Search

Increasing crop production is necessary to feed the world's expanding population, and crop breeders often utilize genetic variations to improve crop yield and quality. However, the narrow diversity of the wheat D genome seriously restricts its selective breeding. A practical solution is to exploit the genomic variations of Aegilops tauschii via introgression. Here, we established a rapid introgression platform for transferring the overall genetic variations of A. tauschii to elite wheats, thereby enriching the wheat germplasm pool. To accelerate the process, we assembled four new reference genomes, resequenced 278 accessions of A. tauschii and constructed the variation landscape of this wheat progenitor species. Genome comparisons highlighted diverse functional genes or novel haplotypes with potential applications in wheat improvement. We constructed the core germplasm of A. tauschii, including 85 accessions covering more than 99% of the species' overall genetic variations. This was crossed with elite wheat cultivars to generate an A. tauschii-wheat synthetic octoploid wheat (A-WSOW) pool. Laboratory and field analysis with two examples of the introgression lines confirmed its great potential for wheat breeding. Our high-quality reference genomes, genomic variation landscape of A. tauschii and the A-WSOW pool provide valuable resources to facilitate gene discovery and breeding in wheat.

Inflammation is a key factor in the development and complications of various diseases because it has a complex pathogenesis. Andrographis paniculate (Burm. f.) Nees (Chuan Xinlian) is a well-known form of Traditional Chinese Medicine (TCM) applied in clearing heat and detoxification. Also, it is rich in bioactive lactones, with various anti-inflammatory activities. Here, network pharmacology combined with molecular biology experimental approach was used to predict and verify the potential molecular mechanism of Chuan Xinlian in treating inflammation. The bioactive ingredients of Chuan Xinlian were obtained from the TCMSP database and literature. Besides, the targets of Chuan Xinlian and inflammation were collected based on the multi-source databases and used to generate the PPI network. Network topology analysis and functional enrichment analysis were used to screen hub genes and their mechanisms. Molecular docking simulation was performed to evaluate the binding activity between the predicted hub genes and the bioactive ingredients. Additionally, LPS-induced NO production in RAW264.7 cell inflammatory response, RT-PCR and Western blot were used to validate the efficacy of the Chuan Xinlian in the treatment of inflammation. Network analysis outcomes indicated that five targets (IL-6, VEGFA, PTGST2, TNF-α, and MMP-9) were identified as the key targets of Chuan Xinlian in the treatment of inflammation. Further, molecular docking findings revealed that the majority of the bioactive ingredients exhibited a strong binding efficacy towards the predicted hub genes. Functional analysis results showed that the potential mechanisms were primarily concentrated in key pathways including cancer, immunology, and inflammation process. Moreover, RT-PCR and Western blot analysis indicated that Chuan Xinlian extract suppressed the production of inflammatory mediators with anti-inflammatory effects. Our study shows that Chuan Xinlian potentially exerts an anti-inflammatory effect via key pathways including cancer, immunology, and inflammation process. This suggests that Chuan Xinlian has a potential anti-inflammatory action, thereby providing a scientific reference for clinical studies.

Objective. The mechanism of peach kernel-safflower in treating diabetic nephropathy (DN) was investigated using network pharmacology. Methods. Network pharmacology methodology was applied to screen the effective compounds of peach kernel-safflower in the SymMap and TCMSP databases. Potential targets were then screened in the ETCM, SEA, and SymMap databases to construct a compound-target network. This was followed by screening of DN targets in OMIM, Gene, and GeneCards databases. The common targets of drugs and diseases were selected for analysis in the STRING database, and the results were imported into Cytoscape 3.8.0 to construct a protein-protein interaction network. Next, GO and KEGG enrichment analyses were performed. Finally, Schrödinger molecular docking verified the reliability of the results. Results. A total of 23 effective compounds and 794 potential targets resulted from our screening process. Quercetin and luteolin were identified as the main effective ingredients in peach kernel-safflower. Furthermore, five key targets (VEGFA, IL6, TNF, AKT1, and TP53), AGE-RAGE, fluid shear stress and atherosclerosis, IL-17, and HIF-1 signaling pathways may be involved in the treatment of DN using peach kernel-safflower. Conclusions. This study embodies the complex network relationship of multicomponents, multitargets, and multipathways of peach kernel-safflower to treat DN and provides a basis for further research on its mechanism.

BackgroundSarcomas, cancers originating from mesenchymal cells, are comprehensive tumors with poor prognoses, yet their tumorigenic mechanisms are largely unknown. In this study, we characterize infiltrating immune cells and analyze immune scores to identify the molecular mechanism of immunologic response to sarcomas.MethodThe “CIBERSORT” algorithm was used to calculate the amount of L22 immune cell infiltration in sarcomas. Then, the “ESTIMATE” algorithm was used to assess the “Estimate,” “Immune,” and “Stromal” scores. Weighted gene co-expression network analysis (WGCNA) was utilized to identify the significant module related to the immune therapeutic target. Gene ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed using the “clusterProfiler” package in R for annotation and visualization.ResultsMacrophages were the most common immune cells infiltrating sarcomas. The number of CD8 T cells was negatively associated with that of M0 and M2 macrophages, and positively associated with M macrophages in sarcomas samples. The clinical parameters (disease type, gender) significantly increased with higher Estimate, Immune, and Stromal scores, and with a better prognosis. The blue module was significantly associated with CD8 T cells. Functional enrichment analysis showed that the blue module was mainly involved in chemokine signaling and the PI3K-Akt signaling pathway.CD48, P2RY10andRASAL3were identified and validated at the protein level.ConclusionBased on the immune cell infiltration and immune microenvironment, three key genes were identified, thus presenting novel molecular mechanisms of sarcoma metastasis.

Background Osteosarcoma (OS) is a common malignant bone tumor originating in the interstitial tissues and occurring mostly in adolescents and young adults. Energy metabolism is a prerequisite for cancer cell growth, proliferation, invasion, and metastasis. However, the gene signatures associated with energy metabolism and their underlying molecular mechanisms that drive them are unknown. Methods Energy metabolism-related genes were obtained from the TARGET database. We applied the “NFM” algorithm to classify putative signature gene into subtypes based on energy metabolism. Key genes related to progression were identified by weighted co-expression network analysis (WGCNA). Based on least absolute shrinkage and selection operator (LASSO) Cox proportional regression hazards model analyses, a gene signature for the predication of OS progression and prognosis was established. Robustness and estimation evaluations and comparison against other models were used to evaluate the prognostic performance of our model. Results Two subtypes associated with energy metabolism was determined using the “NFM” algorithm, and significant modules related to energy metabolism were identified by WGCNA. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) suggested that the genes in the significant modules were enriched in kinase, immune metabolism processes, and metabolism-related pathways. We constructed a seven-gene signature consisting of SLC18B1, RBMXL1, DOK3, HS3ST2, ATP6V0D1, CCAR1, and C1QTNF1 to be used for OS progression and prognosis. Upregulation of CCAR1, and C1QTNF1 was associated with augmented OS risk, whereas, increases in the expression SCL18B1, RBMXL1, DOK3, HS3ST2, and ATP6VOD1 was correlated with a diminished risk of OS. We confirmed that the seven-gene signature was robust, and was superior to the earlier models evaluated; therefore, it may be used for timely OS diagnosis, treatment, and prognosis. Conclusions The seven-gene signature related to OS energy metabolism developed here could be used in the early diagnosis, treatment, and prognosis of OS.

The underlying molecular characteristics of osteoarthritis (OA), a common age-related joint disease, remains elusive. Here, we aimed to identify potential early diagnostic biomarkers and elucidate underlying mechanisms of OA using weighted gene co-expression network analysis (WGCNA).We obtained the gene expression profile dataset GSE55235, GSE55457, and GSE55584, from the Gene Expression Omnibus. WGCNA was used to investigate the changes in co-expressed genes between normal and OA synovial membrane samples. Modules that were highly correlated to OA were subjected to functional enrichment analysis using the R clusterProfiler package. Differentially expressed genes (DEGs) between the two samples were screened using the "limma" package in R. A Venn diagram was constructed to intersect the genes in significant modules and DEGs. RT -PCR was used to further verify the hub gene expression levels between normal and OA samples.The preserved significant module was found to be highly associated with OA development and progression (P1e-200, correlation = 0.92). Functional enrichment analysis suggested that the antiquewhite4 module was highly correlated to FoxO signaling pathway, and the metabolism of fatty acids and 2-oxocarboxylic acid. A total of 13 hub genes were identified based on significant module network topology and DEG analysis, and RT-PCR confirmed that these genes were significantly increased in OA samples compared with that in normal samples.We identified 13 hub genes correlated to the development and progression of OA, which may provide new biomarkers and drug targets for OA.

Synovial-derived cells, found in the synovial membrane of human joints, were obtained by digestion of the synovial membrane and were subsequently expanded in vitro. The identity of synovial-derived cells has long been a topic of debate. The terms “type B synoviocytes,” “fibroblast-like synoviocytes (FLS),” “synovium-derived mesenchymal stem cells (MSCs),” and “synovial fibroblasts (SF)” appeared in different articles related to human synovial-derived cells in various disease models, yet they seemed to be describing the same cell type. However, to date, there is no clear standard to distinguish these terms; thus, the hypothesis that they represent the same cell type is currently inconclusive. Therefore, this review aims to clarify the similarities and differences between these terms and to diffuse the chaotic nomenclature of synovial-derived cells.

The purpose of this study was to evaluate the effect of salmon calcitonin (sCT) on improving fibrosis-related indicators in frozen shoulder synovial/capsular fibroblasts (SCFs) and detect the potential downstream pathway. Quantitative real-time polymerase chain reaction and cell-substrate adhesion assays were used to measure alterations in fibrosis-related molecule expression and the cell adhesion ability of frozen shoulder SCFs after treatment with range concentrations of sCT. The presence of calcitonin receptors (CTRs) in shoulder joint synovial/capsular tissue samples was detected by immunohistochemistry (IHC). The downstream pathways of sCT in SCFs were further explored by utilizing three classical pathway inhibitors. With the addition of sCT to the culture medium of frozen shoulder SCFs, the messenger RNA (mRNA) expression of collagen type I (COL1A1), COL3A1, fibronectin 1, laminin 1, transforming growth factor-β1 (TGF-β1), and interleukin-1α (IL-1α) showed a descending trend as the sCT concentration increased. Treatment with sCT increased the expression of vascular endothelial growth factor and IL-6 in a dose-dependent manner. The enhanced adhesion ability of frozen shoulder SCFs gradually diminished with increasing concentrations of sCT. By using IHC, the CTR was detected extensively in the frozen shoulder joint synovium and capsule. Blocking the protein kinase C (PKC) pathway reversed the sCT-mediated suppression of COL1A1 production. Blocking the PKC or protein kinase A (PKA) pathway eliminated the sCT-induced inhibition of TGF-β1 production. This study demonstrated that sCT effectively improved the mRNA expression of fibrosis-related molecules and decreased the enhanced cell-substrate adhesion ability of frozen shoulder SCFs. sCT might achieve these effects by interacting with the CTR that is expressed on the SCF surface and by activating the downstream PKC or PKA pathway.

Interleukin-21 (IL-21) is a cytokine that plays a crucial role in pathogenesis and activity of the rheumatoid arthritis (RA). Meanwhile, genetic polymorphisms in the IL-21 gene may alter its expression. Previous studies have reported conflicting results assessing the association between the IL-21 rs6822844 G/T polymorphism and RA risk. Thus, it’s necessary to perform a meta-analysis to definite above relationship. PubMed database was searched for all papers published until October 20, 2019. Nine case–control studies with 9998 cases and 10742 controls were retrieved based on the search criteria at last. Odds ratio (95% confidence interval) was used to calculate the strength of this association. Publication bias was detected using both Begg’s and Egger’s tests. Overall, the IL-21 rs6822844 G/T polymorphism was found to be significantly associated with decreased RA risk (e.g. T-allele versus G-allele: OR = 0.81, 95% CI = 0.72–0.91, P < 0.001). In addition, decreased RA risk was also detected both in Asians (eg: TT+TG versus GG: OR = 0.42, 95% CI = 0.31–0.56, P < 0.001) and Caucasians (eg: TT+TG versus GG: OR = 0.85, 95% CI = 0.80–0.91, P < 0.001). A similar trend in association was found in the source of the control and genotype method subgroups. Furthermore, subgroup analysis of rheumatoid factor status revealed a protective relationship between the IL-21 rs6822844 G/T polymorphism and RF+/RF- RA risk. A similar relationship was noted in the anti-citrullinated protein antibody status subgroup. The results of the present study suggest that the IL-21 rs6822844 G/T polymorphism was significantly associated with decreased RA susceptibility.

The authors wish to make the following correction to their paper [...]

Synovium-derived mesenchymal stromal cells (SMSCs) may play an important role in the pathogenesis of rheumatoid arthritis (RA) and show promise for therapeutic applications in RA. In this study, a whole-genome microarray analysis was used to detect differential gene expression in SMSCs from RA patients and healthy donors (HDs). Our results showed that there were 4828 differentially expressed genes in the RA group compared to the HD group; 3117 genes were upregulated, and 1711 genes were downregulated. A Gene Ontology analysis showed significantly enriched terms of differentially expressed genes in the biological process, cellular component, and molecular function domains. A Kyoto Encyclopedia of Genes and Genomes analysis showed that the MAPK signaling and rheumatoid arthritis pathways were upregulated and that the p53 signaling pathway was downregulated in RA SMSCs. Quantitative real-time polymerase chain reaction was applied to verify the expression variations of the partial genes mentioned above, and a western blot analysis was used to determine the expression levels of p53, p-JNK, p-ERK, and p-p38. Our study found that differentially expressed genes in the MAPK signaling, rheumatoid arthritis, and p53 signaling pathways may help to explain the pathogenic mechanism of RA and lead to therapeutic RA SMSC applications.

Scaffolds with antioxidant capability have attracted considerable interests for wound healing. For enhanced wound healing, new antioxidant materials are still highly needed. In this study, new antioxidant materials, arginine derivatives (AD), were introduced into dopamine-functionalized hyaluronic acid (HA-DA) to develop novel hydrogels (HA-DA/AD) with enhanced antioxidant activity. The HA-DA/AD hydrogels showed greater DPPH and hydroxyl radical scavenging rates than the HA-DA hydrogel. Moreover, the HA-DA/AD hydrogels exhibited significantly better protection for cells against external oxidative stress (decreased ROS and MDA levels and increased SOD and GPx enzyme activity) and better wound healing (enhanced VEGF and CD 31 expression and enhanced tissue remodeling). This study confirmed that AD could assist wound healing scaffolds to have enhanced antioxidant properties.

In this study, the network pharmacology analysis method was used to explore the bioactive components and targets of Xianlinggubao (XLGB) and further elucidate its potential biological mechanisms of action in the treatment of osteoporosis (OP). The bioactive compounds and predictive targets of XLGB were collected from the traditional Chinese medicine systems pharmacology databases and analysis platform(TCMSP), the Encyclopeida of traditional Chinese medicine (ETCM), traditional Chinese medicine Databse@Taiwan, ChEMBL, STITCH, and SymMap database. The targets corresponding to OP were obtained by using Online Mendelian Inheritance in Man® (OMIM), GeneCards, the National Center for Biotechnology Information-Gene database. The XLGB-OP targets were obtained by intersecting with the targets of XLGB and OP. Protien-Protien interaciton (PPI) network was constructed using STRING online database and analyzed using Cytoscape 3.7.0 software to screen out hub genes. Gene ontology (GO) and KEGG enrichment analysis of the target in the PPI network was conducted using the ClusterProfiler package in R with adjusted p-value

Aurantio-obtusin, an anthraquinone compound, isolated from dried seeds of Cassia obtusifolia L. (syn. Senna obtusifolia, Fabaceae) and Cassia tora L. (syn. Senna tora). Although the biological activities of Semen Cassiae have been reported, the anti-inflammatory mechanism of aurantio-obtusin, its main compound, on RAW264.7 cells, remained unknown. We investigated the anti-inflammatory effect of aurantio-obtusin on lipopolysaccharide- (LPS)-induced RAW264.7 cells in vitro and elucidated the possible underlying molecular mechanisms. Nitric oxide production (NO) and prostaglandin E2 (PGE2) were measured by the Griess colorimetric method and enzyme-linked immunosorbent assay (ELISA), respectively. Protein expression levels of cyclooxygenase 2 (COX-2) were monitored by cell-based ELISA. Interleukin 6 (IL-6) and tumor necrosis factor-alpha (TNF-&alpha, ) synthesis were analyzed using ELISA. The mRNA expression of nitric oxide synthase (iNOS), COX-2, and the critical pro-inflammatory cytokines (IL-6 and TNF-&alpha, ) were detected by quantitative real-time PCR. Aurantio-obtusin significantly decreased the production of NO, PGE2, and inhibited the protein expression of COX-2, TNF-&alpha, and IL-6, which were similar to those gene expression of iNOS, COX-2, TNF-&alpha, and IL-6 (p &lt, 0.01). Consistent with the pro-inflammatory gene expression, the Aurantio-obtusin efficiently reduced the LPS-induced activation of nuclear factor-&kappa, B in RAW264.7 cells. These results suggested that aurantio-obtusin may function as a therapeutic agent and can be considered in the further development of treatments for a variety of inflammatory diseases. Further studies may provide scientific evidence for the use of aurantio-obstusin as a new therapeutic agent for inflammation-related diseases.

SUMMARYA century ago, influenza A virus (IAV) infection caused the 1918 flu pandemic and killed an estimated 20-40 million people. Pandemic IAV outbreaks occur when strains from animal reservoirs acquire the ability to infect and spread among humans. The molecular details of this species barrier are incompletely understood. We combined metabolic pulse labeling and quantitative shotgun proteomics to globally monitor protein synthesis upon infection of human cells with a human-and a bird-adapted IAV strain. While production of host proteins was remarkably similar, we observed striking differences in the kinetics of viral protein synthesis over the course of infection. Most importantly, the matrix protein M1 was inefficiently produced by the bird-adapted strain at later stages. We show that impaired production of M1 from bird-adapted strains is caused by increased splicing of the M segment RNA to alternative isoforms. Experiments with reporter constructs and recombinant influenza viruses revealed that strain-specific M segment splicing is controlled by the 3’ splice site and functionally important for permissive infection. Independentin silicoevidence shows that avian-adapted M segments have evolved different conserved RNA structure features than human-adapted sequences. Thus, our data identifies M segment RNA splicing as a viral determinant of host range.

The core promoter, which immediately flanks the transcription start site (TSS), plays a critical role in transcriptional regulation of eukaryotes. Recent studies on higher eukaryotes have revealed an unprecedented complexity of core promoter structures that underscores diverse regulatory mechanisms of gene expression. For unicellular eukaryotes, however, the structures of core promoters have not been investigated in detail. As an important model organism, Schizosaccharomyces pombe still lacks the precise annotation for TSSs, thus hampering the analysis of core promoter structures and their relationship to higher eukaryotes. Here we used a deep sequencing-based approach (DeepCAGE) to generate 16 million uniquely mapped tags, corresponding to 93,736 positions in the S. pombe genome. The high-resolution TSS landscape enabled identification of over 8,000 core promoters, characterization of 4 promoter classes and observation of widespread alternative promoters. The landscape also allowed precise determination of the representative TSSs within core promoters, thus redefining the 5' UTR for 82.8% of S. pombe genes. We further identified the consensus initiator (Inr) sequence – PyPyPuN(A/C)(C/A), the TATA-enriched region (between position −25 and −37) and an Inr immediate downstream motif – CC(T/A)(T/C)(T/C/A)(A/G)CCA(A/T/C), all of which were associated with highly expressed promoters. In conclusion, the detailed analysis of core promoters not only significantly improves the genome annotation of S. pombe, but also reveals that this unicellular eukaryote shares a highly similar organization in the core promoters with higher eukaryotes. These findings lend additional evidence for the power of this model system in delineating complex regulatory processes in multicellular organisms, despite its perceived simplicity.

Do young and old protein molecules have the same probability to be degraded? We addressed this question using metabolic pulse-chase labeling and quantitative mass spectrometry to obtain degradation profiles for thousands of proteins. We find that >10% of proteins are degraded non-exponentially. Specifically, proteins are less stable in the first few hours of their life and stabilize with age. Degradation profiles are conserved and similar in two cell types. Many non-exponentially degraded (NED) proteins are subunits of complexes that are produced in super-stoichiometric amounts relative to their exponentially degraded (ED) counterparts. Within complexes, NED proteins have larger interaction interfaces and assemble earlier than ED subunits. Amplifying genes encoding NED proteins increases their initial degradation. Consistently, decay profiles can predict protein level attenuation in aneuploid cells. Together, our data show that non-exponential degradation is common, conserved, and has important consequences for complex formation and regulation of protein abundance.

Transcription initiated at alternative sites can produce mRNA isoforms with different 5ʹUTRs, which are potentially subjected to differential translational regulation. However, the prevalence of such isoform‐specific translational control across mammalian genomes is currently unknown. By combining polysome profiling with high‐throughput mRNA 5ʹ end sequencing, we directly measured the translational status of mRNA isoforms with distinct start sites. Among 9,951 genes expressed in mouse fibroblasts, we identified 4,153 showed significant initiation at multiple sites, of which 745 genes exhibited significant isoform‐divergent translation. Systematic analyses of the isoform‐specific translation revealed that isoforms with longer 5ʹUTRs tended to translate less efficiently. Further investigation of cis‐elements within 5ʹUTRs not only provided novel insights into the regulation by known sequence features, but also led to the discovery of novel regulatory sequence motifs. Quantitative models integrating all these features explained over half of the variance in the observed isoform‐divergent translation. Overall, our study demonstrated the extensive translational regulation by usage of alternative transcription start sites and offered comprehensive understanding of translational regulation by diverse sequence features embedded in 5ʹUTRs.

Bone marrow-derived mesenchymal stem cells (BMSCs) are being broadly investigated for treating numerous inflammatory diseases. However, the low survival rate of BMSCs during the transplantation process has limited their application. Autophagy can maintain cellular homeostasis and protect cells against environmental stresses. Tumor necrosis factor-α (TNF-α) is an important inflammatory cytokine that can induce both autophagy and apoptosis of BMSCs. However, the actual role of autophagy in TNF-α-induced apoptosis of BMSCs remains poorly understood. In the current study, BMSCs were treated with TNF-α/cycloheximide (CHX), and cell death was examined by the Cell Counting Kit-8, Hoechst 33342 staining, and flow cytometric analysis as well as by the level of caspase-3 and caspase-8. Meanwhile, autophagic flux was examined by analyzing the level of microtubule-associated protein light chain 3 B (LC3B)-II and SQSTEM1/p62 and by examining the amount of green fluorescent protein-LC3B by fluorescence microscopy. Then, the cell death and autophagic flux of BMSCs were examined after pretreatment and cotreatment with 3-methyladenine (3-MA, autophagy inhibitor) or rapamycin (Rap, autophagy activator) together with TNF-α/CHX. Moreover, BMSCs pretreated with lentiviruses encoding short hairpin RNA of beclin-1 (BECN1) were treated with TNF-α/CHX, and then cell death and autophagic flux were detected. We showed that BMSCs treated with TNF-α/CHX presented dramatically elevated autophagic flux and cell death. Furthermore, we showed that 3-MA and shBECN1 treatment accelerated TNF-α/CHX-induced apoptosis, but that Rap treatment ameliorated cell death. Our results demonstrate that autophagy protects BMSCs against TNF-α-induced apoptosis. Enhancing the autophagy of BMSCs may elevate cellular survival in an inflammatory microenvironment.

Scutellaria baicalensis Georgi has long been used in traditional medicine to treat various such widely varying diseases and has been listed in the Chinese Pharmacopeia, the Japanese Pharmacopeia, the Korean Pharmacopoeia and the European Pharmacopoeia. Flavonoids, especially wogonin, wogonoside, baicalin, and baicalein, are its main functional ingredients with various pharmacological activities. Although pharmaological studies for these flavonoid components have been well conducted, the molecular mechanism of their biosynthesis remains unclear in S. baicalensis. In this study, Illumina/Solexa deep sequencing generated more than 91 million paired-end reads and 49,507 unigenes from S. baicalensis roots, stems, leaves and flowers. More than 70% unigenes were annotated in at least one of the five public databases and 13,627 unigenes were assigned to 3,810 KEGG genes involved in 579 different pathways. 54 unigenes that encode 12 key enzymes involved in the pathway of flavonoid biosynthesis were discovered. One baicalinase and three baicalein 7-O-glucuronosyltransferases genes potentially involved in the transformation between baicalin/wogonoside and baicalein/wogonin were identified. Four candidate 6-hydroxylase genes for the formation of baicalin/baicalein and one candidate 8-O-methyltransferase gene for the biosynthesis of wogonoside/wogonin were also recognized. Our results further support the conclusion that, in S. baicalensis, 3,5,7-trihydroxyflavone was the precursor of the four above compounds. Then, the differential expression models and simple sequence repeats associated with these genes were carefully analyzed. All of these results not only enrich the gene resource but also benefit research into the molecular genetics and functional genomics in S. baicalensis.

Circular RNAs (circRNAs) have re-emerged as an interesting RNA species. Here, by deep RNA profiling in different mouse tissues, we observed that circRNAs are significantly enriched in brain.and a disproportionate fraction of them is derived from host genes that code for synaptic proteins. Moreover, based on separate profiling of the RNAs localized in neuronal cell bodies and neuropil, on average, circRNAs are more enriched in the neuropil than their host gene mRNA isoforms. Using high resolution in situ hybridization we, for the first time, visualized circRNA punctae in the dendrites of neurons. Consistent with the idea that circRNAs might regulate synaptic function, during development, many circRNAs change their abundance abruptly at a time corresponding to synaptogenesis. In addition, following a homeostatic downscaling of neuronal activity many circRNAs exhibit significant up or down-regulation. Together, our data indicate that brain circRNAs are positioned to respond to and regulate synaptic function.

Apiaceae (Umbelliferae) is a large angiosperm family that includes many medicinally important species. The ability to identify these species and their adulterants is important, yet difficult to do so because of their subtle fruit morphological differences and often lack of diagnostic features in preserved specimens. Moreover, dried roots are often the official medical organs, making visual identification to species almost impossible. DNA barcoding has been proposed as a powerful taxonomic tool for species identification. The Consortium for the Barcode of Life (CBOL) Plant Working Group has recommended the combination of rbcL+matK as the core plant barcode. Recently, the China Plant BOL Group proposed that the nuclear ribosomal DNA internal transcribed spacer (ITS), as well as a subset of this marker (ITS2), be incorporated alongside rbcL+matK into the core barcode for seed plants, particularly angiosperms. In this study, we assess the effectiveness of these four markers plus psbA-trnH as Apiaceae barcodes. A total of 6032 sequences representing 1957 species in 385 diverse genera were sampled, of which 211 sequences from 50 individuals (representing seven species) were newly obtained. Of these five markers, ITS and ITS2 showed superior results in intra- and interspecific divergence and DNA barcoding gap assessments. For the matched data set (173 samples representing 45 species in five genera), the ITS locus had the highest identification efficiency (73.3%), yet ITS2 also performed relatively well with 66.7% identification efficiency. The identification efficiency increased to 82.2% when using an ITS+psbA-trnH marker combination (ITS2+psbA-trnH was 80%), which was significantly higher than that of rbcL+matK (40%). For the full sample data set (3052 ITS sequences, 3732 ITS2 sequences, 1011 psbA-trnH sequences, 567 matK sequences and 566 rbcL sequences), ITS, ITS2, psbA-trnH, matK and rbcL had 70.0%, 64.3%, 49.5%, 38.6% and 32.1% discrimination abilities, respectively. These results confirm that ITS or its subset ITS2 be incorporated into the core barcode for Apiaceae and that the combination of ITS/ITS2+psbA-trnH has much potential value as a powerful, standard DNA barcode for Apiaceae identification.

Gene annotation is a critical resource in genomics research. Many computational approaches have been developed to assemble transcriptomes based on high-throughput short-read sequencing, however, only with limited accuracy. Here, we combine next-generation and third-generation sequencing to reconstruct a full-length transcriptome in the rat hippocampus, which is further validated using independent 5´ and 3´-end profiling approaches. In total, we detect 28,268 full-length transcripts (FLTs), covering 6,380 RefSeq genes and 849 unannotated loci. Based on these FLTs, we discover co-occurring alternative RNA processing events. Integrating with polysome profiling and ribosome footprinting data, we predict isoform-specific translational status and reconstruct an open reading frame (ORF)-eome. Notably, a high proportion of the predicted ORFs are validated by mass spectrometry-based proteomics. Moreover, we identify isoforms with subcellular localization pattern in neurons. Collectively, our data advance our knowledge of RNA and protein isoform diversity in the rat brain and provide a rich resource for functional studies., It is challenging to characterize diverse transcript isoforms by short-read sequencing. Here the authors report full-length transcriptomes in rat hippocampus by hybrid-sequencing, predict isoform-specific translational status, and reconstruct open reading frames validated by mass spectrometry.