Current Plant Biology最新文献_第8页

Multi-modal priming for plant stress resilience: Emerging agents and applications 植物抗逆性的多模态启动：新兴药剂及其应用

IF 4.5 Q1 PLANT SCIENCES

Current Plant Biology

Pub Date : 2025-09-19 DOI: 10.1016/j.cpb.2025.100548

Saif Syed , Avinash Mishra

Extreme weather events are taking a toll on global agriculture, slashing crop yields by nearly a quarter each year. This escalating volatility undermines food security, particularly as conventional protective measures struggle to keep up with the pace and complexity of environmental stressors. The limited scope of current plant priming strategies, which rely on a narrow set of conventional chemical elicitors, phytohormones, and basic hydro priming strategies, often lacks the flexibility to address multiple stress conditions simultaneously, highlighting an urgent call for the development of more robust and adaptable priming strategies and solutions. The current review fills this research-gap, and explores some lesser-known agents and well-established next-generation nano-based agents offering multi-layered protection by tapping into diverse yet synergistic biological pathways driving stress resilient agricultural practices. While arachidonic acids and synthetic analogues of ABA (abscisic acid) can recalibrate hormonal signalling, resulting in fine-tuned responses of plants under stress, SL/SL-mimics coordinate with other phytohormonal signalling cascades for effective modulation of root-shoot architectural dynamics for stress adaptation. Dual-release gastrotransmitter agents like NOSH-aspirin can release hydrogen sulfide and nitric oxide simultaneously, which are crucial gaseous signalling molecules involved in stress signalling and cellular resilience. Meanwhile, molecules like ebselen deliver localized antioxidant support, and ectoine, a naturally derived osmolyte, fortifies cell membranes against dehydration and salinity shocks. Adding another layer of nanomaterial-based priming, graphene oxide not only acts as a smart delivery vehicle for these agents but also confers protective properties of its own, whereas the intrinsic optical and ROS scavenging properties of carbon dots alongside their exceptional water dispersion and plant tissue penetration abilities make them desirable candidates in area of nanomaterial based screening of stress resilience in various plant species. Alongside these, an expanding library of small molecules is being engineered to intervene with surgical precision in plant metabolic pathways, targeting stress nodes without inhibiting growth. The immediate effectiveness as well as induction of long-lasting "stress memories" through epigenetic tuning and metabolomic reprogramming induced by such agents can train plants to remember and react faster to future threats, offering broader stress tolerance, reduced toxicity, and more targeted efficacy.

极端天气事件正在给全球农业造成损失，每年农作物产量减少近四分之一。这种不断升级的波动破坏了粮食安全，特别是在传统保护措施难以跟上环境压力源的速度和复杂性的情况下。目前植物启动策略的范围有限，依赖于一套狭窄的传统化学激发子、植物激素和基本的水力启动策略，往往缺乏同时应对多种胁迫条件的灵活性，因此迫切需要开发更强大、适应性更强的启动策略和解决方案。目前的综述填补了这一研究空白，并探索了一些鲜为人知的药物和已经建立的下一代纳米药物，通过利用不同但协同的生物途径来驱动抗应激农业实践，提供多层保护。花生四烯酸和ABA（脱落酸）的合成类似物可以重新校准激素信号，导致植物在逆境下的精细反应，而SL/SL模拟物与其他植物激素信号级联协调，有效调节根冠结构动力学，以适应逆境。双释放胃递质药物，如nosh -阿司匹林，可以同时释放硫化氢和一氧化氮，这是至关重要的气体信号分子，涉及压力信号和细胞恢复力。与此同时，像埃布selen这样的分子提供局部抗氧化支持，而外托碱，一种天然衍生的渗透物，可以增强细胞膜抵御脱水和盐度冲击。添加另一层基于纳米材料的引物，氧化石墨烯不仅作为这些试剂的智能递送载体，而且还赋予其自身的保护特性，而碳点固有的光学和活性氧清除特性，以及它们卓越的水分散和植物组织渗透能力，使它们成为基于纳米材料筛选各种植物物种逆境恢复能力领域的理想候选者。除此之外，一个不断扩大的小分子文库正在被设计用于像外科手术一样精确地干预植物代谢途径，在不抑制生长的情况下靶向应激节点。通过这些药物诱导的表观遗传调节和代谢组学重编程，其即时效果和长期“压力记忆”的诱导可以训练植物记忆并对未来的威胁做出更快的反应，从而提供更广泛的压力耐受性，降低毒性，更有针对性的功效。

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引用次数: 0

Analytical approaches for volatile organic compounds to understand plant communication 挥发性有机化合物的分析方法，以了解植物通讯

IF 4.5 Q1 PLANT SCIENCES

Current Plant Biology

Pub Date : 2025-09-17 DOI: 10.1016/j.cpb.2025.100547

Samia Mokh , Tania Portoles , Jordi Gamir

Plants use volatile organic compounds (VOCs) as one of several signaling mechanisms to interact with each other and their environment. These chemical messages play a vital role in plant survival, influencing stress responses, defense mechanisms, and interactions with other organisms. However, the precise chemical composition and functional diversity of these volatile blends remain largely unknown. Metabolomic profiling through advanced analytical techniques based on chromatography hyphened to mass spectrometry has become a powerful approach for deciphering this complex chemical dialogue. Choosing the correct methodology is critical for conducting a successful analysis and this review aims to bridge the gap in our understanding by critically analyzing the main factors influencing VOCs analysis. Additionally, we will explore the strengths and limitations of different sampling methodologies, focusing on their effectiveness in profiling complex VOCs mixtures. By optimizing VOCs analytical methodologies, we can improve our understanding of plant-plant communication and stress responses, which may contribute to insights into ecosystems functioning and potential resilience under environmental change.

植物利用挥发性有机化合物（VOCs）作为相互作用和与环境相互作用的信号机制之一。这些化学信息在植物的生存中起着至关重要的作用，影响胁迫反应、防御机制以及与其他生物的相互作用。然而，这些挥发性混合物的精确化学成分和功能多样性在很大程度上仍然未知。通过基于色谱-质谱的先进分析技术的代谢组学分析已成为破译这种复杂化学对话的有力方法。选择正确的方法对于进行成功的分析至关重要，本文旨在通过批判性地分析影响挥发性有机化合物分析的主要因素来弥合我们理解上的差距。此外，我们将探讨不同采样方法的优势和局限性，重点关注它们在分析复杂VOCs混合物方面的有效性。通过优化VOCs分析方法，我们可以提高对植物间交流和胁迫响应的理解，这可能有助于了解生态系统在环境变化下的功能和潜在的恢复能力。

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引用次数: 0

Genetic algorithm enhanced deep learning with data augmentation for nitrogen and potassium deficiency detection in eggplant 遗传算法增强深度学习和数据增强，用于茄子缺氮缺钾检测

IF 4.5 Q1 PLANT SCIENCES

Current Plant Biology

Pub Date : 2025-09-13 DOI: 10.1016/j.cpb.2025.100546

Kamaldeep Joshi , Sahil Hooda , Yashasvi Yadav , Gurdiyal Singh , Ashima Nehra , Narendra Tuteja , Ritu Gill , Sarvajeet Singh Gill

The quality of horticultural crops is significantly crucial for agricultural yield because of market demand, quality, and the priority of consumers. Macronutrients like nitrogen (N) and potassium (K) are crucial for the normal growth and development of crops. Thus, detecting nutritional deficiency in eggplant is very important for ensuring optimal growth and yield. The traditional approaches are time-consuming and require expert knowledge. The previously reported research in eggplant with a deep learning (DL) approach targeted disease detection and classification work. No work has been reported on eggplant nutritional deficiency detection using the genetic algorithm (GA) based tuning approach with data augmentation. This paper presents a YOLOv9 deep-learning model, optimized with a GA to find the best hyperparameters and data augmentation techniques to increase its robustness. The study used the OLID I dataset to detect nutritional deficiencies in eggplant leaves. The experimental results show that our approach achieved an accuracy of 94.52 %, mAP50 of 94.55 %, mAP50–95 of 93.23 %, Precision of 95.9 %, Recall of 92.8 %, and F1 Score of 94.32 %. These results suggest that the proposed approach is a significant step towards developing a practical application to support farmers in detecting nutrition deficiencies in the eggplant crop.

由于市场需求、质量和消费者的优先考虑，园艺作物的质量对农业产量至关重要。氮(N)和钾(K)等常量营养素对作物的正常生长发育至关重要。因此，检测茄子的营养缺乏症对保证茄子的最佳生长和产量是非常重要的。传统的方法耗时且需要专业知识。先前报道的研究用深度学习（DL）方法对茄子进行针对性的疾病检测和分类工作。利用基于遗传算法的数据增强调谐方法检测茄子营养缺乏症的研究尚未见报道。本文提出了一个YOLOv9深度学习模型，利用遗传算法进行优化，以找到最佳的超参数和数据增强技术来提高其鲁棒性。该研究使用OLID I数据集来检测茄子叶片的营养缺乏。实验结果表明，该方法的准确率为94.52 %，mAP50为94.55 %，mAP50 - 95为93.23 %，Precision为95.9% %，Recall为92.8 %，F1 Score为94.32 %。这些结果表明，所提出的方法是朝着开发实际应用以支持农民检测茄子作物营养缺乏迈出的重要一步。

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引用次数: 0

An efficient dual-attention guided deep learning model with interpretability for identifying medicinal plants 用于药用植物识别的高效双注意引导深度学习模型

IF 4.5 Q1 PLANT SCIENCES

Current Plant Biology

Pub Date : 2025-09-06 DOI: 10.1016/j.cpb.2025.100533

Fuyad Hasan Bhoyan , Md Humaion Kabir Mehedi , Meharun Ohona , Sharmin Rashid , M.F. Mridha

Medicinal plants are important because of their diverse benefits. However, the accurate identification of these plants poses a significant challenge to the healthcare, agriculture, and pharmaceutical industries. Visual similarities between species and environmental variations complicate this process. Although traditional deep learning (DL) and machine learning (ML) approaches have demonstrated promising results in classifying medicinal plants, the question remains as to whether a model can perform more effectively and multidimensionally, incorporating features such as a plain and real image background and lightweight design. This study introduced a dual-attention convolutional neural network based on the DenseNet121 model named ”DenseDANet,”. The dual attention mechanisms enhance classification accuracy and effectiveness. The model employs Local Interpretable Model-Agnostic Explanations (LIME) to improve transparency, thereby enabling reliable and explainable identification of medicinal plants. Furthermore, this model outperformed transformer-based models, including Swin-T, MaxVit-T, FastVit-MA36, Vit-B16, and deep learning convolutional neural networks (CNNs), such as VGG19, ResNet50, ConvNextV2-T, and DenseNet161. DenseDANet was trained and evaluated on two public datasets: DS1 (Bangladeshi Medicinal Plant Dataset) and DS2 (BDMediLeaves), collectively comprising original 7029 images from 20 classes. A 70:20:10 split was used for training, validation, and testing, respectively, achieving the highest test accuracy of 99.50%. The proposed model offers a lightweight, interpretable, and efficient method for identifying medicinal plants. It significantly benefits traditional medicine, pharmaceutical research, and biodiversity conservation through its accurate specifications, making it ideal for real-time applications and reducing computational costs.

药用植物很重要，因为它们有多种益处。然而，这些植物的准确鉴定对医疗保健、农业和制药行业提出了重大挑战。物种之间的视觉相似性和环境变化使这一过程复杂化。虽然传统的深度学习（DL）和机器学习（ML）方法在药用植物分类方面已经显示出有希望的结果，但问题仍然是模型是否可以更有效地执行多维度，结合诸如简单和真实的图像背景和轻量级设计等特征。本研究介绍了一种基于DenseNet121模型的双注意卷积神经网络，命名为“DenseDANet”。双重注意机制提高了分类的准确性和有效性。该模型采用局部可解释模型不可知论解释（Local Interpretable model - agnostic Explanations， LIME）来提高透明度，从而实现可靠和可解释的药用植物鉴定。此外，该模型优于基于变压器的模型，包括Swin-T、maxvitt、fastvitt - ma36、vitb - 16，以及深度学习卷积神经网络（cnn），如VGG19、ResNet50、ConvNextV2-T和DenseNet161。DenseDANet在两个公共数据集上进行了训练和评估：DS1（孟加拉国药用植物数据集）和DS2 (BDMediLeaves)，总共包括来自20个类别的7029张原始图像。分别使用70:20:10分割进行训练、验证和测试，达到99.50%的最高测试准确率。该模型为药用植物的识别提供了一种轻量级、可解释、高效的方法。它通过其精确的规格，使传统医学、药物研究和生物多样性保护受益匪浅，使其成为实时应用和降低计算成本的理想选择。

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引用次数: 0

Synergy for plant health - plant growth-promoting rhizobacteria and nanomaterials 植物健康的协同作用——促进植物生长的根瘤菌和纳米材料

IF 4.5 Q1 PLANT SCIENCES

Current Plant Biology

Pub Date : 2025-09-05 DOI: 10.1016/j.cpb.2025.100545

Okainemen Godfrey Oribhabor , Damian C. Onwudiwe , Muthukrishnan Sathiyabama , Olubukola Oluranti Babalola

The combined activity of plant growth promoting rhizobacteria (PGPR) and nanomaterials offers a ray of hope in the pursuit of sustainable production of crops, beyond the capacity of either of the two used alone. Plant stress resistance, effective nutrient use and reduction in the rate of environmental degradation are promoted by the all-inclusive use of both techniques together. In this review, we provide a comprehensive overview of the role played by nanoparticles in promoting the development of crops. It is well known that PGPRs function to promote biological nitrogen fixation and hormone production in plants. On the other hand, nanoparticles promote the slow release of nutrients and the balancing of plant hormones. However, when combined, their individual functions can create a compounded effect; nanoparticles symbiotically associated with PGPR creates a nutrient-rich environment for them to proliferate in the rhizosphere leading to increased production of key plant metabolites, while PGPR, in return, improves the bioavailability of nutrients being warehoused by the nanoparticles, thus maximizing nutrient assimilation by plants. This review infuses a novel perspective on the molecular and eco-friendly basis for this symbiosis. Existing studies have demonstrated significant improvement in plant biomass, physiological, biochemical and molecular parameters because of the co-application of PGPR and nanoparticles. The challenges and regulatory considerations associated with the use of nanomaterials, current safety assessments, and public perception are major constraints hampering its development. The current work further reinforces the need for continued research into the application of nanobiofertilizers, gaining knowledge of their lasting consequences on ecosystem sustainability, with the hope of optimizing their benefits while ensuring effective and safe integration into farming practices.

促进植物生长的根瘤菌（PGPR）和纳米材料的联合活性为追求作物的可持续生产提供了一线希望，这超出了两者单独使用的能力。综合利用这两种技术可促进植物抗逆性、有效利用养分和降低环境退化率。本文就纳米颗粒在促进作物生长发育中的作用作一综述。众所周知，PGPRs具有促进植物生物固氮和激素产生的功能。另一方面，纳米颗粒促进营养物质的缓慢释放和植物激素的平衡。然而，当它们结合在一起时，它们各自的功能可以产生复合效果；与PGPR共生的纳米颗粒为它们在根际增殖创造了一个营养丰富的环境，从而增加了关键植物代谢物的产量，而PGPR反过来又提高了纳米颗粒储存的营养物质的生物利用度，从而最大限度地提高了植物对营养物质的吸收。这篇综述为这种共生关系的分子和生态基础注入了新的视角。已有研究表明，PGPR与纳米颗粒的共同应用对植物生物量、生理生化和分子参数都有显著改善。与纳米材料的使用、当前的安全评估和公众认知相关的挑战和监管考虑是阻碍其发展的主要制约因素。目前的工作进一步强调了继续研究纳米生物肥料应用的必要性，了解其对生态系统可持续性的持久影响，希望优化其效益，同时确保有效和安全地融入农业实践。

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引用次数: 0

Terrestrial planetary plants: Essential preparations for interstellar migration 类地行星植物：星际迁移的必要准备

IF 4.5 Q1 PLANT SCIENCES

Current Plant Biology

Pub Date : 2025-09-05 DOI: 10.1016/j.cpb.2025.100544

Xiumei Luo , Ying Wang , Jiasui Zhan , Maozhi Ren

Interstellar migration offers great potential for expanding human habitable space. As a powerful entropy-reducing system, plants convert simple, disordered chemical elements into complex, ordered organic macromolecules. They are expected to grow successfully on some planets and meet the essential nutritional and medical requirements for future interstellar migration. Taking Mars as a model planet, we analyze the basic physical, chemical and biological laws of plant growth on the terrestrial planet and propose terrestrial planetary plants (TPPs) for future terrestrial planetary agriculture (TPA). Biotechnological improvement of 25 TPPs candidates screened from 450,000 plants would reduce the dependence of interstellar migrants on farmland, poultry, livestock and hospitals, thus achieving self-sufficiency in food and medicine on Mars and other terrestrial planets. The TPPs are expected to break the 10 % rule in traditional food chains and provide new insights into enhancing agricultural production and food security on the earth.

星际迁移为扩大人类可居住空间提供了巨大的潜力。作为一个强大的熵还原系统，植物将简单、无序的化学元素转化为复杂、有序的有机大分子。它们有望在一些行星上成功生长，并满足未来星际迁移所需的基本营养和医疗需求。以火星为模型行星，分析了类地行星上植物生长的基本物理、化学和生物规律，并为未来的类地行星农业（TPA）提出了类地行星植物（TPPs）。对从45万株植物中筛选出的25种TPPs候选植物进行生物技术改进，将减少星际移民对农田、家禽、牲畜和医院的依赖，从而在火星和其他类地行星上实现食品和药品的自给自足。tpp有望打破传统食物链中10% %的规则，并为加强农业生产和地球粮食安全提供新的见解。

引用次数: 0

Systemic antioxidant effects of low-dose ultraviolet treatment on tobacco leaves are mediated by hydrogen peroxide 过氧化氢介导低剂量紫外线对烟叶的全身抗氧化作用

IF 4.5 Q1 PLANT SCIENCES

Current Plant Biology

Pub Date : 2025-09-05 DOI: 10.1016/j.cpb.2025.100543

Arnold Rácz, Zoltán Katona, Éva Hideg

Exposing a single leaf of tobacco plants to ultraviolet (UV) radiation, we detected eustress-like pigment and antioxidant responses not only in the directly treated leaf itself but also in the leaf above it (the systemic leaf), which was not directly exposed to UV radiation. To the best of our knowledge, this study is the first to investigate the systemic UV responses in plants. The experiments used low-dose, supplemental UV irradiation indoors (two hours daily, for two days), which had no significant effect on photosynthesis in the directly exposed leaves but influenced their antioxidant status. Systemic leaves showed increased H₂O₂ levels, indicating the involvement of reactive oxygen species in the underlying complex signalling cascade. Metabolic changes in systemic leaves are driven by increased carbon dioxide assimilation, supported by more open stomata. Compared with the leaves of untreated plants of the same age, systemic leaves exhibited higher adaxial flavonoid levels and more efficient H₂O₂ housekeeping (higher peroxidase and catalase activities and lower superoxide dismutase activities). The role of H₂O₂ in the systemic UV effect was supported by another experiment, showing that direct H₂O₂ treatment increased the H₂O₂ levels in a systemic manner in the leaves above the treated ones. Notably, unlike its direct effects, the systemic effects of UV radiation did not enhance hydroxyl radical scavenging activity, indicating the unique nature of direct UV-driven responses. The possibility presented here to induce eustress-like antioxidant responses in distal leaves without direct UV exposure could be relevant to indoor plant growth systems as a potential biofortification tool.

将烟草单叶暴露在紫外线辐射下，不仅在直接处理的叶片本身，而且在其上方未直接暴露于紫外线辐射的叶片（系统叶）中检测到类似应激素的色素和抗氧化反应。据我们所知，这项研究是第一次研究植物对紫外线的系统反应。实验采用低剂量的室内补充紫外线照射（每天2小时，持续2天），对直接照射叶片的光合作用没有显著影响，但影响了叶片的抗氧化能力。系统叶片显示H2O2水平升高，表明活性氧参与了潜在的复杂信号级联。系统叶片的代谢变化是由增加的二氧化碳同化驱动的，并得到更开放的气孔的支持。与同龄未处理植株叶片相比，系统叶片表现出更高的近轴类黄酮水平和更有效的H2O2管家（更高的过氧化物酶和过氧化氢酶活性和更低的超氧化物歧化酶活性）。H2O2在系统紫外效应中的作用得到了另一个实验的支持，表明H2O2直接处理使处理叶片上方的H2O2水平以系统的方式增加。值得注意的是，与它的直接作用不同，紫外线辐射的系统效应并没有增强羟基自由基清除活性，这表明了紫外线直接驱动反应的独特性。在没有直接紫外线照射的情况下，在远端叶片中诱导应激样抗氧化反应的可能性可能与室内植物生长系统有关，作为一种潜在的生物强化工具。

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引用次数: 0

Functional profiling of novel glufosinate ammonium-tolerant, and secondary metabolite-secreting plant growth-promoting rhizobacteria 新型草铵耐受性和次生代谢物分泌植物促生长根瘤菌的功能分析

IF 4.5 Q1 PLANT SCIENCES

Current Plant Biology

Pub Date : 2025-09-02 DOI: 10.1016/j.cpb.2025.100539

Odongkara Peter, Sang-Mo Kang, Muhammad Imran, Kil-Ung Kim, In-Jung Lee

Despite its toxicity, glufosinate ammonium (G-A) remains a popular herbicide. While microbial and plant-based detoxification have advanced, gaps still exist. This study aims to unravel strains with diverse metabolic and biochemical capabilities for G-A degradation. Herein, rhizospheric isolates from non-G-A contaminated sites were assayed for detoxification and plant growth promotion (PGP) using gradient concentration (0.0, 1.0, 1.5, 2.0, and 2.5 mM) over 84-hours. In between, PGP traits, including production of indole acetic acid (IAA), exopolysaccharides (EPS), siderophores, and phosphate solubilization and – secretion of sugars and amino acids were assayed. Six G-A tolerant isolates were identified through 16S rDNA analysis. Inoculation of soybean with cultures (1.4 × 10⁻⁴ CFU/mL, OD₆₀₀ nm) and 2.5 mM G-A treatment (1.0 mL/plant) increased germination (90 %), lengths of radicle (6.6 cm), mesocotyl (4.5 cm), and total fresh weight (1.83 mg) compared to controls (100 %, 7.12 cm, 5.1 cm, and 1.90 mg, respectively), and enhanced catalase, superoxide dismutase and glutathione antioxidants activities by 82, 78, and 60 percent respectively. Soil drench and foliar treatment of isolates and G-A in pot trials showed differential resistance, enhanced biomass, and increased chlorophyll concentration. Phylogenetic analysis revealed significant sequence similarities; OC-1042 to Stenotrophomonas sp. (97.5 %), OC-1054 to Klebsiella penumoniae (99 %), RB-1011, GH-1050, OC-1040 by 100, 99.9, and 99.8 percent respectively to Serratia marcescens, and UF-1050 to Pseudomonas nitroreducens (99.9 %). In conclusion, the diversity of G-A tolerant isolates facilitates detoxification, colonization, plant growth, and resilience. This variation contributes to their adaptability and roles, highlighting a path toward sustainable weed management.

尽管其毒性，草铵膦（G-A）仍然是一种流行的除草剂。虽然微生物和植物解毒取得了进展，但差距仍然存在。本研究旨在揭示具有不同代谢和生化能力的菌株降解G-A。本研究采用梯度浓度（0.0、1.0、1.5、2.0和2.5 mM）对非g - a污染地点的根际分离物进行84小时的解毒和促进植物生长（PGP）试验。在此期间，研究了PGP的性状，包括吲哚乙酸（IAA）、外多糖（EPS）、铁载体的产生以及糖和氨基酸的磷酸溶解和分泌。通过16S rDNA分析鉴定出6株G-A耐药菌株。接种大豆与文化(1.4 ×10 ⁻⁴CFU / mL, OD₆₀₀海里)和2.5 毫米g治疗(1.0 mL /植物)增加发芽(90 %),长度的胚根(6.6 厘米)、中胚轴(4.5 厘米),和总鲜重(1.83 毫克)相比,控制(100 %, 7.12厘米,5.1 厘米,1.90 毫克,分别),和增强过氧化氢酶、超氧化物歧化酶、谷胱甘肽的抗氧化剂活动,到82年,分别为78和60%。盆栽试验中，菌株和G-A的土壤水分和叶面处理表现出不同的抗性、生物量和叶绿素浓度的增加。系统发育分析显示显著的序列相似性；OC-1042对窄养单胞菌（97.5% %），OC-1054对肺炎克雷伯菌（99 %），RB-1011, GH-1050， OC-1040对粘质沙雷氏菌分别为100%，99.9%和99.8%，UF-1050对硝基假单胞菌（99.9% %）。总之，G-A耐受性菌株的多样性有助于解毒、定植、植物生长和恢复力。这种变异有助于它们的适应性和作用，突出了可持续杂草管理的道路。

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引用次数: 0

Corrigendum to “Endophytic microbes enhance sugarcane defense against Sporisorium scitamineum by activating calcium signaling and stress-responsive traits” [Curr. Plant Biol. 43 (2025) 100506] “内生微生物通过激活钙信号和应激反应特性增强甘蔗对甘蔗孢杆菌的防御”[Curr.]植物生物学，43 (2025)100506 [j]

IF 4.5 Q1 PLANT SCIENCES

Current Plant Biology

Pub Date : 2025-09-01 DOI: 10.1016/j.cpb.2025.100522

Faisal Mehdi , Yuanli Wu , Yimei Gan , Zhengying Cao , Shuting Jiang , Limei Zan , Shuzhen Zhang , Xiaopeng Wen , Benpeng Yang

引用次数: 0

The yeast Papiliotrema laurentii alleviates drought-induced stress in maize and affects oxidative status, LEA genes, hormone concentrations, and fatty acid allocation laurentii乳酸菌缓解玉米干旱胁迫，影响氧化状态、LEA基因、激素浓度和脂肪酸分配

IF 4.5 Q1 PLANT SCIENCES

Current Plant Biology

Pub Date : 2025-08-30 DOI: 10.1016/j.cpb.2025.100542

Marko Bajus , Zuzana Vivodová , Michaela Bačovčinová , Eva Labancová , Danica Kučerová , Ágnes Horváthová , Kristína Holeková , Diana Hačkuličová , Renáta Vadkertiová , Karin Kollárová

Drought stress can significantly affect maize growth; hence, new substances with a potential to alleviate drought-induced damage in plants are being investigated. Here, we studied the biostimulant potential and mechanisms of the yeast Papiliotrema laurentii CCY 17–3–24. The maize grains were treated with P. laurentii suspensions of different yeast concentrations (10⁶, 10⁷, 10⁸, and 10⁹ cells ml⁻¹) during the imbibition and germination. The yeast did not have plant-growth promoting effects in well-watered plants; however, it stimulated the growth of the drought-stressed maize in the concentration 10⁷ cells ml⁻¹ (e.g., shoot dry weight by 21.6 %). Furthermore, the relative water content and oxidative stress were improved in plants treated with the yeast compared to drought-stressed plants (e.g., decreased H₂O₂ concentration by 46.1 % in roots). The expression of LEA genes, which can be triggered by hormones, was significantly downregulated in yeast-treated plants compared to untreated plants. Although the yeast-treated plants showed slightly improved hormone concentrations (IAA, ABA) in drought compared to untreated plants (IAA concentration increased approximately by 19 %), the action of P. laurentii was not likely connected to its ability to produce hormones, neither its ability to change the accumulation of proline. However, based on the oleaginous nature of P. laurentii, its positive influence on plants suffering from drought can be possibly explained by the production of fatty acids and their uptake by plants. This was supported by the increased concentration of fatty acids, especially in the roots of the yeast-treated plants (by 205.3 %).

干旱胁迫对玉米生长有显著影响；因此，正在研究有可能减轻干旱对植物造成损害的新物质。本文研究了laurentii Papiliotrema CCY 17-3-24的生物刺激素潜能及其作用机制。不同酵母浓度（106、107、108和109 cells ml - 1）的laurentii悬浮液处理玉米籽粒的吸胀和萌发过程。在水分充足的植物中，酵母没有促进植物生长的作用；然而，在浓度为10⁷cells ml−1的情况下，它刺激了干旱胁迫玉米的生长（例如，茎干重增加21.6% %）。此外，与干旱胁迫植物相比，酵母处理植物的相对含水量和氧化胁迫均有所改善（例如，根部H2O2浓度降低46.1% %）。与未处理植物相比，酵母处理植物的LEA基因表达显著下调，该基因可由激素触发。虽然与未处理植物相比，酵母处理植物在干旱条件下的激素浓度（IAA， ABA）略有提高（IAA浓度增加约19. %），但laurentii的作用不太可能与其产生激素的能力有关，也不太可能与其改变脯氨酸积累的能力有关。然而，基于laurentii的产油性质，它对干旱植物的积极影响可能是由脂肪酸的产生和植物的吸收来解释的。脂肪酸浓度的增加支持了这一点，特别是在酵母处理过的植物的根部（增加了205.3 %）。

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