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838 result(s) for "Wang, Jihua"
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Verification of the chromosome number using cytogenetics and estimation of genome size via flow cytometry and k-mer analyses for representative Anoectochilus roxburghii accessions
Anoectochilus roxburghii (Wall.) Lindl. is a perennial herb of orchidaceae. Because of its functions of heat-clearing and blood-cooling, removing dampness, detoxification and enhancing immunity, it is considered as a nutritious medicinal plant with high economic value. Originating from Guangdong province, China, chromosome number and genome size of A. roxburghii (“Luofushan-1”) were determined through cytogenetics, flow cytometry, and k-mer analysis. We analyzed the karyotype of A. roxburghii using different cytogenetic markers, and the results showed a chromosome number of 2n = 80, but no sex-linked chromosome heterotropy was observed. For flow cytometry analysis, tomato and maize were used as internal standard, and the 2C DNA amount among sixteen Anoectochilus accessions ranged from 6.57 to 8.26 pg (including Luofushan-1). Additionally, a genome survey of “Luofushan-1” was performed using Illumina HiSeq 2000 DNA sequencing, k-mer analysis revealed that the genome size of “Luofushan-1” was approximately 5.68 Gbp. This comprehensive study establishes a foundation for subsequent whole-genome sequencing of A. roxburghii, contributing valuable insights into its genetic characteristics and paving the way for further research on this medicinal plant.
Real-time reliable determination of binding kinetics of DNA hybridization using a multi-channel graphene biosensor
Reliable determination of binding kinetics and affinity of DNA hybridization and single-base mismatches plays an essential role in systems biology, personalized and precision medicine. The standard tools are optical-based sensors that are difficult to operate in low cost and to miniaturize for high-throughput measurement. Biosensors based on nanowire field-effect transistors have been developed, but reliable and cost-effective fabrication remains a challenge. Here, we demonstrate that a graphene single-crystal domain patterned into multiple channels can measure time- and concentration-dependent DNA hybridization kinetics and affinity reliably and sensitively, with a detection limit of 10 pM for DNA. It can distinguish single-base mutations quantitatively in real time. An analytical model is developed to estimate probe density, efficiency of hybridization and the maximum sensor response. The results suggest a promising future for cost-effective, high-throughput screening of drug candidates, genetic variations and disease biomarkers by using an integrated, miniaturized, all-electrical multiplexed, graphene-based DNA array. Monitoring DNA binding and single-base mismatches accurately in real time is difficult, especially for miniaturized devices. Here the authors report a graphene field-effect transistor array capable of reliably measuring DNA hybridization kinetics and affinity at the picomolar level.
Ganoderic acid C2 exerts the pharmacological effects against cyclophosphamide-induced immunosuppression: a study involving molecular docking and experimental validation
Triterpenoids, as the main active ingredient of Ganoderma lucidum fermented extract, exert multiple pharmacological activities, including immunomodulatory properties. Our study aimed to reveal the pharmacological effects and potential mechanisms of Ganoderic acid C2 (GAC) against cyclophosphamide (CY)-associated immunosuppression. Target genes were collected from several public databases, including the DisGeNET, Comparative Toxicogenomics Database, GeneCards, and PharmMapper. STRING database was used to construct the protein–protein interaction of network. Subsequently, molecular docking was carried out to visualize the protein-GAC interactions. Experimental validations, including ELISA and qRT-PCR were performed to confirm the pharmacological activities of GAC on CY-induced immunosuppression model. A total of 56 GAC-related targets were identified to be closely associated with CY-induced immunosuppression. Enrichment analyses results revealed that these targets were mainly involved in immune and inflammatory response-related pathways. STAT3 and TNF were identified as the core targets of GAC. Molecular docking indicated that GAC combined well with STAT3 and TNF protein. In addition, animal experiments indicated that GAC improved immunity as well as STAT3 and TNF genes expression in CY-induced immunosuppression, which further verified the prediction through bioinformatics analysis and molecular docking. We successfully revealed the potential therapeutics mechanisms underlying the effect of GAC against CY-induced immunosuppression based on the combination of bioinformatics analysis, molecular docking, and animal experiments. Our findings lay a theoretical foundation for the in-depth development and utilization of Ganoderma lucidum fermentation product in the future, and also provide theoretical guidance for the development of innovative drugs that assist in improving immunity.
Improving prediction of secondary structure, local backbone angles and solvent accessible surface area of proteins by iterative deep learning
Direct prediction of protein structure from sequence is a challenging problem. An effective approach is to break it up into independent sub-problems. These sub-problems such as prediction of protein secondary structure can then be solved independently. In a previous study, we found that an iterative use of predicted secondary structure and backbone torsion angles can further improve secondary structure and torsion angle prediction. In this study, we expand the iterative features to include solvent accessible surface area and backbone angles and dihedrals based on Cα atoms. By using a deep learning neural network in three iterations, we achieved 82% accuracy for secondary structure prediction, 0.76 for the correlation coefficient between predicted and actual solvent accessible surface area, 19° and 30° for mean absolute errors of backbone φ and ψ angles, respectively and 8° and 32° for mean absolute errors of Cα-based θ and τ angles, respectively, for an independent test dataset of 1199 proteins. The accuracy of the method is slightly lower for 72 CASP 11 targets but much higher than those of model structures from current state-of-the-art techniques. This suggests the potentially beneficial use of these predicted properties for model assessment and ranking.
The water lily genome and the early evolution of flowering plants
Water lilies belong to the angiosperm order Nymphaeales. Amborellales, Nymphaeales and Austrobaileyales together form the so-called ANA-grade of angiosperms, which are extant representatives of lineages that diverged the earliest from the lineage leading to the extant mesangiosperms 1 – 3 . Here we report the 409-megabase genome sequence of the blue-petal water lily ( Nymphaea colorata ). Our phylogenomic analyses support Amborellales and Nymphaeales as successive sister lineages to all other extant angiosperms. The N. colorata genome and 19 other water lily transcriptomes reveal a Nymphaealean whole-genome duplication event, which is shared by Nymphaeaceae and possibly Cabombaceae. Among the genes retained from this whole-genome duplication are homologues of genes that regulate flowering transition and flower development. The broad expression of homologues of floral ABCE genes in N. colorata might support a similarly broadly active ancestral ABCE model of floral organ determination in early angiosperms. Water lilies have evolved attractive floral scents and colours, which are features shared with mesangiosperms, and we identified their putative biosynthetic genes in N. colorata . The chemical compounds and biosynthetic genes behind floral scents suggest that they have evolved in parallel to those in mesangiosperms. Because of its unique phylogenetic position, the N. colorata genome sheds light on the early evolution of angiosperms. The genome of the tropical blue-petal water lily Nymphaea colorata and the transcriptomes from 19 other Nymphaeales species provide insights into the early evolution of angiosperms.
Analysis of the evolution and causes of groundwater chemistry after ecological water replenishment of the Jialu River, China
Ecological water replenishment is an important measure for conserving water sources and improving the water environment. To explore the evolution and causes of groundwater chemistry after ecological water replenishment in the Jialu River, this study utilized groundwater monitoring data from 2015 to 2019 following ecological water replenishment. Various methods, including Piper’s trilinear diagram, Gibbs diagram, principal component analysis, and ion ratio analysis, were employed for research purposes. The results indicate that (1) since the implementation of ecological water replenishment in the Jialu River, there has been a general downwards trend in total dissolved solids (TDS) in groundwater. The dominant cation in groundwater is Ca 2+ , whereas HCO 3 − is the dominant anion. The concentration of cations in groundwater has generally decreased, with noticeable reductions in SO 4 2− and Cl − concentrations in the upper reaches of the recharge river contributing to improved groundwater quality. (2) A comparison with 2015 reveals a gradual transition at sampling points from chemical types such as HCO 3 -Ca·Mg and HCO 3 ·Cl–Ca·Mg to an ecological water replenishment chemical type (HCO 3 -Ca).
Origin and evolution of the triploid cultivated banana genome
Most fresh bananas belong to the Cavendish and Gros Michel subgroups. Here, we report chromosome-scale genome assemblies of Cavendish (1.48 Gb) and Gros Michel (1.33 Gb), defining three subgenomes, Ban, Dh and Ze, with Musa acuminata ssp. banksii , malaccensis and zebrina as their major ancestral contributors, respectively. The insertion of repeat sequences in the Fusarium oxysporum f. sp. cubense ( Foc ) tropical race 4 RGA2 (resistance gene analog 2) promoter was identified in most diploid and triploid bananas. We found that the receptor-like protein (RLP) locus, including Foc race 1-resistant genes, is absent in the Gros Michel Ze subgenome. We identified two NAP (NAC-like, activated by apetala3/pistillata) transcription factor homologs specifically and highly expressed in fruit that directly bind to the promoters of many fruit ripening genes and may be key regulators of fruit ripening. Our genome data should facilitate the breeding and super-domestication of bananas. Chromosome-scale genome assemblies of triploid Cavendish and Gros Michel reveal the banana cultivars’ origins, disease resistance and fruit ripening mechanism.
Nine complete chloroplast genomes of the Camellia genus provide insights into evolutionary relationships and species differentiation
The genus Camellia, known for species such as Camellia japonica , is of significant agricultural and ecological importance. However, the genetic diversity and evolutionary relationships among Camellia species remain insufficiently explored. In this study, we successfully sequenced and assembled the complete chloroplast (cp) genomes of nine Camellia accessions, including the species Camellia petelotii , and eight varieties of C. Japonica ( C. Japonica ‘Massee Lane’ , C. Japonica ‘L.T.Dees’ , C. Japonica ‘Songzi’ , C. Japonica ‘Kagirohi’ , C. Japonica ‘Sanyuecha’ , C. Japonica ‘Xiameng Hualin’ , C. Japonica ‘Xiameng Wenqing’ , and C. Japonica ‘Xiameng Xiaoxuan’ ). These genomes exhibited conserved lengths (~ 156,580–157,002 bp), indicating minimal variation in genome size. They consistently predicted 87 protein-coding genes, although variations were observed in the rRNA and tRNA genes. Structural and evolutionary analyses revealed the highly conserved nature of these cp genomes, with no significant inversions or gene rearrangements detected. Consistent codon usage patterns were observed across these accessions. Five hypervariable regions ( rpsbK , psbM , ndhJ , ndhF , and ndhD ) were identified as potential molecular markers for species differentiation. Phylogenetic analysis of 82 accessions from the Camellia genus, along with outgroup accessions revealed close genetic relationships among certain C. japonica varieties, including Songzi, Sanyuecha, L.T.Dees, and Kagirohi, which formed sister groups. Massee Lane was located within Sect. Camellia . Moreover, Xiameng Hualin , Xiameng Wenqing , Xiameng Xiaoxuan , and C. petelotii demonstrated a strong genetic affinity. These findings provide valuable insights into the structural and evolutionary dynamics of Camellia cp genomes, contributing to species identification and conservation.
Integration of high-throughput omics technologies in medicinal plant research: The new era of natural drug discovery
Medicinal plants are natural sources to unravel novel bioactive compounds to satisfy human pharmacological potentials. The world’s demand for herbal medicines is increasing year by year; however, large-scale production of medicinal plants and their derivatives is still limited. The rapid development of modern technology has stimulated multi-omics research in medicinal plants, leading to a series of breakthroughs on key genes, metabolites, enzymes involved in biosynthesis and regulation of active compounds. Here, we summarize the latest research progress on the molecular intricacy of medicinal plants, including the comparison of genomics to demonstrate variation and evolution among species, the application of transcriptomics, proteomics and metabolomics to explore dynamic changes of molecular compounds, and the utilization of potential resources for natural drug discovery. These multi-omics research provide the theoretical basis for environmental adaptation of medicinal plants and allow us to understand the chemical diversity and composition of bioactive compounds. Many medicinal herbs’ phytochemical constituents and their potential health benefits are not fully explored. Given their large diversity and global distribution as well as the impacts of growth duration and environmental factors on bioactive phytochemicals in medicinal plants, it is crucial to emphasize the research needs of using multi-omics technologies to address basic and applied problems in medicinal plants to aid in developing new and improved medicinal plant resources and discovering novel medicinal ingredients.
The giant genome of lily provides insights into the hybridization of cultivated lilies
Lilies are economically important monocots known for their ornamental flowers, bulbs, and large genomes. The absence of their genomic information has impeded evolutionary studies and genome-based breeding efforts. Here, we present reference genomes for Lilium sargentiae (lily, 35.66 Gb) and Gloriosa superba (flame lily, 5.09 Gb). The giant lily genome is shaped by recent long terminal repeat retroelements. Phylogenetic analysis reveals diverse, independent origins of lily cultivars. Gene families involved in sucrose and starch metabolism are significantly expanded in the lily genome. Key homologs of XTH22 , SOC1 , and AP1/FUL -like genes regulate the development, bud growth transition, and floral bud growth transition of lily bulbs. Colchicine biosynthetic gene clusters are identified in G. superba but are absent in L. sargentiae , highlighting independent colchicine evolution in Colchicaceae. These genomic insights enhance understanding of Liliales evolution, providing a foundation for future breeding and molecular research. Lilies are perennial plants with ornamental flowers and large genomes. The authors assemble genomes of two Liliales species, analyze lily phylogeny, flower and stem development (bulbs in lilies, rhizomes in flame lilies), bulb growth transitions, and colchicine biosynthesis.