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High substrate conversion efficiency of a starch-deficient Chlorella vulgaris mutant under fed-batch heterotrophic fermentation 缺淀粉普通小球藻突变体分批补料异养发酵条件下底物转化效率高
IF 4.5 2区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-22 DOI: 10.1016/j.algal.2026.104545
Guimei Wu , Guichun Wu , Fang Liu , Xinglong Jiang , Mingcan Wu
Heterotrophic fermentation of microalgae is a key route for biodiesel commercialization, but its economic viability is hampered by high carbon source costs and the intrinsic “carbon partitioning” problem, where carbon is preferentially converted into starch rather than the target product, lipids. Although studies have blocked starch synthesis to enhance lipid yield, this work has been largely confined to the laboratory flask scale, leaving performance and molecular mechanisms under simulated industrial high-density fermentation conditions as a critical knowledge gap. In this study, a starch-synthesis-deficient Chlorella vulgaris mutant SDM4 was screened via chemical mutagenesis. It was systematically compared with the wild-type (WT) in a 7-L bioreactor using a fed-batch heterotrophic strategy to evaluate its growth characteristics, biochemical composition, and substrate conversion efficiency. Finally, comparative transcriptomics was employed to dissect the underlying molecular regulatory network of its high-lipid phenotype. A stable mutant, SDM4, with nearly complete blockage of starch synthesis, was successfully obtained. In the 7-L bioreactor, SDM4 exhibited a final triacylglycerol (TAG) content of 16.9% of dry weight, 1.8-fold higher than that of the WT. More importantly, the glucose-to-TAG conversion yield increased from 0.038 g g−1 in the WT to 0.059 g g−1 in SDM4. Consequently, the substrate conversion cost was reduced by 36.64%, demonstrating significant economic potential. Transcriptomic analysis revealed a sophisticated synergistic “Push-Pull” mechanism: the starch synthesis pathway was significantly suppressed (the “Pull”), while the glycolysis, fatty acid synthesis, and TAG assembly pathways were systematically activated (the “Push”), thereby efficiently reprogramming the carbon metabolic flux towards lipid synthesis. This study not only presents a promising microalgal mutant, SDM4, with excellent production performance and economic benefits under simulated industrial conditions but also, for the first time, systematically unveils the global metabolic reprogramming of such a mutant in a high-density heterotrophic environment. These findings provide a critical theoretical basis and key genetic targets for the future rational design of efficient microalgal cell factories.
微藻的异养发酵是生物柴油商业化的关键途径,但其经济可行性受到高碳源成本和内在的“碳分配”问题的阻碍,其中碳优先转化为淀粉而不是目标产品脂质。虽然研究已经阻止了淀粉合成以提高脂质产量,但这项工作主要局限于实验室烧瓶规模,在模拟工业高密度发酵条件下的性能和分子机制是一个关键的知识空白。本研究通过化学诱变技术筛选了一株淀粉合成缺陷小球藻(Chlorella vulgaris)突变体SDM4。在7-L生物反应器中,采用分批补料异养策略,系统地将其与野生型(WT)进行比较,以评估其生长特性、生化组成和底物转化效率。最后,比较转录组学被用来剖析其高脂表型的潜在分子调控网络。成功地获得了一个稳定的突变体SDM4,几乎完全阻断了淀粉的合成。在7 l的生物反应器中,SDM4的最终TAG含量为干重的16.9%,是WT的1.8倍。更重要的是,葡萄糖到TAG的转化率从WT的0.038 g g−1提高到SDM4的0.059 g g−1。因此,基材转化成本降低了36.64%,显示出巨大的经济潜力。转录组学分析揭示了一个复杂的协同“推-拉”机制:淀粉合成途径被显著抑制(“拉”),而糖酵解、脂肪酸合成和TAG组装途径被系统激活(“推”),从而有效地将碳代谢通量重编程为脂质合成。本研究不仅展示了一种在模拟工业条件下具有优异生产性能和经济效益的微藻突变体SDM4,而且首次系统揭示了该突变体在高密度异养环境下的全局代谢重编程。这些发现为今后合理设计高效的微藻细胞工厂提供了重要的理论依据和关键的遗传靶点。
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引用次数: 0
Exploring the transition from heterotrophy to high light stress using a proteomic and phosphoproteomic approach reveals altered chlorophyll biosynthesis, carbon partitioning, and astaxanthin biosynthesis and trafficking in a Haematococcus pluvialis (Chlorophyceae) mutant 利用蛋白质组学和磷蛋白质组学方法探索从异养到强光胁迫的转变揭示了雨红球菌突变体中叶绿素生物合成、碳分配、虾青素生物合成和运输的改变
IF 4.5 2区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-22 DOI: 10.1016/j.algal.2026.104546
Kyarii Ramarui , Jie Wang , Gary H. Wikfors , Yantao Li
Haematococcus pluvialis is a natural producer of astaxanthin, but efforts to grow it for industrial production are limited by the low biomass yield and modest astaxanthin productivity. Strain engineering to improve growth and astaxanthin production is limited by the incomplete understanding of astaxanthin biosynthesis in this microalga. This work aims to overcome this by generating a Haematococcus mutant with improved growth and astaxanthin production, and by exploring the stress response of this alga during transition from heterotrophy to high light stress conditions. A physical radiation mutagenesis approach was applied to generate Haematococcus mutants with higher cell division rates under heterotrophic conditions. The mutant JWHIB 27–38 was identified with a 25% higher growth rate than the wild type under heterotrophic conditions. Mutant JWHIB 27–38 also achieved a 69.61% higher lipid content and 86.17% higher astaxanthin content per cell than the wild type under high light stress. Comparative proteomic and phosphoproteomic analyses of the mutant JWHIB 27–38 and wild type revealed that the mutant maintained higher expression of chlorophyll biosynthesis proteins and phosphoproteins, including coproporphyrinogen oxidase, in response to high light stress. Upregulation of fatty acid biosynthetic proteins such as biotin carboxyl carrier protein in the mutant suggests that fixed carbon is diverted towards lipid biosynthesis. Upregulation of the key astaxanthin biosynthesis protein phytoene synthase and a putative astaxanthin-trafficking protein, AstaP, may enable increased astaxanthin accumulation and trafficking in the mutant. These and other significantly differentially expressed proteins provide promising targets for future strain engineering to improve astaxanthin productivity in microalgae.
雨红球菌是虾青素的天然生产者,但由于其生物量产量低和虾青素产量适中,限制了其工业化生产的努力。由于对虾青素在这种微藻中的生物合成的不完全了解,提高其生长和虾青素生产的菌株工程受到限制。这项工作旨在通过产生一种具有改善生长和虾青素产量的红球菌突变体来克服这一问题,并通过探索这种藻类在从异养到高光胁迫条件过渡期间的应激反应。在异养条件下,采用物理辐射诱变方法产生具有较高细胞分裂率的突变红球菌。在异养条件下,突变体JWHIB 27-38的生长速度比野生型高25%。突变体JWHIB 27-38在强光胁迫下,细胞脂质含量比野生型高69.61%,细胞虾青素含量比野生型高86.17%。对突变体JWHIB 27-38和野生型的蛋白质组学和磷酸化蛋白质组学分析显示,该突变体在强光胁迫下保持了较高的叶绿素生物合成蛋白和磷酸化蛋白的表达,包括比例卟啉原氧化酶。突变体中脂肪酸生物合成蛋白如生物素羧基载体蛋白的上调表明,固定碳转向脂质生物合成。关键的虾青素生物合成蛋白植物烯合成酶和推定的虾青素运输蛋白AstaP的上调可能导致突变体虾青素积累和运输增加。这些和其他显著差异表达的蛋白为未来菌株工程提高微藻虾青素产量提供了有希望的目标。
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引用次数: 0
Stress-induced multi-omics signatures in microalgae for metabolite harvesting 微藻代谢产物收获中应力诱导的多组学特征
IF 4.5 2区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-20 DOI: 10.1016/j.algal.2026.104540
Adalid Chairez-García , Gerardo Flores-Iga , Javier Ulises Hernández-Beltrán , Arely López-Gámez , Krishla Cortes-Meraz , Lourdes Morales-Oyervides , Julio Montañez , Carlos López-Ortiz , Padma Nimmakayala , Umesh K. Reddy , Nagamani Balagurusamy
Microalgae seem a promising cell factory for producing value-added metabolites due to their metabolic capacity and productivity, as well as their adaptive and specific responses to stressors, which can induce the production of primary and secondary metabolites or their simultaneous accumulation. To better understand the key role of each cell component, the integration of multi-omics screening with process parameters and conventional bioprocess design, alongside the application of high-scale multidimensional reduction methods and machine learning, appears to be a promising strategy to discover, define, predict, and associate the role of each cellular component and its derivatives within large-scale datasets. Therefore, we aim to provide an understanding of how different stressors evaluated under controlled culture conditions, together with the key molecular signatures identified by omics approaches, can inform the use of this data to engineer microalgae more effectively. This can be achieved either through genetic modification or by designing optimized environments to enhance the efficient production of metabolic products in targeted strains.
微藻的代谢能力和代谢效率,以及对应激源的适应性和特异性反应,可以诱导初级代谢物和次级代谢物的产生或同时积累,是一种很有前景的生产增值代谢物的细胞工厂。为了更好地理解每种细胞成分的关键作用,将多组学筛选与工艺参数和传统生物工艺设计相结合,以及大规模多维约简方法和机器学习的应用,似乎是一种很有前途的策略,可以在大规模数据集中发现、定义、预测和关联每种细胞成分及其衍生物的作用。因此,我们的目标是提供在受控培养条件下如何评估不同应激源的理解,以及通过组学方法识别的关键分子特征,可以为使用这些数据更有效地设计微藻提供信息。这可以通过基因改造或通过设计优化的环境来提高目标菌株代谢产物的有效生产来实现。
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引用次数: 0
Development of chitosan-based active composite films incorporating Chlorella vulgaris oil for active food packaging 含小球藻油壳聚糖基活性食品包装复合膜的研制
IF 4.5 2区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-20 DOI: 10.1016/j.algal.2026.104542
Xiaotong Zou , Shaohua Zhao , Ke Liu , Lingtao Li , Miaosen Zhang , Rui Lu , Changqing Fang
The increasing environmental burden associated with petroleum-based plastic packaging has stimulated growing interest in microalgae-derived bio-based materials for sustainable food packaging applications. In this study, active composite films based on chitosan (CS) and Chlorella vulgaris (CV) oil were prepared using a solution-casting method. Scanning electron microscopy (SEM) observations indicated that the incorporation of CV oil significantly altered the film morphology, resulting in uniformly distributed porous microstructures. Mechanical property analysis showed a gradual decrease in tensile strength, accompanied by an initial increase followed by a decline in elongation at break, with a maximum enhancement of 66%. The surface hydrophobicity of the films increased with increasing CV oil content, as evidenced by an increase in water contact angle up to 83.99°, while water solubility, swelling ratio, and water vapor permeability were correspondingly reduced. Optical measurements revealed a pronounced decrease in UV–visible light transmittance, indicating improved light-barrier performance. Furthermore, bioactive compounds present in CV oil enhanced the antioxidant and antimicrobial properties of the films, with the DPPH radical scavenging activity increasing from 43.17% to 73.45% and effective inhibition observed against Escherichia coli and Staphylococcus aureus. These results demonstrate the potential of CV oil as a functional microalgae-derived additive for the development of sustainable and bioactive packaging films.
与石油基塑料包装相关的日益增加的环境负担刺激了对微藻衍生的生物基材料用于可持续食品包装应用的日益增长的兴趣。本研究采用溶液浇铸法制备了壳聚糖(CS)和小球藻(CV)油基活性复合膜。扫描电镜(SEM)观察表明,CV油的掺入显著改变了膜的形貌,形成了均匀分布的多孔微观结构。力学性能分析表明,拉伸强度逐渐降低,断裂伸长率先升高后下降,最大提高66%。随着CV油含量的增加,膜的表面疏水性增加,水接触角增加至83.99°,而水溶性、溶胀率和水蒸气渗透率相应降低。光学测量显示紫外-可见光透过率显著降低,表明光屏障性能得到改善。此外,CV油中含有的生物活性物质增强了膜的抗氧化和抗菌性能,DPPH自由基清除能力从43.17%提高到73.45%,对大肠杆菌和金黄色葡萄球菌有明显的抑制作用。这些结果表明,CV油作为一种功能性微藻衍生添加剂,具有开发可持续和生物活性包装薄膜的潜力。
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引用次数: 0
Removal of polypropylene microplastics from water by microalgae Desmodesmus sp.: Influences, kinetics and mechanisms 微藻对水中聚丙烯微塑料的去除:影响、动力学和机制
IF 4.5 2区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-20 DOI: 10.1016/j.algal.2026.104539
Qing Xie , Xiaoai Lin , Lang Tan , Longzao Luo , Shuang Luo , Xiaosong Tian , Qing Cheng , Shao Zhang , Yujing Wang
Microplastics (MPs) pollution in Poyang Lake, China, necessitates the implementation of sustainable remediation strategies. This research developed a Microalgae-based Microplastic Removal System (MMRS) aimed at the removal of polypropylene microplastics (PP-MPs). The findings indicated that the efficacy of PP-MP removal by the MMRS was influenced by several factors, including the particle size and concentration of the microplastics, the pH level, and the initial concentration of microalgal inoculation. Specifically, under conditions where the microalgal concentration was maintained at 0.4 g/L, the microplastic concentration at 16 mg/L, the particle size at 6.5 μm, and the pH at 7.0, the MMRS achieved a removal efficiency of 72% for PP-MPs. The removal process conformed to a pseudo-first-order kinetic model. The primary mechanism facilitating the removal of PP-MPs by the MMRS was identified as adsorption, which was driven by the secretion of extracellular polymeric substances. Overall, the MMRS presents a promising environmentally sustainable approach for the bioremediation of microplastics in freshwater systems, though scalability requires further investigation.
鄱阳湖的微塑料污染需要实施可持续的修复策略。本研究开发了一种基于微藻的微塑料去除系统,旨在去除聚丙烯微塑料(PP-MPs)。结果表明,MMRS去除PP-MP的效果受微塑料粒径和浓度、pH值、微藻接种初始浓度等因素的影响。在微藻浓度为0.4 g/L、微塑料浓度为16 mg/L、粒径为6.5 μm、pH为7.0的条件下,MMRS对PP-MPs的去除率可达72%。去除过程符合准一级动力学模型。MMRS去除PP-MPs的主要机制是吸附,这是由细胞外聚合物质的分泌驱动的。总的来说,MMRS为淡水系统中的微塑料生物修复提供了一种有前景的环境可持续方法,尽管可扩展性需要进一步研究。
{"title":"Removal of polypropylene microplastics from water by microalgae Desmodesmus sp.: Influences, kinetics and mechanisms","authors":"Qing Xie ,&nbsp;Xiaoai Lin ,&nbsp;Lang Tan ,&nbsp;Longzao Luo ,&nbsp;Shuang Luo ,&nbsp;Xiaosong Tian ,&nbsp;Qing Cheng ,&nbsp;Shao Zhang ,&nbsp;Yujing Wang","doi":"10.1016/j.algal.2026.104539","DOIUrl":"10.1016/j.algal.2026.104539","url":null,"abstract":"<div><div>Microplastics (MPs) pollution in Poyang Lake, China, necessitates the implementation of sustainable remediation strategies. This research developed a Microalgae-based Microplastic Removal System (MMRS) aimed at the removal of polypropylene microplastics (PP-MPs). The findings indicated that the efficacy of PP-MP removal by the MMRS was influenced by several factors, including the particle size and concentration of the microplastics, the pH level, and the initial concentration of microalgal inoculation. Specifically, under conditions where the microalgal concentration was maintained at 0.4 g/L, the microplastic concentration at 16 mg/L, the particle size at 6.5 μm, and the pH at 7.0, the MMRS achieved a removal efficiency of 72% for PP-MPs. The removal process conformed to a pseudo-first-order kinetic model. The primary mechanism facilitating the removal of PP-MPs by the MMRS was identified as adsorption, which was driven by the secretion of extracellular polymeric substances. Overall, the MMRS presents a promising environmentally sustainable approach for the bioremediation of microplastics in freshwater systems, though scalability requires further investigation.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"94 ","pages":"Article 104539"},"PeriodicalIF":4.5,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research trends and hotspots of microalgae protein as a functional ingredient in plant-based foods: A bibliometric analysis based on the web of science 微藻蛋白作为植物性食品功能成分的研究趋势与热点:基于科学网的文献计量学分析
IF 4.5 2区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-20 DOI: 10.1016/j.algal.2026.104541
Jiayi He , Haoxie Xu , Keyu Lu , Chunli Guo , Ming Du , Ruochen Jia
This bibliometric study maps the research landscape of microalgae protein as a functional ingredient in plant-based foods, utilizing data from the Web of Science (WOS) Core Collection from 2015 to 2024. The study analyzes trends in publication volume, collaboration networks, keyword evolution, and citation bursts, revealing the rapid growth and increasing significance of microalgae proteins in the field of sustainable food systems. The research identifies key themes, such as protein functionality, environmental sustainability, and the use of microalgae in food formulations like meat analogs and dairy alternatives. Insights into the collaboration networks across countries, institutions, and authors highlight the global nature of the research, with emerging contributions from developing countries. Temporal keyword analysis underscores the shift from foundational biological studies to applied food science, with a rising focus on antioxidant properties and sustainability. This study provides valuable insights into the current state of microalgae protein research and identifies future research directions aimed at optimizing production, enhancing functional properties, and integrating microalgae proteins into the global food system.
本文献计量学研究利用Web of Science (WOS) Core Collection从2015年到2024年的数据,绘制了微藻蛋白作为植物性食品功能成分的研究图景。本研究分析了微藻蛋白在发文量、合作网络、关键词演变和引文爆发等方面的趋势,揭示了微藻蛋白在可持续粮食系统领域的快速增长和日益重要的意义。该研究确定了关键主题,如蛋白质功能、环境可持续性以及微藻在肉类类似物和乳制品替代品等食品配方中的使用。对跨国家、机构和作者的合作网络的洞察突出了该研究的全球性质,以及发展中国家的新贡献。时间关键词分析强调了从基础生物学研究到应用食品科学的转变,越来越关注抗氧化特性和可持续性。本研究为微藻蛋白的研究现状提供了有价值的见解,并确定了未来的研究方向,旨在优化生产,增强功能特性,并将微藻蛋白融入全球食品体系。
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引用次数: 0
Mechanisms for enhanced antibiotic removal and lipid production by a cyanobacteria-bacteria consortium in an optimized baffled photobioreactor 在优化的折流板光生物反应器中,蓝藻-细菌联合体增强抗生素去除和脂质产生的机制
IF 4.5 2区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-20 DOI: 10.1016/j.algal.2026.104536
Ziqi Yu , Guannan Lin , Yawen Qi , Ying Liu , Jian Zhang
This study optimized seven operating parameters for purifying antibiotic-polluted wastewater through orthogonal experiments including TN (15 mg/L), TP (2 mg/L), COD (50 mg/L), antibiotic concentration (5 μg/L), initial cyanobacterial biomass (200 mg/L), light intensity (4000 lx), and hydraulic retention time (96 h). Using these conditions, a continuous wastewater treatment system was established in a baffled photobioreactor containing a symbiotic consortium of immobilized Synechococcus and indigenous wastewater bacteria. During a 36-d stable operation, the system achieved high lipid productivity of 30.67–68.17 mg/(L·d) and remarkable removal rates of up to 90.77%, 87.88%, 87.50%, and 79.59% for TN, TP, COD, and a typical antibiotic (sulfamethoxazole), respectively. Metatranscriptomic analysis revealed the molecular mechanisms in the cyanobacteria-bacteria consortium, namely: (i) upregulation of genes (GlnA, GlnK, AmtB), GO biological processes, and KEGG pathways related to nitrogen metabolism facilitated nitrogen assimilation from wastewater; (ii) overexpression of genes related to ATP synthesis (AtpE) and phosphate transport (PstS) enhanced phosphorus uptake from wastewater; (iii) upregulation of a stress response gene (sodA), GO biological processes related to antibiotic degradation, and KEGG pathways associated with the degradation of various organic pollutants enabled efficient sulfamethoxazole and COD removal; (iv) correlation between photosynthesis-related genes and bacterial genes, as well as the upregulated signaling-related GO biological processes, confirmed cyanobacteria-bacteria cooperation; and (v) upregulation of functional genes and KEGG pathways representing photosynthesis, carbon fixation, and fatty acid synthesis directed carbon flux toward lipid production. Overall, the system demonstrates potential for simultaneous wastewater remediation and biofuel feedstock production.
本研究通过正交试验,优化了TN (15 mg/L)、TP (2 mg/L)、COD (50 mg/L)、抗生素浓度(5 μg/L)、初始蓝藻生物量(200 mg/L)、光照强度(4000 lx)、水力停留时间(96 h) 7个操作参数对抗生素污染废水的净化效果。在此条件下,在一个包含固定化聚球菌和本地废水细菌共生联合体的挡板光生物反应器中建立了连续废水处理系统。在36 d的稳定运行中,该系统的脂质产率达到30.67 ~ 68.17 mg/(L·d),对TN、TP、COD和一种典型抗生素磺胺甲新唑的去除率分别达到90.77%、87.88%、87.50%和79.59%。超转录组学分析揭示了蓝藻-细菌联盟的分子机制,即:(1)与氮代谢相关的基因(GlnA、GlnK、AmtB)、GO生物过程和KEGG途径的上调促进了废水中氮的同化;(ii)与ATP合成(AtpE)和磷酸盐运输(PstS)相关的基因过表达增强了废水中磷的吸收;(iii)应激反应基因(sodA)的上调,与抗生素降解相关的氧化石墨烯生物过程,以及与各种有机污染物降解相关的KEGG途径,使磺胺甲恶唑和COD的有效去除成为可能;(iv)光合作用相关基因与细菌基因的相关性,以及与氧化石墨烯信号相关的生物过程的上调,证实了蓝藻-细菌的合作;(v)代表光合作用、碳固定和脂肪酸合成的功能基因和KEGG通路的上调将碳通量导向脂质生产。总的来说,该系统显示了同时进行废水修复和生物燃料原料生产的潜力。
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引用次数: 0
Physiological, biochemical, and cytotoxic characterization of two UV-C mutant strains of the microalga Porphyridium purpureum (Rhodophyta): An indoor and outdoor study 两种紫红藻UV-C突变株的生理、生化和细胞毒特性:室内和室外研究
IF 4.5 2区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-19 DOI: 10.1016/j.algal.2026.104533
Pablo Castro-Varela , Roberto Teófilo Abdala-Díaz , Félix L. Figueroa , Patricia I. Gómez
Porphyridium purpureum is a red microalga that contains phycoerythrin (R-PE), exopolysaccharides (EPS) and polyunsaturated fatty acids (PUFAs): linoleic acid (LA), eicosapentaenoic acid (EPA), and arachidonic acid (AA). The optimization of culture conditions remains a major challenge for enhancing biomass production on a large scale. In this study, a random mutagenesis-selection approach to enhance the physiological and biochemical traits of P. purpureum was used. UV-C radiation (254 nm) served as the mutagenic agent, while dim light and the fatty acid biosynthesis inhibitor Cerulenin, were employed as selection agents. Four mutant strains (A-4, B-3, B-7, and B-11) were selected and evaluated at the laboratory scale (1 L). According to their growth and biochemical attributes, strains B-7 and B-11 were selected and used for outdoor trials in 350 L tubular photobioreactor. The strains B-7 and B-3 in 350-L trials achieved similar percentages of total polyunsaturated fatty acids (ranging from 60 to 64%) compared to the wild-type strain. However, only the B-7 strain showed an increase in total lipid accumulation, rising from 5.9% to 6.5% relative to the wild type; additionally, LA and ARA increased by 49.5% and 52.3.7%, respectively, while EPA decreased by 56.7% compared to the wild type. Concerning phycoerythrin, improvements were observed only in strain B-7 (from 14.4 to 20.6 mg g−1 dry biomass). The biomass production per culture volume increased by approximately 53.2% for B-7 and 35% for B-3, respectively, relative to the wild type, indicating that notable properties of the mutant strains could be observed at a large culture scale. Regarding the potential use of these strains in nutraceutical applications, cytotoxicity tests of strains B-3 and B-7 showed no harmful effects on healthy human cell lines. Furthermore, both strains demonstrated some antitumoral activity against colon cancer HCT-116 cells. This study demonstrated that random mutagenesis-selection is a valuable approach for selecting new P. purpureun strains for biotechnological applications.
紫斑卟啉(Porphyridium purpureum)是一种红色微藻,含有植红蛋白(R-PE)、外多糖(EPS)和多不饱和脂肪酸(PUFAs):亚油酸(LA)、二十碳五烯酸(EPA)和花生四烯酸(AA)。优化培养条件仍然是大规模提高生物质生产的主要挑战。本研究采用随机诱变-选择方法提高紫花假单胞菌的生理生化特性。紫外- c辐射(254 nm)作为诱变剂,弱光和脂肪酸生物合成抑制剂Cerulenin作为选择剂。选择4个突变株(A-4、B-3、B-7和B-11)在实验室规模(1 L)进行评估。根据菌株B-7和B-11的生长特性和生化特性,选择菌株B-7和B-11在350 L管状光生物反应器中进行室外试验。菌株B-7和B-3在350-L试验中获得的总多不饱和脂肪酸百分比与野生型菌株相似(60 - 64%)。但只有B-7菌株的总脂质积累较野生型增加,从5.9%增加到6.5%;与野生型相比,LA和ARA分别增加了49.5%和52.3.7%,EPA减少了56.7%。关于藻红蛋白,只有菌株b7的干生物量从14.4 mg g−1提高到20.6 mg g−1。与野生型相比,B-7和B-3的单位培养体积生物量分别增加了约53.2%和35%,表明在大规模培养中可以观察到突变菌株的显著特性。关于这些菌株在营养保健应用中的潜在用途,菌株B-3和B-7的细胞毒性试验显示对健康的人类细胞系没有有害影响。此外,两株菌株对结肠癌HCT-116细胞均表现出一定的抗肿瘤活性。该研究表明,随机诱变选择是一种有价值的选择新的紫癜性假单胞菌的生物技术应用的方法。
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引用次数: 0
Research on the application of machine learning in optimizing the heavy metal adsorption of algae-based adsorbents 机器学习在优化藻类吸附剂对重金属吸附中的应用研究
IF 4.5 2区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-19 DOI: 10.1016/j.algal.2026.104528
Aoqiang Li , Yang Peng , Shen Yao , Lei Zhang , Fanwei Meng
Microalgae are promising biological adsorbents for heavy metal removal from aqueous solutions, and machine learning (ML) is a powerful tool for optimizing their adsorption performance. This study developed an ML framework to optimize algae-based adsorbents heavy metal removal efficacy and clarify the underlying regulatory mechanisms. A dataset containing 3692 data points (10 input variables related to microalgal biological traits and adsorption conditions) was constructed by systematically reviewing 71 published literatures, with adsorption efficiency as the output variable. The dataset was further partitioned into 12 sub-datasets in accordance with the principle that one type of microalga is designated for adsorbing one specific heavy metal. Ten ML models were trained and validated, and Shapley Additive Explanations (SHAP) analysis combined with Partial Dependence Plots (PDP) was used to interpret feature importance and variable interactions. Results showed that the Extra Trees model outperformed other models, achieving a maximum test-set coefficient of determination (R2) of 0.9653 and a minimum root mean square error (RMSE) of 4.7024. Feature importance ranking revealed that experimental conditions exerted a more significant influence on adsorption efficiency than microalgal biological characteristics. Additionally, SHAP and PDP analyses identified key nonlinear antagonistic interactions between biomass concentration and initial heavy metal concentration. The sub-dataset prediction mode was proven suitable for pre-experiment scenarios due to its reduced computational cost, while the full-dataset mode was more applicable for broad-spectrum wastewater treatment predictions. This work provides theoretical support for the rational development and optimization of algae-based heavy metal adsorbents.
微藻是一种很有前途的去除水中重金属的生物吸附剂,而机器学习(ML)是优化其吸附性能的有力工具。本研究建立了一个ML框架,以优化藻类吸附剂的重金属去除效果,并阐明其潜在的调节机制。以吸附效率为输出变量,系统回顾71篇已发表的文献,构建了包含3692个数点(10个输入变量与微藻生物学特性和吸附条件相关)的数据集。按照一种微藻吸附一种特定重金属的原则,将数据集进一步划分为12个子数据集。对10个ML模型进行了训练和验证,并使用Shapley加性解释(SHAP)分析结合偏相关图(PDP)来解释特征重要性和变量相互作用。结果表明,Extra Trees模型优于其他模型,最大检验集决定系数(R2)为0.9653,最小均方根误差(RMSE)为4.7024。特征重要性排序显示,实验条件对吸附效率的影响比微藻生物学特性的影响更显著。此外,SHAP和PDP分析确定了生物量浓度与初始重金属浓度之间的关键非线性拮抗相互作用。子数据集预测模式由于计算成本较低,适用于实验前场景,而全数据集预测模式更适用于广谱污水处理预测。本研究为藻基重金属吸附剂的合理开发和优化提供了理论支持。
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引用次数: 0
Insights into interactions of scytonemin and its derivatives with dipeptidyl peptidase-IV 舒张素及其衍生物与二肽基肽酶- iv的相互作用
IF 4.5 2区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2026-01-19 DOI: 10.1016/j.algal.2026.104529
Anshul Kaushik , Ritu Kothari , Kiran Bala
Dipeptidyl peptidase-IV (DPP-IV) is a promising target for treating diabetes, which is a major global healthcare challenge. Existing DPP-IV inhibitor drugs have been associated with side effects, hence there is a pressing need to discover therapeutic alternatives. Algae have emerged as an important source of structurally diverse natural metabolites with pharmaceutical activities. This study aims to combine systematic in-silico screening with detailed molecular interactions analysis, and in-vitro DPP-IV enzyme inhibition assay to identify best algal metabolite as inhibitor. Potential allosteric surface binding sites were predicted in DPP-IV. To gain insight into interactions, conformation stability and flexibility upon ligand binding were analyzed. Virtual screening of 69 metabolites identified 12 ligands scoring better than positive control drug sitagliptin (−8.73 ± 0.37 kcal/mol) including luteolin-7-glucoside, hesperidin, epigallocatethin, phlorofucofuroeckol B), calothrixin. The highest scoring metabolite was identified as scytonemin (−10.86 ± 0.05 kcal/mol). MMPBSA analysis of interactions between derivatives of scytonemin and DPP-IV revealed differences in binding energy score. Compared to scytonemin (−21.18 ± 2.11 kcal/mol), dimethoxyscytonemin showed improved binding affinity (−26.41 ± 1.93 kcal/mol), whereas tetramethoxyscytonemin and scytonin exhibited reduced energy (−16.93 ± 3.06 kcal/mol and − 12.29 ± 4.24 kcal/mol, respectively). Analysis of scytonemin and its derivatives interactions with amino acid residues in DPP-IV binding site identified Trp-695 and Phe-674 as key residues for binding. Additionally, scytonemin exhibited potent DPP-IV enzyme inhibitory activity (IC50 = 2.75 ± 1.70 nM). In conclusion, this study identifies that scytonemin has good activity as DPP-IV inhibitor, supporting its potential as antidiabetic therapeutic.
二肽基肽酶- iv (DPP-IV)是治疗糖尿病的一个有希望的靶点,糖尿病是一个主要的全球卫生保健挑战。现有的DPP-IV抑制剂药物具有副作用,因此迫切需要发现治疗替代药物。藻类已成为具有药用活性的结构多样的天然代谢物的重要来源。本研究旨在结合系统的计算机筛选和详细的分子相互作用分析,以及体外DPP-IV酶抑制实验来确定最佳的藻类代谢物作为抑制剂。预测了DPP-IV的潜在变构表面结合位点。为了深入了解相互作用,分析了配体结合时的构象稳定性和灵活性。对69种代谢物进行虚拟筛选,鉴定出12种配体得分优于阳性对照药物西格列汀(- 8.73±0.37 kcal/mol),包括木叶草素-7-葡萄糖苷、橙皮苷、表没食子苷、苯二酚氟化钙B)、钙思草素。评分最高的代谢物为肌张力蛋白(- 10.86±0.05 kcal/mol)。MMPBSA分析显示,舒张素衍生物与DPP-IV之间的相互作用存在结合能评分差异。与四甲氧基丝胞胺(- 16.93±3.06 kcal/mol)和四甲氧基丝胞胺(- 12.29±4.24 kcal/mol)相比,二甲氧基丝胞胺的结合亲和力(- 21.18±2.11 kcal/mol)有所提高(- 26.41±1.93 kcal/mol),而四甲氧基丝胞胺和丝胞胺的结合能力则有所降低(- 16.93±3.06 kcal/mol)。通过对胞浆胺及其衍生物与DPP-IV结合位点氨基酸残基的相互作用分析,发现Trp-695和ph -674是结合的关键残基。此外,舒张素表现出较强的DPP-IV酶抑制活性(IC50 = 2.75±1.70 nM)。综上所述,本研究确定了舒张素作为DPP-IV抑制剂具有良好的活性,支持其作为抗糖尿病药物的潜力。
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Algal Research-Biomass Biofuels and Bioproducts
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