Promoter activity analysis and transcriptional profile of Ginkgo biloba 1-Deoxy-D- Xylulose 5-Phosphate reductoisomerase gene (GbDXR) under abiotic stresses

Terpene trilactones (TTL) is a pharmacological ingredient in Ginkgo biloba and its content has become one of the key indices for medicinal value evaluation of ginkgo. 1-Deoxy-D-xylulose 5-phosphate reductoisomerase (DXR) catalyzes the first step specific for isopentenyl diphosphate production in methylerythritol phosphate pathway, which provide the basic structure required for TTLs biosynthesis. To understand the mechanism controlling the GbDXR gene expression, the GbDXR promoter sequence was isolated and subjected to transient expression with the green fluorescent protein (GFP) in tobacco plants. Characteristic analysis revealed various cis-acting elements that related to light-regulated transcription, hormone signaling (auxin, ethylene), adversity stress and defense signaling (heat/dehydration stress) in the GbDXR promoter region. In transient expression assay, deletion of different portions of the upstream GbDXR promoter identified that the promoter region -3230bp to -865bp conserve the positive regulation function, which could promote the expression of GFP in the cytoplasm of tobacco leaf epidermal cells. The regulation function of the promoter region -865bp to -262bp remained to be elucidated. EMSA analysis suggested possible interactions of GbERF10 and GbERF17 with the ERF-binding elements in the upstream of GbDXR promoter. For abiotic stresses treatment, the expression of GbDXR gene could be significantly induced by UV-B and drought stress. In general, the GbDXR gene expressed differently in different ginkgo tissues but exhibited the highest transcriptional level in the root, with the maximum TTLs content simultaneously. The positive relationship between gene expression level and TTLs content indicated that the GbDXR is responsible for TTLs biosynthesis in G. biloba

Extraction, Isolation and Identification of Antimicrobial Substances from Bacillus amyloliquefaciens CMN1308

Four separation methods of antimicrobial substances produced by CMN1308 (Bacillus amyloliquefaciens) were evaluated and selected according to number of antimicrobial substances and its activity in vitro. The results showed that extraction by acid precipitation of the fermentation supernatant of CMN1308 was the best with a diameter of inhibition zone of pathogen fungi P. expansum of 12.3 mm in a laboratory bioassay. Applying a silica thin layer chromatography (TLC), SDS-PAGE and other separation technologies we isolate antimicrobial substances, and the separated band were cut off for mass spectrometry analysis. The TLC of crude extract of CMN1308 show a topical band corresponding with the surfactin standard (Rf value =0.75), proved that the strain CMN1308 can produce this surface active compound. The mycoprotein extracted from CMN1308 was separated by Tricine-SDS-PAGE modified with the addition of urea in the separation gel. After mass spectrometric analysis and protein characterization, the isolated mycoprotein showed a maximum ion peak at M/Z of 2679 and molecular weight of 29.5 kDa, matching with protein flagellin. The extracellular antimicrobial protein of strain CMN1308 display four bands after urea-Tricine-SDS-PAGE, but after mass spectrometry analysis only two bands were identified. Band “A” with a maximum ion peak at M/Z of 1926 and molecular weight of 49.8 kDa, aligned with NCBI database, matching with DLDH (dihydrolipoamide dehydrogenase enzyme). Band “D” show the maximum ion peak at M/Z of 2936 and molecular weight of 22.4 kD, matching with a chitin binding protein. Thus, the strain CMN1308 has the potential to be developed as a commercial biological control agent for chestnut common pathogenic fungi

Transcriptome-based Discovery of AP2/ERF Transcription Factors Related to Terpene Trilactones Synthesis in Ginkgo biloba

Ginkgo biloba is a unique tree in China with medicinally and phylogenetically important characteristics. Terpene trilactones (TTL) is a key active pharmaceutical ingredient in Ginkgo, so the content of TTL in Ginkgo has become one of the important indices for evaluating quality of the medicinal materials. By transcriptome sequencing on samples treated by chlormequat, ultraviolet (UV) and drought, totally 59820 contigs and 37564 unigenes were obtained. Furthermore, 18234 unigenes were annotated through COG, KEGG and GO analysis. There were 78 AP2/ERF transcription factors, 23 factors of up-regulation and 66 factors of down-regulation that were related with synthetic pathway of TTL in Ginkgo. Phylogenetic tree clustering analysis indicated that there were 42 AP2s could be clustered into ERF, DREB and RVA subfamilies. EMSA analysis demonstrated that GbERF13, GbERF25 and GbERF27 could bind with regulatory elements, such as E-box, in the upstream of GbMECPs promoter. Expression analysis showed that the expression level of GbERF25 was the highest in root, and GbERF25 and GbERF27 were expressed in relatively high transcription levels in leaf and other tissues. The results of qRT-PCR indicated that CCC treatment could significantly improve expression levels of ERF25 and ERF27, and UV and drought could induce transcription levels of ERF13 and ERF25, respectively. The results implied that ERF25 and ERF27 might involve in the induction and regulation of CCC treatment on synthesis of bilobalide in G. biloba. ERF13 might participate in the regulation of bilobalide synthesis induced by UV, and EFR25 might involve in the regulation of the synthesis induced by drought. During annual cycle of expression, the transcription levels of ERF13, ERF25 and ERF27 had significantly positive correlation with diterpene level with correlation coefficient 0.975. It implied that these transcription factors mainly acted on the MEP pathway that regulated synthesis of bilobalide. The aim of the research was to indicate the mechanism of environment or cultivation measure regulating target gene of TTL metabolic pathway by AP2/ERF, and establish metabolic network of AP2/ERF regulating TTL synthesis

High-Density Kinetic Analysis of the Metabolomic and Transcriptomic Response of Ginkgo biloba Flavonoids Biosynthesis to Selenium Treatments

As one of the rare and precious wood species since the ancient times, Gingko is also known as “living fossil”, which is a special plant resource of China. Gingko leaves, containing rich flavonoids, are valued with great medicinal significances. This paper treated Ginkgo seedlings by exogenous Sodium selenite (SS) in two ways: Foliage dressing (FD) and Root application (RA). Then transcriptome sequencing and metabolome test are performed. Results show that external SS has significant influence on the related gene expression level of flavonoids synthesis ways of Gingko, the FD can significantly induce gene expressions as CHS, FLS, FOMT, PAL, MYB1 and MYB2, and RA can significantly induce gene expressions as FOMT, MYB1 and MYB2. Compared with the control group, FA selenium application can help to accumulation of flavonoids, flavonols, flavonoids-C and isoflavones, especially quercetin and kaempferol that had a remarkable increase. This proved that a proper concentration of inorganic SS could promote the synthesis and accumulation of flavonoids in Gingko. qRT-PCR analysis also depicts that leaves treatment of sodium selenite can remarkably enhance the gene expression of CHS, FLS, FOMT and PAL, and RA selenium application can induce the gene expression of FLS and FOMT, but restrain the gene expression of CHS and PAL. Through the ways of FD and RA selenium application, this paper basically studied the regulatory effect of SS on ginkgo flavonoids synthesis and has laid a theoretical basis to improve flavonoids content in Ginkgo leaves through cultivation control means

Determination of Camellia oleifera Abel. Germplasm Resources of Genetic Diversity in China using ISSR Markers

Camellia oleifera is one of the four woody oil plants in the world, which is widely cultivated in South China. To examine the genetic diversity of C. oleifera in China, the diversity and genetic relationships among and within major populations of 109 varieties of C. oleifera were analyzed using ISSR markers. Twenty-three ISSR primers out of 49 primers yielded approximately 487 legible bands. A total of 335 of these bands were polymorphic markers, and the ratio of polymorphism was 68.86%. From the results, Zhejiang province showed the highest populations genetic diversity (H value 0.18), while Guangxi population showed the lowest genetic diversity (H 0.0851). Base on the bands, the genetic similarity coefficient ranged from 0.61 to 0.93 using NTSYS2.10e software. When coefficient was 0.75, 109 cultivars were divided into 11 categories and categories I contain 79 varieties by UPGMA cluster analysis. The test varieties divided into 7 sub-groups when categories were 0.75, which show a close genetic relationship. Results advised that Hunan is the main producing area of C. oleifera, with enriched C. oleifera variety and complex topography, and therefore has a high genetic diversity. Meanwhile, the main varieties of C. oleifera in Hubei are imported from Hunan, which results in fewer varieties and reduces the genetic diversity of C. oleifera. The ISSR profiles can improve C. oleifera germplasm management and provide potential determine correlations between different varieties and its distribution in different province

Screening and characterization of the scFv for chimeric antigen receptor T cells targeting CEA-positive carcinoma

IntroductionChimeric antigen receptor T (CAR-T) cell therapy presents a promising treatment option for various cancers, including solid tumors. Carcinoembryonic antigen (CEA) is an attractive target due to its high expression in many tumors, particularly gastrointestinal cancers, while limited expression in normal adult tissues. In our previous clinical study, we reported a 70% disease control rate with no severe side effects using a humanized CEA-targeting CAR-T cell. However, the selection of the appropriate single-chain variable fragment (scFv) significantly affects the therapeutic efficacy of CAR-T cells by defining their specific behavior towards the target antigen. Therefore, this study aimed to identify the optimal scFv and investigate its biological functions to further optimize the therapeutic potential of CAR-T cells targeting CEA-positive carcinoma.MethodsWe screened four reported humanized or fully human anti-CEA antibodies (M5A, hMN-14, BW431/26, and C2-45), and inserted them into a 3rd-generation CAR structure. We purified the scFvs and measured the affinity. We monitored CAR-T cell phenotype and scFv binding stability to CEA antigen through flow cytometry. We performed repeated CEA antigen stimulation assays to compare the proliferation potential and response of the four CAR-T cells, then further evaluated the anti-tumor efficacy of CAR-T cells ex vivo and in vivo.ResultsM5A and hMN-14 CARs displayed higher affinity and more stable CEA binding ability than BW431/26 and C2-45 CARs. During CAR-T cell production culture, hMN-14 CAR-T cells exhibit a larger proportion of memory-like T cells, while M5A CAR-T cells showed a more differentiated phenotype, suggesting a greater tonic signal of M5A scFv. M5A, hMN-14, and BW431/26 CAR-T cells exhibited effective tumor cell lysis and IFN-γ release when cocultured with CEA-positive tumor cells in vitro, correlating with the abundance of CEA expression in target cells. While C2-45 resulted in almost no tumor lysis or IFN-γ release. In a repeat CEA antigen stimulation assay, M5A showed the best cell proliferation and cytokine secretion levels. In a mouse xenograft model, M5A CAR-T cells displayed better antitumor efficacy without preconditioning.DiscussionOur findings suggest that scFvs derived from different antibodies have distinctive characteristics, and stable expression and appropriate affinity are critical for robust antitumor efficacy. This study highlights the importance of selecting an optimal scFv in CAR-T cell design for effective CEA-targeted therapy. The identified optimal scFv, M5A, could be potentially applied in future clinical trials of CAR-T cell therapy targeting CEA-positive carcinoma

White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group

White matter pathways, typically studied with diffusion tensor imaging (DTI), have been implicated in the neurobiology of obsessive-compulsive disorder (OCD). However, due to limited sample sizes and the predominance of single-site studies, the generalizability of OCD classification based on diffusion white matter estimates remains unclear. Here, we tested classification accuracy using the largest OCD DTI dataset to date, involving 1336 adult participants (690 OCD patients and 646 healthy controls) and 317 pediatric participants (175 OCD patients and 142 healthy controls) from 18 international sites within the ENIGMA OCD Working Group. We used an automatic machine learning pipeline (with feature engineering and selection, and model optimization) and examined the cross-site generalizability of the OCD classification models using leave-one-site-out cross-validation. Our models showed low-to-moderate accuracy in classifying (1) “OCD vs. healthy controls” (Adults, receiver operator characteristic-area under the curve = 57.19 ± 3.47 in the replication set; Children, 59.8 ± 7.39), (2) “unmedicated OCD vs. healthy controls” (Adults, 62.67 ± 3.84; Children, 48.51 ± 10.14), and (3) “medicated OCD vs. unmedicated OCD” (Adults, 76.72 ± 3.97; Children, 72.45 ± 8.87). There was significant site variability in model performance (cross-validated ROC AUC ranges 51.6–79.1 in adults; 35.9–63.2 in children). Machine learning interpretation showed that diffusivity measures of the corpus callosum, internal capsule, and posterior thalamic radiation contributed to the classification of OCD from HC. The classification performance appeared greater than the model trained on grey matter morphometry in the prior ENIGMA OCD study (our study includes subsamples from the morphometry study). Taken together, this study points to the meaningful multivariate patterns of white matter features relevant to the neurobiology of OCD, but with low-to-moderate classification accuracy. The OCD classification performance may be constrained by site variability and medication effects on the white matter integrity, indicating room for improvement for future research.publishedVersio