The yield and quality of goji (Lycium barbarum L.) fruit are heavily dependent on fertilizer, especially the availability of nitrogen, phosphorus, and potassium (N, P, and K, respectively). In this study, we performed a metabolomic analysis of the response of goji berry to nitrogen fertilizer levels using an Ultra Performance Liquid Chromatography–Electrospray Ionization–Tandem Mass Spectrometry (UPLC-ESI-MS/MS) method. There was no significant difference in the fruit yield or the commodity grade between N0 (42.5 g/plant), N1 (85 g/plant), and N2 (127.5 g/plant). The primary nutrients of the goji berry changed with an increasing nitrogen fertilization. Comparative metabolomic profiling of three nitrogen levels resulted in the identification of 612 metabolites, including amino acids, flavonoids, carbohydrates, organic acids, and lipids/alcohols, among others, of which 53 metabolites (lipids, fatty acids, organic acids, and phenolamides) demonstrated significant changes. These results provide new insights into the molecular mechanisms of the relationship between yield and quality of goji berry and nitrogen fertilizer.

Carotenoids are key metabolites in goji (Lycium), a traditional Chinese medicine plant; however, the carotenoid content varies in fruits of different goji species, and the mechanism of this variation is not clear. Carotenoids participate in signal transduction and photosynthesis, and function as colorants and photoprotectors. Members of the carotenoid cleavage oxygenase (CCO) gene family are involved in the regulation of phytohormones, pigments, and aromatic substances, such as abscisic acid (ABA), β-carotenoid, and α-ionone, by degrading carotenoids. Some CCO genes are also related to an abiotic stress response. Here, a total of 12 LbCCO genes were identified and analyzed from the L. barbarum genome. CCO genes were divided into six subfamilies based on the constructed phylogenetic tree, including LbNCEDs, LbCCD1, LbCCD3, LbCCD4, LbCCD7, and LbCCD8. Among them, CCD3 was reported for the first time. The gene structure and motif analysis revealed the conservation of CCO subfamilies. Pseudogene generation and the importance of each subfamily in CCOs were revealed by collinearity analysis. The spatiotemporal transcriptomes of L. barbarum and L. ruthenicum were compared, suggesting that CCD4-1 may dominate carotenoid degradation in goji fruits. Cis-acting elements prediction and environment responsive gene expression analyses indicated that salt-alkali stress and photothermal conditions might influence the expression of CCOs in goji. The results of this study enhance our understanding of the carotenoid degradation pathway, and the functions and responses of CCOs in goji species.

Wolfberry (Lycium barbarum L.) is a small Solanaceae shrub with medicinal and edible homology, and widely used as ethnobotanical medicine and nutraceutical food. The wolfberry fruits mainly have red, purple, and yellow phenotypes. Wolfberries are rich in flavonoids, which are natural water-soluble pigments that endow a variety of colors in plants There are very few investigations on mechanism of flavonoids biosynthesis and fruit coloring reported about wolfberry. The widely targeted metabolome and transcriptome analysis were performed to obtain metabolite and gene expression profiles of red, yellow, and purple wolfberries and to explain the underlying molecular mechanism of the color differences in wolfberry. As result, metabolomics analysis revealed that the bluish anthocyanins Malvidin and petunidin trended to accumulate in purple wolf-berry, while red and yellow wolfberries trended to accumulate more yellowish flavonoids. And transcriptome analysis showed that flavonoid synthesis-related genes, such as CHS, F3H, ANS and DFR, and several MYB and bHLH genes were differentially expressed among wolfberries in different colors: most of them were more highly expressed in purple wolfberries than in red and yellow ones. In conclusion, the different flavonoids’ accumulation patterns may result in the different fruit colors of wolfberry, and the MYB or bHLH transcription factors could regulate the expression of flavonoids biosynthesis related genes to change the composition of flavonoids or anthocyanins in wolfberry fruits and result in varied fruit colors. These findings provide new insights into the underlying molecular mechanism of the fruit color differences in wolfberry and provide new ideas for molecular breeding of wolfberry.

Background: Goji (Lycium barbarum L.) is a perennial deciduous shrub widely distributed in arid and semiarid regions of Northwest China. It is highly valued for its medicinal and functional properties. Most goji varieties are naturally self-incompatible, posing challenges in breeding and cultivation. Self-incompatibility is a complex genetic trait, with ongoing debates regarding the number of self-incompatible loci. To date, no genetic mappings has been conducted for S loci or other loci related to self-incompatibility in goji. Results: We used genome resequencing to create a high-resolution map for detecting de novo single-nucleotide polymorphisms (SNP) in goji. We focused on 229 F1 individuals from self-compatible ‘13–19’ and self-incompatible ‘new 9’ varieties. Subsequently, we conducted a quantitative trait locus (QTL) analysis on traits associated with self-compatibility in goji berries. The genetic map consisted of 249,327 SNPs distributed across 12 linkage groups (LGs), spanning a total distance of 1243.74 cM, with an average interval of 0.002 cM. Phenotypic data related to self-incompatibility, such as average fruit weight, fruit rate, compatibility index, and comparable compatibility index after self-pollination and geitonogamy, were collected for the years 2021–2022, as well as for an extra year representing the mean data from 2021 to 2022 (2021/22). A total of 43 significant QTL, corresponding to multiple traits were identified, accounting for more than 11% of the observed phenotypic variation. Notably, a specific QTL on chromosome 2 consistently appeared across different years, irrespective of the relationship between self-pollination and geitonogamy. Within the localization interval, 1180 genes were annotated, including Lba02g01102 (annotated as an S-RNase gene), which showed pistil-specific expression. Cloning of S-RNase genes revealed that the parents had two different S-RNase alleles, namely S1S11 and S2S8. S-genotype identification of the F1 population indicated segregation of the four S-alleles from the parents in the offspring, with the type of S-RNase gene significantly associated with self-compatibility. Conclusions: In summary, our study provides valuable insights into the genetic mechanism underlying self-compatibility in goji berries. This highlights the importance of further positional cloning investigations and emphasizes the importance of integration of marker-assisted selection in goji breeding programs.

Lycium barbarum, a nutrient-rich fruit known for its resilience to drought and high salinity, presents an opportunity to explore stress tolerance at the molecular level. This study explores the molecular mechanisms underlying stress tolerance and fruit development in L. barbarum by characterizing its Dof transcription factor family. Through genomic analysis, 39 LbDof genes were identified, with their structural, phylogenetic, and physicochemical properties systematically examined. Cis-acting regulatory element analysis revealed motifs associated with growth, stress, light, and hormone responses, while expression profiling demonstrated organ-specific patterns and significant upregulation under drought and saline–alkaline stress. Additionally, dynamic expression changes were observed across fruit development stages, suggesting regulatory roles in maturation. Phylogenetic classification grouped LbDof genes into ten subgroups, with chromosomal mapping indicating segmental duplications as a key evolutionary driver. Furthermore, the study offers a comprehensive genomic and functional analysis of LbDof genes, highlighting their potential roles in stress adaptation and fruit maturation. The findings provide a theoretical basis for breeding stress-resistant crops and insights into enhancing plant resilience.

The leaf is a critical organ for assimilation in plants, and the anatomical structure of the leaf can reflect the adaptability of plants to their environment to a certain extent. The research objects in this investigation were 36 different cultivars (lines) of goji germplasm resources. The structure and stoma condition of healthy leaves were the subject of a comparative investigation. Significant variations in leaf structural indices and stoma were identified among various goji cultivars (lines). The leaves of goji were the thickest and possessed the lowest stoma density. The resilience of goji germplasm resources was assessed using the main component analysis approach and the membership function. The results showed that LR (L. ruthenicum Murr.) and LCy (L. cylindricum Kuang) exhibited the strongest resistance. Goji resistance is significantly influenced by thickness of the upper cuticle (TUC) and thickness of the lower cuticle (TLC), according to the analytical results for several leaf anatomical indicators and stress resistance. By analyzing the wax content of 13 different goji cultivars (lines) and field infection results, it was found that Tianjing 3 had the highest wax content, the smallest average number of galls, and the smallest infection area. This suggests that Tianjing 3 has the strongest resistance to Aceria pallida, and that its insect resistance is correlated with its wax content. This study offers a thorough assessment of 36 goji germplasm resources’ resilience, providing a point of reference for the selection and propagation of resistant cultivars within these resources.