Current Plant Biology最新文献

The Papaver genus is famous for its ability to biosynthesize a wide variety of secondary metabolites, including benzylisoquinoline alkaloids (BIAs) which have been prescribed to treat several health issues, ranging from cough to cancer. Plus, they have been evidenced to be powerful antioxidants scavenging free radical that are synthesized and accumulated when plants are striving to relieve biotic and abiotic stresses. Morphine, codeine, thebaine, noscapine, papaverine, and sanguinarine are the most well-known BIAs. The biosynthesis of BIAs is limited to organized tissues, and because the content of BIAs in these tissues is relatively low, the use of differentiated organ culture, hairy root culture, is drown much more attention. Interestingly, the biosynthetic capacity of the hairy root culture is higher than that of native plants, making them an appropriate platform for in vitro BIA production. One of the most attractive options for improving BIAs accumulation in hairy roots for both modest and massive production is to adopt biotechnological strategies. Regarding the latter, however, the bioreactor-based production of plant bioactive compounds is preceded by optimization of some factors related to machinery and culture medium. The purpose of this review is to supply comprehensive information about current and innovative biotechnological approaches which have been employed or have the potential to be applied for elevating BIA production in the Papaver hairy root culture as well as their importance from the medicinal and defensive perspectives.

Given global agricultural challenges such as population growth, climate change, and limitations on resources and the environment, as well as increasing diversity in breeding goals, relying on traditional breeding methods is inadequate to provide food security requirements and promote sustainable development. Genetic transformation technology has become an effective tool for performing functional genomics research and molecular breeding. In this study, we conducted an in-depth analysis of 1669 literary works to investigate the potential of developmental regulators (DRs) in enhancing the efficiency of plant genetic transformation, with a concentration on their use in maize. Through multi-omics data analysis, we identified 12 homologous DRs from various species that are potentially applicable to maize. We identified a total of 41 possible disease resistances (DRs) for maize genetic transformation. Further experimental verification of ZmWIND1, a novel regulator belonging to the ERF/AP2 transcription factor (TF) family, showed that it significantly improved the efficiency of plant regeneration and transformation efficiency in maize. Specifically, compared to the control group, the callus induction rates for the pG3GB411-ZmWIND1 vector increased to 60.22 % and 47.85 % in Xiang249 and Zheng58, respectively. Transformation efficiency increased to 37.5 % in Xiang249 and 16.56 % in Zheng58, both significantly surpassing the control group. These findings have the potential to broaden the range of transformable maize varieties and lines, as well as introduce new genetic transformation methods in agricultural biotechnology, underscoring the immense potential to enhance genetic transformation efficiency through systematic exploration and application of DRs in maize.

In the era of frequently changing climatic conditions along with ever increasing world population, it becomes imperative to ensure food security. The burden of biotic stresses pose serious threat to crop productivity, therefore, early and accurate detection of plant diseases is essential. Conventional methods exclusively rely on human expertise, and are often labor-intensive, time-consuming, and prone to errors. Recent advancements in machine learning (ML) offer promising alternatives by automating the disease detection processes with high precision and efficiency. We comprehensively analyze various ML techniques, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Support Vector Machines (SVMs), Random Forest (RF), and Deep Learning Architectures like ResNet and Inception, among others, highlighting their methodologies, datasets, performance metrics, and real-world applications. This systematic review provides a comprehensive analysis after text mining the most recent literature resources of the last half a decade. The review discusses the proposed models, techniques, accuracy, feature selection, extraction methods, the types of datasets used to perform experiments, and the sources of the datasets. Additionally, this review provides critical analyses of existing models in the context of their limitations and gaps. Our findings suggest that while ML based methods demonstrate substantial potential for enhancing agricultural disease management, there is a urgent need for more robust, scalable, and adaptable solutions to address diverse agricultural conditions and disease complexities. By systematically analyzing the extracted data, this review aspires to provide a valuable resource for researchers and practitioners aiming to develop and implement ML-based systems for crop disease detection, thereby contributing to sustainable agriculture and enhancing food security.

Soil salinity caused by NaCl is a major challenge to agricultural crops worldwide. For this, two WRKY transcription factors were evaluated for their role in salt stress tolerance in tomato plants (Solanum lycopersicum; Sl). SlWRKY36 and SlWRKY51 provided novel insight into the regulatory mechanism in tomato against salt stress via virus-induced gene silencing (VIGS). Salt stress significantly reduced chlorophyll-a, an abundant form of chlorophyll content to 6.0 and 5.1 mg/g and proline content to 0.06 mg/g and 0.09 mg/g respectively in SlWRKY36 and SlWRKY51 silenced tomato plants. This shows that salt stress affected proline content that act as osmo-protectant and damaged photosynthetic pigments in silenced SlWRKY36 and SlWRKY51 tomato plants. Similarly, the concentrations of Na⁺/ K⁺ ratio also showed a significantly higher trend 14 days after salt stress with 5.5 mg/g and 8.9 mg/g concentration at 200 mM for SlWRKY36 and SlWRKY51 showing silencing promotes Na+/K+ ion ratio under salt stress. Also, salt stress responsive genes such as salt overly sensitive SOS1 and Na+/H+ exchanger NHX1 displayed lower transcript level in silenced plants at 200 mM salt stress showing their negative regulation by SlWRKY36 and SlWRKY51 gene silencing. Collectively, these findings suggest for the first time the role of SlWRKY36 and SlWRKY51 as positive regulators of salt stress tolerance by managing ion homeostasis, proline content and photosynthetic machinery via transcriptional reprogramming. Overall, SlWRKY36 and SlWRKY51 were explored as potential candidates for engineering salt tolerance in tomato crop plants.

Soil salinity, a major environmental stress, restricts agricultural production worldwide. Gynura divaricata (L.) DC. is widely cultivated on tropical islands in China and has both edible and medicinal value. NaCl stress and growth indicators, antioxidant enzyme activity, as well as MDA, proline, and soluble sugar content, were determined. Based on the transcriptomic data of tissue-cultured G. divaricata plantlets grown in control (0 mM NaCl) and salt stress (50 and 200 mM NaCl) conditions, gene expression patterns were examined. KEGG enrichment analysis of differentially expressed genes indicated significant enrichment of plant hormone signaling, MAPK signaling, and starch and sucrose metabolism pathways. These findings allowed key biological pathways and salt stress-responsive genes to be identified, thus providing a molecular basis for breeding salt-tolerant G. divaricata varieties. This transcriptomic analysis revealed a complex tolerance mechanism of G. divaricata in response to NaCl, laying a foundation for screening and cloning key genes related to NaCl tolerance and studying their interactions. These findings would allow the molecular basis of NaCl tolerance to be explored, with the aim of breeding NaCl-tolerant varieties.

Esca is a grapevine trunk disease spreading in vineyards worldwide, and of rising concern since no efficient treatment is available to mitigate its impact. Trunks, grapes and leaves from symptomatic and asymptomatic Aragonês vines were collected at harvest stage to characterise plant responses associated with this fungal disease. Presence of Esca associated fungi in the trunks was confirmed by molecular methods using ITS region. Metabolomics of grapes and leaves was analysed by Gas chromatography coupled to electron impact ionization time-of-flight mass spectrometry (GC-EI/TOF-MS) and GC coupled to an EI/quadrupole MS (GC-EI/QUAD-MS and showed that both organs from symptomatic plants exhibited a different metabolic reprogramming than those from asymptomatic. Symptomatic leaves present lesser content in tricarboxylic and polyhydroxy acids, and this metabolic adjustment may involve salicylic acid metabolism. On the other hand, symptomatic fruits accumulate long-chain fatty acids probably related with cuticle reinforcement to mitigate changes in water transport caused by trunk damage, and defence-related metabolites such as α-tocopherol. Symptomatic berries also presented alterations in volatile aroma compounds such as C6-volatiles, and acetic acid suggesting an impact on subsequent wine quality. Altogether this study, identified putative metabolic markers associated with Esca disease in plants with different symptomatology and contributed to a physiological understanding of this fungal disease that could help in the development of mitigation strategies for its spread.

Elicitation and precursor feeding are the effective strategies for enhancing the synthesis of bioactive compounds in plant cell suspension cultures. The present study aimed to explore an efficient elicitation and precursor feeding protocol and its effect on inducing the accumulation of α-tocopherol in Solanum lycopersicum (tomato) suspension cell culture. The tomato cell suspension cultures were treated with different elicitors (Methyl Jasmonate, Salicylic acid and Yeast extract) and precursors (Homogentisic acid, Tyrosine, Hydroxypyruvic acid and Phytol) and the effect of α-tocopherol production was studied. Significant increase in the α-tocopherol was observed on day 5 upon methyl jasmonate treatment which represented 17.7 fold increase in comparison to the control. The treatment of precursor in combination viz., 150 μM Homogentisic acid + 150 μM Phytol showed the maximum enhancement of α-tocopherol up to 22 fold on day 10 compared to the untreated control. These results suggested that the suspension cultures combining with the optimal precursor feeding and elicitors enhanced the production of α-tocopherol in economically important tomato cell cultures.

In addition to defensins, plants possess an array of defensin-like peptides that share many of their characteristics, as well as a role in plant’s innate immunity. Their involvement in the response to pathogens is well-known but the contribution in the plant response to abiotic stimuli is not fully understood. We have undertaken an in silico analysis to characterize all defensin family genes hitherto found in Arabidopsis, including genes encoding for defensin-like peptides, by detecting several peptides as candidates for further studies aiming to decipher specific responses to biotic and abiotic stresses, as well as to their crosstalk. We performed several analyses, including co-expression and cis-regulatory elements analyses, using transcriptomic data obtained from the ARS database, which integrates more than 20,000 Arabidopsis RNA-seq libraries.

In silico analysis showed that jasmonates and ABA, together with transcription factors belonging to WRKY and AP2/EREBP families, modulate defensin and defensin-like gene expression. Indeed, the analysis performed in this study allowed to extract and organize omics data, which finally supported the inducible nature of defensins under both abiotic and biotic stresses. Moreover, in vivo expression analyses confirmed the heat and drought responsiveness of PDF1.4, ATTI1, PDF1.1, DEFL 206, defensin family genes selected for being upregulated by several abiotic conditions, at transcriptional level. Finally, the co-expression analysis provided information on other biological processes that may be correlated to the defensin induction, such as maintaining ROS homeostasis. Combining the comprehensive analysis of different transcriptional datasets with the integration of in vivo analyses emerged as a robust methodological approach to assess the proposed multi-stress responsive nature of defensin family genes.

Plants are integral components of ecosystems and key sources of food, medicine, and other resources for human societies. The interactions between micro(nano)plastics and plants have garnered significant attention in recent years due to the pervasive nature of plastic pollution and its potential impact on terrestrial and aquatic ecosystems. This study aims to analyze the current understanding, critical knowledge gaps and future perspectives on the interactions between plants and plastic residues, including microplastics, nanoplastics, microfiber, and microbeads. Data was gathered from the Web of Science Core Collection database, with 1049 documents indexed from 2009 to 2023 for further analysis. Co-citation analysis combined with co-word network analysis was utilized. The findings indicate a notable increase in publication productivity on plastic-plant interactions over the past decade, with China, India, Italy, Korea, and Spain as the core research countries in the field. Chinese universities and research institutions, particularly Naikai University and the Chinese Academy of Sciences, are the major research drivers. Weitao Liu from Naikai University was the most productive author up to 2023. Science of the Total Environment, Environmental Pollution, and Journal of Hazardous Materials were the top three journal that published the most articles. The most frequently cited article titled “Microplastics can change soil properties and affect plant performance” published in Environmental Science & Technology in 2019. The co-citation network highlights the interconnectedness of plant-plastic interactions, while burst analysis and thematic mapping suggest that future research will focus on the impact of emerging contaminants like microplastics and nanoplastics on soil health in the plastisphere. More long-scale and long-term interdisciplinary studies including plant species and polymer types at field condition are needed to a better understanding the plant-plastic interactions. This study offers a thorough and unbiased real-time analysis of plant-plastic interactions, highlighting current trends and outlining future research directions and priorities.