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Background Low-coverage whole-genome sequencing (lcWGS) presents a cost-effective solution for genotyping, particularly in applications requiring high marker density and reduced costs. In this study, we evaluated lcWGS for eggplant genotyping using eight founder accessions from the first eggplant MAGIC population (MEGGIC). We tested various sequencing coverages and minimum depth of coverage thresholds with two SNP callers, Freebayes and GATK. Reference SNP panels were used to estimate the percentage of common biallelic SNPs (i.e., true positives) relative to the low coverage datasets (accuracy) and the SNP panels themselves (sensitivity). Furthermore, the percentage of true positives with the same genotype across both datasets was calculated to assess genotypic concordance. Results Sequencing coverages as low as 1X and 2X achieved high accuracy but lacked sufficient sensitivity and genotypic concordance. However, 3X sequencing reached approximately 10% less sensitivity than 5X while maintaining genotypic concordance above 90% at any depth of coverage threshold. Freebayes outperformed GATK in terms of sensitivity and genotypic concordance. Therefore, we used this software to conduct a pilot test with some MEGGIC lines from the fifth generation of selfing, comparing their datasets with a gold standard. Sequencing coverages as low as 1X identified a substantial number of true positives, with 3X significantly increasing the yield, particularly at moderate depth of coverage thresholds. Additionally, at least 30% of the true positives were consistently genotyped in all lines when using coverages greater than 2X, regardless of the depth of coverage threshold applied. Conclusions This study highlights the importance of using a gold standard to reduce false positives and demonstrates that lcWGS, with proper filtering, is a valuable alternative to high-coverage sequencing for eggplant genotyping, with potential applications to other crops.

With the development of smart agriculture and the growth of the global population, vegetable production is facing the dual challenges of diversified planting environments and increased concealment of diseases. Eggplant, as an important economic crop, has its disease detection accuracy directly affecting yield and quality. However, traditional detection methods fail to effectively capture small diseased areas. To address this issue, this paper proposes an improved deep learning small target detection model—the Efficient Deep-fusion Detection Model (EDDet), which is specifically optimized for the recognition of small diseased spots in eggplant disease detection. In the detection network, we innovatively designed the Pinwheel Fusion Feature Extractor (PFFE) framework, replacing the standard convolutions of the first two layers with Pinwheel Convolutions (PConv). By using asymmetric padding and parallel convolution kernel design, the receptive field is effectively expanded, the ability to capture underlying features is enhanced, and the detection of small diseased areas in eggplants is more precise. In the feature fusion stage, this paper designs a Cross-layer Attention Module (CAM), including Cross-layer Channel Attention (CCA) and Cross-layer Spatial Attention (CSA), which can efficiently interact and fuse features of different scales without additional sampling, alleviating the information loss caused by semantic gaps. In addition, to solve the instability caused by IoU fluctuations in the bounding box regression process, the model introduces Scale-based Dynamic Loss (SD Loss), which dynamically adjusts the loss weight based on the size of the target. By adaptively adjusting the proportion of IoU-based loss and location constraint loss, more precise localization and stable regression of small diseased areas in eggplants are achieved. Experimental results demonstrate that EDDet achieves a notable improvement in mAP50 (85.4%), outperforming the baseline by 2.8%.Importantly, EDDet also Maintains excellent efficiency with only 2.75 M parameters, 9.1 GFLOPs, and a high inference speed of 288.3 FPS, which is 37.5 FPS higher than the baseline.These results highlight the model’s strong potential for real-time deployment in complex agricultural scenarios where both precision and speed are critical.

BackgroundThe eggplant suffers from many biotic stresses that cause severe damage to crop production. One of the most destructive eggplant pathogens is Alternaria solani, which causes early blight disease. A pot experiment was conducted to evaluate the role of fungal endophytes in protecting eggplant against early blight as well as in improving its growth performance.ResultsEndophytic Aspergillus terreus was isolated from Ocimum basilicum leaves and identified morphologically and genetically. In vitro, crude extract of endophytic A. terreus exhibited promising antifungal activity against A. solani where minimum inhibitory concentration (MIC) was 1.25 mg/ml. Severity of the disease and rate of protection from the disease were recorded. Vegetative growth indices, physiological resistance signs (photosynthetic pigments, carbohydrates, proteins, phenols, proline, malondialdehyde (MDA), antioxidant enzymes), and isozymes were estimated. Alternaria solani caused a highly disease severity (87.5%) and a noticeable decreasing in growth characteristics and photosynthetic pigments except for carotenoids. Also, infection with A. solani caused significant decreases in the contents of carbohydrate and protein by 29.94% and 10.52%, respectively. Infection with A. solani caused enhancement in phenolics (77.21%), free proline (30.56%), malondialdehyde (30.26%), superoxide dismutase (SOD) (125.47%), catalase (CAT) (125.93%), peroxidase (POD) (25.07%) and polyphenol oxidase (PPO) (125.37%) compared to healthy plants. In contrast, the use of A. terreus on infected plants succeeded in recovering eggplants from the disease, as the disease severity was recorded (caused protection by 66.67%). Application of A. terreus either on healthy or infected eggplants showed several responses in number and density of peroxidase (POD) and polyphenol oxidase (PPO) isozymes.ConclusionIt is necessary for us to address the remarkable improvement in the photosynthetic pigments, protein, carbohydrates, and enzymatic activity compared to infected control, which opens the way for more studies on the use of biocides as safe alternatives against fungal diseases.

Eggplant is a vegetable rich in anthocyanins. SmMYB35, a light-responsive R2R3-MYB transcription factor, was isolated from eggplant and investigated for its biological functions. The results suggested that the expression of SmMYB35 was regulated by SmHY5 through directly binding to G-box in the promoter region, and the overexpression of SmMYB35 could increase the anthocyanin content in the stems and petals of the transgenic eggplants. SmMYB35 could also bind to the promoters of SmCHS, SmF3H, SmDFR, and SmANS and enhance their activities. In addition, SmMYB35 interacted with SmTT8 and SmTTG1 to form a MBW complex which enhanced anthocyanin biosynthesis. Taking together, we firstly verified that SmMYB35 promoted anthocyanin biosynthesis in plants. The results provide new insights into the regulatory effects of SmMYB35 on key anthocyanin biosynthetic genes and advance our understanding of the molecular mechanism of light-induced anthocyanin synthesis in eggplants.

Salinity poses significant challenges to agricultural productivity, impacting crops’ growth, morphology and biochemical parameters. A pot experiment of three months was conducted between February to April 2023 in the Department of Botany, The Islamia University of Bahawalpur. Four brinjal (eggplant) varieties: ICS-BR-1351, HBR-313-D, HBR-314-E, and HBR-334-D were selected and assessed for the effects of salinity on various growth and biochemical attributes. The experiment was completely randomized in design with three replicates each. This study revealed that increased salinity significantly reduced the shoot length, root length, and leaf number across all varieties, with maximum adverse effects observed at a 300mM NaCl concentration. Among the tested varieties, ICS-BR-1351 demonstrated superior performance in most growth parameters, suggesting potential salt tolerance. Biochemically, salinity decreased chlorophyll content across all varieties, with the sharpest decline observed at the highest salt concentration. V4 (HBR-334-D) showed a 57% decrease in chlorophyll followed by V3 (HBR-314-E) at 56%, V2 (HBR-313-D) at 54%, and V1 (ICS-BR-1351) at 33% decrease at maximum salt levels as compared to control. Conversely, carotenoid content increased up to -42.11% in V3 followed by V2 at -81.48%, V4 at -94.11%, and − 233% in V1 at 300mM NaCl stress as compared to respective controls. V3 (HBR-314-E) has the maximum value for carotenoids while V1 has the lowest value for carotenoids as compared to the other three brinjal varieties. In addition to pigments, the study indicated a salinity-induced decrease in total proteins and total soluble sugar, whereas total amino acids and flavonoids increased. Total proteins showed a decrease in V2 (49.46%) followed by V3 (36.44%), V4 (53.42%), and V1 (53.79%) at maximum salt concentration as compared to plants treated with tap water only. Whereas, total soluble sugars showed a decrease of 52.07% in V3, 41.53% in V2, 19.49% in V1, and 18.99% in V4 at the highest salt level. While discussing total amino acid, plants showed a -9.64% increase in V1 as compared to V4 (-31.10%), V2 (-36.62%), and V3 (-22.61%) with high salt levels in comparison with controls. Plant flavonoid content increased in V3 (-15.61%), V2 (-19.03%), V4 (-18.27%) and V1 (-27.85%) at 300mM salt concentration. Notably, salinity elevated the content of anthocyanin, lycopene, malondialdehyde (MDA), and hydrogen peroxide (H 2 O 2 ) across all varieties. Antioxidant enzymes like peroxidase, catalase, and superoxide dismutase also increased under salt stress, suggesting an adaptive response to combat oxidative damage. However, V3 (HBR-314-E) has shown an increase in anthocyanin at -80.00%, lycopene at -24.81%, MDA at -168.04%, hydrogen peroxide at -24.22%, POD at -10.71%, CAT as-36.63 and SOD as -99.14% at 300mM NaCl stress as compared to control and other varieties. The enhanced accumulation of antioxidants and other protective compounds suggests an adaptive mechanism in brinjal to combat salt-induced oxidative stress. The salt tolerance of different brinjal varieties was assessed by principal component analysis (PCA), and the order of salt tolerance was V1 (ICS-BR-1351) > V4 (HBR-334-D), > V2 (HBR-313-D) > V3 (HBR-314-E). Among the varieties studied, ICS-BR-1351 demonstrated resilience against saline conditions, potentially offering a promising candidate for saline-prone agricultural areas.

Background The use of vegetable grafting has proven to be effective not only in providing stress resistance but also improving fruit yields. There have been no studies on grafted vegetables' effects on the vascular systems, specifically xylem vessels. This study tested the effects of two groups of rootstocks, Solanum spp., and Solanum lycopersicum , on seedling growth, anatomical parameters, and further plant growth and yield of eggplant cv. Madonna. The experiment was arranged in a completely randomized design with four replications and five plants in each replication. Results The results showed that seedling growth parameters including height, and stem diameter were significantly different between grafted and non-grafted eggplant plants. In terms of roots, cv. Optifort rootstock had the longest roots, while Solanum spp. rootstocks had the largest root volume. The radial widths of rootstock collenchyma and phloem were significantly greater in SG-self-grafted than in SR-self-rooted and in other rootstocks. Rootstock xylem area was higher in Solanum spp. than in self-rooted seedlings and cv. Emperador rootstock. Correlation analysis showed that rootstock anatomical traits, including xylem width and cortex parenchyma cell number, had significant positive correlations with yield (r = 0.40 and r = 0.58, respectively). Rootstocks such as ST ( Solanum torvum ) and A ( Solanum integrifolium) which had wider xylem and more cortex cells, exhibited higher yields. Conclusion Rootstocks with larger xylem widths and higher cortex cell numbers, such as ST and A, promoted greater yield in grafted eggplant. These results emphasize the importance of selecting rootstock-scion combinations with favourable anatomical traits for optimal productivity.

Eggplants are rich in acetylcholine (ACh), which can improve high blood pressure and negative psychological states. However, information on ACh content in individual parts of eggplant and the changes in ACh content during eggplant development is limited. Therefore, we investigated the ACh content in various parts of eggplant, namely, the leaf, root, bud, calyx, ovary, fruit, exocarp, mesocarp, partition, placenta, core, fruit base, fruit center, and fruit top in 26 eggplant varieties. Furthermore, the effect of heat treatment on ACh content was investigated. The ACh content significantly differed among the eggplant varieties. The difference between the varieties with the highest and lowest ACh content was 100-fold (Tosataka: 11 ± 0.61 mg/100 g fresh weight (FW) and Ryoma: 0.11 ± 0.046 mg/100 g FW, respectively). Eggplant fruit presented the highest ACh content (4.8 mg/100 g FW); it was three times higher than that in other parts combined (1.6 mg/100 g FW). The root contained the lowest ACh content among all parts. The ACh content increased with growth after flowering. The ACh content in the fruit 1.5 months after flowering was 400 times that in the ovary. ACh was uniformly distributed in eggplant flesh. Heat treatment did not cause ACh loss in eggplant. Thus, eggplant is an excellent raw material for functional foods.

Viroids that belong to genera Avsunviroid and Pelamovirod (family Avsunviroidae ) replicate and accumulate in the chloroplasts of infected cells. In this report, we confirmed by RNA in situ hybridization using digoxigenin-UTP-labelled riboprobes that the positive strands of eggplant latent viroid (ELVd), the only member of genus Elaviroid within the family Avsunviroidae , also accumulate in the chloroplasts of infected cells. However, comparison of ELVd in situ hybridization signals with those from bona fide chloroplastic and nuclear non-coding RNAs, such as chloroplast 5S rRNA and U1 small nuclear RNA, supports the notion that this viroid is also present in the nuclei of infected cells. These results suggest that the subcellular localization of viroids within the family Avsunviroidae may be more complex than previously assumed with dynamic presence in several compartments during the infectious cycle.

Natural product therapy has been used to treat illness for thousands of years, and modern-day medicines, such as various anticancer, antihypertensive, and antimigraine drugs, have been developed from natural products. Natural medicines are advantageous as they tend to have fewer side effects and are considered a relatively safe option. Solanum aethiopicum L. (S. aethiopicum) is a vegetable crop of the Solanaceae family and is considered one of the five most important crops in sub-Saharan Africa, alongside tomatoes, onions, peppers, and okra. S. aethiopicum has many health benefits as it contains the three major macronutrients (carbohydrates, proteins, and fats) as well as fiber and many essential vitamins. Additionally, much research has been conducted on the medicinal value of S. aethiopicum over the past few decades. S. aethiopicum has been found to have many pharmacological properties including anti-inflammatory, antibacterial, antidiabetic, anti-obesity, and antioxidant effects. Currently, to our knowledge, there are no comprehensive reviews of the numerous studies on S. aethiopicum. Therefore, in this review, we summarize the nutritional, phytochemical, and pharmacological analyses of S. aethiopicum, identify notable effects, and review the results.

In recent decades, the demand for vegetables has increased significantly due to the blooming global population. Climate change has affected vegetable production by increasing the frequencies and severity of abiotic and biotic stresses. Among the abiotic stresses, drought and salinity are the major issues that possess severe threats on vegetable production. Many vegetables (e.g., carrot, tomato, okra, pea, eggplant, lettuce, potato) are usually sensitive to drought and salt stress. The defence mechanisms of plants against salt and drought stress have been extensively studied in model plant species and field crops. Better understanding of the mechanisms of susceptibility of vegetables to drought and salt stresses will help towards the development of more tolerant genotypes as a long-term strategy against these stresses. However, the intensity of the challenges also warrants more immediate approaches to mitigate these stresses and enhance vegetable production in the short term. Therefore, this review enlightens the updated knowledge of responses (physiological and molecular) against drought and salinity in vegetables and potentially effective strategies to enhance production. Moreover, we summarized different technologies such as seed priming, genetic transformation, biostimulants, nanotechnology, and cultural practices adopted to enhance vegetable production under drought and salinity stress. We propose that approaches of conventional breeding, genetic engineering, and crop management should be combined to generate drought and salt resistance cultivars and adopt smart cultivation practices for sustainable vegetable production in a changing climate.