materials to enable self-photosensitization in non-photosynthetic microorganisms, is a rapidly evolving interdisciplinary field for solar-driven energy and chemical production using air, water, and sunlight. However, the efficiency of such constructed biocatalysts is often impeded by the limited biocompatibility, prevalent biotoxicity, and narrow spectral response associated with photosensitive materials. Quantum dots (QDs), zero-dimensional crystals, exhibit favorable photoexcitation properties and enhanced biocompatibility, providing essential reducing equivalents for microbial metabolisms. This review examines recent advances in semi-artificial photosynthesis, focusing on the self-assembly of microorganisms in conjunction with QDs. It highlights the biocompatible, directional design of QDs and explores the underlying mechanisms of electron and energy transfer within the microbe-QDs complexes. By leveraging the synergies of solar absorption and biocatalytic activity, this review discusses the future trajectory and potential improvements in semi-artificial photosynthesis, offering a paradigm-shifting approach to sustainable solar energy utilization. The solar-powered QDs-biocatalyst biohybrids for semi-artificial photosynthesis are projected to emerge as a transformative technology in advanced energy production.
{"title":"Solar-powered quantum dot-biocatalyst biohybrids for semi-artificial photosynthesis: Advances in interfacial design and energy-mass transfer optimisation","authors":"Xuenan Shui , Chen Deng , Xiaoman He , Daolun Liang , Dekui Shen , Wangbiao Guo , Wenlei Zhu , Xue Ning , Richen Lin","doi":"10.1016/j.biotechadv.2026.108812","DOIUrl":"10.1016/j.biotechadv.2026.108812","url":null,"abstract":"<div><div>Semi-artificial photosynthesis, integrating biocatalysts with photosensitive materials to enable self-photosensitization in non-photosynthetic microorganisms, is a rapidly evolving interdisciplinary field for solar-driven energy and chemical production using air, water, and sunlight. However, the efficiency of such constructed biocatalysts is often impeded by the limited biocompatibility, prevalent biotoxicity, and narrow spectral response associated with photosensitive materials. Quantum dots (QDs), zero-dimensional crystals, exhibit favorable photoexcitation properties and enhanced biocompatibility, providing essential reducing equivalents for microbial metabolisms. This review examines recent advances in semi-artificial photosynthesis, focusing on the self-assembly of microorganisms in conjunction with QDs. It highlights the biocompatible, directional design of QDs and explores the underlying mechanisms of electron and energy transfer within the microbe-QDs complexes. By leveraging the synergies of solar absorption and biocatalytic activity, this review discusses the future trajectory and potential improvements in semi-artificial photosynthesis, offering a paradigm-shifting approach to sustainable solar energy utilization. The solar-powered QDs-biocatalyst biohybrids for semi-artificial photosynthesis are projected to emerge as a transformative technology in advanced energy production.</div></div>","PeriodicalId":8946,"journal":{"name":"Biotechnology advances","volume":"88 ","pages":"Article 108812"},"PeriodicalIF":12.5,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-23DOI: 10.1016/j.biotechadv.2026.108810
Shu-Tong Wu , Xiao-Chuan Zheng , Chuan Chen , Zhong-Fang Sun , Kai-Kai Wu , De-Feng Xing , Shan-Shan Yang , Ai-Jie Wang , Nan-Qi Ren , Lei Zhao
The bioconversion of carbon dioxide (CO2) into polyhydroxyalkanoates (PHAs) represents a transformative paradigm at the nexus of climate mitigation and sustainable manufacturing, offering a route to valorize a greenhouse gas (GHG) liability into high-value, biodegradable polymers. This critical review provides a systematic analysis of the technological landscape for CO2-to-PHA bioconversion, comparing the two dominant strategies: direct, single-organism autotrophic routes and modular, two-step hybrid systems that couple abiotic CO2 reduction with microbial fermentation. While direct autotrophic processes offer conceptual simplicity, they exhibit a wide performance gap: photoautotrophs are typically constrained by low volumetric productivities (<10 mg L−1 h−1) due to light limitation, whereas optimized chemoautotrophic systems (e.g., Cupriavidus necator) can achieve significantly higher rates of up to 1.55 g L−1 h−1. In contrast, two-step hybrid systems show promise for modularity by decoupling CO2 activation from biosynthesis. However, current integrated platforms generally demonstrate productivities in the milligram range (e.g., <25 mg L−1 h−1). Critical bottlenecks, specifically inefficient gas-liquid mass transfer (low kLa), catalyst instability (<100 h lifetime), and the high energy penalty of downstream separation, persist across all platforms. Currently keeping production costs ($3–8/kg) well above the economic threshold. The path forward requires a strategic roadmap focused on three pillars: dynamic metabolic control via synthetic biology, process intensification using advanced reactor engineering, and holistic system integration. The successful convergence of these disciplines, supported by robust techno-economic frameworks and life-cycle assessments, is critical to transforming CO2-to-PHA bioconversion from a promising concept into a cornerstone technology for the circular bioeconomy.
{"title":"Biomanufacturing polyhydroxyalkanoates from CO2: A critical review of advances, challenges, and solutions for autotrophic and hybrid systems","authors":"Shu-Tong Wu , Xiao-Chuan Zheng , Chuan Chen , Zhong-Fang Sun , Kai-Kai Wu , De-Feng Xing , Shan-Shan Yang , Ai-Jie Wang , Nan-Qi Ren , Lei Zhao","doi":"10.1016/j.biotechadv.2026.108810","DOIUrl":"10.1016/j.biotechadv.2026.108810","url":null,"abstract":"<div><div>The bioconversion of carbon dioxide (CO<sub>2</sub>) into polyhydroxyalkanoates (PHAs) represents a transformative paradigm at the nexus of climate mitigation and sustainable manufacturing, offering a route to valorize a greenhouse gas (GHG) liability into high-value, biodegradable polymers. This critical review provides a systematic analysis of the technological landscape for CO<sub>2</sub>-to-PHA bioconversion, comparing the two dominant strategies: direct, single-organism autotrophic routes and modular, two-step hybrid systems that couple abiotic CO<sub>2</sub> reduction with microbial fermentation. While direct autotrophic processes offer conceptual simplicity, they exhibit a wide performance gap: photoautotrophs are typically constrained by low volumetric productivities (<10 mg L<sup>−1</sup> h<sup>−1</sup>) due to light limitation, whereas optimized chemoautotrophic systems (e.g., <em>Cupriavidus necator</em>) can achieve significantly higher rates of up to 1.55 g L<sup>−1</sup> h<sup>−1</sup>. In contrast, two-step hybrid systems show promise for modularity by decoupling CO<sub>2</sub> activation from biosynthesis. However, current integrated platforms generally demonstrate productivities in the milligram range (e.g., <25 mg L<sup>−1</sup> h<sup>−1</sup>). Critical bottlenecks, specifically inefficient gas-liquid mass transfer (low <em>k</em><sub>L</sub><em>a</em>), catalyst instability (<100 h lifetime), and the high energy penalty of downstream separation, persist across all platforms. Currently keeping production costs ($3–8/kg) well above the economic threshold. The path forward requires a strategic roadmap focused on three pillars: dynamic metabolic control via synthetic biology, process intensification using advanced reactor engineering, and holistic system integration. The successful convergence of these disciplines, supported by robust techno-economic frameworks and life-cycle assessments, is critical to transforming CO<sub>2</sub>-to-PHA bioconversion from a promising concept into a cornerstone technology for the circular bioeconomy.</div></div>","PeriodicalId":8946,"journal":{"name":"Biotechnology advances","volume":"88 ","pages":"Article 108810"},"PeriodicalIF":12.5,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-23DOI: 10.1016/j.biotechadv.2026.108811
Rodrigo Andler , Daisuke Kasai
Rubber waste is one of the most persistent solid wastes of our times, mostly represented by end-of-life tires. While the biological origin of natural rubber makes it biodegradable, many tire components are not, and they make enzymatic attack by microorganisms extremely difficult. Despite the great multi-enzymatic catabolic capacity of various bacteria and fungi, there are currently no organisms or enzymes capable of effectively degrading vulcanized tire waste. However, biotechnological advances in enzymatic rubber degradation processes are opening new opportunities. The diversity of rubber oxygenases, the transcriptional regulation of their corresponding genes, and the downstream oxidation of oligo-isoprene aldehydes are also discussed in this review. This biotransformation is positioned as a potential enzymatic upcycling of rubber wastes. Although there have been significant advances at the molecular and bioprocess levels, there are several obstacles that must be solved to propose an efficient and scalable process.
{"title":"Advances and challenges in enzymatic rubber degradation: Exploring genetic, molecular, and biotechnological aspects","authors":"Rodrigo Andler , Daisuke Kasai","doi":"10.1016/j.biotechadv.2026.108811","DOIUrl":"10.1016/j.biotechadv.2026.108811","url":null,"abstract":"<div><div>Rubber waste is one of the most persistent solid wastes of our times, mostly represented by end-of-life tires. While the biological origin of natural rubber makes it biodegradable, many tire components are not, and they make enzymatic attack by microorganisms extremely difficult. Despite the great multi-enzymatic catabolic capacity of various bacteria and fungi, there are currently no organisms or enzymes capable of effectively degrading vulcanized tire waste. However, biotechnological advances in enzymatic rubber degradation processes are opening new opportunities. The diversity of rubber oxygenases, the transcriptional regulation of their corresponding genes, and the downstream oxidation of oligo-isoprene aldehydes are also discussed in this review. This biotransformation is positioned as a potential enzymatic upcycling of rubber wastes. Although there have been significant advances at the molecular and bioprocess levels, there are several obstacles that must be solved to propose an efficient and scalable process.</div></div>","PeriodicalId":8946,"journal":{"name":"Biotechnology advances","volume":"88 ","pages":"Article 108811"},"PeriodicalIF":12.5,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-21DOI: 10.1016/j.biotechadv.2026.108809
Adam A. Aboalroub
Nuclear Magnetic Resonance (NMR) spectroscopy is a crucial tool in structural biology, uniquely capable of revealing protein structure, dynamics, and interactions at atomic resolution in environments that closely resemble native conditions. The combination of key methodological breakthroughs—including strategic isotopic labeling, stronger magnetic fields, cryogenic probes, and advanced pulse sequences—has established NMR as the definitive method for gaining atomic-level insights into complex biomolecules, especially pathogenic proteins involved in disease. These advances enable various NMR techniques, from high-resolution solution and solid-state NMR (ssNMR) for insoluble assemblies to in-cell NMR. Beyond structural analysis, NMR provides robust quantitative performance, high reproducibility, and rich structural information, making it a valuable platform for biomolecular analysis and metabolomics. This review aims to provide a comprehensive overview of these critical roles, with a particular emphasis on the transformative influence of integrating Artificial Intelligence (AI) into NMR techniques to accelerate metabolomics-based biomarker discovery for various diseases and conditions.
{"title":"Advances in NMR Spectroscopy for biological systems: Principles, techniques, and their growing scope","authors":"Adam A. Aboalroub","doi":"10.1016/j.biotechadv.2026.108809","DOIUrl":"10.1016/j.biotechadv.2026.108809","url":null,"abstract":"<div><div>Nuclear Magnetic Resonance (NMR) spectroscopy is a crucial tool in structural biology, uniquely capable of revealing protein structure, dynamics, and interactions at atomic resolution in environments that closely resemble native conditions. The combination of key methodological breakthroughs—including strategic isotopic labeling, stronger magnetic fields, cryogenic probes, and advanced pulse sequences—has established NMR as the definitive method for gaining atomic-level insights into complex biomolecules, especially pathogenic proteins involved in disease. These advances enable various NMR techniques, from high-resolution solution and solid-state NMR (ssNMR) for insoluble assemblies to in-cell NMR. Beyond structural analysis, NMR provides robust quantitative performance, high reproducibility, and rich structural information, making it a valuable platform for biomolecular analysis and metabolomics. This review aims to provide a comprehensive overview of these critical roles, with a particular emphasis on the transformative influence of integrating Artificial Intelligence (AI) into NMR techniques to accelerate metabolomics-based biomarker discovery for various diseases and conditions.</div></div>","PeriodicalId":8946,"journal":{"name":"Biotechnology advances","volume":"88 ","pages":"Article 108809"},"PeriodicalIF":12.5,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-19DOI: 10.1016/j.biotechadv.2026.108807
Aoyun Geng , Chunyan Cui , Zhenjie Luo , Junlin Xu , Yajie Meng , Feifei Cui , Leyi Wei , Quan Zou , Zilong Zhang
The rapid development of spatial multi-omics technologies has enabled the simultaneous acquisition of transcriptomic, proteomic, and epigenomic information from the same tissue section. However, substantial differences in distributional properties, data dimensionality, and noise levels across modalities, together with the inherent sparsity and incompleteness of spatial information, pose major challenges for data integration and modeling. In recent years, deep learning–based spatial multi-omics integration algorithms have emerged rapidly, offering new approaches for constructing unified latent representations and achieving cross-modal fusion. In this review, we systematically summarize existing spatial multi-omics integration methods for the first time, categorizing and comparing them from two perspectives. We not only systematically surveyed the datasets employed by these methods, but also highlighted the key downstream analytical tasks they support, and further summarized the major challenges currently faced in spatial multi-omics integration research. Furthermore, we compare the strengths and limitations of different approaches to assist researchers in selecting appropriate methods more efficiently, thereby advancing the application of spatial multi-omics in uncovering multilayer regulatory mechanisms of tissue microenvironments and disease processes.
{"title":"Computational methods for spatial multi-omics integration","authors":"Aoyun Geng , Chunyan Cui , Zhenjie Luo , Junlin Xu , Yajie Meng , Feifei Cui , Leyi Wei , Quan Zou , Zilong Zhang","doi":"10.1016/j.biotechadv.2026.108807","DOIUrl":"10.1016/j.biotechadv.2026.108807","url":null,"abstract":"<div><div>The rapid development of spatial multi-omics technologies has enabled the simultaneous acquisition of transcriptomic, proteomic, and epigenomic information from the same tissue section. However, substantial differences in distributional properties, data dimensionality, and noise levels across modalities, together with the inherent sparsity and incompleteness of spatial information, pose major challenges for data integration and modeling. In recent years, deep learning–based spatial multi-omics integration algorithms have emerged rapidly, offering new approaches for constructing unified latent representations and achieving cross-modal fusion. In this review, we systematically summarize existing spatial multi-omics integration methods for the first time, categorizing and comparing them from two perspectives. We not only systematically surveyed the datasets employed by these methods, but also highlighted the key downstream analytical tasks they support, and further summarized the major challenges currently faced in spatial multi-omics integration research. Furthermore, we compare the strengths and limitations of different approaches to assist researchers in selecting appropriate methods more efficiently, thereby advancing the application of spatial multi-omics in uncovering multilayer regulatory mechanisms of tissue microenvironments and disease processes.</div></div>","PeriodicalId":8946,"journal":{"name":"Biotechnology advances","volume":"87 ","pages":"Article 108807"},"PeriodicalIF":12.5,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146000872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-19DOI: 10.1016/j.biotechadv.2026.108806
Yi Shi , Lefei Wang , Yao Chen , Ling Jiang
Covalent bond–forming peptide tagging systems have emerged as powerful and versatile tools across a broad spectrum of biological and biotechnological applications. This review systematically summarizes the origins, molecular mechanisms of intramolecular covalent bond formation, major classes, and design strategies of peptide tagging systems. Based on their underlying chemistry, current systems are primarily categorized into isopeptide-bond-based and ester-bond-based platforms, both of which have demonstrated prominent utility in protein cyclization as well as in vivo and in vitro multi-enzyme assembly. Beyond these applications, isopeptide-bond-forming systems have been widely adopted as robust purification tags, whereas ester-bond-based systems offer unique opportunities for pH-responsive modulation of enzyme activity. Collectively, peptide tagging systems based on either isopeptide or ester bond formation represent an expanding and highly efficient toolkit for biotechnology. Continued advances in their design and application are expected to further broaden their functional scope and provide innovative solutions for future developments in protein engineering and related fields.
{"title":"Recent advances in the covalent-bond-based peptide tagging systems and their applications","authors":"Yi Shi , Lefei Wang , Yao Chen , Ling Jiang","doi":"10.1016/j.biotechadv.2026.108806","DOIUrl":"10.1016/j.biotechadv.2026.108806","url":null,"abstract":"<div><div>Covalent bond–forming peptide tagging systems have emerged as powerful and versatile tools across a broad spectrum of biological and biotechnological applications. This review systematically summarizes the origins, molecular mechanisms of intramolecular covalent bond formation, major classes, and design strategies of peptide tagging systems. Based on their underlying chemistry, current systems are primarily categorized into isopeptide-bond-based and ester-bond-based platforms, both of which have demonstrated prominent utility in protein cyclization as well as <em>in vivo</em> and <em>in vitro</em> multi-enzyme assembly. Beyond these applications, isopeptide-bond-forming systems have been widely adopted as robust purification tags, whereas ester-bond-based systems offer unique opportunities for pH-responsive modulation of enzyme activity. Collectively, peptide tagging systems based on either isopeptide or ester bond formation represent an expanding and highly efficient toolkit for biotechnology. Continued advances in their design and application are expected to further broaden their functional scope and provide innovative solutions for future developments in protein engineering and related fields.</div></div>","PeriodicalId":8946,"journal":{"name":"Biotechnology advances","volume":"88 ","pages":"Article 108806"},"PeriodicalIF":12.5,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146000541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-19DOI: 10.1016/j.biotechadv.2026.108808
Ran You , Xueqin Lv , Yan Zhang , Jian Chen , Long Liu
Glucose-6-phosphate (G-6-P) and fructose-6-phosphate (F-6-P), which are located upstream of glycolysis, are crucial node compounds that provide carbon skeletons and supply energy for cell growth. De novo microbial synthesis of functional carbohydrates involves the derivatization of G-6-P and F-6-P. It is often associated with negative growth effects, creating challenges for efficient production. In this review, the main derivatization reactions with G-6-P and F-6-P as precursors were divided into three categories: the IAD (Isomerization And Dephosphorylation) module, the FGF (F-6-P to GDP-Fucose) module, and the FAA (F-6-P transAcetylation and transAmination) module. The representative functional carbohydrates of these pathways were briefly introduced, and pathway reconstruction and optimization for these carbohydrates were summarized. In addition, advances in central carbon metabolism regulation for G-6-P and F-6-P redirection were classified and summarized. Finally, the synthesis of functional carbohydrates by microbial redirection of G-6-P and F-6-P was investigated. This review facilitates the understanding of strategies and core principles involved in glycolytic node G-6-P and F-6-P redirection and the de novo biosynthesis of functional carbohydrate derivatives. It has significant implications for constructing efficient microbial cell factories that redirect G-6-P and F-6-P to derivatives and enable their industrial production.
{"title":"Biosynthesis of functional carbohydrates from glycolytic node precursors glucose-6-phosphate and fructose-6-phosphate: Advances and prospects","authors":"Ran You , Xueqin Lv , Yan Zhang , Jian Chen , Long Liu","doi":"10.1016/j.biotechadv.2026.108808","DOIUrl":"10.1016/j.biotechadv.2026.108808","url":null,"abstract":"<div><div>Glucose-6-phosphate (G-6-P) and fructose-6-phosphate (F-6-P), which are located upstream of glycolysis, are crucial node compounds that provide carbon skeletons and supply energy for cell growth. <em>De novo</em> microbial synthesis of functional carbohydrates involves the derivatization of G-6-P and F-6-P. It is often associated with negative growth effects, creating challenges for efficient production. In this review, the main derivatization reactions with G-6-P and F-6-P as precursors were divided into three categories: the IAD (<strong>I</strong>somerization <strong>A</strong>nd <strong>D</strong>ephosphorylation) module, the FGF (<strong>F</strong>-6-P to <strong>G</strong>DP-<strong>F</strong>ucose) module, and the FAA (<strong>F</strong>-6-P trans<strong>A</strong>cetylation and trans<strong>A</strong>mination) module. The representative functional carbohydrates of these pathways were briefly introduced, and pathway reconstruction and optimization for these carbohydrates were summarized. In addition, advances in central carbon metabolism regulation for G-6-P and F-6-P redirection were classified and summarized. Finally, the synthesis of functional carbohydrates by microbial redirection of G-6-P and F-6-P was investigated. This review facilitates the understanding of strategies and core principles involved in glycolytic node G-6-P and F-6-P redirection and the <em>de novo</em> biosynthesis of functional carbohydrate derivatives. It has significant implications for constructing efficient microbial cell factories that redirect G-6-P and F-6-P to derivatives and enable their industrial production.</div></div>","PeriodicalId":8946,"journal":{"name":"Biotechnology advances","volume":"87 ","pages":"Article 108808"},"PeriodicalIF":12.5,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146001550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-18DOI: 10.1016/j.biotechadv.2026.108805
Jiahao Wang , Guangjie Liang , Zixuan Wang , Cong Gao , Guipeng Hu , Liming Liu , Jing Wu
Methanol is a highly promising feedstock for biomanufacturing owing to its broad availability, low cost, and high energy density. Methylotrophic fermentations have been exploited to produce diverse fuels, chemicals, and materials. However, although such processes have been practiced for decades, their applications have been constrained by low methanol assimilation efficiency, insufficient cellular energy and reducing equivalents supply, the cytotoxicity of methanol and its intermediates, and inadequate robustness of chassis strains. In this review, progress is synthesized along four pillars for constructing high-performance methanol bio-converting cell factories: methanol assimilation pathways, energy-supply strategies, tolerance-enhancement approaches, and metabolic engineering for chemical synthesis, with the aim of informing the rational design and construction of efficient methanol bio-converting cell factories.
{"title":"Construction and applications of methanol bio-converting cell factories","authors":"Jiahao Wang , Guangjie Liang , Zixuan Wang , Cong Gao , Guipeng Hu , Liming Liu , Jing Wu","doi":"10.1016/j.biotechadv.2026.108805","DOIUrl":"10.1016/j.biotechadv.2026.108805","url":null,"abstract":"<div><div>Methanol is a highly promising feedstock for biomanufacturing owing to its broad availability, low cost, and high energy density. Methylotrophic fermentations have been exploited to produce diverse fuels, chemicals, and materials. However, although such processes have been practiced for decades, their applications have been constrained by low methanol assimilation efficiency, insufficient cellular energy and reducing equivalents supply, the cytotoxicity of methanol and its intermediates, and inadequate robustness of chassis strains. In this review, progress is synthesized along four pillars for constructing high-performance methanol bio-converting cell factories: methanol assimilation pathways, energy-supply strategies, tolerance-enhancement approaches, and metabolic engineering for chemical synthesis, with the aim of informing the rational design and construction of efficient methanol bio-converting cell factories.</div></div>","PeriodicalId":8946,"journal":{"name":"Biotechnology advances","volume":"87 ","pages":"Article 108805"},"PeriodicalIF":12.5,"publicationDate":"2026-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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