Frontiers in Plant Science最新文献

{"title":"Image-based yield prediction for tall fescue using random forests and convolutional neural networks.","authors":"Sarah Ghysels, Bernard De Baets, Dirk Reheul, Steven Maenhout","doi":"10.3389/fpls.2025.1549099","DOIUrl":"https://doi.org/10.3389/fpls.2025.1549099","url":null,"abstract":"<p><p>In the early stages of selection, many plant breeding programmes still rely on visual evaluations of traits by experienced breeders. While this approach has proven to be effective, it requires considerable time, labour and expertise. Moreover, its subjective nature makes it difficult to reproduce and compare evaluations. The field of automated high-throughput phenotyping aims to resolve these issues. A widely adopted strategy uses drone images processed by machine learning algorithms to characterise phenotypes. This approach was used in the present study to assess the dry matter yield of tall fescue and its accuracy was compared to that of the breeder's evaluations, using field measurements as ground truth. RGB images of tall fescue individuals were processed by two types of predictive models: a random forest and convolutional neural network. In addition to computing dry matter yield, the two methods were applied to identify the top 10% highest-yielding plants and predict the breeder's score. The convolutional neural network outperformed the random forest method and exceeded the predictive power of the breeder's eye. It predicted dry matter yield with an R² of 0.62, which surpassed the accuracy of the breeder's score by 8 percentage points. Additionally, the algorithm demonstrated strong performance in identifying top-performing plants and estimating the breeder's score, achieving balanced accuracies of 0.81 and 0.74, respectively. These findings indicate that the tested automated phenotyping approach could not only offer improvements in cost, time efficiency and objectivity, but also enhance selection accuracy. As a result, this technique has the potential to increase overall breeding efficiency, accelerate genetic progress, and shorten the time to market. To conclude, phenotyping by means of RGB-based machine learning models provides a reliable alternative or addition to the visual evaluation of selection candidates in a tall fescue breeding programme.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"16 ","pages":"1549099"},"PeriodicalIF":4.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936891/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nitrogen allocation among leaves and roots mediates the interaction between plant life history trade-off and density dependence.","authors":"Junkang Cheng, Shixiao Yu","doi":"10.3389/fpls.2025.1549801","DOIUrl":"https://doi.org/10.3389/fpls.2025.1549801","url":null,"abstract":"<p><strong>Introduction: </strong>Carbon, nitrogen and phosphorus, as the basic components of plants, determine plant growth and adaptation strategies, while there are certain differences in nutrient allocation among different plant organs. However, little is known about the manner in which resource allocation mediates the plant life history strategy.</p><p><strong>Methods: </strong>Here, we collected three census field survey datasets from the Heishiding 50-ha dynamic plot showing functional traits and nutrient allocation among leaves and roots (⍺_nutrient) from 92 woody species to determine the relationship between nutrient allocation and the plant life history strategy.</p><p><strong>Results: </strong>Carbon allocation ⍺_carbon was mainly determined by intraspecific variation while nitrogen allocation ⍺_nitrogen and phosphorus allocation ⍺_phosphorus was determined by interspecific variation. Species allocating more nitrogen to leaves showed greater resource acquisition traits, while species allocating more nitrogen to roots showed greater resource conservation traits. We found a trade-off between the plant relative growth rate and conspecific density dependence; fast-growing species showed higher mortality with conspecific neighbors but tended to allocate more nitrogen to leaves rather than roots.</p><p><strong>Discussion: </strong>Our study revealed interspecific variation in nutrient allocation among leaves and roots as well as their relationship with functional traits and the plant life history strategy.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"16 ","pages":"1549801"},"PeriodicalIF":4.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936912/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of genetic factors influencing flavonoid biosynthesis through pooled transcriptome analysis in mungbean sprouts.","authors":"Yeonghun Cho, Hakyung Kwon, Byeong Cheol Kim, Donghwan Shim, Jungmin Ha","doi":"10.3389/fpls.2025.1540674","DOIUrl":"https://doi.org/10.3389/fpls.2025.1540674","url":null,"abstract":"<p><strong>Introduction: </strong>Mungbean (<i>Vigna radiata L</i>.) is gaining increasing interest among legume crops because of its nutritional value. Various secondary metabolites that act as antioxidants and bioactive compounds are beneficial for human health. The secondary metabolite content in plants is easily influenced by environmental conditions, and this influence varies depending on the genotype.</p><p><strong>Materials and methods: </strong>Here, we screened six genotypes with consistently high and low content of major secondary metabolites (gallic acid, chlorogenic acid, neo-chlorogenic acid, genistin, formononetin, catechin, syringic acid, and resveratrol) across environmental replicates. Transcriptome data obtained from the individual genotypes were pooled into two groups: high and low levels of secondary metabolites.</p><p><strong>Results and discussion: </strong>Of the 200 differentially expressed genes identified using stringent criteria, 23 were annotated in the secondary metabolite pathway. By combining the results of the secondary metabolite and transcriptome data, we identified six key genes encoding four enzymes (<i>CCoAOMT1</i>; Caffeoyl-CoA O-methyltransferase, <i>CYP81E1</i>; 4'-methoxyisoflavone 2'-hydroxylase, <i>DFR</i>; dihydroflavonol-4-reductase, and <i>HCT</i>; shikimate O-hydroxycinnamoyltransferase) that commonly influence the content of secondary metabolites (catechin, chlorogenic acid, formononetin, and genistin) in mungbeans. Through regulatory network analysis, NAC042 and MYB74 transcription factors were identified. These transcription factors regulate the expression of four key genes in mungbean, <i>CCoAOMT1(Vradi02g00000724.1), CYP81E1(Vradi09g00002897.1), DFR(Vradi07g00001336.1)</i>, and <i>HCT(Vradi07g00000614.1)</i> leading to high flavonoid content.</p><p><strong>Conclusion: </strong>These results provide information on the common genetic factors involved in the production of secondary metabolites, which can improve the nutritional value of mungbeans and contribute to the development of elite mungbean cultivars.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"16 ","pages":"1540674"},"PeriodicalIF":4.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936997/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Antibacterial potential of silver-selenium nanocomposites in mitigating fire blight disease in <i>Pyrus communis</i> L.","authors":"Muhammad Imran, Muhammad Umer, Naveed Iqbal Raja, Fozia Abasi, Nimra Sardar, Ubaidur Rahman, Syed Azaz Mustafa Naqvi, Muhammad Yousuf Jat Baloch, Abdulwahed Fahad Alrefaei","doi":"10.3389/fpls.2025.1541498","DOIUrl":"https://doi.org/10.3389/fpls.2025.1541498","url":null,"abstract":"<p><p><i>Pyrus communis</i> L. is a vital fruit tree known for its nutritional and economic importance. Thus, for humans, it is an essential element for their balanced nutritional diet, as it contains the major dietary fibers, vitamins, and minerals. All of these nutritionally important aspects decrease with the impact of disease fire blight. <i>Erwinia amylovora</i> is a causative agent of fire blight. This infection causes a considerable loss in the production of <i>Pyrus communis</i> L. Annually, approximately 50% of pear fruit in Pakistan is misplaced because of these illnesses. Therefore, we propose nanotechnology remediation to treat pear plants and obtain the desired yield. In this regard, an experiment was designed to treat infected plants with different concentrations of silver-selenium nanocomposites, which was based on a literature review that indicated the antimicrobial activities of silver and selenium nanoparticles. Silver-selenium nanocomposites were prepared using a green synthesis method, and their synthesis was confirmed using characterization techniques. The experiment was performed at a farmhouse in Chakwal district, Punjab, Pakistan. The experimental results showed increased morphological, physiological, and biochemical parameters. In this regard, the best treatment remained at 50 ppm for the Ag-Se nanocomposite, which improved the plant in different aspects. At the same time, they have improved fruit metrics, such as vitamin C, pH, and juice content. Thus, these results show a possible improvement in enhancing the resistance against fire blight by using green-synthesized Ag-Se NCs. Further studies are needed to understand fully the molecular mechanisms and actions of <i>Pyrus communis</i> L. in treating fire blight disease and to establish the optimal treatment plan.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"16 ","pages":"1541498"},"PeriodicalIF":4.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936962/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regulation of alfalfa growth, water and nitrogen utilization and distribution in arid region of Northwest China by optimizing irrigation method.","authors":"Hongxiu Ma, Peng Jiang, Xiaojuan Zhang, Ruliang Liu, Quan Sun, Lei Wang","doi":"10.3389/fpls.2025.1517398","DOIUrl":"https://doi.org/10.3389/fpls.2025.1517398","url":null,"abstract":"<p><p>The water and nitrogen use efficiency of alfalfa is very low in the arid region of Northwest China currently. In this field experiments in 2022 and 2023, the effects of traditional flood irrigation (FI-12, 1200 mm; FI-8, 880 mm), sprinkler irrigation (SI-8, 880 mm; SI-5, 520 mm), and subsurface drip irrigation (DI-5, 520 mm; DI-8, 880 mm)) on alfalfa yield, water use efficiency (WUE), and nitrogen use efficiency (NUE) were studied. The results showed that the DI and SI treatments, especially DI-5, increased alfalfa seed yield by increasing the number of inflorescences and pods compared with the FI treatments. The DI and SI treatments, especially DI, reduced water loss during the first two crops in each growing season compared with the FI treatments, improving the WUE. The DI treatments had the lowest root/shoot ratio (R/S), which facilitated the distribution of photosynthetic products to the reproductive organs and inhibited the overgrowth of the root system. The small R/S in the late growth stage of the DI-5 treatment also helped to achieve high WUE. Besides, the DI treatments also had the largest root length density, which promoted the uptake and utilization of water and nitrogen by alfalfa. The DI treatments increased the nitrogen accumulation of plants, and reduced the soil nitrate (NO₃ ^--N) leaching and NH₃ volatilization at maturity stage compared with the SI and FI treatments, improving the NUE. In summary, the subsurface drip fertigation, especially DI-5, coordinated the vegetative and reproductive growth, and reduced the water loss, nitrate leaching, and NH₃ volatilization, improving the seed yield, WUE, and NUE of alfalfa. This study will advance understanding of the mechanism of subsurface drip irrigation regulating alfalfa root growth and water and nitrogen use, and provide a scientific basis for the application of subsurface drip fertigation in arid and semi-arid areas.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"16 ","pages":"1517398"},"PeriodicalIF":4.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936995/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploration of biophoton characteristics of fresh <i>Isatis indigotica</i> fort leaves under salt and drought stresses and the feasibility analysis for the quality prediction of <i>Isatidis Folium</i>.","authors":"Zhiying Wang, Baorui Cao, Yueyue Ma, Weifan Xu, Jialei Fu, Zhongwen Zhang, Jinxin Du, Tingting Deng, Jingxiang Pang, Meina Yang, Jinxiang Han","doi":"10.3389/fpls.2025.1523636","DOIUrl":"https://doi.org/10.3389/fpls.2025.1523636","url":null,"abstract":"<p><strong>Introduction: </strong><i>Isatidis Folium</i>, derived from the dried leaves of <i>Isatis indigotica</i> Fort, has been used for centuries as a traditional Chinese herb with antibacterial and antiviral properties. However, both the cultivation conditions and the growth status of <i>Isatis indigotica</i> Fort have been negatively affected by climatic and environmental degradation, which has made it challenging to accurately assess the quality of <i>Isatidis Folium</i>. The current quality control system for <i>Isatidis Folium</i> lacks precision and comprehensive identification indices, and importantly, the cultivation process has not been integrated into this system.</p><p><strong>Methods: </strong>In this study, we proposed a novel method to distinguish between different stress subtypes in <i>Isatis indigotica</i> Fort based on biophoton emission and attempted to explore the potential relationship between the biophoton characteristics of fresh <i>Isatis indigotica</i> Fort leaves and the quality of <i>Isatidis Folium</i>. The delayed luminescence (DL) and spontaneous photon emission (SPE) characteristics of fresh <i>Isatis indigotica</i> Fort leaves under different stress conditions were detected using a biophoton detection system. An attempt was made to differentiate samples subjected to various stress treatments using biophoton characteristic parameters. Additionally, the content of active ingredients was determined by ultra-high performance liquid chromatography, and the inhibitory activity against Escherichia coli and Staphylococcus aureus was evaluated to identify the quality of <i>Isatidis Folium</i>. Several physiological indicators of fresh <i>Isatis indigotica</i> Fort leaves, including the photosynthetic pigment content, relative electrical conductivity, and reactive oxygen species production rate were also determined.</p><p><strong>Result: </strong>The differences in physiological indices, active ingredient content, and inhibitory activity indicated that the stress conditions significantly inhibited the growth status of <i>Isatis indigotica</i> Fort leaves and the herbal quality. Meanwhile, biophoton characteristic parameters were obtained that could accurately and efficiently distinguish fresh <i>Isatis indigotica</i> Fort leaves between different stress subtypes: initial intensity of DL and counts per second of SPE. Both characteristic parameters were highly correlated with the physiological indicators and quality of <i>Isatidis Folium</i>.</p><p><strong>Discussion: </strong>This study has preliminarily demonstrated the feasibility of utilizing biophoton detection technology for the quality evaluation of <i>Isatidis Folium</i> during cultivation for the first time and provided an improved method for distinguishing samples of various qualities.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"16 ","pages":"1523636"},"PeriodicalIF":4.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11937020/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive management for alpine grassland of the Tibetan Plateau based on a multi-criteria assessment.","authors":"Tianyu Zhan, Shurong Zhang, Wenwu Zhao","doi":"10.3389/fpls.2025.1518721","DOIUrl":"https://doi.org/10.3389/fpls.2025.1518721","url":null,"abstract":"<p><p>With the increasing threats of global climate change and human activities to terrestrial ecosystems, understanding the quality of alpine grassland ecosystems and their influencing factors is fundamental for effective ecosystem management and improving human well-being. However, current adaptive management plans for alpine grasslands based on multi-criteria assessment are limited. This study utilized field investigations at 77 sampling points, drone remote sensing, and satellite remote sensing data to construct an alpine grassland quality index based on vegetation and soil indicators, and assess the ecosystem's resilience and pressure. The assessment revealed that the alpine grasslands of the Tibetan Plateau were classified into five zones, indicating significant differences in quality and pressure levels. Key findings showed that the High-Quality Pressure Zone comprise 41.88% of the area of alpine meadow and 31.89% of alpine steppe, while the Quality Improvement-Limitation Zone account for 21.14% and 35.8% of the respective areas. The study recommends graded protection and recovery strategies for alpine grasslands based on quality levels: prioritizing high-quality grasslands, implementing dynamic monitoring and enhancement for moderate-quality grasslands, and applying artificial interventions and suitable species for low-quality grasslands. This research underscores the importance of zoning-based adaptive strategies for sustainable ecosystem management and provides valuable insights for effective management and protection of alpine grasslands in the Tibetan Plateau.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"16 ","pages":"1518721"},"PeriodicalIF":4.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11937058/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gravacin as an inhibitor of the auxin transport-activating protein kinase D6PK in <i>Arabidopsis</i>.","authors":"Meng Chen, Zhisen Yang, Yakun Peng, Lianghanxiao Sun, Xin Liu, Linfeng Sun, Shutang Tan","doi":"10.3389/fpls.2025.1563571","DOIUrl":"https://doi.org/10.3389/fpls.2025.1563571","url":null,"abstract":"<p><p>The phytohormone auxin plays a central role in plant growth and development. D6PK, a member of the AGC kinase family, phosphorylates PIN-FORMED (PIN) auxin transporters, thereby regulating PIN activity and polar auxin transport. In this study, we demonstrated that gravacin, a synthetic compound, functions as an inhibitor that targets D6PK in plants. Physiological and cell biology experiments revealed that the phenotypes of gravacin-treated plants were similar to those of <i>d6pk d6pkl1 d6pkl2 (d0 d1 d2)</i> triple mutants. Furthermore, <i>in vitro</i> kinase assays confirmed that gravacin directly inhibited the kinase activity of D6PK. Thus, by combining phenotypic analysis with cell biological and biochemical experiments, this research revealed that gravacin is an inhibitor of D6PK and elucidated the underlying mechanism. Our work provides a chemical tool that can be used to further dissect the role of D6PK and related physiological processes.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"16 ","pages":"1563571"},"PeriodicalIF":4.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938129/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the stability of indoor farming systems using data outlier detection.","authors":"Jean Pompeo, Ziwen Yu, Chi Zhang, Songzi Wu, Ying Zhang, Celina Gomez, Melanie Correll","doi":"10.3389/fpls.2024.1270544","DOIUrl":"https://doi.org/10.3389/fpls.2024.1270544","url":null,"abstract":"<p><strong>Introduction: </strong>This study investigates the quality of air temperature data collected from a small-scale Controlled Environment Agriculture (CEA) system using low-cost IoT sensors during lettuce cultivation at four different temperatures. Ensuring data quality in CEA systems is essential, as it affects system stability and operational efficiency. This research aims to assess system stability by analyzing the correlation between cumulative agricultural operations (Agr.Ops) and air temperature data variability.</p><p><strong>Methods: </strong>The methodology involved collecting air temperature data from IoT sensors in the CEA system throughout lettuce cultivation trials. A generalized linear model regression analysis was conducted to examine the relationship between cumulative Agr.Ops and the z-scores of air temperature residuals, which served as an indicator of system stability. Outliers in the sensor data were identified and analyzed to evaluate their impact on system performance. Residual distribution and curve fitting techniques were used to determine the best distribution model for the sensor data, with a log-normal distribution found to be the best fit.</p><p><strong>Results: </strong>Regression analysis indicated a strong inverse relationship between cumulative Agr.Ops and residual z-scores, suggesting that increased Agr.Ops correlated with a higher presence of outliers and a decrease in system stability. The residual analysis highlighted that outliers could be attributed to potential issues such as sensor noise, drift, or other sources of uncertainty in data collection. Across different trials, the system displayed varying degrees of resistance to cumulative Agr.Ops, with some trials showing increased resilience over time.</p><p><strong>Discussion: </strong>The alternative decomposition method used effectively identified outliers and provided valuable insights into the functionality of the system under different operational loads. This study highlights the importance of addressing uncertainties in indoor farming systems by improving surrogate data models, refining sensor selection, and ensuring data redundancy. The proposed method offers a promising approach for enhancing monitoring and managing uncertainties in CEA systems, contributing to improved stability and efficiency in indoor farming.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"15 ","pages":"1270544"},"PeriodicalIF":4.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938842/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synergy of osmotic adjustment and antioxidant activity in <i>Catalpa bungei</i>: alleviating persistent drought stress from SL to NSL.","authors":"Xiaochi Yu, Junhui Wang, Wenjun Ma, Fei Yi, Peng Zhang","doi":"10.3389/fpls.2025.1536795","DOIUrl":"https://doi.org/10.3389/fpls.2025.1536795","url":null,"abstract":"<p><strong>Introduction: </strong><i>Catalpa bungei</i> C. A. Mey is a precious timber and garden tree species native to China. It is mainly distributed in the semi-arid regions of northern China, where drought stress severely affects its growth.</p><p><strong>Methods: </strong>In this study, we investigated the physiological responses and gene expression profiles of <i>C. bungei</i> seedlings subjected to a 28-day drought stress treatment.</p><p><strong>Results and discussion: </strong>By reducing stomatal conductance (Cond) and increasing proline (Pro) and soluble sugar contents (SS), <i>C. bungei</i> alleviated mild drought stress (7-14 days). Under moderate drought stress (14-21 days), a synergistic interaction of jasmonic acid (JA) and abscisic acid (ABA) enhanced catalase (CAT) activity and proline (Pro) content, while downregulating guard cell osmotic potential, thereby further decreasing stomatal conductance (Cond). Upon reaching severe drought stress (21-28 days, SWC 22%, LWC 73%), the activity of antioxidant enzymes and the content of osmotic substances continued to increase, while the structure of photosynthetic organs was damaged, resulting in a shift from stomatal limitation (SL) to non-stomatal limitation (NSL). Therefore, <i>C. bungei</i> mitigates mild drought stress through osmotic regulation, and ABA and JA coordinate antioxidant defenses and osmotic regulation as drought persists. Once the shift from SL to NSL caused by severe drought stress, the aforementioned mechanism ceases to be effective in mitigating the deleterious effects of drought stress on <i>C. bungei</i>. These findings enhance our comprehension of the mechanisms underlying <i>C. bungei</i>'s response to prolonged drought, providing valuable insights for the precise evaluation of drought intensity and facilitating efficient management of <i>C. bungei</i> plantations.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"16 ","pages":"1536795"},"PeriodicalIF":4.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936999/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}