Biotechnology advances最新文献_第2页

Metabolomics applications in lactic acid bacteria: Identification, classification, and functional analysis 代谢组学在乳酸菌中的应用：鉴定、分类和功能分析

IF 12.5 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2026-05-01 Epub Date: 2026-02-05 DOI: 10.1016/j.biotechadv.2026.108838

Lixia Zhao , Wenjun Liu

Background

Lactic acid bacteria (LAB) exhibit a limited correlation between genomic attributes and expressed metabolic traits, with their metabolic profiles being strongly influenced by ecological and environmental conditions. Recent advances in metabolomics have enabled high-resolution profiling of LAB-specific metabolic fingerprints and bioactive compounds. Nevertheless, challenges such as metabolite instability, incomplete annotation of LAB-derived metabolites, and environmental interference within complex fermentation matrices continue to hinder data standardization, reproducibility, and mechanistic interpretation.

Scope and approach

This review synthesizes recent advances in LAB metabolomics, highlighting how state-of-the-art analytical platforms, in combination with single-cell and metabolic flux-based approaches, improve strain identification, metabolic phenotyping, and functional metabolite discovery. It further addresses LAB-specific methodological challenges and observed discordance between phylogenetic relationships and metabolomic phenotypes, and discusses how the integration of metabolomics with genome-scale metabolic models (GSMMs) and multi-omics frameworks can improve functional prediction and provide deeper mechanistic insights.

Key findings and conclusions

Overall, the integration of metabolomics is transforming functional studies in LAB by enabling strain-specific functional differentiation and the direct inference of adaptive traits from metabolic phenotypes. As metabolomics increasingly integrates with multi-omics datasets, GSMMs, and experimental validation approaches, a more unified framework for LAB functional analysis is emerging. This integrated approach provides a robust foundation for mechanistic elucidation, functional strain selection, and targeted applications in fermented food systems.

乳酸菌（LAB）的基因组属性与表达的代谢性状之间的相关性有限，其代谢谱受生态和环境条件的强烈影响。代谢组学的最新进展使实验室特异性代谢指纹图谱和生物活性化合物的高分辨率分析成为可能。然而，代谢物的不稳定性、实验室衍生代谢物的不完整注释以及复杂发酵基质中的环境干扰等挑战继续阻碍着数据的标准化、可重复性和机理解释。本综述综合了LAB代谢组学的最新进展，强调了最先进的分析平台，结合单细胞和基于代谢通量的方法，如何改进菌株鉴定、代谢表型和功能性代谢物的发现。它进一步解决了实验室特有的方法挑战，并观察到系统发育关系和代谢组学表型之间的不一致，并讨论了代谢组学与基因组尺度代谢模型（GSMMs）和多组学框架的整合如何改善功能预测并提供更深入的机制见解。总的来说，代谢组学的整合通过实现菌株特异性功能分化和从代谢表型直接推断适应性性状，正在改变LAB的功能研究。随着代谢组学越来越多地与多组学数据集、GSMMs和实验验证方法集成，一个更统一的LAB功能分析框架正在出现。这种综合方法为机制阐明、功能菌株选择和在发酵食品系统中的靶向应用提供了坚实的基础。

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引用次数: 0

Recent advances in computer-aided engineering of microbial synthesis and nutritional functions of fucosylated oligosaccharides 聚焦寡糖的微生物合成及其营养功能的计算机辅助工程研究进展

IF 12.5 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2026-05-01 Epub Date: 2026-02-23 DOI: 10.1016/j.biotechadv.2026.108849

Jingyu Sun , Yinan Lin , Zhoupei Zou , Jingyi Liu , Zhengxin Chen , Yuxi Wen , Silu Li , Meijia He , Yufan Liu , Yihan Chen , Chao Zhao

Fucosylated oligosaccharides are critical components of human milk, playing essential roles in infant health through prebiotic and pathogens-blocking properties. It is challenge to achieve large-scale extraction from natural sources. Chemical and enzymatic synthesis methods are also costly. In view of this, microbial production has emerged as a promising alternative. This approach primarily relies on synthetic biology and metabolic engineering strategies to construct engineered microbial strains, aiming to achieve the purpose of efficiently producing target oligosaccharides. To improve the biosynthesis yield, increasing fucosyltransferases activities and supplying sufficient precursors (e.g., GDP-_L-fucose) are the two main strategies to consider. What's more, rational design and virtual screening can be applied in selecting suitable fucosyltransferases or regulatory motifs to facilitate fucosylated oligosaccharides industrial application. Combining bioinformatic approaches with synthetic biological methods offers a powerful strategy to enable its precise and scalable production. This review gives a comprehensive overview of fucosylated oligosaccharides, summarizing recent advances in microbial biosynthesis and the potential of computer-aided production.

浓缩寡糖是母乳的关键成分，通过益生元和病原体阻断特性在婴儿健康中发挥重要作用。从自然资源中实现大规模开采是一个挑战。化学和酶合成方法也很昂贵。鉴于此，微生物生产已成为一种有希望的替代方案。该方法主要依靠合成生物学和代谢工程策略构建工程微生物菌株，以达到高效生产目标低聚糖的目的。为了提高生物合成产量，增加聚焦转移酶的活性和提供足够的前体（例如，GDP-L- focus）是需要考虑的两个主要策略。通过合理设计和虚拟筛选，选择合适的聚焦转移酶或调控基序，促进聚焦寡糖的工业应用。将生物信息学方法与合成生物学方法相结合，提供了一种强大的策略，使其能够精确和可扩展的生产。本文综述了聚焦点低聚糖的研究概况，总结了微生物合成的最新进展和计算机辅助生产的潜力。

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引用次数: 0

The fungal cure: Harnessing mycelial approach as sustainable green solution for industrial waste treatment 真菌治疗：利用菌丝体方法作为工业废物处理的可持续绿色解决方案

IF 12.5 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2026-05-01 Epub Date: 2026-02-02 DOI: 10.1016/j.biotechadv.2026.108834

Michael Dare Asemoloye

Industrialization has intensified releases of complex waste streams (e.g., synthetic dyes, petroleum hydrocarbons, heavy metals, and plastics) whose treatment can be costly, energy-intensive, and often incomplete using conventional physicochemical methods. ‘Mycoremediation’ defined as fungi mediated remediation, or their secreted materials/enzymes offers compelling advantages. These advantages stem across the extensive mycelial networks for matrix penetration, non-specific oxidative enzyme systems that transform lignin-like xenobiotics, and cell-wall chemistries that sorb metal ions. This review synthesizes mechanistic foundations on fungal enzymes (laccases; class II peroxidases such as manganese peroxidase and lignin peroxidase; biosorption and biomineralization), bioengineering strategies (CRISPR/Cas editing, artificial consortia), process intensification (immobilized-laccase reactors; whole-cell formats), and applications across textile dye effluents, petroleum-impacted soils/sediments, heavy-metal bearing wastewaters/soils, and polymer-rich wastes. Emerging evidence shows robust lab and mesocosm performance like rapid dye decolorization in fungal cartridge systems, significant alteration of petroleum (saturate, aromatic, resin and asphaltene-SARA) fractions under estuarine salinities, and high-capacity metal biosorption, while systematic verification for plastics remains a priority. Fungi sustainability assessments identify life-cycle hot spots in enzyme production and immobilization supports; techno-economic analyses suggest feasibility pathways when biocatalyst durability and reuse are optimized. This review also delves into regulatory frameworks for contained use and deliberate environmental release of engineered fungi, shaping the near-term deployments toward contained bioreactors. It concludes by projecting the combination of bioengineering (strain/secretome control), reactorization (immobilized catalysts, modular beds), and standardized metrics (toxicity, mass balance, life-cycle assessment-LCA/techno-economic analysis-TEA) for accelerating the transition of mycoremediation from promising prototypes to field-validated, scalable technologies for industrial waste treatment.

工业化加剧了复杂废物流（如合成染料、石油碳氢化合物、重金属和塑料）的排放，这些废物的处理费用昂贵、能源密集，而且使用传统的物理化学方法往往不完全。“真菌修复”被定义为真菌介导的修复，或其分泌的物质/酶具有令人信服的优势。这些优势贯穿于广泛的菌丝网络，用于基质渗透，转化木质素样异种生物的非特异性氧化酶系统，以及吸收金属离子的细胞壁化学反应。本文综述了真菌酶（漆酶、II类过氧化物酶，如锰过氧化物酶和木质素过氧化物酶、生物吸附和生物矿化）、生物工程策略（CRISPR/Cas编辑、人工财团）、过程强化（固定化漆酶反应器、全细胞形式）以及在纺织染料废水、石油影响土壤/沉积物、含重金属废水/土壤和富含聚合物的废物中的应用的机理基础。新出现的证据表明，该方法在实验室和中生态系统中具有强大的性能，如真菌药盒系统中的快速染料脱色，河口盐度下石油（饱和、芳香、树脂和沥青质- sara）馏分的显著变化，以及高容量金属生物吸附，而对塑料的系统验证仍然是一个优先事项。真菌可持续性评估确定了酶生产和固定化支持的生命周期热点；技术经济分析提出了优化生物催化剂耐久性和重复使用的可行性途径。本综述还深入探讨了工程真菌的封闭使用和故意环境释放的监管框架，形成了封闭生物反应器的近期部署。最后，本文预测了生物工程（菌株/分泌物组控制）、反应器化（固定化催化剂、模块化床）和标准化指标（毒性、质量平衡、生命周期评估- lca /技术经济分析- tea）的结合，以加速从有前途的原型到现场验证、可扩展的工业废物处理技术的过渡。

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引用次数: 0

Advances and challenges in enzymatic rubber degradation: Exploring genetic, molecular, and biotechnological aspects 酶促橡胶降解的进展和挑战：探索遗传、分子和生物技术方面

IF 12.5 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2026-05-01 Epub Date: 2026-01-23 DOI: 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.

橡胶废物是我们这个时代最持久的固体废物之一，主要以报废轮胎为代表。虽然天然橡胶的生物来源使其具有可生物降解性，但许多轮胎部件却不能，并且它们使微生物的酶促攻击变得极其困难。尽管各种细菌和真菌具有强大的多酶分解代谢能力，但目前还没有能够有效降解硫化轮胎废物的生物或酶。然而，生物技术在酶促橡胶降解过程中的进步正在开辟新的机会。本文还对橡胶加氧酶的多样性、相应基因的转录调控以及低聚异戊二烯醛的下游氧化进行了综述。这种生物转化被定位为橡胶废物的潜在酶促升级循环。尽管在分子和生物过程水平上已经取得了重大进展，但要提出一个有效和可扩展的过程，必须解决几个障碍。

引用次数: 0

Expanding biotechnological applications of Yarrowia lipolytica: Key advances in the past decade 扩大脂性耶氏菌的生物技术应用：过去十年的主要进展

IF 12.5 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2026-05-01 Epub Date: 2026-02-06 DOI: 10.1016/j.biotechadv.2026.108835

Benedict Ryan Lukito , Naazneen Sofeo , Hui Jean Lim , Muhammad Harith bin Mohammad Taufik , Prakash Arumugam , Aiqun Yu , Adison Wong

Yarrowia lipolytica is a non-conventional yeast with innate oleaginous metabolism and unusual tolerance for hydrophobic substrates, positioning it as a prime chassis for waste-enabled precision fermentation. In this review, we consolidate advances associated with Yarrowia over the past decade into a coherent, trait-centered framework that links biological capabilities to manufacturing performance. We studied genetic toolkits, adaptive laboratory evolution and mating/fusion for strain hardening and phenotype expansion, and combinatorial metabolic engineering strategies (push-pull-block lipid routing, stage- and compartment-specific expression, export engineering) that together improved production titer, rate, and yield across various scales. By organizing metabolic products based on core pathways, namely, the tricarboxylic acid cycle, mevalonate pathway, pentose phosphate pathway, and fatty acid biosynthesis, and pairing each class with the specific chassis edits that enabled leading titers, we provide actionable guidance for target selection and de-risked development. Finally, we propose a roadmap leveraging emerging approaches, AI-guided design, intensified bioprocessing, and precision co-cultures, as key enablers of a scalable, circular bioeconomy with Y. lipolytica as a platform strain.

多脂耶氏菌是一种非常规酵母，具有天生的产油代谢和对疏水底物的异常耐受性，将其定位为废物精密发酵的主要底盘。在这篇综述中，我们将过去十年与耶氏菌相关的进展整合为一个连贯的、以性状为中心的框架，将生物能力与制造性能联系起来。我们研究了菌株硬化和表型扩增的遗传工具、适应性实验室进化和交配/融合，以及组合代谢工程策略（推拉-阻滞脂质传递、阶段和室特异性表达、出口工程），这些策略共同提高了不同规模的生产滴度、速率和产量。通过根据核心途径（即三羧酸循环、甲羟戊酸途径、戊糖磷酸途径和脂肪酸生物合成）组织代谢产物，并将每个类别与能够实现领先滴度的特定碱基编辑配对，我们为目标选择和去风险开发提供了可操作的指导。最后，我们提出了一个路线图，利用新兴的方法，人工智能指导的设计，强化的生物处理和精确的共培养，作为可扩展的循环生物经济的关键推动因素，以脂肪酶为平台菌株。

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引用次数: 0

Modulation of Clostridioides difficile virulence by metabolites derived from probiotic consortia and genetically edited strains 来自益生菌联合体和基因编辑菌株的代谢物对艰难梭菌毒力的调节

IF 12.5 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2026-05-01 Epub Date: 2026-02-02 DOI: 10.1016/j.biotechadv.2026.108818

Luana Macedo Nogueira , Eduardo César Meurer , Marcos Pileggi

Clostridioides difficile infection (CDI) continues to pose a significant clinical and biotechnological challenge, primarily driven by antimicrobial resistance and frequent recurrence. Emerging strategies are shifting the therapeutic focus from pathobiont eradication to virulence suppression, achieved by targeting the key metabolic and regulatory networks that underpin C. difficile pathogenicity in the gut. This review synthesizes multi-omic data demonstrating that a synergistic approach—restoring secondary bile acid metabolism (through the bai operon), boosting short-chain fatty acid (SCFA) production, and disrupting quorum-sensing systems (e.g., luxS, agr)—can collectively suppress toxin expression, biofilm formation, and spore germination. We further examine how synthetic biology and metabolic engineering are paving the way for next-generation solutions, including engineered probiotics, designer microbial consortia, and live biotherapeutic products endowed with programmable quorum quenching capabilities and optimized metabolic outputs. The integration of genomics, transcriptomics, proteomics, and metabolomics, with computational modeling, now enables the predictive design and industrially scalable production of these microbiome-based interventions. Together, these advances mark a pivotal transition from empirical probiotic use to the era of precision, mechanism-driven microbiome therapeutics designed to achieve durable control of CDI recurrence.

艰难梭菌感染（CDI）继续构成重大的临床和生物技术挑战，主要是由于抗菌素耐药性和频繁复发。新兴策略正在将治疗重点从病原体根除转移到毒力抑制，通过靶向肠道中支撑艰难梭菌致病性的关键代谢和调节网络来实现。这篇综述综合了多组学数据，证明了一种协同方法——恢复次级胆汁酸代谢（通过bai操纵子），促进短链脂肪酸（SCFA）的产生，破坏群体感应系统（如luxS， agr）——可以共同抑制毒素表达，生物膜形成和孢子萌发。我们进一步研究了合成生物学和代谢工程如何为下一代解决方案铺平道路，包括工程益生菌，设计微生物联合体，以及具有可编程群体淬火能力和优化代谢输出的活生物治疗产品。基因组学、转录组学、蛋白质组学和代谢组学与计算建模的整合，现在使这些基于微生物组的干预措施的预测设计和工业可扩展生产成为可能。总之，这些进展标志着从经验益生菌使用到精确、机制驱动的微生物组治疗的时代的关键转变，旨在实现对CDI复发的持久控制。

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引用次数: 0

A unified survey on drug-target interaction and binding affinity prediction: Models, representations, and challenges 对药物-靶标相互作用和结合亲和力预测的统一调查：模型，表示和挑战。

IF 12.5 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2026-05-01 Epub Date: 2026-02-12 DOI: 10.1016/j.biotechadv.2026.108843

Yike Wang , Jingwei Lv , Yan Xia , Junlin Xu , Yajie Meng , Feifei Cui , Leyi Wei , Quan Zou , Zilong Zhang

Drug discovery is a complex and systematic process aimed at finding new treatment methods that can prevent or treat specific diseases. Accurately predicting the interaction and binding affinity between drugs and targets is one of the key steps in modern drug development. Although traditional experimental methods are accurate, they are difficult to meet the efficiency requirements of current drug development due to high costs, low throughput, and high failure rates. In contrast, computational prediction methods are gradually becoming an indispensable auxiliary tool that can not only significantly shorten the research and development cycle and reduce experimental costs, but also improve the success rate of candidate drug screening. This review focuses on the research of drug-target interaction (DTI) and drug-target binding affinity (DTA), and systematically reviews the relevant research progress. Distinct from existing reviews, we treat large pre-trained model-based approaches as an independent paradigm, rather than subsuming them under conventional sequence- or structure-based models. The article first outlines commonly used resources and methods from the perspective of data and representation, and the computational definition of drug target prediction problem was clarified. On this basis, we have summarized the development path of computational models, from early similarity and feature driven models, to matrix decomposition, network analysis, sequence and structure modeling, and then to the emergence of large-scale pre-trained models in recent years, forming a relatively complete technological evolution path. The article also summarizes the experience at the experimental level, such as the selection of evaluation indicators, handling of cold start scenarios, design of case studies, and analysis of model interpretability. Finally, we synthesize key challenges and identify several directions for future research.

药物发现是一个复杂而系统的过程，旨在发现新的治疗方法，可以预防或治疗特定疾病。准确预测药物与靶点之间的相互作用和结合亲和力是现代药物开发的关键步骤之一。传统的实验方法虽然准确，但由于成本高、通量低、失败率高，难以满足当前药物开发的效率要求。相比之下，计算预测方法正逐渐成为一种不可或缺的辅助工具，不仅可以显著缩短研发周期，降低实验成本，还可以提高候选药物筛选的成功率。本文重点综述了药物-靶标相互作用（DTI）和药物-靶标结合亲和力（DTA）的研究，并对相关研究进展进行了系统综述。与现有的评论不同，我们将大型预训练的基于模型的方法视为一个独立的范例，而不是将它们纳入传统的基于序列或结构的模型。文章首先从数据和表示的角度概述了常用的资源和方法，明确了药物靶点预测问题的计算定义。在此基础上，我们总结了计算模型的发展路径，从早期的相似性和特征驱动模型，到矩阵分解、网络分析、序列和结构建模，再到近年来大规模预训练模型的出现，形成了比较完整的技术演进路径。文章还总结了实验层面的经验，如评价指标的选择、冷启动场景的处理、案例研究的设计、模型可解释性的分析等。最后，我们综合了主要挑战，并确定了未来研究的几个方向。

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引用次数: 0

Strategies for controlled assembly of rod-shaped viral particles 棒状病毒颗粒的控制装配策略

IF 12.5 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2026-05-01 Epub Date: 2026-01-30 DOI: 10.1016/j.biotechadv.2026.108817

Mruthula Rammohan, Kevin V. Solomon

Nanoparticles are increasingly used in medical applications due to their precise control over size, shape, and surface properties, which enable safe, targeted delivery and controlled interactions with specific tissues and cell types, ultimately enhancing therapeutic outcomes. While synthetic nanoparticles have shown promise, they often face challenges related to toxicity, biocompatibility, and uniformity. In contrast, naturally derived particles offer inherent advantages, including biological compatibility and monodispersity, which help mitigate these issues. Rod-shaped viruses and virus-like particles (VLPs) are particularly attractive due to their directional assembly into hierarchical structures, uniform size, ease of surface functionalization, and tunable aspect ratio. These properties are useful to control biodistribution and cellular interactions for nanoparticle accumulation and targeted delivery in vivo. Ongoing efforts to harness rod-shaped virus-like particles for nanomedicine involve a variety of strategies to control assembly, such as genetic changes to coat proteins, RNA scaffold engineering, and physicochemical changes to the solution conditions. These strategies enable precise tuning of VLP shape, aspect ratio, and composition. This review summarizes available assembly strategies and highlights their impact on particle morphology. Limitations of current strategies and opportunities for implementing the currently known assembly techniques in nanomedicine are also discussed.

纳米颗粒在医疗应用中的应用越来越多，因为它们对大小、形状和表面特性的精确控制，从而实现安全、有针对性的递送，并控制与特定组织和细胞类型的相互作用，最终提高治疗效果。虽然合成纳米颗粒已经显示出前景，但它们经常面临与毒性、生物相容性和均匀性相关的挑战。相比之下，天然衍生的颗粒具有固有的优势，包括生物相容性和单分散性，这有助于缓解这些问题。杆状病毒和病毒样颗粒（vlp）因其定向组装成分层结构、尺寸均匀、易于表面功能化和可调长宽比而特别具有吸引力。这些特性有助于控制生物分布和细胞相互作用，以实现纳米颗粒在体内的积累和靶向递送。正在进行的利用杆状病毒样颗粒用于纳米医学的努力涉及各种控制组装的策略，例如对外壳蛋白质的遗传改变，RNA支架工程以及对溶液条件的物理化学改变。这些策略可以精确地调整VLP的形状、纵横比和组成。本文综述了现有的组装策略，并强调了它们对颗粒形态的影响。目前的战略和实施目前已知的纳米医学组装技术的机会的局限性也进行了讨论。

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引用次数: 0

Reporter systems in actinomycetes: Versatile tools for natural product discovery and production 放线菌报告系统：天然产物发现和生产的通用工具

IF 12.5 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2026-05-01 Epub Date: 2026-02-03 DOI: 10.1016/j.biotechadv.2026.108831

Yue Jiang , Yuxin Liu , Shuliu Wang , Xiaoqian Zeng , Dongyuan Lv , Yaojun Tong , Linquan Bai , Lixin Zhang , Gao-Yi Tan

Actinomycetes produce secondary metabolites that are crucial for medicine, health, and agriculture; however, their physiological and genetic characteristics present challenges for the discovery and production of these compounds. Reporter systems act as versatile molecular beacons in actinomycetes, linking genotype to phenotype by empowering the dissection of regulatory networks, the programmable design of genetic circuits, and high-throughput strain screening. This review highlights common reporter systems including resistance genes, pigment biosynthetic genes, fluorescent proteins, luciferases, and enzymatic reporter genes, along with their applications in enhancing metabolite production and activating silent gene clusters in actinomycetes. Beyond summarizing major reporter systems in actinomycetes, this review provides a comparative assessment of their strengths and limitations, offering guidance for tool selection and highlighting the need for broader, more versatile next-generation reporters integrated with AI-driven modeling to accelerate natural product discovery and production.

放线菌产生对医药、卫生和农业至关重要的次生代谢物；然而，它们的生理和遗传特性给这些化合物的发现和生产带来了挑战。报告系统在放线菌中充当多功能分子信标，通过授权对调控网络的解剖、遗传电路的可编程设计和高通量菌株筛选，将基因型与表型联系起来。本文综述了常见的报告基因系统，包括抗性基因、色素生物合成基因、荧光蛋白、荧光素酶和酶促报告基因，以及它们在促进放线菌代谢产物产生和激活沉默基因簇方面的应用。除了总结放线菌中的主要报告系统外，本综述还对其优势和局限性进行了比较评估，为工具选择提供指导，并强调需要更广泛、更通用的下一代报告系统，并将其与人工智能驱动的建模相结合，以加速天然产品的发现和生产。

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引用次数: 0

Biotechnological advances in key regulatory genes of phenylpropanoid and terpenoid biosynthesis pathways in Panax ginseng: Current insights and future prospects 人参苯丙素和萜类生物合成途径关键调控基因的生物技术进展：现状和未来展望

IF 12.5 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2026-05-01 Epub Date: 2026-02-07 DOI: 10.1016/j.biotechadv.2026.108840

Mengyang Zhang , Jia Wu , Jie Zhang , Fu Wang , Youcheng Wang , Xiujuan Lei , Yingping Wang , Jian Zhang

Background: Panax ginseng, is one of the most important medicinal herbs, widely recognized for its therapeutic value in traditional and modern medicine. Its diverse pharmacological activities are primarily mediated by secondary metabolites, notably flavonoids and polyphenols from the phenylpropanoid pathway and ginsenosides from the terpenoid pathway, which exert strong antioxidant, anti-aging, and anti-inflammatory effects.

Aim of review: This review focuses on recent biotechnological advances in elucidating and manipulating the genes underlying phenylpropanoid and terpenoid biosynthesis in P. ginseng. We summarize progress in gene discovery, functional characterization with particular emphasis on ginsenoside biosynthesis. Cutting-edge approaches—including genome editing, CRISPR-based regulation, metabolic engineering, and synthetic biology—are highlighted as transformative tools to reprogram metabolic fluxes and enhance metabolite production. Additionally, we discuss omics-driven strategies, systems biology models, and emerging bioreactor and cell culture platforms that bridge fundamental genetics with applied biotechnology. It provides a theoretical and practical framework for developing elite ginseng varieties with improved bioactive compound profiles and paves the way for precision breeding and industrial-scale production of high-value medicinal metabolites.

背景：人参是一种重要的药材，在传统和现代医学中具有广泛的治疗价值。其丰富的药理活性主要是由次生代谢产物介导的，特别是苯丙素途径的黄酮类和多酚类物质以及萜类途径的人参皂苷类物质，具有较强的抗氧化、抗衰老和抗炎作用。综述目的：本文综述了近年来人参中苯丙素和萜类生物合成相关基因的研究进展。我们总结了基因发现，功能表征的进展，特别强调人参皂苷的生物合成。包括基因组编辑、基于crispr的调控、代谢工程和合成生物学在内的尖端方法被强调为重编程代谢通量和增强代谢物生产的变革性工具。此外，我们讨论了组学驱动的策略，系统生物学模型，以及新兴的生物反应器和细胞培养平台，这些平台将基础遗传学与应用生物技术联系起来。这为开发具有优良生物活性成分的人参优良品种提供了理论和实践框架，并为高价值药用代谢物的精准育种和工业规模生产铺平了道路。

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引用次数: 0