Fibrillin gene family and its role in plant growth, development, and abiotic stress
Fibrillins (FBNs), highly conserved plastid lipid-associated proteins (PAPs), play a crucial role in plant physiology. These proteins, encoded by nuclear genes, are prevalent in the plastoglobules (PGs) of chloroplasts. FBNs are indispensable for maintaining plastid stability, promoting plant growth and development, and enhancing stress responses. The conserved PAP domain of FBNs was found across a wide range of photosynthetic organisms, from plants and cyanobacteria. FBN families are classified into 12 distinct groups/clades, with the 12th group uniquely present in algal-fungal symbiosis. This mini review delves into the structural attributes, phylogenetic classification, genomic features, protein-protein interactions, and functional roles of FBNs in plants, with a special focus on their effectiveness in mitigating abiotic stresses, particularly drought stress.
Editorial: Applicative and ecological aspects of mycorrhizal symbioses
Phytochemical profiling, antioxidant, enzymatic inhibitory, and antibacterial activities of
, a member of the Namaceae family, is a source of metabolites and has been traditionally used as an anti-inflammatory. This work aimed to determine the total phenolic content (TPC), total flavonoid content (TFC), antioxidant effect, inhibition of α-glucosidase and cholinesterase enzymes (AChE, BChE), and antibacterial activity of the methanolic extract (ME) and subfractions of . The findings revealed that ME and its subfractions exhibited significant antioxidant capacity, with the ethyl acetate fraction being the most active, displaying an IC of 17.66 µg/mL against the 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical and 10.31 µg/mL against 2,2'-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt (ABTS). This activity was attributed to its high total phenolic content (357.47 mg GAE/g). Furthermore, fractions showed marked antimicrobial properties against human pathogen strains with Minimum Bactericidal Concentration (MBC) values of 1.56-6.25 mg/mL for , and . Furthermore, aqueous fraction exhibited slight inhibition of acetylcholinesterase (IC: 915.98 µg/mL) and butyrylcholinesterase (IC: 380.42 µg/mL). Interestingly, EF showed the greatest inhibitory effect of α-glucosidase (IC: 38.44 µg/mL) which is more potent than the control used, acarbose (IC: 179.07 µg/mL). UHPLC-QTOF-MS analysis identified forty compounds, including phenolic acids, flavonoids, saponins, terpenes, and fatty acyls. As far as we know, this is the first study to evaluate the chemical composition and biological potential of . Our results provide the first evidence to the chemical knowledge of the species and demonstrate its bioactive potential as an interesting source of secondary metabolites with possible beneficial properties for health.
Study on the correlation between alkaloids and tastes of Rhizome from four species based on UHPLC-QQQ-MS/MS combined with electronic tongue technique
Taste is one of the vital indicators for the quality evaluation of rhizome (CR), but the traditional taste evaluation lacks objectivity. By establishing the correlation between CR's tastes and alkaloids, an objective basis for the taste evaluation was established.
Genome-wide analysis of the cytochrome P450 monooxygenase superfamily and uncovering candidate genes for improved herbicide tolerance
is an economically important crop, yet weed management remains a significant challenge due to limited herbicide options. Cytochrome P450 enzymes play crucial roles in plant metabolism, including herbicide detoxification. This study aimed to identify and characterize the CYP gene family in Cannabis and investigate their potential role in herbicide metabolism. We identified 225 CYP proteins encoded by 221 genes in the Cannabis genome, classified into 9 clans and 47 families. The majority of CsCYPs were predicted to be located in endomembrane system and chromosomal mapping revealed that they were present in all the chromosomes. Motif and gene structure analysis supported the results from phylogenetic analysis. The gene duplication analysis results showed that tandem duplication plays a pivotal role in evolutionary expansion of CsCYP superfamily. Promoter analysis revealed various cis-acting elements involved in stress, light, hormone and development responses. Molecular docking simulations identified several CsCYPs with strong binding affinities to ALS-inhibiting herbicides, particularly bispyribac-sodium, propoxycarbazone-sodium, and pyriftalid. CsCYP_215, CsCYP_213, CsCYP_217 and CsCYP_14 emerged as promising candidates for herbicide metabolism. Analysis of binding site residues revealed the importance of hydrophobic and aromatic interactions in herbicide binding. This study provides the first comprehensive characterization of the CYP gene family in and offers new insights into their potential roles in herbicide metabolism. The identification of promising herbicide-metabolizing CYP candidates opens new avenues for developing herbicide-tolerant Cannabis varieties, potentially addressing key challenges in weed management and crop productivity.
Evaluating the accuracy of nine canopy resistance models in estimating winter wheat evapotranspiration using the Penman-Monteith equation
Accurate estimation of farmland evapotranspiration (ET) is crucial for agricultural production. The accuracy of the widely used Penman-Monteith (PM) equation for estimating crop ET depends on the quality of input data and their ability to accurately model the canopy resistance ( ). In this study, we evaluated the PM equation in estimating winter wheat ET using nine models, with both original and recalibrated parameters, including the Farias (FA), Monteith (MT), Garcίa-Santos (GA), Idso (IS), Jarvis (JA), Katerji-Perrier (KP), Stannard (ST), Todorovic (TD), and Coupled surface resistance (CO) models. We used long-term measurements (2018 to 2023) from the Bowen ratio energy balance method at both daily and seasonal scales. Parameterization was performed using data from the 2020-2021 growing season, while the remaining 4 years were used for verification. The results showed that the FA, KP, and ST models performed better in estimating daily ET with original parameters, achieving a root mean square error (RMSE) of 1.07-1.16 mm d and a mean bias error (MBE) of -0.59-0.02 mm d. After parameterization, the performance of acceptable models based on RMSE (ranging from 1.07 to 1.22 mm d, averaged 1.16 mm d) ranked as follows on the daily scale: FA > CO > KP > ST > IS > GA > JA > MT. The models were more accurate in simulating ET on a seasonal scale than on the daily scale. Before calibration, the acceptable FA, KP, and MT models overestimated seasonal ET with the MBE ranging from 2.83 to 75.32 mm and RMSE from 29.79 to 82.38 mm. After correction, the suitable models based on RMSE values decreased by FA > CO > KP > IS > ST > GA > JA on the seasonal scale, which ranged from 29.79 to 76.35 mm. The performance of the revised models improved on both daily and seasonal scales, with RMSE reductions of 29.03% and 68.18%, respectively. Considering both the accuracy and calculation complexity, the FA and KP models were recommended to be used in the PM equation to estimate daily and seasonal ET in semiarid regions. The CO, GA, ST, IS, and JA models can also be used as alternatives, depending on the availability of meteorological parameters.
RNA-seq and metabolomic analyses of beneficial plant phenol biochemical pathways in red alder
Red alder () has highly desirable wood, dye pigment, and (traditional) medicinal properties which have been capitalized on for thousands of years, including by Pacific West Coast Native Americans. A rapidly growing tree species native to North American western coastal and riparian regions, it undergoes symbiosis with actinobacterium via their nitrogen-fixing root nodules. Red alder's desirable properties are, however, largely attributed to its bioactive plant phenol metabolites, including for plant defense, for its attractive wood and bark coloration, and various beneficial medicinal properties. Integrated transcriptome and metabolome data analyses were carried out using buds, leaves, stems, roots, and root nodules from greenhouse grown red alder saplings with samples collected during different time-points (Spring, Summer, and Fall) of the growing season. Pollen and catkins were collected from field grown mature trees. Overall plant phenol biochemical pathways operative in red alder were determined, with a particular emphasis on potentially identifying candidates for the long unknown gateway entry points to the proanthocyanidin (PA) and ellagitannin metabolic classes, as well as in gaining better understanding of the biochemical basis of diarylheptanoid formation, i.e. that help define red alder's varied medicinal uses, and its extensive wood and dye usage.
Identifying the earliest citrus responses to Liberibacter asiaticus infection: a temporal metabolomics study
The global citrus industry faces a great threat from Huanglongbing (HLB), a destructive disease caused by ' Liberibacter asiaticus' (Las) that induces significant economic losses without any known cure. Understanding how citrus plants defend against HLB, particularly at the early stages of infection, is crucial for developing long-term solutions. This study investigated the earliest metabolic responses of fresh citrus leaves to Las infection using untargeted metabolomics and machine learning models. HLB-tolerant and HLB-sensitive cultivars were compared to analyze their biochemical reactions within 48 hours post-infection. HESI/Q-Orbitrap MS analysis identified temporal differential metabolites, revealing distinct metabolic pathways activated in response to Las infection. Both cultivars responded by increasing specific metabolite concentrations, such as flavonoids, within 2 hours post-infection, but the HLB-tolerant cultivar maintained higher levels throughout the 48-hour period. This early metabolic activity could influence long-term plant health by enhancing disease resistance and reducing pathogen impact. These findings provide potential biomarkers for breeding HLB-resistant cultivars and offer valuable insights for developing sustainable management strategies to mitigate the impact of HLB on the citrus industry, ensuring its long-term productivity and economic viability.
Editorial: The role of water stress and soil texture on plant roots anatomy, architecture, and senescence
Transcriptome and metabolome analyses provide crucial insights into the adaptation of chieh-qua to infection
Chieh-qua ( Cogn. How) is a wax gourd variety that is generally susceptible to infection and damage by during its cultivation. Therefore, analyzing the adaption mechanism of chieh-qua to infection is of great significance for cultivating resistant varieties.
Exploring the impact of key physicochemical properties of rice on taste quality and instant rice processing
Taste quality is one of the most important indicators for assessing the quality of rice. However, there has been a lack of systematic studies investigating the impact factors of taste quality. In this study, chromosomal segment substitution lines (CSSLs) with notable differences in physicochemical properties were obtained by screening the CSSL population. A correlation analysis between the physicochemical properties and the taste qualities of rice revealed that amylose and protein content are significantly negatively correlated with the taste value of both freshly cooked and rehydrated instant rice. The alkali spreading value (ASV) had limited impact on the taste value of rice, but low-ASV rice is more resistant to cooking. Grain chalkiness played a critical role in maintaining the integrity of freshly cooked rice and instant rice grains after rehydration. In summary, our study provides crucial insights and guidance for rice breeding, with the goal of developing excellent quality and enhancing the processing of instant rice.
Computational proteomics analysis of for the identification of antifungal drug targets and validation with commercial fungicides
is a plant-pathogenic fungus and a responsible agent for causing peach leaf curl disease. affects peach fruit production and contributes to global economic losses. Commercial fungicides may provide temporary relief; however, their overuse resulted in adverse environmental consequences as well as led to drug-resistant strains of . Therefore, the discovery of novel drug targets for the future synthesis of antifungal drugs against is needed. Here we studied by computational proteomics approaches. The whole genome and proteome of . were subjected to subtractive proteomics, high-throughput virtual screening, and molecular dynamic simulations. We employed subtractive proteomics analysis of 4,659 proteins extracted from UniProtKB database; after filtering out homologous and non-essential proteins, we identified 189 essential ones, including nine that participated in the crucial metabolic pathways of the pathogen. These proteins were categorized as nuclear ( = 116), cytoplasmic ( = 37), and membrane ( = 36). Of those essential proteins, glutamate-cysteine ligase (GCL) emerged as one promising target due to its essential function for glutathione biosynthesis process which facilitates survival and pathogenicity. To validate GCL as an antifungal target, virtual screening and molecular docking studies with various commercial fungicides were carried out to better characterize GCL as a drug target. The data showed strong binding affinities for polyoxin D, fluoxastrobin, trifloxystrobin, and azoxystrobin within the active site of GCL. Polyoxin D showed a strong affinity when the measured docking score was at -7.34 kcal/mol, while molecular dynamics simulations confirmed stable interactions (three hydrogen bonds, two hydrophobic bonds, and one salt bridge interaction), supporting our findings that GCL represents an excellent target for antifungal drug development efforts. The results showed that GCL, as an innovative target for future fungicide designs to combat , provides an avenue toward creating more effective peach leaf curl disease treatments while mitigating environmental harm caused by its current use.
Arabidopsis root apical meristem adaptation to an osmotic gradient condition: an integrated approach from cell expansion to gene expression
Climate change triggers abiotic stress, such as drought and high salinity, that can cause osmotic stress. Water availability can limit plant growth, and the root tip tissues initially sense it. Most experiments destined to understand root growth adaptation to osmotic stress apply homogeneous high osmotic potentials (osmotic shock) to shoots and roots. However, this treatment does not represent natural field conditions where a root may encounter increasing osmotic potentials while exploring the soil. Osmotic shock severely reduces root growth rate, decreasing cell division in the proximal meristem and reducing mature cell length. In this work, we developed an osmotic gradient experimental system with increasing osmotic potentials. The system generates a controlled osmotic gradient in the root growth zone while exposing the aerial tissues to control conditions. The osmotic gradient system allowed Arabidopsis seedlings of Col-0 and mutant (affected in the gene TETRATRICOPEPTIDE THIOREDOXIN-LIKE 1 ()) to sustain proper root growth for 25 days, reaching osmotic potentials of -1.2 MPa. We demonstrated that roots of seedlings grown in the osmotic gradient sustain a higher root growth rate than those that were grown under a homogeneous high osmotic potential. Furthermore, we found out that the expression of some genes is modified in the roots grown in the osmotic gradient compared to those grown in osmotic shock. Our data indicate that using an osmotic gradient can improve our understanding of how plants respond to osmotic stress and help find new genes to improve plant field performance.
Suspended soils enrich local forest floor soils during the rainy season in a tropical monsoon rainforest of Hainan Island, South China
Epiphytic plants are abundant in rainforests and often serve as traps for litter and dust falling from the canopy. As it accumulates, this material can form nutrient rich soils, which are likely involved in local nutrient cycling and ecological processes.
MS-YOLOv8: multi-scale adaptive recognition and counting model for peanut seedlings under salt-alkali stress from remote sensing
The emergence rate of crop seedlings is an important indicator for variety selection, evaluation, field management, and yield prediction. To address the low recognition accuracy caused by the uneven size and varying growth conditions of crop seedlings under salt-alkali stress, this research proposes a peanut seedling recognition model, MS-YOLOv8.
Transcriptome and genome-wide analysis of the potential role of gene family in the development of floral organs of two related species of
is an important plant germplasm resource, rich in nutrients and possessing unique medicinal value. However, due to its small floral organs, low seed setting rate of a single flower, high cost of artificial emasculation, and artificial pollination, the use of male sterile lines to prepare hybrids has become a common choice. In this study, var. Makino and were used as materials to study the regulation mechanism of anther development, aiming to provide a reference for male sterility. Through transcriptome differential gene screening and genome-wide bioinformatics analysis, 34 (S-phase kinase-associated protein 1) genes ( to ) were identified in the whole genome of The genes are unevenly distributed on eight chromosomes. Furthermore, two pairs of collinear relationships are evident among family members, and fragment replication events between genes have been identified. The phylogenetic tree analysis demonstrated that the , and genes were clustered into six groups, exhibiting a gene structure analogous to that observed in members of an evolutionary classification. A combination of gene structure and phylogenetic analysis revealed the presence of cis-acting elements associated with growth, hormone regulation, and stress response within the genes. Furthermore, expression analysis demonstrated that the genes exhibited differential expression patterns across various tissues of . The tissue-specific expression of the gene was verified by Real-Time PCR. A comparison of the two materials revealed significant differences in the expression of the gene in floral buds, the gene in inflorescence meristems, and the gene in inflorescence meristems, scapes, and floral buds. The results indicated that the three genes may be involved in anther development, thereby providing a theoretical basis for further study of floral organ development and pollen development in family members.
Differential impact of plant-based selenium nanoparticles on physio-biochemical properties, antioxidant defense system and protein regulation in fruits of huanglongbing-infected 'Kinnow' mandarin plants
Huanglongbing disease (HLB) is the most severe citrus disease destroying L. 'Kinnow', the most commonly grown mandarin in Pakistan. It is caused by Liberibacter bacterial species and it spreads through the sucking Asian citrus psyllid insect. The current study was designed to investigate the potential impact of plant extract mediated selenium nanoparticles (SeNPs) on antioxidant defense system, fruit quality and protein regulation in the fruits of HLB-infected 'Kinnow' mandarin plants. Garlic cloves extract was used as reducing and capping agent for the synthesis of SeNPs. Various concentrations of SeNPs (25, 50, 75, and 100 mg L) were exogeneously applied to HLB-positive citrus plants. SeNPs at the concentration of 75 mg L affected positively fruit physio-biochemical parameters, e.g., peel thickness, peel weight, fruit weight, fruit diameter, total soluble solids, juice volume, ascorbic acid content and reduced total acidity. Furthermore, SeNPs also enhanced the amounts of total protein and total sugar as well as elevated antioxidant enzymes, e.g., superoxide dismutase, peroxidases, and catalases. Non-enzymatic antioxidant content, e.g., total phenolic and total flavonoids, was also elevated. Proteomics analysis revealed that exposure to SeNPs at the concentration of 75 mg·L significantly altered in HLB infected mandarin fruting plants the expression of proteins associated with transcription, protection, cell wall biogenesis, cell wall organization, reproduction, stamen formation, embryo development, inflorescence development, as well as translation and response to oxidative stress. Our results revealed that foliar application of SeNPs influences the protein contents positively, therefore ameliorating fruit physio-biochemical quality by boosting antioxidant defense systems of HLB-infected 'Kinnow' mandarin plants.
Effect of planting methods and tillage practices on soil health and maize productivity
To increase the crop yield, the amount of agrochemicals used in field has increased in recent years. Moreover, indiscriminate use of chemical fertilizers has led to soil deterioration and compaction. Inclusion of straw and tillage practices to the field could play an important role in improving the soil quality and crop yield. Therefore, we hypothesized that combination of straw return and different tillage practices would result in improvement in soil health and crop productivity.
The maize gene encoding an SBP transcription factor confers osmotic resistance in transgenic
Among the major abiotic stresses, salt and drought have considerably affected agricultural development globally by interfering with gene expression profiles and cell metabolism. Transcription factors play crucial roles in activating or inhibiting the expression of stress-related genes in response to abiotic stress in plants. In this study, the Zea mays L. SQUAMOSA promoter-binding protein gene (ZmSBP17) was identified, and the molecular regulatory mechanism of osmotic stress tolerance was analyzed. Phylogenetic analysis confirmed that ZmSBP17 is part of the SBP gene family and is closely related to OsSBP17. The ZmSBP17-GFP fusion protein exhibited green fluorescence in the nucleus, as determined via tobacco epidermal transient transformation system. Acting as a transcriptional activator, the overexpression of ZmSBP17 in Arabidopsis significantly enhanced the expression of genes encoding superoxide dismutases (CSD1/2, MSD1), catalases (CAT1/2), ascorbate peroxidase 1 (APX1), and myeloblastosis transcription factors (AtMYB53/65), which increased the activity of reactive oxygen species (ROS)-scavenging enzymes and reduced ROS levels. Additionally, the expression of abiotic stress-related genes, such as AtDREB2A and AtNHX1, was significantly upregulated by ZmSBP17. Furthermore, ZmSBP17 specifically bound to cis-acting elements containing GTAC core sequences in the promoters of stress-related genes, suggesting that ZmSBP17 regulates the transcription of certain genes by recognizing these sequences. These results indicate that the overexpression of ZmSBP17 in Arabidopsis thaliana significantly increased tolerance to osmotic stress during the germination and seedling stages, which may enhance our understanding of the biological functions of SBPs in maize under abiotic stresses.
Effects of limiting environmental conditions on functional traits of L. vegetative shoots
L. is a widespread liana that significantly influences forest ecosystems in temperate zones, exhibiting high adaptability to varying soil moisture and light levels. In this study, it was confirmed that dominates the herbaceous layer of the Kórnik Arboretum (Poland), with clear links between its above-ground biomass and key environmental factors. The study revealed that, under intense soil shading, the leaf to stem biomass ratio was disproportional, favoring leaves. Leaf and stem water content reflected the plant's adaptation to soil moisture, aligning with its field capacity. Strong relationships were found between leaf water content and soil moisture, while the correlations between leaf water content and light availability were weaker. The study also confirmed positive relationships between daily light integral and leaf water content, with a less pronounced effect on stem water content. These results enhance understanding of 's role in temperate forests and its impact on ecosystem regeneration.
Research on the construction of a knowledge graph for tomato leaf pests and diseases based on the named entity recognition model
Tomato leaf pests and diseases pose a significant threat to the yield and quality of Q6 tomatoes, highlighting the necessity for comprehensive studies on effective control methods.