Yangzhou Breeding Biological Agriculture Technology Co.

Yangzhou, China

Yangzhou Breeding Biological Agriculture Technology Co.

Yangzhou, China

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Zhu L.,Shanghai University | Zhang Y.,Yangzhou Breeding Biological Agriculture Technology Co. | Guo W.,Shanghai University | Wang Q.,Nanjing University
BioMed Research International | Year: 2014

Gleditsia sinensis is a genus of deciduous tree in the family Caesalpinioideae, native to China, and is of great economic importance. However, despite its economic value, gene sequence information is strongly lacking. In the present study, transcriptome sequencing of G. sinensis was performed resulting in approximately 75.5 million clean reads assembled into 142155 unique transcripts generating 58583 unigenes. The average length of the unigenes was 900 bp, with an N50 of 549 bp. The obtained unigene sequences were then compared to four protein databases to include NCBI nonredundant protein (NRDB), Swiss-prot, Kyoto Encyclopedia of Genes and Genomes (KEGG), and the Cluster of Orthologous Groups (COG). Using BLAST procedure, 31385 unigenes (53.6%) were generated to have functional annotations. Additionally, sequence homologies between identified unigenes and genes of known species in a protein-protein interaction (PPI) network facilitated G. sinensis PPI network construction. Based on this network construction, new stress resistance genes (including cold, drought, and high salinity) were predicted. The present study is the first investigation of genome-wide gene expression in G. sinensis with the results providing a basis for future functional genomic studies relating to this species. © 2014 Liucun Zhu et al.


Zhu L.,Shanghai University | Zhang Y.,Yangzhou Breeding Biological Agriculture Technology Co. | Guo W.,Shanghai University | Xu X.-J.,Shanghai University | Wang Q.,Nanjing University
BioMed Research International | Year: 2014

Sophora japonica Linn (Chinese Scholar Tree) is a shrub species belonging to the subfamily Faboideae of the pea family Fabaceae. In this study, RNA sequencing of S. japonica transcriptome was performed to produce large expression datasets for functional genomic analysis. Approximate 86.1 million high-quality clean reads were generated and assembled de novo into 143010 unique transcripts and 57614 unigenes. The average length of unigenes was 901 bps with an N50 of 545 bps. Four public databases, including the NCBI nonredundant protein (NR), Swiss-Prot, Kyoto Encyclopedia of Genes and Genomes (KEGG), and the Cluster of Orthologous Groups (COG), were used to annotate unigenes through NCBI BLAST procedure. A total of 27541 of 57614 unigenes (47.8%) were annotated for gene descriptions, conserved protein domains, or gene ontology. Moreover, an interaction network of unigenes in S. japonica was predicted based on known protein-protein interactions of putative orthologs of well-studied plant genomes. The transcriptome data of S. japonica reported here represents first genome-scale investigation of gene expressions in Faboideae plants. We expect that our study will provide a useful resource for further studies on gene expression, genomics, functional genomics, and protein-protein interaction in S. japonica. © 2014 Liucun Zhu et al.


Guo W.,Shanghai University | Zhang Y.,Yangzhou Breeding Biological Agriculture Technology Co. | Wang Q.,Nanjing University | Zhan Y.,Shanghai University | And 3 more authors.
Planta | Year: 2015

Main conclusion: High-throughput sequencing and degradome analysis forCercis giganteaidentified 194 known miRNAs and 23 novel miRNAs with 61 targets. The comparison results of highly conserved miRNAs and non-conserved miRNAs implied thatC. giganteamiRNAs were subjected to the neutral evolution. MicroRNAs play a key role in post-transcriptionally regulating gene expression during plant growth, development and other various biological processes. Although numerous miRNAs have been identified and documented, to date, there are no reports on Cercis gigantea (C. gigantea) miRNAs. In this study, C. gigantea miRNAs and their target genes were investigated by extracting RNA from young roots, tender stems, young leaves, and flower buds of C. gigantea to establish a small RNA and a degradome library to further sequence. This study identified 194 known miRNAs belonging to 52 miRNA families and 23 novel miRNAs. Among these, 158 miRNAs from 27 miRNA families were highly conserved and existed in a plurality of plants. In addition, 60 different targets for 30 known families and one target for novel miRNA were identified by high-throughput sequencing and degradome analysis in C. gigantea. The comparison results revealed that highly conserved miRNAs have higher expression levels, more family members and more targets than non-conserved miRNAs, indicating that C. gigantea miRNAs were subjected to the neutral evolution. Meanwhile, these conserved miRNAs were also found to be involved in auxin signal transduction, regulation of transcription, and other developmental processes, which will help further understanding regulatory mechanisms of C. gigantea miRNAs. © 2015 The Author(s)


Zhan Y.,Shanghai University | Guo W.,Shanghai University | Zhang Y.,Yangzhou Breeding Biological Agriculture Technology Co. | Wang Q.,Nanjing University | And 2 more authors.
Computational and Mathematical Methods in Medicine | Year: 2015

Kidney renal clear cell carcinoma (KIRC) is one of the most common cancers with high mortality all over the world. Many studies have proposed that genes could be used to predict prognosis in KIRC. In this study, RNA expression data from next-generation sequencing and clinical information of 523 patients downloaded from The Cancer Genome Atlas (TCGA) dataset were analyzed in order to identify the relationship between gene expression level and the prognosis of KIRC patients. A set of five genes that significantly associated with overall survival time was identified and a model containing these five genes was constructed by Cox regression analysis. By Kaplan-Meier and Receiver Operating Characteristic (ROC) analysis, we confirmed that the model had good sensitivity and specificity. In summary, expression of the five-gene model is associated with the prognosis outcomes of KIRC patients, and it may have an important clinical significance. © 2015 Yueping Zhan et al.


Zhu L.,Shanghai University | Zhang Y.,Yangzhou Breeding Biological Agriculture Technology Co. | Hu Y.,Shanghai University | Wen T.,Shanghai University | Wang Q.,Nanjing University
BioMed Research International | Year: 2013

Actin is one of the most highly conserved proteins and plays crucial roles in many vital cellular functions. In most eukaryotes, it is encoded by a multigene family. Although the actin gene family has been studied a lot, few investigators focus on the comparison of actin gene family in relative species. Here, the purpose of our study is to systematically investigate characteristics and evolutionary pattern of actin gene family in primates. We identified 233 actin genes in human, chimpanzee, gorilla, orangutan, gibbon, rhesus monkey, and marmoset genomes. Phylogenetic analysis showed that actin genes in the seven species could be divided into two major types of clades: orthologous group versus complex group. Codon usages and gene expression patterns of actin gene copies were highly consistent among the groups because of basic functions needed by the organisms, but much diverged within species due to functional diversification. Besides, many great potential pseudogenes were found with incomplete open reading frames due to frameshifts or early stop codons. These results implied that actin gene family in primates went through "birth and death" model of evolution process. Under this model, actin genes experienced strong negative selection and increased the functional complexity by reproducing themselves. © 2013 Liucun Zhu et al.


Zhu L.,Shanghai University | Jiang M.,Shanghai JiaoTong University | Zhang Y.,Yangzhou Breeding Biological Agriculture Technology Co. | Yu Q.,Fudan University | And 2 more authors.
Current Bioinformatics | Year: 2016

Cercis gigantea is one of the most beautiful garden trees. It is part of the Cercis genus in the subfamily Caesalpinioideae of Leguminosae. However, little genetic information of C. gigantea is available. In the present study, the C. gigantea transcriptome was subjected to RNA sequencing. This generated large expression datasets suitable for functional genomic analysis. Some 55.5 million high-quality clean reads were collected. These reads were then assembled into 44,660 unigenes and 77,024 unique transcripts. The unigenes, with an average of 998 bps in length, were annotated by comparing with all known proteins in four public databases, Kyoto Encyclopedia of Genes and Genomes (KEGG), the National Center for Biotechnology Information (NCBI) non-redundant protein database (NR), the Cluster of Orthologous Groups (COG), and Swiss-Prot using the NCBI blast procedure. Out of the 44,660 unigenes, 28,884 (64.7%) were annotated. In addition, an interaction network of unigenes in C. gigantea was also constructed. The current study provides the first screen of a transcriptome not only for C. gigantea but for any Caesalpinioideae plant as an important platform for researches of functional genomics, gene expression, and protein-protein interaction. © 2016 Bentham Science Publishers.


PubMed | Yangzhou Breeding Biological Agriculture Technology Co., Nanjing University and Shanghai University
Type: | Journal: Computational and mathematical methods in medicine | Year: 2015

Kidney renal clear cell carcinoma (KIRC) is one of the most common cancers with high mortality all over the world. Many studies have proposed that genes could be used to predict prognosis in KIRC. In this study, RNA expression data from next-generation sequencing and clinical information of 523 patients downloaded from The Cancer Genome Atlas (TCGA) dataset were analyzed in order to identify the relationship between gene expression level and the prognosis of KIRC patients. A set of five genes that significantly associated with overall survival time was identified and a model containing these five genes was constructed by Cox regression analysis. By Kaplan-Meier and Receiver Operating Characteristic (ROC) analysis, we confirmed that the model had good sensitivity and specificity. In summary, expression of the five-gene model is associated with the prognosis outcomes of KIRC patients, and it may have an important clinical significance.


PubMed | Yangzhou Breeding Biological Agriculture Technology Co., Nanjing University and Shanghai University
Type: | Journal: BioMed research international | Year: 2014

Sophora japonica Linn (Chinese Scholar Tree) is a shrub species belonging to the subfamily Faboideae of the pea family Fabaceae. In this study, RNA sequencing of S. japonica transcriptome was performed to produce large expression datasets for functional genomic analysis. Approximate 86.1 million high-quality clean reads were generated and assembled de novo into 143010 unique transcripts and 57614 unigenes. The average length of unigenes was 901 bps with an N50 of 545 bps. Four public databases, including the NCBI nonredundant protein (NR), Swiss-Prot, Kyoto Encyclopedia of Genes and Genomes (KEGG), and the Cluster of Orthologous Groups (COG), were used to annotate unigenes through NCBI BLAST procedure. A total of 27541 of 57614 unigenes (47.8%) were annotated for gene descriptions, conserved protein domains, or gene ontology. Moreover, an interaction network of unigenes in S. japonica was predicted based on known protein-protein interactions of putative orthologs of well-studied plant genomes. The transcriptome data of S. japonica reported here represents first genome-scale investigation of gene expressions in Faboideae plants. We expect that our study will provide a useful resource for further studies on gene expression, genomics, functional genomics, and protein-protein interaction in S. japonica.


PubMed | Yangzhou Breeding Biological Agriculture Technology Co., Fudan University, Nanjing University and Shanghai University
Type: Comparative Study | Journal: Planta | Year: 2016

High-throughput sequencing and degradome analysis for Cercis gigantea identified 194 known miRNAs and 23 novel miRNAs with 61 targets. The comparison results of highly conserved miRNAs and non-conserved miRNAs implied that C. gigantea miRNAs were subjected to the neutral evolution. MicroRNAs play a key role in post-transcriptionally regulating gene expression during plant growth, development and other various biological processes. Although numerous miRNAs have been identified and documented, to date, there are no reports on Cercis gigantea (C. gigantea) miRNAs. In this study, C. gigantea miRNAs and their target genes were investigated by extracting RNA from young roots, tender stems, young leaves, and flower buds of C. gigantea to establish a small RNA and a degradome library to further sequence. This study identified 194 known miRNAs belonging to 52 miRNA families and 23 novel miRNAs. Among these, 158 miRNAs from 27 miRNA families were highly conserved and existed in a plurality of plants. In addition, 60 different targets for 30 known families and one target for novel miRNA were identified by high-throughput sequencing and degradome analysis in C. gigantea. The comparison results revealed that highly conserved miRNAs have higher expression levels, more family members and more targets than non-conserved miRNAs, indicating that C. gigantea miRNAs were subjected to the neutral evolution. Meanwhile, these conserved miRNAs were also found to be involved in auxin signal transduction, regulation of transcription, and other developmental processes, which will help further understanding regulatory mechanisms of C. gigantea miRNAs.


PubMed | Yangzhou Breeding Biological Agriculture Technology Co., Nanjing University and Shanghai University
Type: | Journal: BioMed research international | Year: 2014

Gleditsia sinensis is a genus of deciduous tree in the family Caesalpinioideae, native to China, and is of great economic importance. However, despite its economic value, gene sequence information is strongly lacking. In the present study, transcriptome sequencing of G. sinensis was performed resulting in approximately 75.5 million clean reads assembled into 142155 unique transcripts generating 58583 unigenes. The average length of the unigenes was 900 bp, with an N50 of 549 bp. The obtained unigene sequences were then compared to four protein databases to include NCBI nonredundant protein (NRDB), Swiss-prot, Kyoto Encyclopedia of Genes and Genomes (KEGG), and the Cluster of Orthologous Groups (COG). Using BLAST procedure, 31385 unigenes (53.6%) were generated to have functional annotations. Additionally, sequence homologies between identified unigenes and genes of known species in a protein-protein interaction (PPI) network facilitated G. sinensis PPI network construction. Based on this network construction, new stress resistance genes (including cold, drought, and high salinity) were predicted. The present study is the first investigation of genome-wide gene expression in G. sinensis with the results providing a basis for future functional genomic studies relating to this species.

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