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Li, G.

Publications and source records attributed to Li, G..

At least 361 records · Page 20Linked to original sources

Chromosome-level genome assembly of Rorippa aquatica revealed its allotetraploid origin and mechanisms of heterophylly upon submergence

The ability to respond to environmental variability is essential for living systems, especially to sessile organisms such as plants. The amphibious plant Rorippa aquatica exhibits a drastic type of phenotypic plasticity known as heterophylly, a phenomenon where leaf form is altered in response to the surrounding environment. Although heterophylly has been studied in various plant species, its molecular mechanism has not been fully elucidated. To establish the genetic basis and analyze the evolutionary processes responsible for heterophylly, we assembled the chromosome-level genome of R. aquatica by combining data from Illumina short-read sequencing, PacBio long-read sequencing, and High-throughput Chromosome Conformation Capture (Hi-C) sequencing technologies. Fine-scale comparative chromosome painting and chromosomal genomics revealed that allopolyploidization and subsequent post-polyploid descending dysploidy occurred during R. aquatica speciation. The genomic information above was the basis for the transcriptome analyses to examine the mechanisms involved in heterophylly, especially in response to the submerged condition, which uncovered that the ethylene and blue light signaling pathways participate in regulating heterophylly under submerged conditions. The assembled R. aquatica reference genome provides novel insights into the molecular mechanisms and evolution of heterophylly.

plant biology↗

Sucrose metabolism and candidate genes during catkin fibers development in poplar

Poplar is an important tree species for ecological protection, wood production, bioenergy and urban greening; it has been widely planted worldwide. However, the catkin fibers produced by female poplars can cause environmental pollution and safety hazards during spring. This study focused on Populus tomentosa, and revealed the sucrose metabolism regulatory mechanism of catkin fibers development from morphological, physiological and molecular aspects. Paraffin section suggested that poplar catkin fibers were not seed hairs and produced from the epidermal cells of funicle and placenta. Sucrose degradation via invertase and sucrose synthase played the dominant role during poplar catkin fibers development. The expression patterns revealed that sucrose metabolism-related genes played important roles during catkin fibers development. Y1H analysis indicated that there was a potential interaction between sucrose synthase 2 (PtoSUS2)/vacuolar invertase 3 (PtoVIN3) and MYB/ bHLH transcription factors in poplar. Finally, the two key genes, PtoSUS2 and PtoVIN3, had roles in Arabidopsis trichome density, indicating that sucrose metabolism is important in poplar catkin fibers development. This study is not only helpful for clarifying the mechanism of sucrose regulation during trichome development in perennial woody plants, but also establishes a foundation to solve poplar catkin fibers pollution through genetic engineering methods. HighlightSucrose degradation via invertase and sucrose synthase plays an important role in poplar catkin fibers development, and PtoSUS2 and PtoVIN3 are potential promising targets to solve poplar catkin fibers pollution.

molecular biology↗

Adipokine C1q/Tumor necrosis factor-related protein 3 (CTRP3) Attenuates Intestinal Inflammation via Histone Deacetylase Sirtuin 1 (SIRT1)/NF-κB Signaling

BACKGROUND & AIMSThe adipokine C1q/tumor necrosis factor-related protein 3 (CTRP3) has anti-inflammatory effects in several non-intestinal disorders. Although CTRP3 is reduced in the serum of patients with inflammatory bowel disease (IBD), its function in IBD has not been established. We aimed to elucidate the function of CTRP3 and related molecular mechanisms in intestinal inflammation using a colitis model of genetically-modified CTRP3 mice and intestinal epithelial tissue from patients with Crohns disease (CD), one of the two main forms of IBD. METHODSCTRP3 knockout (KO) and overexpressing transgenic (Tg) mice along with their corresponding wild-type (WT) littermates were subjected to drinking water containing dextran sulfate sodium (DSS) for 6-10 days to induce acute colitis. Mouse colitis symptoms and histological data were analyzed. CTRP3-mediated signaling was examined in the intestinal tissue of mice and patients with CD. RESULTSCTRP3 mRNA and protein were detected in murine and human intestinal epithelial cells, as well as in murine intestinal smooth muscle cells and mesenteric fat. In DSS-induced acute colitis models, CTRP3 KO mice developed more severe colitis than their WT littermates, while CTRP3 overexpressing Tg mice developed less severe colitis than their WT littermates. In both water- and DSS-treated CTRP3 KO mice, reduced CTRP3 levels correlated with decreased levels of Sirtuin 1 (SIRT1), a histone deacetylase, increased levels of phosphorylated nuclear factor kappa B (NF-{kappa}B) subunit p65, resulting in increased expression of pro-inflammatory cytokines tumor necrosis factor- (TNF-) and interleukin 6 (IL-6). The results from CTRP3 Tg mice mirrored those from CTRP3 KO mice in most respects. This CTRP3/SIRT1/NF-{kappa}B relationship was also observed in the intestinal epithelial tissue of patients with active and inactive CD. CONCLUSIONSCTRP3 expression levels correlate negatively with intestinal inflammation in mouse colitis models and CD patients. CTRP3 attenuates intestinal inflammation via SIRT1/NF-{kappa}B signaling to suppress pro-inflammatory cytokines in mouse colitis models and patients with IBD. The manipulation of CTRP3 signaling, including through the use of SIRT1 agonists, may offer translational potential in the treatment of IBD. WHAT YOU NEED TO KNOWO_ST_ABSBACKGROUND AND CONTEXTC_ST_ABSAdipokine C1q/tumor necrosis factor-related protein 3 (CTRP3) is a novel adipokine with known non-intestinal anti-inflammatory effects. CTRP3 is reduced in the serum of patients with inflammatory bowel disease (IBD). However, little is known about whether and how CTRP3 influences intestinal inflammation in IBD. NEW FINDINGSCTRP3 mRNA and protein were detected in murine and human intestinal epithelial cells, as well as in murine intestinal smooth muscle cells and mesenteric fat. CTRP3 deletion was associated with more severe acute dextran sulfate sodium (DSS)-induced colitis, while CTRP3 overexpression was associated with less severe colitis. In both mice and humans, reduced CTRP3 levels correlated with reduced levels of the histone deacetylase Sirtuin 1 (SIRT1), resulting in the up-regulation of phosphorylated nuclear factor-kappa B (NF-{kappa}B) p65 and pro-inflammatory cytokine synthesis. LIMITATIONSThis study was performed using genetically modified mice and human tissue samples. An acute DSS-induced colitis model was used; additional mouse colitis models designed to mimic other aspects of IBD will be examined in future studies. The specific source of the secreted CTRP3 protein which influences intestinal inflammation is yet to be identified. The use of recombinant CTRP3 protein supplementation and SIRT1 agonists to mitigate intestinal inflammation also requires further study. IMPACTCTRP3 is a novel anti-inflammatory adipokine that attenuates intestinal inflammation in colitis mouse models and intestinal epithelial tissue of patients with IBD. CTRP3 attenuates intestinal inflammation by activating SIRT1, which suppresses the pro-inflammatory transcriptional activity of phosphorylated NF-{kappa}B p65. CTRP3 and SIRT1 agonists have potential as novel IBD drug targets.

pathology↗

MCIBox: A Toolkit for Single-molecule Multi-way Chromatin Interaction Visualization and Micro-Domains Identification

The emerging ligation-free three-dimensional (3D) genome mapping technologies can identify multiplex chromatin interactions with single-molecule precision. These technologies offer new insight into high-dimensional chromatin organization and gene regulation, but also introduce new challenges in data visualization and analysis. To overcome these challenges, we developed MCIBox, a toolkit for Multi-way Chromatin Interaction (MCI) analysis, including a visualization tool and a platform for identifying micro-domains with clustered single-molecule chromatin complexes. MCIBox is based on various clustering algorithms integrated with dimensionality reduction methods that can display multiplex chromatin interactions at single-molecule level, allowing users to explore chromatin extrusion patterns and super-enhancers regulation modes in transcription, and to identify single-molecule chromatin complexes that are clustered into micro-domains. Furthermore, MCIBox incorporates a two-dimensional kernel density estimation algorithm to identify micro-domains boundaries automatically. These micro-domains were stratified with distinctive signatures of transcription activity and contained different cell cycle associated genes. MCIBox could potentially distinguish the specificity of single-molecule chromatin interaction patterns in various phases of a cell cycle or cell types.

genomics↗

A hybrid unsupervised approach for accurate short read clustering and barcoded sample demultiplexing in nanopore sequencing

Short nucleic acid sequences are usually attached as DNA barcodes for multiple sample sequencing and single cell protocols, which enables Oxford Nanopore sequencing to sequence multiple barcoded DNA samples on a single flow cell. However, due to the high base-calling error, short reads in Nanopore sequencing are difficult to be accurately identified by traditional tools. Here, we propose a hybrid unsupervised approach for the accurate clustering of short reads and demultiplexing of barcoded samples in Nanopore sequencing. In our approach, both the nucleic base information translated from base-calling and the raw current signal directly outputted by the flow cell are utilized. A GPU-supported parallelization strategy is proposed to ensure the runtime of our hybrid clustering. Comprehensive experiments demonstrate that our approach outperforms all the traditional unsupervised tools in short read clustering, and achieves comparable accuracy in barcoded sample demultiplexing compared with the learning-based methods.

bioinformatics↗

CellDrift: Inferring Perturbation Responses in Temporally-Sampled Single Cell Data

Cells and tissues respond to perturbations in multiple ways that can be sensitively reflected in alterations of gene expression. Current approaches to finding and quantifying the effects of perturbations on cell-level responses over time disregard the temporal consistency of identifiable gene programs. To leverage the occurrence of these patterns for perturbation analyses, we developed CellDrift (https://github.com/KANG-BIOINFO/CellDrift), a generalized linear model-based functional data analysis method capable of identifying covarying temporal patterns of various cell types in response to perturbations. As compared to several other approaches, CellDrift demonstrated superior performance in the identification of temporally varied perturbation patterns and the ability to impute missing time points. We applied CellDrift to multiple longitudinal datasets, including COVID-19 disease progression and gastrointestinal tract development, and demonstrated its ability to identify specific gene programs associated with sequential biological processes, trajectories, and outcomes.

bioinformatics↗

Self-avoidance alone does not explain the function of Dscam1 in mushroom body axonal wiring

Alternative splicing of Drosophila Dscam1 into 38,016 isoforms provides neurons with a unique molecular code for self-recognition and self-avoidance. A canonical model suggests that homophilic binding of identical Dscam1 isoforms on sister branches of mushroom body (MB) axons supports segregation with high fidelity, even when only a single isoform is expressed. Here we generated a series of mutant flies with a single exon 4, 6, or 9 variant, encoding 1,584, 396, or 576 potential isoforms, respectively. Surprisingly, most of the mutants in the latter two groups exhibited obvious defects in the growth, branching, and segregation of MB axonal sister branches. This demonstrates that repertoires of 396 and 576 Dscam1 isoforms were not sufficient for normal patterning of axonal branches. Moreover, reducing Dscam1 levels largely reversed the defects caused by reduced isoform diversity, suggesting a functional link between Dscam1 expression levels and isoform diversity. Taken together, these results indicate that canonical self-avoidance alone does not explain the function of Dscam1 in MB axonal wiring.

neuroscience↗

Cis mutagenesis in vivo reveals extensive noncanonical functions of Dscam1 isoforms in neuronal wiring

Drosophila Dscam1 encodes ten thousand of cell recognition molecules via alternative splicing, which is required for nervous function. However, the underlying mechanism has not fully understood. Here we revealed extensive noncanonical functions of Dscam1 isoform diversity in neuronal wiring. We generated a series of allelic cis mutations in Dscam1, encoding normal number of isoforms albeit with altered isoform composition. Despite normal dendritic self-avoidance and self/non-self discrimination in da neurons, which is consistent with canonical self-avoidance model, these mutants exhibited strikingly distinct spectra of phenotypic defects in three classes of neurons: up to [~]60% defects in mushroom bodies, a significantly increased branching and growth in da neurons, and mild axonal branching defects in mechanosensory neurons. These data suggest that proper Dscam1 isoform composition is required for axon and dendrite growth in diverse neurons. This unprecedented splicing-tuned regulation unlocks new insights into the molecular mechanisms that Dscam1 isoform diversity is engaged in.

neuroscience↗

The senescence regulator S40 family members from Caragana intermedia and Arabidopsis thaliana inhibit leaf senescence via promoting cytokinins synthesis

Leaf senescence is regulated by both endogenous hormones and environmental stimuli in a programmed and concerted way. The members of the S40 family have been reported to play roles in leaf senescence. Here we report that overexpression of an S40 family member from Caragana intermedia, CiS40-11, delayed the leaf senescence. Phylogenetic analysis revealed that the CiS40-11 protein had the highest identity with AtS40-5 and AtS40-6 of A. thaliana. CiS40-11 was highly expressed in leaves and was down-regulated after dark treatment. The subcellular localization analysis showed that CiS40-11 was a cytoplasm-nucleus dual-localized protein. Leaf senescence was delayed in CiS40-11 transgenic A. thaliana or by its transient expression in C. intermedia. Transcriptomic analysis and endogenous hormones assay revealed that CiS40-11 inhibited leaf senescence via promoting the biosynthesis of cytokinins, through blocking AtMYB2 expression in CiS40-11 overexpression lines. Furthermore, in the ats40-5a and ats40-6a mutants, AtMYB2 expression was increased and their leaves exhibited a premature senescence phenotype. Our results show that CiS40-11 (and its orthologs, AtS40-5 and AtS40-6) promoted cytokinin synthesis by inhibiting the expression of MYB2 and releasing its negative regulation on the expression of IPTs to inhabit leaf senescence. HighlightThe senescence regulator S40 family members CiS40-11, AtS40-5 and AtS40-6 are induced by light and inhibition leaf senescence by promoting cytokinin synthesis.

plant biology↗

A toolkit of highly selective and sensitive genetically encoded neuropeptide sensors

Neuropeptides are key signaling molecules in the endocrine and nervous systems that regulate many critical physiological processes, including energy balance, sleep and circadian rhythms, stress, and social behaviors. Understanding the functions of neuropeptides in vivo requires the ability to monitor their dynamics with high specificity, sensitivity, and spatiotemporal resolution; however, this has been hindered by the lack of direct, sensitive and non-invasive tools. Here, we developed a series of GRAB (G protein-coupled receptor activation-based) sensors for detecting somatostatin (SST), cholecystokinin (CCK), corticotropin-releasing factor (CRF), neuropeptide Y (NPY), neurotensin (NTS), and vasoactive intestinal peptide (VIP). These fluorescent sensors utilize the corresponding GPCRs as the neuropeptide-sensing module with the insertion of a circular-permutated GFP as the optical reporter. This design detects the binding of specific neuropeptides at nanomolar concentration with a robust increase in fluorescence. We used these GRAB neuropeptide sensors to measure the spatiotemporal dynamics of endogenous SST release in isolated pancreatic islets and to detect the release of both CCK and CRF in acute brain slices. Moreover, we detect endogenous CRF release induced by stressful experiences in vivo using fiber photometry and 2-photon imaging in mice. Together, these new sensors establish a robust toolkit for studying the release, function, and regulation of neuropeptides under both physiological and pathophysiological conditions.

neuroscience↗

LSMMD-MA: Scaling multimodal data integration for single-cell genomics data analysis

MotivationModality matching in single-cell omics data analysis--i.e., matching cells across data sets collected using different types of genomic assays--has become an important problem, because unifying perspectives across different technologies holds the promise of yielding biological and clinical discoveries. However, single-cell dataset sizes can now reach hundreds of thousands to millions of cells, which remains out of reach for most multi-modal computational methods. ResultsWe propose LSMMD-MA, a large-scale Python implementation of the MMD-MA method for multimodal data integration. In LSMMD-MA we reformulate the MMD-MA optimization problem using linear algebra and solve it with KeOps, a CUDA framework for symbolic matrix computation in Python. We show that LSMMD-MA scales to a million cells in each modality, two orders of magnitude greater than existing implementations. AvailabilityLSMMD-MA is freely available at https://github.com/google-research/large_scale_mmdma Contactlpapaxanthos@google.com

bioinformatics↗

Multifaceted Atlases of the Human Brain in its Infancy

Brain atlases agglomerate structural and functional features of a population of individuals in a standard coordinate space. Here, we introduce for the first time a collection of atlases that charts postnatal development of the human brain in a spatio-temporally dense manner from two weeks to two years of age. Atlases capturing month-to-month changes of the human brain are essentially nonexistent for the first two years of life -- the critical developmental period during which the brain is evolving in virtually all facets at an exponential pace. This unmet need is compounded by the lack of atlases that provide a unified and holistic picture of the brain from both the perspectives of cortical surface convolutions and tissue volumetric characteristics. Existing surface and volumetric atlases are typically constructed independently in different coordinate spaces, causing discrepancies and complications in multifaceted analyses. Our month-specific conjoint surface and volumetric atlases chart normative patterns and capture key traits of early brain development and are therefore critical for identifying aberrations from normal developmental trajectories. Our atlases represent a major advance toward providing the neuroscience community an invaluable resource to facilitate the understanding of early structural and functional development by mapping multiple measurements of infant brains in a common reference frame for precise spatio-temporal quantification of cortical and subcortical changes.

neuroscience↗

Mapping Multiple Factors Mediated Chromatin Interactions to Assess Regulatory Network and Dysregulation of Lung Cancer-Related Genes

Studies on the lung cancer genome are indispensable for developing a cure for lung cancer. Whole-genome resequencing, genome-wide association studies, and transcriptome sequencing have greatly improved our understanding of the cancer genome. However, dysregulation of long-range chromatin interactions in lung cancer remains poorly described. To better understand the three-dimensional (3D) genomic interaction features of the lung cancer genome, we used the A549 cell line as a model system. The generated high-resolution data revealed chromatin interactions associated with RNA polymerase II (RNAPII), CCCTC-binding factor (CTCF), enhancer of zeste 2 polycomb repressive complex 2 subunit (EZH2), and histone 3 lysine 27 trimethylation (H3K27me3) using specific antibodies and long-read chromatin interaction analysis by paired-end tag sequencing (ChIA-PET). The EZH2/H3K27me3-mediated interactions further silenced target genes, either through loops or domains, and showed distributions along the genome distinct from and complementary to those associated with RNAPII. We found that cancer-related genes were highly enriched in chromatin interactions. We identified abnormal interactions associated with oncogenes and tumor suppressors, such as additional repressive interactions on FOXO4 and promoter - promoter interactions between NF1 and RNF135. Knockout of abnormal interactions reversed the dysregulation of cancer-related genes, suggesting that chromatin interactions are essential for proper expression of lung cancer-related genes. These findings demonstrate the 3D landscape and gene regulatory relationships of the lung cancer genome.

genomics↗

Learning deep representations of enzyme thermal adaptation

Temperature is a fundamental environmental factor that shapes the evolution of organisms. Learning thermal determinants of protein sequences in evolution thus has profound significance for basic biology, drug discovery, and protein engineering. Here, we use a dataset of over 3 million enzymes labeled with optimal growth temperatures (OGT) of their source organisms to train a deep neural network model (DeepET). The protein-temperature representations learned by DeepET provide a temperature-related statistical summary of protein sequences and capture structural properties that affect thermal stability. For prediction of enzyme optimal catalytic temperatures and protein melting temperatures via a transfer learning approach, our DeepET model outperforms classical regression models trained on rationally designed features and other recent deep-learning-based representations. DeepET thus holds promise for understanding enzyme thermal adaptation and guiding the engineering of thermostable enzymes.

bioinformatics↗

Effects of immunomodulatory peptides derived from a soil bacterium on cecal microbiota of broilers challenged with Clostridium perfringens

Brevibacillus texasporus peptide (BT peptide) is immunomodulatory in poultry as a feed additive to substitute antibiotics. In the present study we performed 16S rRNA gene sequencing to compare development of the cecal microbial communities in Clostridium perfringens-challenged broilers fed basal diet only or with either BT peptide (48 ppm) or antibiotics mixture (20 ppm bacitracin zinc and 40 ppm colistin sulfate). 240 chicks were randomly assigned into each treatment and a total of 65 cecal samples were collected at the beginning, during seven challenge days and one week post challenge. The composition of microbial communities was clearly distinguishable over time. Treatments with challenge and the antibiotics mixture were associated with increased diversity and with higher relative abundances of Alistipes sp. CHKCI003 and Faecalibacterium and lower abundance of Escherichia coli (all p < 0.05). At the termination of the trial, the cecal microbiota in broilers supplemented with BT peptide was dominated by members of Bacteroidaceae. Predicted function analysis reveals significant enrichment of genes involved in ion-coupled transporters and sugar and biotin metabolism in the BT peptide treatment. Taken together, our results suggest that BT peptide and commonly used antibiotics have different influences on modulating the composition of cecal microbiota in broilers.

microbiology↗

Excited-state dynamics of the all-trans protonated retinal Schiff base in CRABPII-based rhodopsin mimics

The rhodopsin mimic is a chemically synthetized complex with the retinyl Schiff base (RSB) formed between protein and the retinal chromophore, which can mimic the natural rhodopsin-like protein. The artificial rhodopsin mimic is more stable and designable than the natural protein and hence has wider uses in photon detection devices. The mimic structure RSB, like the case in the actual rhodopsin-like protein, undergoes isomerization and protonation throughout the photoreaction process. As a result, understanding the dynamics of the RSB in the photoreaction process is critical. In this study, the transient absorption spectra (TAS) of three mutants of the cellular retinoic acid-binding protein II (CRABPII)-based rhodopsin mimic at PH = 3 were recorded, from which the related excited-state dynamics of the all-trans protonated RSB (AT-PRSB) were investigated. The transient fluorescence spectra (TFS) measurements are used to validate some of the dynamic features. We find that the excited-state dynamics of AT-PRSB in three mutants share a similar pattern that differs significantly from the dynamics of 15-cis PRSB (15C-PRSB) of the rhodopsin mimic in neutral solution. By comparing the dynamics across the three mutants, we discovered that the aromatic residues near the {beta}-ionone ring structure of the retinal may help stabilize the AT-PRSB and hence slow down its isomerization rate. Furthermore, from the three mutants, we find one protein with near-infrared fluorescence emission up to 688 nm, leading to further possible applications in sensing or bioimaging.

biochemistry↗

Sympathetic blockage attenuates fasting-induced hepatic steatosis

Background and AimAlthough it is clear that the central nervous system coordinates whole-body metabolism, the neural mechanism for hepatic steatosis remains unclear. This study is aimed to explore the neural mechanism of fasting-induced hepatic steatosis. MethodsMice were pretreated with 6-hydroxydopamine to block sympathetic nerve activity before fasting, and explored the potential effects of chemical sympathectomy on fasting-induced hepatic steatosis and transcriptional changes. ResultsProlonged fasting led to obvious hepatic steatosis, low core temperature, and similar effects to cold-induced white adipose lipolysis. The alterations in hepatic mRNA expression revealed that the hepatic lipid accumulation did not result from the increase of hepatic lipogenesis or the decrease of fatty acid oxidation but from the enhanced fatty acid uptake as indicated by the upregulation of CD36. Blockage of the sympathetic nervous system via chemical sympathectomy attenuated fasting-induced hepatic steatosis and suppressed CD36 upregulation in the liver, but did not obviously alter the expression of genes associated with lipogenesis or fatty acid oxidation. ConclusionsThese findings indicate that the sympathetic nervous system orchestrates the mechanism for fasting-induced hepatic steatosis via modulating CD36 expression and adipose fat trafficking into the liver, which provides clues to reveal new targets for fatty liver diseases. HIGHLIGHTSO_LIProlonged fasting causes obvious hepatic steatosis C_LIO_LISympathectomy attenuates fasting-induced hepatic steatosis C_LIO_LISympathectomy attenuates steatosis via suppressing CD36 upregulation C_LI IN BRIEFProlonged fasting contributes to sympathetic hyperactivity, but its role in the pathogenesis of hepatic steatosis remains unclear. Here, we found prolonged fasting led to obvious hepatic steatosis, low core temperature, and subsequent sympathetic stimulation that promoted white adipose lipolysis, hepatic upregulation of CD36, and adipose fat trafficking into the liver.

pathology↗

Characterization of alkaloids and metabolic intermediates from Dendrobium officinale induced by methyl jasmonate

JA signaling plays a pivotal role in plant stress responses and secondary metabolism. Many studies have demonstrated that jasmonates effectively induce the expressions of alkaloid biosynthesis genes in various plants, which rendered to the accumulation of alkaloid to counteract stresses. Despite the multiple roles of jasmonate (JA) in the regulation of plant growth and different stresses, less studied involved in the regulatory role of JA in D. officinale alkaloids. A strategy for the rapid identification of alkaloid and the intermediates of D. officinale was established based on a solid-phase extraction coupled with high-performance liquid chromatography tandem mass spectrometry method. By using SPE-HPLC-LTQ-Orbitrap method, the potential compounds were tentatively identified by aligning the accurate molecular weight with the METLIN and Dictionary of Natural Products databases. The chemical structures and main characteristic fragments of the potential compounds were further confirmed by retrieving the multistage mass spectra from the MassBank and METLIN databases.The Mass Frontier software was used to speculate the fragmentation pathway of the identified compounds. Seven alkaloids were separated and identified from D. officinale, which were mainly classified into five types (tropane alkaloids, tetrahydroisoquinoline alkaloids, quinolizidine alkaloids, piperidine alkaloids and spermidine alkaloids). Besides the alkaloids, forty-nine chemical substances, including guanidines, nucleotides, dipeptides, sphingolipids and nitrogen-containing glucosides, were concurrently identified. These findings gives the composition of chemicals currently found in D. officinale, which could provide the scientific method for the identification of alkaloids in other Dendrobium plants.

plant biology↗