15 results on '"Yu-Tian Tao"'
Search Results
2. Complete chloroplast genome data reveal the existence of the Solidago canadensis L. complex and its potential introduction pathways into China
- Author
-
Yu-Tian Tao, Lu-Xi Chen, Ming Jiang, Jie Jin, Zhong-Shuai Sun, Chao-Nan Cai, Han-Yang Lin, Allison Kwok, Jun-Min Li, and Mark van Kleunen
- Subjects
Solidago ,chloroplast genome ,phylogenetic analysis ,introduction pathways ,molecular marker ,Plant culture ,SB1-1110 - Abstract
Solidago canadensis, native to North America, is an invasive species in many areas of the world, where it causes serious damage to natural ecosystems and economic losses. However, a dearth of genetic resources and molecular markers has hampered our understanding of its invasion history. Here, we de novo assembled 40 complete chloroplast genomes of Solidago species, including 21 S. canadensis individuals, 15 S. altissima individuals, and four S. decurrens individuals, the sizes of which ranged from 152,412 bp to 153,170 bp. The phylogenetic trees based on the complete chloroplast genome sequences and nuclear genome-wide SNP data showed that S. canadensis and S. altissima cluster together and form a monophyletic pair, as sister to S. decurrens, indicating the existence of the S. canadensis L. complex in China. Three potential introduction pathways were identified. The chloroplast-genome structure and gene contents are conservative in the genomes of the S. canadensis L. complex and S. decurrens. The analysis of sequence divergence indicated five variable regions, and 10 chloroplast protein-coding genes that underwent positive selection were identified. Our findings shed new light on the invasion history of S. canadensis and the data sets generated in this study will facilitate future research on its chloroplast genome evolution.
- Published
- 2024
- Full Text
- View/download PDF
3. Genome-wide identification and analysis of bZIP gene family reveal their roles during development and drought stress in Wheel Wingnut (Cyclocarya paliurus)
- Author
-
Yu-Tian Tao, Lu-Xi Chen, Jie Jin, Zhao-Kui Du, and Jun-Min Li
- Subjects
Cyclocarya paliurus ,bZIP gene family ,Leaf development ,Drought stress ,RT-qPCR ,Biotechnology ,TP248.13-248.65 ,Genetics ,QH426-470 - Abstract
Abstract Background The bZIP gene family has important roles in various biological processes, including development and stress responses. However, little information about this gene family is available for Wheel Wingnut (Cyclocarya paliurus). Results In this study, we identified 58 bZIP genes in the C. paliurus genome and analyzed phylogenetic relationships, chromosomal locations, gene structure, collinearity, and gene expression profiles. The 58 bZIP genes could be divided into 11 groups and were unevenly distributed among 16 C. paliurus chromosomes. An analysis of cis-regulatory elements indicated that bZIP promoters were associated with phytohormones and stress responses. The expression patterns of bZIP genes in leaves differed among developmental stages. In addition, several bZIP members were differentially expressed under drought stress. These expression patterns were verified by RT-qPCR. Conclusions Our results provide insights into the evolutionary history of the bZIP gene family in C. paliurus and the function of these genes during leaf development and in the response to drought stress. In addition to basic genomic information, our results provide a theoretical basis for further studies aimed at improving growth and stress resistance in C. paliurus, an important medicinal plant.
- Published
- 2022
- Full Text
- View/download PDF
4. Plant Virome Analysis by the Deep Sequencing of Small RNAs of Fritillaria thunbergii var. chekiangensis and the Rapid Identification of Viruses
- Author
-
Lu-xi Chen, Hang-kai Pan, Yu-tian Tao, Dang Yang, Hui-min Deng, Kai-jie Xu, Wen-bin Chen, and Jun-min Li
- Subjects
fritillaria thunbergii var. chekiangensis ,multiplex rt-pcr ,small rna sequencing ,virus ,Plant culture ,SB1-1110 - Abstract
Thunberg fritillary (Fritillaria thunbergii), a perennial used in traditional Chinese herbal medicine, is a members of the family Liliaceae. The degeneration of germplasm is a severe problem in the production of Fritillaria thunbergii var. chekiangensis. However, no information about viral infections of F. thunbergii var. chekiangensis has been reported. In this study, we sequenced the small RNAs of F. thunbergii var. chekiangensis from leaves and bulbs, and viruses were identified using a phylogenetic analysis and BLAST search for sequence. In addition, multiplex reverse transcriptase-polymerase chain reaction (RT-PCR) was used to rapidly detect viruses in this variety. Our study first reported that five viruses infected F. thunbergii var. chekiangensis. Among them, fritillary virus Y (FVY), lily mottle virus (LMoV), Thunberg fritillary mosaic virus (TFMV), and hop yellow virus (HYV) had been reported in F. thunbergii, while apple stem grooving virus was first reported in the genus Fritillaria. A multiplex RT-PCR method was developed to rapidly test the four viruses FVY, LMoV, TFMV, and HYV in F. thunbergii var. chekiangensis. Our results provide a better understanding of the infection of F. thunbergii var. chekiangensis by viruses and a basic reference for the better design of suitable control measures.
- Published
- 2022
- Full Text
- View/download PDF
5. Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes
- Author
-
Peng-Cheng Chen, Li Ruan, Jie Jin, Yu-Tian Tao, Xiao-Bao Ding, Hai-bo Zhang, Wen-Ping Guo, Qiao-lei Yang, Heng Yao, and Xin Chen
- Subjects
Caenorhabditis elegans ,Functional interaction ,Database ,Gene set linkage analysis ,Transcriptomic analysis tool ,Biology (General) ,QH301-705.5 - Abstract
Abstract Background The nematode worm, Caenorhabditis elegans, is a saprophytic species that has been emerging as a standard model organism since the early 1960s. This species is useful in numerous fields, including developmental biology, neurobiology, and ageing. A high-quality comprehensive molecular interaction network is needed to facilitate molecular mechanism studies in C. elegans. Results We present the predicted functional interactome of Caenorhabditis elegans (FIC), which integrates functional association data from 10 public databases to infer functional gene interactions on diverse functional perspectives. In this work, FIC includes 108,550 putative functional associations with balanced sensitivity and specificity, which are expected to cover 21.42% of all C. elegans protein interactions, and 29.25% of these associations may represent protein interactions. Based on FIC, we developed a gene set linkage analysis (GSLA) web tool to interpret potential functional impacts from a set of differentially expressed genes observed in transcriptome analyses. Conclusion We present the predicted C. elegans interactome database FIC, which is a high-quality database of predicted functional interactions among genes. The functional interactions in FIC serve as a good reference interactome for GSLA to annotate differentially expressed genes for their potential functional impacts. In a case study, the FIC/GSLA system shows more comprehensive and concise annotations compared to other widely used gene set annotation tools, including PANTHER and DAVID. FIC and its associated GSLA are available at the website http://worm.biomedtzc.cn .
- Published
- 2020
- Full Text
- View/download PDF
6. Predicted mouse interactome and network-based interpretation of differentially expressed genes.
- Author
-
Hai-Bo Zhang, Xiao-Bao Ding, Jie Jin, Wen-Ping Guo, Qiao-Lei Yang, Peng-Cheng Chen, Heng Yao, Li Ruan, Yu-Tian Tao, and Xin Chen
- Subjects
Medicine ,Science - Abstract
The house mouse or Mus musculus has become a premier mammalian model for genetic research due to its genetic and physiological similarities to humans. It brought mechanistic insights into numerous human diseases and has been routinely used to assess drug efficiency and toxicity, as well as to predict patient responses. To facilitate molecular mechanism studies in mouse, we present the Mouse Interactome Database (MID, Version 1), which includes 155,887 putative functional associations between mouse protein-coding genes inferred from functional association evidence integrated from 9 public databases. These putative functional associations are expected to cover 19.32% of all mouse protein interactions, and 26.02% of these function associations may represent protein interactions. On top of MID, we developed a gene set linkage analysis (GSLA) web tool to annotate potential functional impacts from observed differentially expressed genes. Two case studies show that the MID/GSLA system provided precise and informative annotations that other widely used gene set annotation tools, such as PANTHER and DAVID, did not. Both MID and GSLA are accessible through the website http://mouse.biomedtzc.cn.
- Published
- 2022
- Full Text
- View/download PDF
7. Nur77 Serves as a Potential Prognostic Biomarker That Correlates with Immune Infiltration and May Act as a Good Target for Prostate adenocarcinoma
- Author
-
Qiong-Ying Hu, Jie Liu, Xiao-Kun Zhang, Wan-Ting Yang, Yu-Tian Tao, Ce Chen, Ye-He Qian, Jin-Shan Tang, Xin-Sheng Yao, Ying-He Xu, and Jing-Hui Wang
- Subjects
prostate cancer ,Nur77 ,prognosis ,target ,Organic chemistry ,QD241-441 - Abstract
Prostate adenocarcinoma (PRAD) is the most frequent malignancy, and is the second leading cause of death due to cancer in men. Thus, new prognostic biomarkers and drug targets for PRAD are urgently needed. As we know, nuclear receptor Nur77 is important in cancer development and changes in the tumor microenvironment; whereas, the function of Nur77 in PRAD remains to be elucidated. The TCGA database was used to explore the Nur77 expression and its role in the prognosis of PRAD. It was shown that Nur77 was down regulated in PRAD, and low Nur77 expression was correlated with advanced clinical pathologic characteristics (high grade, histological type, age) and poor prognosis. Furthermore, key genes screening was examined by univariate Cox analysis and Kaplan-Meier survival. Additionally, Nur77 was closely related to immune infiltration and some anti-tumor immune functions. The differentially expressed genes (DEGs) were presented by protein-protein interaction (PPI) network analysis. Therefore, the expression level of Nur77 might help predict the survival of PRAD cases, which presents a new insight and a new target for the treatment of PRAD. In vitro experiments verified that natural product malayoside targeting Nur77 exhibited significant therapeutic effects on PRAD and largely induced cell apoptosis by up-regulating the expression of Nur77 and its mitochondrial localization. Taken together, Nur77 is a prognostic biomarker for patients with PRAD, which may refresh the profound understanding of PRAD individualized treatment.
- Published
- 2023
- Full Text
- View/download PDF
8. HIR V2: a human interactome resource for the biological interpretation of differentially expressed genes via gene set linkage analysis.
- Author
-
Wen-Ping Guo, Xiao-Bao Ding, Jie Jin, Hai-bo Zhang, Qiao-lei Yang, Peng-Cheng Chen, Heng Yao, Li Ruan, Yu-Tian Tao, and Xin Chen
- Published
- 2021
- Full Text
- View/download PDF
9. Predicted Drosophila Interactome Resource and web tool for functional interpretation of differentially expressed genes.
- Author
-
Xiao-Bao Ding, Jie Jin, Yu-Tian Tao, Wen-Ping Guo, Li Ruan, Qiao-lei Yang, Peng-Cheng Chen, Heng Yao, Hai-bo Zhang, and Xin Chen
- Published
- 2020
- Full Text
- View/download PDF
10. Predicted rat interactome database and gene set linkage analysis
- Author
-
Yu-Tian, Tao, Xiao-Bao, Ding, Jie, Jin, Hai-Bo, Zhang, Wen-Ping, Guo, Li, Ruan, Qiao-Lei, Yang, Peng-Cheng, Chen, Heng, Yao, and Xin, Chen
- Subjects
Gene Ontology ,Gene Expression Profiling ,Databases, Genetic ,Animals ,AcademicSubjects/SCI00960 ,Original Article ,Rats - Abstract
Rattus norvegicus, or the rat, has been widely used as animal models for a diversity of human diseases in the last 150 years. The rat, as a disease model, has the advantage of relatively large body size and highly similar physiology to humans. In drug discovery, rat models are routinely used in drug efficacy and toxicity assessments. To facilitate molecular pharmacology studies in rats, we present the predicted rat interactome database (PRID), which is a database of high-quality predicted functional gene interactions with balanced sensitivity and specificity. PRID integrates functional gene association data from 10 public databases and infers 305 939 putative functional associations, which are expected to include 13.02% of all rat protein interactions, and 52.59% of these function associations may represent protein interactions. This set of functional interactions may not only facilitate hypothesis formulation in molecular mechanism studies, but also serve as a reference interactome for users to perform gene set linkage analysis (GSLA), which is a web-based tool to infer the potential functional impacts of a set of changed genes observed in transcriptomics analyses. In a case study, we show that GSLA based on PRID may provide more precise and informative annotations for investigators to understand the physiological mechanisms underlying a phenotype and lead investigators to testable hypotheses for further studies. Widely used functional annotation tools such as Gene Ontology (GO) analysis, and Database for Annotation, Visualization and Integrated Discovery (DAVID) did not provide similar insights. Database URL: http://rat.biomedtzc.cn
- Published
- 2020
11. Predicted Drosophila Interactome Resource and web tool for functional interpretation of differentially expressed genes
- Author
-
Xin Chen, Heng Yao, Peng-Cheng Chen, Li Ruan, Yu-Tian Tao, Jie Jin, Hai-bo Zhang, Qiao-lei Yang, Wen-Ping Guo, and Xiao-Bao Ding
- Subjects
ved/biology.organism_classification_rank.species ,Computational biology ,Interactome ,General Biochemistry, Genetics and Molecular Biology ,Transcriptome ,Annotation ,User-Computer Interface ,Genetic linkage ,Databases, Genetic ,Protein Interaction Mapping ,Animals ,Drosophila Proteins ,Model organism ,Gene ,Internet ,biology ,Models, Genetic ,ved/biology ,Gene Expression Profiling ,Reproducibility of Results ,biology.organism_classification ,Drosophila melanogaster ,Original Article ,Drosophila ,General Agricultural and Biological Sciences ,Drosophila Protein ,Algorithms ,Information Systems - Abstract
Drosophila melanogaster is a well-established model organism that is widely used in genetic studies. This species enjoys the availability of a wide range of research tools, well-annotated reference databases and highly similar gene circuitry to other insects. To facilitate molecular mechanism studies in Drosophila, we present the Predicted Drosophila Interactome Resource (PDIR), a database of high-quality predicted functional gene interactions. These interactions were inferred from evidence in 10 public databases providing information for functional gene interactions from diverse perspectives. The current version of PDIR includes 102 835 putative functional associations with balanced sensitivity and specificity, which are expected to cover 22.56% of all Drosophila protein interactions. This set of functional interactions is a good reference for hypothesis formulation in molecular mechanism studies. At the same time, these interactions also serve as a high-quality reference interactome for gene set linkage analysis (GSLA), which is a web tool for the interpretation of the potential functional impacts of a set of changed genes observed in transcriptomics analyses. In a case study, we show that the PDIR/GSLA system was able to produce a more comprehensive and concise interpretation of the collective functional impact of multiple simultaneously changed genes compared with the widely used gene set annotation tools, including PANTHER and David. PDIR and its associated GSLA service can be accessed at http://drosophila.biomedtzc.cn.
- Published
- 2020
12. OUP accepted manuscript
- Author
-
Yu-Tian Tao, Wen-Ping Guo, Heng Yao, Jie Jin, Xin Chen, Li Ruan, Hai-bo Zhang, Qiao-lei Yang, Peng-Cheng Chen, and Xiao-Bao Ding
- Subjects
0303 health sciences ,Database ,Drug discovery ,030302 biochemistry & molecular biology ,Molecular Pharmacology ,Biology ,computer.software_genre ,Interactome ,General Biochemistry, Genetics and Molecular Biology ,Protein–protein interaction ,03 medical and health sciences ,Annotation ,General Agricultural and Biological Sciences ,Rat Protein ,computer ,Gene ,Function (biology) ,030304 developmental biology ,Information Systems - Abstract
Rattus norvegicus, or the rat, has been widely used as animal models for a diversity of human diseases in the last 150 years. The rat, as a disease model, has the advantage of relatively large body size and highly similar physiology to humans. In drug discovery, rat models are routinely used in drug efficacy and toxicity assessments. To facilitate molecular pharmacology studies in rats, we present the predicted rat interactome database (PRID), which is a database of high-quality predicted functional gene interactions with balanced sensitivity and specificity. PRID integrates functional gene association data from 10 public databases and infers 305 939 putative functional associations, which are expected to include 13.02% of all rat protein interactions, and 52.59% of these function associations may represent protein interactions. This set of functional interactions may not only facilitate hypothesis formulation in molecular mechanism studies, but also serve as a reference interactome for users to perform gene set linkage analysis (GSLA), which is a web-based tool to infer the potential functional impacts of a set of changed genes observed in transcriptomics analyses. In a case study, we show that GSLA based on PRID may provide more precise and informative annotations for investigators to understand the physiological mechanisms underlying a phenotype and lead investigators to testable hypotheses for further studies. Widely used functional annotation tools such as Gene Ontology (GO) analysis, and Database for Annotation, Visualization and Integrated Discovery (DAVID) did not provide similar insights. Database URL: http://rat.biomedtzc.cn.
- Published
- 2020
- Full Text
- View/download PDF
13. Predicted yeast interactome and network-based interpretation of transcriptionally changed genes
- Author
-
Xiao-Bao Ding, Xin Chen, Wen-Ping Guo, Qiao-lei Yang, Peng-Cheng Chen, Li Ruan, Hai-bo Zhang, Yu-Tian Tao, Jie Jin, and Heng Yao
- Subjects
0106 biological sciences ,Saccharomyces cerevisiae Proteins ,Transcription, Genetic ,ved/biology.organism_classification_rank.species ,Saccharomyces cerevisiae ,Bioengineering ,Computational biology ,01 natural sciences ,Applied Microbiology and Biotechnology ,Biochemistry ,Interactome ,Protein–protein interaction ,03 medical and health sciences ,Annotation ,Interaction network ,010608 biotechnology ,Gene Expression Regulation, Fungal ,Protein Interaction Mapping ,Genetics ,Model organism ,Gene ,030304 developmental biology ,0303 health sciences ,biology ,ved/biology ,biology.organism_classification ,Yeast ,Biotechnology ,Protein Binding - Abstract
Saccharomyces cerevisiae, budding yeast, is a widely used model organism and research tool in genetics studies. Many efforts have been directed at constructing a high-quality comprehensive molecular interaction network to elucidate the design logic of the gene circuitries in this classic model organism. In this work, we present the yeast interactome resource (YIR), which includes 22,238 putative functional gene interactions inferred from functional gene association data integrated from 10 databases focusing on diverse functional perspectives. These putative functional gene interactions are expected to cover 18.84% of yeast protein interactions, and 38.49% may represent protein interactions. Based on the YIR, a gene set linkage analysis (GSLA) web tool was developed to annotate the potential functional impacts of a set of transcriptionally changed genes. In a case study, we show that the YIR/GSLA system produced more extensive and concise annotations compared with widely used gene set annotation tools, including PANTHER and DAVID. Both YIR and GSLA are accessible through the website http://yeast.biomedtzc.cn.
- Published
- 2019
14. Intraspecific diversity of fission yeast mitochondrial genomes
- Author
-
Jochen B. W. Wolf, Yan-Kai Wang, Yu-Tian Tao, Li-Lin Du, Sergio Tusso, Song Huang, and Fang Suo
- Subjects
Mitochondrial DNA ,Genome evolution ,Nuclear gene ,population genomics ,ved/biology.organism_classification_rank.species ,Sequence assembly ,mitochondrial DNA ,Biology ,de novo assembly ,Genome ,Population genomics ,Evolution, Molecular ,03 medical and health sciences ,0302 clinical medicine ,Schizosaccharomyces ,Genetics ,Model organism ,Clade ,Ecology, Evolution, Behavior and Systematics ,Phylogeny ,030304 developmental biology ,Recombination, Genetic ,0303 health sciences ,mitogenome ,ved/biology ,Intron ,Genetic Variation ,biology.organism_classification ,Evolutionary biology ,Schizosaccharomyces pombe ,Genome, Mitochondrial ,Metagenomics ,evolutionary history ,030217 neurology & neurosurgery ,Research Article - Abstract
The fission yeastSchizosaccharomyces pombeis an important model organism, but its natural diversity and evolutionary history remain under-studied. In particular, the population genomics of theS. pombemitochondrial genome (mitogenome) has not been thoroughly investigated. Here, we assembled the complete circular-mapping mitogenomes of 192S. pombeisolatesde novo, and found that these mitogenomes belong to 69 non-identical sequence types ranging from 17618 bp to 26910 bp in length. Using the assembled mitogenomes, we identified 20 errors in the reference mitogenome and discovered two previously unknown mitochondrial introns. Analysing sequence diversity of these 69 types of mitogenomes revealed two highly distinct clades, with only three mitogenomes exhibiting signs of inter-clade recombination. This diversity pattern suggests that currently availableS. pombeisolates descend from two long-separated ancestral lineages. This conclusion is corroborated by the diversity pattern of the recombination-repressedK-region located between donor mating-type locimat2andmat3in the nuclear genome. We estimated that the two ancestralS. pombelineages diverged about 31 million generations ago. These findings shed new light on the evolution ofS. pombeand the datasets generated in this study will facilitate future research on genome evolution.
- Published
- 2019
- Full Text
- View/download PDF
15. Intraspecific Diversity of Fission Yeast Mitochondrial Genomes.
- Author
-
Yu-Tian Tao, Fang Suo, Tusso, Sergio, Yan-Kai Wang, Song Huang, Wolf, Jochen B. W., and Li-Lin Du
- Abstract
The fission yeast Schizosaccharomyces pombe is an important model organism, but its natural diversity and evolutionary history remain under-studied. In particular, the population genomics of the S. pombe mitochondrial genome (mitogenome) has not been thoroughly investigated. Here, we assembled the complete circular-mapping mitogenomes of 192 S. pombe isolates de novo, and found that these mitogenomes belong to 69 nonidentical sequence types ranging from 17,618 to 26,910 bp in length. Using the assembled mitogenomes, we identified 20 errors in the reference mitogenome and discovered two previously unknown mitochondrial introns. Analyzing sequence diversity of these 69 types of mitogenomes revealed two highly distinct clades, with only three mitogenomes exhibiting signs of inter-clade recombination. This diversity pattern suggests that currently available S. pombe isolates descend from two long-separated ancestral lineages. This conclusion is corroborated by the diversity pattern of the recombinationrepressed K-region located between donor mating-type loci mat2 and mat3 in the nuclear genome. We estimated that the two ancestral S. pombe lineages diverged about 31 million generations ago. These findings shed new light on the evolution of S. pombe and the data sets generated in this study will facilitate future research on genome evolution. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.