Oilseed Crop Research Articles

Optimized Wasserstein Deep Convolutional Generative Adversarial Network fostered Groundnut Leaf Disease Identification System

ABSTRACT Groundnut is a noteworthy oilseed crop. Attacks by leaf diseases are one of the most important reasons causing low yield and loss of groundnut plant growth, which will directly diminish the yield and quality. Therefore, an Optimized Wasserstein Deep Convolutional Generative Adversarial Network fostered Groundnut Leaf Disease Identification System (GLDI-WDCGAN-AOA) is proposed in this paper. The pre-processed output is fed to Hesitant Fuzzy Linguistic Bi-objective Clustering (HFL-BOC) for segmentation. By using Wasserstein Deep Convolutional Generative Adversarial Network (WDCGAN), the input leaf images are classified into Healthy leaf, early leaf spot, late leaf spot, nutrition deficiency, and rust. Finally, the weight parameters of WDCGAN are optimized by Aquila Optimization Algorithm (AOA) to achieve high accuracy. The proposed GLDI-WDCGAN-AOA approach provides 23.51%, 22.01%, and 18.65% higher accuracy and 24.78%, 23.24%, and 28.98% lower error rate analysed with existing methods, such as Real-time automated identification and categorization of groundnut leaf disease utilizing hybrid machine learning methods (GLDI-DNN), Online identification of peanut leaf diseases utilizing the data balancing method along deep transfer learning (GLDI-LWCNN), and deep learning-driven method depending on progressive scaling method for the precise categorization of groundnut leaf infections (GLDI-CNN), respectively.

Mitigation of drought-induced stress in sunflower (Helianthus annuus L.) via foliar application of Jasmonic acid through the augmentation of growth, physiological, and biochemical attributes

Drought stress poses a significant threat to agricultural productivity, especially in areas susceptible to water scarcity. Sunflower (Helianthus annuus L.) is a widely cultivated oilseed crop with considerable potential globally. Jasmonic acid, a plant growth regulator, plays a crucial role in alleviating the adverse impacts of drought stress on the morphological, biochemical, and physiological characteristics of crops. Experimental detail includes sunflower varieties (Armani Gold, KQS-HSF-1, Parsun, and ESFH-3391), four drought stress levels (0, 25%, 50%, and 75% drought stress), and three levels (0, 40ppm, 80ppm) of jasmonic acid. The 0% drought stress and 0ppm jasmonic acid were considered as control treatments. The experimental design was a completely randomized design with three replicates. Drought stress significantly reduced the growth in all varieties. However, the exogenous application of jasmonic acid at concentrations of 40ppm and 80ppm enhanced growth parameters, shoot and root length (1.93%, 19%), shoot and root fresh weight (18.5%, 25%), chlorophyll content (36%), photosynthetic rate (22%), transpiration rate (40%), WUE (20%), MDA (6.5%), Phenolics (19%), hydrogen peroxide (7%) proline (28%) and glycine betaine (15–30%) under water-stressed conditions, which was closely linked to the increase in stomatal activity stimulated by jasmonic acid. Furthermore, JA 80 ppm was found to be the most appropriate dose to reduce the effect of water stress in all sunflower varieties. It was concluded that the foliar application of JA has the potential to enhance drought tolerance by improving the morphological, biochemical, and physiological of sunflower.

MORPHO-PHYSIOLOGICAL DISSECTION OF HEAT TOLERANCE IN CERTAIN POOL OF SOYBEAN GENOTYPES

Under the scenario of climate change, crop diversification through the incorporation of non-conventional oilseed crops like soybean in the cropping pattern is a need of the time. However, being native to regions having mild temperatures, soybean faces difficulty in adaptation in areas of lower latitude with high temperatures and short day lengths during growing periods. This situation directs the researchers to determine the tolerance of soybean genotypes against high temperatures and to establish a selection criterion for the identification of adaptable traits. For this purpose, a study was conducted at Oilseeds Research Institute, Faisalabad. Forty soybean genotypes including approved varieties were screened for tolerance against high temperatures in the growth chamber and glass house. At the seedling stage, genotypes were categorized into tolerant, moderately tolerant, and susceptible categories based on their STI values in the growth chamber and values of certain morpho-physiological parameters in a glass house. Considering the seed yield an ultimate goal in the adaptation process, its study is crucial in field conditions. Tolerant and moderately tolerant genotypes from previous experiments were sown in the field. Data of yield and contributing traits were recorded at maturity and subjected to analysis. Results showed great variability among genotypes for all the traits. AARI Soybean gave the best yield followed by Faisal Soybean, ORI-SOY-91, and ORI-SOY-102. All of these genotypes/varieties also performed well in terms of electrolyte leakage and leaf-relative water content. To conclude, these varieties would show better adaptation in high-temperature areas. Moreover, both the varieties along with 2 best-performing genotypes may prove to be better parents in future hybridization programs.

The Effect of Fertilizers and Growth Regulators on the Productivity of Safflower (Carthamus tinctorius L.) in the Dry Climate of Russia

Background: Safflower is an oilseed crop capable of forming seeds in extreme conditions, so it can be used as an alternative to sunflower, because their growing technologies are similar. Increasing the yield of safflower seeds can be achieved intensively using agrochemicals. The proposed research results provide information on the use of mineral, micro fertilizers and growth regulators. Methods: Research was carried out in the dry steppe zone of chestnut soils. In the spirit-factor experiment, which was located on a field with an area of 300 m2, in triplicate, using two sorts of safflower. Mineral fertilizers were applied to the soil during sowing and by foliar treatment during the “budding” phase. The obtained yield results were processed by analysis of variance. Result: As a result of the research, elite safflower seeds were obtained using one of the experimental options Ultamag Bor 30 g + Biostim Growth 30 g/10 liters of water of the Alexandrite variety with a yield of 1.8 t/ha with the highest profitability of their production of 414.2%. Analysis of variance of the yield data from the experiment showed that 87% of the yield of safflower seeds depended on the use of mineral fertilizers, 0.62% on the plant variety and agro technical measures for growing safflower plants-11.8%.

Rapid single flax (Linum usitatissimum) seed phenotyping of oil and other quality traits using single kernel near infrared spectroscopy

AbstractThe growing interest in the rapid measurement of seed ingredients using single‐kernel NIR (SKNIR) spectroscopy as a nondestructive measurement technique allows fast analysis of sample seed variance that can have effects on breeding and end‐use processing. Flax (Linum usitatissimum), an oilseed crop grown in the Northwest United States and worldwide, is highly beneficial for human health, food, and fiber. Its health benefits include its high protein and omega‐3 fatty acids content. Therefore, seed composition profiles are an important aspect of breeding. The goals of this research were the development of single seed NIR calibration models for protein, oil, and weight of intact flax seeds. In this study, SKNIR spectroscopy was used on a diverse set of flax accessions comprising of 306 samples to create prediction models on a custom built SKNIR instrument. Spectra data and reference protein, oil, and weight were used to build partial least squares (PLS) models. Calibration models provided reasonable prediction of these traits and could be used for screening purposes. PLS statistics were oil (R2 = 0.82, SEP = 1.72), weight (R2 = 0.74, SEP = 0.71), and protein (R2 = 0.62, SEP = 0.96) for validation data sets comprising of one‐third of the total samples. In conclusion, prediction models showed that SKNIR spectroscopy could be a very beneficial nondestructive technique to determine oil and weight as well as rapid screening of protein in single flax seeds while not requiring extensive preparation as compared to traditional techniques.

Optimizing Soybean Cultivation in Uttarakhand's Tarai Region Using the DSSAT CROPGRO Modeling Approach

Soybean (Glycine max) is a vital oilseed crop globally, but in India, its average grain yields remain relatively low despite the presence of high-yielding varieties. This study aimed to optimize soybean cultivation in the Tarai region of Uttarakhand, India, by exploring the impact of different sowing dates on crop growth and yield using the Decision Support System for Agrotechnology Transfer (DSSAT) CROPGRO model. The experiment was conducted in 2022 and 2023 at Pantnagar, Uttarakhand, using a split-plot design with three replications. The model was calibrated and validated for different sowing dates, and key parameters such as emergence days, physiological maturity days, grain yield, harvest index, and leaf area index were compared between simulated and observed values. During validation RMSE and R2 was 48.44 and 0.90 for grain yield, 1.10 and 0.99 for physiological maturity, 0.042 and 0.99 for harvest index and 1.14 and 0.97 for LAI respectively. The results showed that adjusting sowing dates can significantly affect soybean growth and yield, with optimal sowing times resulting in higher yields and better crop performance. Specifically, sowing on July 22nd resulted in the highest grain yield, while sowing on August 21st led to the lowest. The DSSAT CROPGRO model proved to be a valuable tool for simulating soybean growth and predicting crop outcomes under varying environmental conditions.

Utilising soybean [Glycine max (L.) Merr.] wild and untapped genetic resources through pre‐breeding: Challenges and opportunities

AbstractSoybean is an economically important oilseed crop with diverse uses as food, feed, biofuel and so forth. Although the demand for soybean is growing rapidly worldwide, the narrow genetic base of released cultivars due to meagre utilisation of available wild and untapped genetic resources is a major factor contributing to stagnant production and productivity levels of soybean. Considering the continuously increasing global population, changing dietary habits, ongoing climatic fluctuations, rapidly evolving biotic stresses and shrinking land and water resources, utilisation of novel and diverse sources of variation is required for the genetic enhancement of soybean. To widen the genetic base of commercial soybean cultivars and to improve the genetic gain of the crop focused and systematic pre‐breeding efforts can play a game‐changing role by supplying novel genes in crop improvement programs. This article discusses the rationale of tapping wild and untapped genetic resources of soybean, gene pools, soybean genetic resources conserved ex‐situ and its utilisation status, genetic base of commercial soybean cultivars, identified novel genes and genomic regions in wild genetic resources, pre‐breeding efforts in India and strategies for incorporating desirable traits in the elite cultivated gene pool for fulfilling the requirements of farmers and other end‐users.

Creating yellow seed Camelina sativa with enhanced oil accumulation by CRISPR‐mediated disruption of Transparent Testa 8

SummaryCamelina (Camelina sativa L.), a hexaploid member of the Brassicaceae family, is an emerging oilseed crop being developed to meet the increasing demand for plant oils as biofuel feedstocks. In other Brassicas, high oil content can be associated with a yellow seed phenotype, which is unknown for camelina. We sought to create yellow seed camelina using CRISPR/Cas9 technology to disrupt its Transparent Testa 8 (TT8) transcription factor genes and to evaluate the resulting seed phenotype. We identified three TT8 genes, one in each of the three camelina subgenomes, and obtained independent CsTT8 lines containing frameshift edits. Disruption of TT8 caused seed coat colour to change from brown to yellow reflecting their reduced flavonoid accumulation of up to 44%, and the loss of a well‐organized seed coat mucilage layer. Transcriptomic analysis of CsTT8‐edited seeds revealed significantly increased expression of the lipid‐related transcription factors LEC1, LEC2, FUS3, and WRI1 and their downstream fatty acid synthesis‐related targets. These changes caused metabolic remodelling with increased fatty acid synthesis rates and corresponding increases in total fatty acid (TFA) accumulation from 32.4% to as high as 38.0% of seed weight, and TAG yield by more than 21% without significant changes in starch or protein levels compared to parental line. These data highlight the effectiveness of CRISPR in creating novel enhanced‐oil germplasm in camelina. The resulting lines may directly contribute to future net‐zero carbon energy production or be combined with other traits to produce desired lipid‐derived bioproducts at high yields.

Drought and high heat stresses modify Brassica napus L. leaf cuticular wax

Brassica napus L. is dual-purpose oilseed crop for food, feed and biofuel. Breeding for cultivars adapted to environmental stresses, especially drought and high heat stresses, is one of the strategies that has the attention of breeders. To evaluate the effects of those stresses on leaf wax accumulations, a replicated growth chamber experiment was designed to include three factors: drought (D), high heat (H) and genotypes (G). Data showed significant variations in leaf wax accumulations in response to those three factors and their combinations. For example, the accumulation of the C24 primary alcohol wax was affected by heat, drought, genotype, DxH, HxG, DxG and DxHxG, while the accumulation of the C16 fatty acid wax was affected by drought only. The results indicated that brassica leaf wax accumulation rates under those stresses are genotype dependent and suggest choosing specific parent(s) is an important factor for breeding for those stress factors. The C28 fatty acid, C29 primary alcohol and C30 alkane waxes showed abundance on brassica leaves grown under combination of drought and heat stresses, suggesting them as potential candidates for improving the stress tolerance against those intense stressors. Combination of drought and heat showed to have synergetic effects on specific brassica leaf waxes indicating the possibility to breed for both drought and heat tolerances in Brassica napus at the same time.

Enhancing Erucic Acid and Wax Ester Production in Brassica carinata through Metabolic Engineering for Industrial Applications

Metabolic engineering enables oilseed crops to be more competitive by having more attractive properties for oleochemical industrial applications. The aim of this study was to increase the erucic acid level and to produce wax ester (WE) in seed oil by genetic transformation to enhance the industrial applications of B. carinata. Six transgenic lines for high erucic acid and fifteen transgenic lines for wax esters were obtained. The integration of the target genes for high erucic acid (BnFAE1 and LdPLAAT) and for WEs (ScWS and ScFAR) in the genome of B. carinata cv. ‘Derash’ was confirmed by PCR analysis. The qRT-PCR results showed overexpression of BnFAE1 and LdPLAAT and downregulation of RNAi-BcFAD2 in the seeds of the transgenic lines. The fatty acid profile and WE content and profile in the seed oil of the transgenic lines and wild type grown in biotron were analyzed using gas chromatography and nanoelectrospray coupled with tandem mass spectrometry. A significant increase in erucic acid was observed in some transgenic lines ranging from 19% to 29% in relation to the wild type, with a level of erucic acid reaching up to 52.7%. Likewise, the transgenic lines harboring ScFAR and ScWS genes produced up to 25% WE content, and the most abundant WE species were 22:1/20:1 and 22:1/22:1. This study demonstrated that metabolic engineering is an effective biotechnological approach for developing B. carinata into an industrial crop.

Associations of the Seed Fatty Acid Composition of Sesame (Sesamum indicum L.) Germplasm with Agronomic Traits and FAD2 Variations

Sesame is an important oilseed crop grown for human consumption in many countries, with a high commercial value due to its high oleic/linoleic acid ratio (O/L ratio). However, its properties may vary among different accessions. In the current study, 282 sesame accessions were evaluated to determine the effects of agronomic traits and genotypes on the O/L ratio. The O/L ratio was positively correlated with the oleic acid (C18:1), stearic acid (C18:0), and myristic acid (C14:0) concentrations, as well as the capsule zone length (CZL), capsule width (CW), and capsule length (CL), and negatively correlated with the linoleic acid (C18:2) and linolenic acid (C18:3) concentrations, the days to maturity (DTM), days to flowering (DTF), and the height of the first capsule-bearing node (HFC) (p < 0.05). In addition, the O/L ratio was affected by the FAD2 haplotype, as the Hap2 and Hap3 sesame accessions had lower O/L ratios. Therefore, we suggest that the increase and decrease in the contents of C18:1 and C18:2 are associated with the FAD2 haplotype. A total of 25 agronomic traits and fatty acid compositions were compared via statistical analysis, and accessions with a high O/L ratio were selected. The results of this study can be used as a basis for further research on the development of new sesame varieties through enhancing nutritional functionality.

Genome-wide analysis of TOPLESS/TOPLESS-RELATED co-repressors and functional characterization of BnaA9.TPL regulating the embryogenesis and leaf morphology in rapeseed

TOPLESS/TOPLESS-RELATED (TPL/TPR) proteins belong to the Groucho (Gro)/Tup1 family co-repressors and act as broad co-repressors that modulate multiple phytohormone signalling pathways and various developmental processes in plant. However, TPL/TPR co-repressors so far are poorly understood in the rapeseed, one of the world-wide important oilseed crops. In this study, we comprehensively characterized eighteen TPL/TPR genes into five groups in the rapeseed genome. Members of TPL/TPR1/TPR4 and TPR2/TPR3 had close evolutionary relationship, respectively. All TPL/TPRs had similar expression patterns and encode conserved protein domain. In addition, we demonstrated that BnaA9.TPL interacted with all known plant repression domain (RD) sequences, which were distributed in non-redundant 24,238 (22.6 %) genes and significantly enriched in transcription factors in the rapeseed genome. These transcription factors were largely co-expressed with the TPL/TPR genes and involved in diverse pathway, including phytohormone signal transduction, protein kinases and circadian rhythm. Furthermore, BnaA9.TPL was revealed to regulate apical embryonic fate by interaction with Bna.IAA12 and suppression of PLETHORA1/2. BnaA9.TPL was also identified to regulate leaf morphology by interaction with Bna.AS1 (Asymmetric leaves 1) and suppression of KNOTTED-like homeobox genes and YABBY5. These data not only suggest the rapeseed TPL/TPRs play broad roles in different processes, but also provide useful information to uncover more TPL/TPR-mediated control of plant development in rapeseed.

Sesame Genomic Web Resource (SesameGWR): a well-annotated data resource for transcriptomic signatures of abiotic and biotic stress responses in sesame (Sesamum indicum L.).

Sesame (Sesamum indicum L.) is a globally cultivated oilseed crop renowned for its historical significance and widespread growth in tropical and subtropical regions. With notable nutritional and medicinal attributes, sesame has shown promising effects in combating malnutrition cancer, diabetes, and other diseases like cardiovascular problems. However, sesame production faces significant challenges from environmental threats such as charcoal rot, drought, salinity, and waterlogging stress, resulting in economic losses for farmers. The scarcity of information on stress-resistance genes and pathways exacerbates these challenges. Despite its immense importance, there is currently no platform available to provide comprehensive information on sesame, which significantly hinders the mining of various stress-associated genes and the molecular breeding of sesame. To address this gap, here a free, web-accessible, and user-friendly genomic web resource (SesameGWR, http://backlin.cabgrid.res.in/sesameGWR/) has been developed This platform provides key insights into differentially expressed genes, transcription factors, miRNAs, and molecular markers like simple sequence repeats, single nucleotide polymorphisms, and insertions and deletions associated with both biotic and abiotic stresses.. The functional genomics information and annotations embedded in this web resource were predicted through RNA-seq data analysis. Considering the impact of climate change and the nutritional and medicinal importance of sesame, this study is of utmost importance in understanding stress responses. SesameGWR will serve as a valuable tool for developing climate-resilient sesame varieties, thereby enhancing the productivity of this ancient oilseed crop.

Genetic study of Camelina sativa oilseed crop and selection of a new variety by the bulk method.

Camelina sativa, commonly referred to as camelina or false flax, has emerged as a promising cover crop with the potential to mitigate climate change-a pressing global challenge that demands urgent and sustainable solutions. Belonging to the Brassicaceae family and native to Europe and Central Asia, camelina is an oilseed crop known for its resilience in diverse climates, including arid and semi-arid regions, making it adaptable to various environments. A breeding program started from a study of six winter varieties and five spring varieties of camelina is described: these genetic materials were characterized by SSRs molecular markers and by GBS technique. Molecular data clearly showed all spring varieties were genetically similar and distinguishable from the winter varieties, which, in turn, clustered together. Using molecular data, parental varieties belonging to the two different clusters were selected to generate new genetic variability. The new variety obtained, selected through the bulk method based on three parameters: yield, earliness, and weight of 1000 seeds, has allowed the generation of the new genetic material provisionally named C1244. Chemical characterization was performed (bromatological and glucosinolates analysis) to better describe C1244 in comparison with benchmark varieties. The new variety exhibited early maturity, similar to spring varieties, making this genetic material promising for use in intercropping systems, a high weight of 1000 seeds (1.46 g) which improves and facilitates seeding/harvesting operations and a high oil content (33.62%) akin to winter varieties making it valuable for human and animal food purposes.

Assessment of Polygenic Traits Association with Yield in Soybean Genotypes

Soybean is one of the important oilseed crop at global level with special concern to India. Despite its global dominance, India's contribution to the soybean scene remains relatively modest, with a production ranking of fourth but only a 5% share of the world's output. For this concern, the analysis of the relationships among yield attributing characters and their associations with seed yield is essential to establish selection criteria. The experimental material used in the present study comprised of fourteen lines (8 F1s and 6 parental lines). The characters viz., number of pods/plant, primary branches/plant, harvest index, plant height, secondary branch/plant, biological yield, 100-seed weight and days-to-50% flowering recorded significant positive correlation coefficient with seed yield both at genotypic and phenotypic level. Path coefficient analysis further pinpointed 100-seed weight, harvest index, and pods per plant as the traits with the most direct positive impact on seed yield. Additionally, the study identified plant height, pods/plant, primary branches/plant, 100-seed weight, and the harvest index as the key contributors to soybean yield, suggesting these traits as primary targets for manipulation in breeding programs aimed at yield improvement.

Methods of increasing the seed productivity of the new variety of sage medicinal Fioletovy Aromat

Relevance. Salvia officinalis L. is an important essential oilseed crop with anti-inflammatory, antimicrobial and antioxidant properties. Providing the pharmaceutical industry with raw materials of Salvia in full is possible due to the expansion of production areas and the availability of the maximum amount of highquality seed material of new promising varieties.Methods. In 2019-2022 in the conditions of the North Caucasus branch of VILAR on a new variety of Salvia Fioletovy aromat II year of vegetation by staging small-scale experiments were conducted to study the systematic application of organomineral fertilizer – EcoFus and growth regulators of different mechanism of action – Zircon, Epin-extra, retardant Hardy to increase seed productivity and seed quality. The area of the experimental plots was 12 m2. Treatment with EcoFus was carried out at the beginning of regrowth, and with bioregulators – during the budding phase. The consumption of the working solution is 300 l/ha. Control variants of medicinal crops were treated with water.Results. Application of EcoFus in the phase of regrowth contributed to the activation of the intensity of photosynthesis and increase in the accumulation of plastic substances, which allowed plants to enter the generative phase earlier, the budding phase came 2-3 days earlier than in the control. Subsequent treatment of budding plants with growth regulators led to earlier and more friendly flowering, the time of seed ripening was reduced by 3-4 days. The highest efficiency was observed in the variants of joint application of EcoFus with Zircon or Hardy, where the number of inflorescences on plants increased, seed setting and seed productivity increased by 37-42%, seed quality also improved – weight of 1000 seeds increased by 9-10% and germination by 6-7%.

Value Chain Analysis of Groundnut in Tamil Nadu, India

Oilseeds provide vegetable oils which not only form an essential part of human diet but also serve as an important raw material for the manufacture of soaps, paints, varnishes, hair oils, lubricants and various other products. Among all the oilseed crops groundnut is an important oilseed and supplementary food crop. Itis also called as ‘the king of oilseeds. In Tamil Nadu, Ground nut is being cultivated in almost all the districts. Totally, 240 farmers were contacted from 24 villages spread over in 8 blocks of 2 districts. Besides farmers, traders and processors were contacted in each district at the rate of 10 traders per district. The data were analysed by using value chain mapping and price spread analysis. Results indicated that cost of cultivation under rainfed condition was Rs. 30967.81 per ha and Rs. 34789.21 per ha under irrigated condition. The net income realised was Rs. 30628.38 and Rs.32450.26 per ha in rainfed and irrigated condition respectively. The results reveal that net income from groundnut was found to be higher under irrigated condition. Value chain analysis indicated that there were 5 marketing channels through which groundnut were marketed by the sample farmers. Nearly 23.33 percent of the sample farmers sold the produce to the village merchants. The percentage of the sample farmers marketed through commission agents and regulated markets were 25.00 and 33.33, respectively.

Biodiesel Production Potential from Oilseed Crops in Serbia

Biodiesel Production Potential from Oilseed Crops in Serbia

Weighted gene co-expression network analysis reveals hub genes regulating response to salt stress in peanut

Peanut (Arachis hypogaea L.) is an important oilseed crop worldwide. However, soil salinization becomes one of the main limiting factors of peanut production. Therefore, developing salt-tolerant varieties and understanding the molecular mechanisms of salt tolerance is important to protect peanut yield in saline areas. In this study, we selected four peanut varieties with contrasting response to salt challenges with T1 and T2 being tolerance and S1 and S2 being susceptible. High-throughput RNA sequencing resulted in more than 314.63 Gb of clean data from 48 samples. We identified 12,057 new genes, 7,971of which have functional annotations. KEGG pathway enrichment analysis of uniquely expressed genes in salt-tolerant peanut revealed that upregulated genes in the root are involved in the MAPK signaling pathway, fatty acid degradation, glycolysis/gluconeogenesis, and upregulated genes in the shoot were involved in plant hormone signal transduction and the MAPK signaling pathway. Na+ content, K+ content, K+/ Na+, and dry mass were measured in root and shoot tissues, and two gene co-expression networks were constructed based on weighted gene co-expression network analysis (WGCNA) in root and shoot. In this study, four key modules that are highly related to peanut salt tolerance in root and shoot were identified, plant hormone signal transduction, phenylpropanoid biosynthesis, starch and sucrose metabolism, flavonoid biosynthesis, carbon metabolism were identified as the key biological processes and metabolic pathways for improving peanut salt tolerance. The hub genes include genes encoding ion transport (such as HAK8, CNGCs, NHX, NCL1) protein, aquaporin protein, CIPK11 (CBL-interacting serine/threonine-protein kinase 11), LEA5 (late embryogenesis abundant protein), POD3 (peroxidase 3), transcription factor, and MAPKKK3. There were some new salt-tolerant genes identified in peanut, including cytochrome P450, vinorine synthase, sugar transport protein 13, NPF 4.5, IAA14, zinc finger CCCH domain-containing protein 62, beta-amylase, fatty acyl-CoA reductase 3, MLO-like protein 6, G-type lectin S-receptor-like serine/threonine-protein kinase, and kinesin-like protein KIN-7B. The identification of key modules, biological pathways, and hub genes in this study enhances our understanding of the molecular mechanisms underlying salt tolerance in peanuts. This knowledge lays a theoretical foundation for improving and innovating salt-tolerant peanut germplasm.

Transcription factor EgGRP2A regulates EgFATA expression and promotes oleic acid accumulation in oil palm (Elaeis guineensis)

The oil palm (Elaeis guineensis) is emerging as the world's most important and prolific oilseed crop, celebrated for its impressive oil yield. However, the molecular intricacies that govern lipid metabolism and fatty acid accumulation in oil palm fruits remain relatively underexplored. This study reveals a significant correlation between the expression of EgGRP2A, a transcription factor, and the expression of EgFATA in the oil palm. Yeast one-hybrid analysis and electrophoretic mobility shift assays (EMSA) reveal and confirm the binding interactions between EgGRP2A and the promoter region of EgFATA. Subsequent experiments in oil palm protoplasts show that transient overexpression of EgGRP2A leads to a marked upregulation of EgFATA expression. Conversely, downregulation of EgGRP2A in transgenic oil palm embryoids leads to a significant reduction in EgFATA expression. Metabolite profiling in the transgenic embryoids reveals a significant reduction in unsaturated fatty acids, particularly oleic acid. These findings promise profound insights into the regulatory orchestration of EgFATA and the synthesis of fatty acids, particularly oleic acid, in the oil palm. Furthermore, the results lay the foundation for future breeding and genetic improvement efforts aimed at increasing oleic acid content in oil palm varieties.