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Featured researches published by Cheng Qin.


BMC Genomics | 2014

Identification of miRNAs and their target genes in developing maize ears by combined small RNA and degradome sequencing

Hongjun Liu; Cheng Qin; Zhe Chen; Tao Zuo; Xuerong Yang; Huangkai Zhou; Meng Xu; Shiliang Cao; Yaou Shen; Haijian Lin; Xiujing He; Yinchao Zhang; Lujiang Li; Haiping Ding; Thomas Lübberstedt; Zhiming Zhang; Guangtang Pan

BackgroundIn plants, microRNAs (miRNAs) are endogenous ~22 nt RNAs that play important regulatory roles in many aspects of plant biology, including metabolism, hormone response, epigenetic control of transposable elements, and stress response. Extensive studies of miRNAs have been performed in model plants such as rice and Arabidopsis thaliana. In maize, most miRNAs and their target genes were analyzed and identified by clearly different treatments, such as response to low nitrate, salt and drought stress. However, little is known about miRNAs involved in maize ear development. The objective of this study is to identify conserved and novel miRNAs and their target genes by combined small RNA and degradome sequencing at four inflorescence developmental stages.ResultsWe used deep-sequencing, miRNA microarray assays and computational methods to identify, profile, and describe conserved and non-conserved miRNAs at four ear developmental stages, which resulted in identification of 22 conserved and 21-maize-specific miRNA families together with their corresponding miRNA*. Comparison of miRNA expression in these developmental stages revealed 18 differentially expressed miRNA families. Finally, a total of 141 genes (251 transcripts) targeted by 102 small RNAs including 98 miRNAs and 4 ta-siRNAs were identified by genomic-scale high-throughput sequencing of miRNA cleaved mRNAs. Moreover, the differentially expressed miRNAs-mediated pathways that regulate the development of ears were discussed.ConclusionsThis study confirmed 22 conserved miRNA families and discovered 26 novel miRNAs in maize. Moreover, we identified 141 target genes of known and new miRNAs and ta-siRNAs. Of these, 72 genes (117 transcripts) targeted by 62 differentially expressed miRNAs may attribute to the development of maize ears. Identification and characterization of these important classes of regulatory genes in maize may improve our understanding of molecular mechanisms controlling ear development.


International Journal of Molecular Sciences | 2014

The Dynamics of DNA Methylation in Maize Roots under Pb Stress

Haiping Ding; Jian Gao; Cheng Qin; Haixia Ma; Hong Huang; Pan Song; Xirong Luo; Haijian Lin; Ya’ou Shen; Guangtang Pan; Zhiming Zhang

Plants adapt to adverse conditions through a series of physiological, cellular, and molecular processes, culminating in stress tolerance. However, little is known about the associated regulatory mechanisms at the epigenetic level in maize under lead (Pb) stress. Therefore, in this study, we aimed to compare DNA methylation profiles during the dynamic development of maize roots following Pb treatment to identify candidate genes involved in the response to Pb stress. Methylated DNA immunoprecipitation-sequencing (MeDIP-seq) was used to investigate the genome-wide DNA methylation patterns in maize roots under normal condition (A1) and 3 mM Pb(NO3)2 stress for 12 h (K2), 24 h (K3) and 48 h (K4). The results showed that the average methylation density was the highest in CpG islands (CGIs), followed by the intergenic regions. Within the gene body, the methylation density of the introns was higher than those of the UTRs and exons. In total, 3857 methylated genes were found in 4 tested samples, including 1805 differentially methylated genes for K2 versus A1, 1508 for K3 versus A1, and 1660 for K4 versus A1. Further analysis showed that 140 genes exhibited altered DNA methylation in all three comparisons, including some well-known stress-responsive transcription factors and proteins, such as MYB, AP2/ERF, bZIP, serine-threonine/tyrosine-proteins, pentatricopeptide repeat proteins, RING zinc finger proteins, F-box proteins, leucine-rich repeat proteins and tetratricopeptide repeat proteins. This study revealed the genome-scale DNA methylation patterns of maize roots in response to Pb exposure and identified candidate genes that potentially regulate root dynamic development under Pb stress at the methylation level.


International Journal of Molecular Sciences | 2014

Heterosis in Early Maize Ear Inflorescence Development: A Genome-Wide Transcription Analysis for Two Maize Inbred Lines and Their Hybrid

Haiping Ding; Cheng Qin; Xirong Luo; Lujiang Li; Zhe Chen; Hongjun Liu; Jian Gao; Haijian Lin; Yaou Shen; Maojun Zhao; Thomas Lübberstedt; Zhiming Zhang; Guangtang Pan

Heterosis, or hybrid vigor, contributes to superior agronomic performance of hybrids compared to their inbred parents. Despite its importance, little is known about the genetic and molecular basis of heterosis. Early maize ear inflorescences formation affects grain yield, and are thus an excellent model for molecular mechanisms involved in heterosis. To determine the parental contributions and their regulation during maize ear-development-genesis, we analyzed genome-wide digital gene expression profiles in two maize elite inbred lines (B73 and Mo17) and their F1 hybrid using deep sequencing technology. Our analysis revealed 17,128 genes expressed in these three genotypes and 22,789 genes expressed collectively in the present study. Approximately 38% of the genes were differentially expressed in early maize ear inflorescences from heterotic cross, including many transcription factor genes and some presence/absence variations (PAVs) genes, and exhibited multiple modes of gene action. These different genes showing differential expression patterns were mainly enriched in five cellular component categories (organelle, cell, cell part, organelle part and macromolecular complex), five molecular function categories (structural molecule activity, binding, transporter activity, nucleic acid binding transcription factor activity and catalytic activity), and eight biological process categories (cellular process, metabolic process, biological regulation, regulation of biological process, establishment of localization, cellular component organization or biogenesis, response to stimulus and localization). Additionally, a significant number of genes were expressed in only one inbred line or absent in both inbred lines. Comparison of the differences of modes of gene action between previous studies and the present study revealed only a small number of different genes had the same modes of gene action in both maize seedlings and ear inflorescences. This might be an indication that in different tissues or developmental stages, different global expression patterns prevail, which might nevertheless be related to heterosis. Our results support the hypotheses that multiple molecular mechanisms (dominance and overdominance modes) contribute to heterosis.


International Journal of Molecular Sciences | 2015

Genome-Wide Identification and Analysis of Drought-Responsive Genes and MicroRNAs in Tobacco

Fuqiang Yin; Cheng Qin; Jian Gao; Ming Liu; Xirong Luo; Wenyou Zhang; Hongjun Liu; Xinhui Liao; Yaou Shen; Likai Mao; Zhiming Zhang; Haijian Lin; Thomas Lübberstedt; Guangtang Pan

Drought stress response is a complex trait regulated at transcriptional and post-transcriptional levels in tobacco. Since the 1990s, many studies have shown that miRNAs act in many ways to regulate target expression in plant growth, development and stress response. The recent draft genome sequence of Nicotiana benthamiana has provided a framework for Digital Gene Expression (DGE) and small RNA sequencing to understand patterns of transcription in the context of plant response to environmental stress. We sequenced and analyzed three Digital Gene Expression (DGE) libraries from roots of normal and drought-stressed tobacco plants, and four small RNA populations from roots, stems and leaves of control or drought-treated tobacco plants, respectively. We identified 276 candidate drought responsive genes (DRGs) with sequence similarities to 64 known DRGs from other model plant crops, 82 were transcription factors (TFs) including WRKY, NAC, ERF and bZIP families. Of these tobacco DRGs, 54 differentially expressed DRGs included 21 TFs, which belonged to 4 TF families such as NAC (6), MYB (4), ERF (10), and bZIP (1). Additionally, we confirmed expression of 39 known miRNA families (122 members) and five conserved miRNA families, which showed differential regulation under drought stress. Targets of miRNAs were further surveyed based on a recently published study, of which ten targets were DRGs. An integrated gene regulatory network is proposed for the molecular mechanisms of tobacco root response to drought stress using differentially expressed DRGs, the changed expression profiles of miRNAs and their target transcripts. This network analysis serves as a reference for future studies on tobacco response stresses such as drought, cold and heavy metals.


Plant Biology | 2015

Identification and characterisation of tobacco microRNA transcriptome using high‐throughput sequencing

Jian Gao; F. Yin; M. Liu; M. Luo; Cheng Qin; A. Yang; S. Yang; Zhiming Zhang; Yaou Shen; Haijian Lin; Guangtang Pan

MicroRNAs (miRNAs) are post-transcriptional regulators that are involved in numerous biological processes in plants. In this study, we investigate miRNAs in Honghua Dajinyuan, an agronomically important species of tobacco in China. Here, we report a comprehensive analysis of miRNA expression profiles in the leaf, stem and root using a high-throughput sequencing approach. A total of 165 miRNAs, representing 55 conserved families, and 50 novel miRNAs, representing 19 families, were identified in three libraries. In addition, 12 miRNAs were randomly selected from a differentially expressed conserved miRNA family in three libraries with expression alterations and subjected to qRT-PCR validation. Of these, the expression level of nta-miR167d is highly enriched in the leaf tissue. In addition, the expression level of nta-miR319a is prominently enriched in the stem, while nta-miR160c is highly enriched in the root. Moreover, the target prediction showed that most of the targets coded for transcription factors that are involved in cellular and metabolic processes. GO analysis showed that most of the targets were involved in organelle function, served binding functions, and take part in cellular and metabolic processes. This study helps shed new light on understanding the role of miRNAs in different parts of the tobacco plant and adds a significant number of novel miRNAs to the tobacco miRNA transcriptome.


Genomics | 2015

Genome-wide comparative analysis of digital gene expression tag profiles during maize ear development

Hongjun Liu; Xuerong Yang; Xinhui Liao; Tao Zuo; Cheng Qin; Shiliang Cao; Ling Dong; Huangkai Zhou; Yongzhong Zhang; Sisi Liu; Yaou Shen; Haijian Lin; Thomas Lübberstedt; Zhiming Zhang; Guangtang Pan

The present study profiled and analyzed gene expression of the maize ear at four key developmental stages. Based on genome-wide profile analysis, we detected differential mRNA of maize genes. Some of the differentially expressed genes (DEGs) were predicted to be potential candidates of maize ear development. Several well-known genes were found with reported mutant analyses, such as, compact plant2 (ct2), zea AGAMOUS homolog1 (zag1), bearded ear (bde), and silky1 (si1). MicroRNAs such as microRNA156 were predicted to target genes involved in maize ear development. Antisense transcripts were widespread throughout all the four stages, and are suspected to play important roles in maize ear development. Thus, identification and characterization of important genes and regulators at all the four developmental stages will contribute to an improved understanding of the molecular mechanisms responsible for maize ear development.


Genetics & Epigenetics | 2010

A High-Through Technique to Measure DNA Methylation

Zhiming Zhang; Jian Gao; Cheng Qin; Li Liu; Haijian Lin; Yaou Shen; Shibin Gao; Maojun Zhao; Haiping Ding; Guangtang Pan

MethyLight is a sodium-bisulfite-dependent, quantitative, fluorescence-based, real-time PCR strategy that is used to detect and quantify DNA methylation in genomic DNA. High-throughput MethyLight allows the rapid and sensitive detection of very low frequencies of hypermethylated alleles in populations of alternated individuals. The high sensitivity and specificity of MethyLight can be applied not only to make it uniquely suited disease clinical but also quantitatively assessed of these low-frequency methylation events. Owing to its full of advantages of simple procedure, high efficiency and high sensitivity, MethyLight provides a powerful approach for clinical examination, Gene expression analysis, SNP analysis and allele analysis. Coupled with other techniques, MethyLight can be used immediately in identifying allelic alterations in genes exhibiting expressions correlating with phenotypes, Locating an allelic series of induced point mutations in genes of interest. The development of this technique should considerably enhance our ability to rapidly and accurately generate epigenetic profiles of samples.


Central European Journal of Biology | 2015

Analysis of global gene expression profilesin tobacco roots under drought stress

Fuqiang Yin; Ming Liu; Jian Gao; Wenyou Zhang; Cheng Qin; Aiguo Yang; Chenggang Luo; Haobao Liu; Yaou Shen; Haijian Lin; Zhiming Zhang; Guangtang Pan

Abstract Tobacco (Nicotiana tabacum L.) is an economically important and relatively drought-tolerant crop grown around the world. However, the molecular regulatory mechanisms involved in tobacco root development in response to drought stress are not wellknown. To gain insight into the transcriptome dynamics associated with drought resistance, genome-wide gene expression profiling of roots from a tobacco cultivar (Honghua Dajinyuan, a major flue-cured tobacco cultivar in Southwest China) under 20% PEG6000 treatment for 0, 6 h and 48 h were conducted using Solexa sequencing (Illumina Inc., San Diego, CA, USA). Over five million tags were generated from tobacco roots, including 229,344, 221,248 and 242,065 clean tags in three libraries, respectively. The most differentially expressed tags, with either log2FC > 2.0 for up-regulated genes or log2FC < -2.0 for down regulated genes (p < 0.001), were analyzed further. In comparison to the control, 1476 up-regulated and 1574 down-regulated differentially expressed genes (DEGs) were identified, except for unknown transcripts, which were grouped into 43 functional categories involved in seven significant pathways. The most enriched categories were those that were populated by transcripts involved in metabolism, signal transduction and cellular transport. Many genes and/or biological pathways were found to be common among the three libraries, for example, genes participating in transport, stress response, auxin transport and signaling, etc. Next, the expression patterns of 12 genes were assessed with quantitative real-time PCR, the results of which agreed with the Solexa analysis. In conclusion, we revealed complex changes in the transcriptome during tobacco root development related to drought resistance, and provided a comprehensive set of data that is essential to understanding the molecular regulatory mechanisms involved. These data may prove valuable in future studies of the molecular mechanisms regulating root development in response to drought stress in tobacco and other plants.


BMC Genomics | 2015

An ultra-high-density map as a community resource for discerning the genetic basis of quantitative traits in maize

Hongjun Liu; Yongchao Niu; Pedro J. Gonzalez-Portilla; Huangkai Zhou; Liya Wang; Tao Zuo; Cheng Qin; Shuaishuai Tai; Constantin Jansen; Yaou Shen; Haijian Lin; Michael Lee; Doreen Ware; Zhiming Zhang; Thomas Lübberstedt; Guangtang Pan


Functional & Integrative Genomics | 2014

Genome-wide analysis of Water-stress-responsive microRNA expression profile in tobacco roots

Fuqiang Yin; Jian Gao; Ming Liu; Cheng Qin; Wenyou Zhang; Aiguo Yang; Mingzhong Xia; Zhiming Zhang; Yaou Shen; Haijian Lin; Chenggang Luo; Guangtang Pan

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Guangtang Pan

Sichuan Agricultural University

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Haijian Lin

Sichuan Agricultural University

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Zhiming Zhang

Sichuan Agricultural University

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Yaou Shen

Sichuan Agricultural University

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Jian Gao

Sichuan Agricultural University

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Haiping Ding

Sichuan Agricultural University

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Hongjun Liu

Sichuan Agricultural University

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Fuqiang Yin

Sichuan Agricultural University

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Maojun Zhao

Sichuan Agricultural University

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