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Featured researches published by Qiming Deng.


Nature Communications | 2013

The evolution and pathogenic mechanisms of the rice sheath blight pathogen

Aiping Zheng; Runmao Lin; Danhua Zhang; Peigang Qin; Lizhi Xu; Peng Ai; Lei Ding; Yanran Wang; Yao Chen; Yao Liu; Zhigang Sun; Haitao Feng; Xiaoxing Liang; Rongtao Fu; Changqing Tang; Qiao Li; Jing Zhang; Zelin Xie; Qiming Deng; Shuangcheng Li; Shiquan Wang; Jun Zhu; Lingxia Wang; Huainian Liu; Ping Li

Rhizoctonia solani is a major fungal pathogen of rice (Oryza sativa L.) that causes great yield losses in all rice-growing regions of the world. Here we report the draft genome sequence of the rice sheath blight disease pathogen, R. solani AG1 IA, assembled using next-generation Illumina Genome Analyser sequencing technologies. The genome encodes a large and diverse set of secreted proteins, enzymes of primary and secondary metabolism, carbohydrate-active enzymes, and transporters, which probably reflect an exclusive necrotrophic lifestyle. We find few repetitive elements, a closer relationship to Agaricomycotina among Basidiomycetes, and expand protein domains and families. Among the 25 candidate pathogen effectors identified according to their functionality and evolution, we validate 3 that trigger crop defence responses; hence we reveal the exclusive expression patterns of the pathogenic determinants during host infection.


Theoretical and Applied Genetics | 2010

Effects of missing marker and segregation distortion on QTL mapping in F2 populations.

Luyan Zhang; Shiquan Wang; Huihui Li; Qiming Deng; Aiping Zheng; Shuangcheng Li; Ping Li; Zhonglai Li; Jiankang Wang

Missing marker and segregation distortion are commonly encountered in actual quantitative trait locus (QTL) mapping populations. Our objective in this study was to investigate the impact of the two factors on QTL mapping through computer simulations. Results indicate that detection power decreases with increasing levels of missing markers, and the false discovery rate increases. Missing markers have greater effects on smaller effect QTL and smaller size populations. The effect of missing markers can be quantified by a population with a reduced size similar to the marker missing rate. As for segregation distortion, if the distorted marker is not closely linked with any QTL, it will not have significant impact on QTL mapping; otherwise, the impact of the distortion will depend on the degree of dominance of QTL, frequencies of the three marker types, the linkage distance between the distorted marker and QTL, and the mapping population size. Sometimes, the distortion can result in a higher genetic variance than that of non-distortion, and therefore benefits the detection of linked QTL. A formula of the ratio of genetic variance explained by QTL under distortion and non-distortion was given in this study, so as to easily determine whether the segregation distortion marker (SDM) increases or decreases the QTL detection power. The effect of SDM decreases rapidly as its linkage relationship with QTL becomes looser. In general, distorted markers will not have a great effect on the position and effect estimations of QTL, and their effects can be ignored in large-size mapping populations.


Current Microbiology | 2011

Characterization of Vegetative Insecticidal Protein vip Genes of Bacillus thuringiensis from Sichuan Basin in China

Xiumei Yu; Aiping Zheng; Jun Zhu; Shiquan Wang; Lingxia Wang; Qiming Deng; Shuangcheng Li; Huainian Liu; Ping Li

Vegetative insecticidal proteins (Vip), the second generation of insecticides, are produced during the vegetative growth stage of Bacillus thuringiensis (Bt). To perform a systematic study of vip genes in Bt strains from different ecological regions of Sichuan Basin, 1,789 soil samples were collected from this basin, which is situated in the western region of China. The basin has a complicated geomorphology and contains mountains, forests, highlands, hursts, and plains. A total of 2,134 Bt strains have been screened from the 1,789 soil samples. According to the results, three vip-type genes were found in this basin, namely the vip1, vip2, and vip3-type genes. Strains containing vip3-type genes were the most abundant in our collection (67.4%), followed by vip2-type genes (14.6%) and vip1-type genes (8.1%). The three types of vip genes were distributed in most of the regions, but E Mei Mountain and the Ba Lang Mountains only contained vip3 genes in environments with high elevation, low temperature, insufficient oxygen, and abundant snow. Moreover, five novel vip3 genes were found, and these Vip proteins were toxic for Chilo suppressalis. All the results mentioned above suggest that Sichuan Basin is a rich resource for vip genes.


Plant Biotechnology Journal | 2016

The OsmiR396c‐OsGRF4‐OsGIF1 regulatory module determines grain size and yield in rice

Shuangcheng Li; Fengyan Gao; Kailong Xie; Xiuhong Zeng; Ye Cao; Jing Zeng; Zhongshan He; Yun Ren; Wenbo Li; Qiming Deng; Shiquan Wang; Aiping Zheng; Jun Zhu; Huainian Liu; Lingxia Wang; Ping Li

Summary Grain weight is the most important component of rice yield and is mainly determined by grain size, which is generally controlled by quantitative trait loci (QTLs). Although numerous QTLs that regulate grain weight have been identified, the genetic network that controls grain size remains unclear. Herein, we report the cloning and functional analysis of a dominant QTL, grain length and width 2 (GLW2), which positively regulates grain weight by simultaneously increasing grain length and width. The GLW2 locus encodes OsGRF4 (growth‐regulating factor 4) and is regulated by the microRNA miR396c in vivo. The mutation in OsGRF4 perturbs the OsmiR396 target regulation of OsGRF4, generating a larger grain size and enhanced grain yield. We also demonstrate that OsGIF1 (GRF‐interacting factors 1) directly interacts with OsGRF4, and increasing its expression improves grain size. Our results suggest that the miR396c‐OsGRF4‐OsGIF1 regulatory module plays an important role in grain size determination and holds implications for rice yield improvement.


Nature Communications | 2013

Natural variation in PTB1 regulates rice seed setting rate by controlling pollen tube growth

Shuangcheng Li; Wenbo Li; Bin Huang; Xuemei Cao; Xingyu Zhou; Shumei Ye; Chengbo Li; Fengyan Gao; Ting Zou; Kailong Xie; Yun Ren; Peng Ai; Yangfan Tang; Xuemei Li; Qiming Deng; Shiquan Wang; Aiping Zheng; Jun Zhu; Huainian Liu; Lingxia Wang; Ping Li

Grain number, panicle seed setting rate, panicle number and grain weight are the most important components of rice grain yield. To date, several genes related to grain weight, grain number and panicle number have been described in rice. However, no genes regulating the panicle seed setting rate have been functionally characterized. Here we show that the domestication-related POLLEN TUBE BLOCKED 1 (PTB1), a RING-type E3 ubiquitin ligase, positively regulates the rice panicle seed setting rate by promoting pollen tube growth. The natural variation in expression of PTB1 which is affected by the promoter haplotype and the environmental temperature, correlates with the rice panicle seed setting rate. Our results support the hypothesis that PTB1 is an important maternal sporophytic factor of pollen tube growth and a key modulator of the rice panicle seed setting rate. This finding has implications for the improvement of rice yield.


PLOS ONE | 2012

Identification of Genome-Wide Variations among Three Elite Restorer Lines for Hybrid-Rice

Shuangcheng Li; Shiquan Wang; Qiming Deng; Aiping Zheng; Jun Zhu; Huainian Liu; Lingxia Wang; Fengyan Gao; Ting Zou; Bin Huang; Xuemei Cao; Lizhi Xu; Chuang Yu; Peng Ai; Ping Li

Rice restorer lines play an important role in three-line hybrid rice production. Previous research based on molecular tagging has suggested that the restorer lines used widely today have narrow genetic backgrounds. However, patterns of genetic variation at a genome-wide scale in these restorer lines remain largely unknown. The present study performed re-sequencing and genome-wide variation analysis of three important representative restorer lines, namely, IR24, MH63, and SH527, using the Solexa sequencing technology. With the genomic sequence of the Indica cultivar 9311 as the reference, the following genetic features were identified: 267,383 single-nucleotide polymorphisms (SNPs), 52,847 insertion/deletion polymorphisms (InDels), and 3,286 structural variations (SVs) in the genome of IR24; 288,764 SNPs, 59,658 InDels, and 3,226 SVs in MH63; and 259,862 SNPs, 55,500 InDels, and 3,127 SVs in SH527. Variations between samples were also determined by comparative analysis of authentic collections of SNPs, InDels, and SVs, and were functionally annotated. Furthermore, variations in several important genes were also surveyed by alignment analysis in these lines. Our results suggest that genetic variations among these lines, although far lower than those reported in the landrace population, are greater than expected, indicating a complicated genetic basis for the phenotypic diversity of the restorer lines. Identification of genome-wide variation and pattern analysis among the restorer lines will facilitate future genetic studies and the molecular improvement of hybrid rice.


Journal of Bacteriology | 2012

Complete Genome Sequence of Bacillus thuringiensis Serovar Sichuansis Strain MC28

Peng Guan; Peng Ai; Xiaojuan Dai; Jing Zhang; Lizhi Xu; Jun Zhu; Qiao Li; Qiming Deng; Shuangcheng Li; Shiquan Wang; Huannian Liu; Lingxia Wang; Ping Li; Aiping Zheng

Bacillus thuringiensis is an important microbial insecticide used in the control of agricultural pests. Here we report the finished, annotated genome sequence of Bacillus thuringiensis serovar Sichuansis strain MC28, which can form parasporal crystals consisting of Cry4Cc1, Cry30Fa1, Cry53Ab1, Cry54Aa1, Cry54Ab1, Cry68Aa1, Cry69Aa1, Cry69Aa2, Cry70Ba1, Cyt1Da1, and Cyt2Aa3. It is also highly toxic to lepidopterous and dipterous insects.


Fems Microbiology Letters | 2011

Rapid detection of vip1‐type genes from Bacillus cereus and characterization of a novel vip binary toxin gene

Xiumei Yu; Tao Liu; Xiaoxing Liang; Changqing Tang; Jun Zhu; Shiquan Wang; Shuangcheng Li; Qiming Deng; Linxia Wang; Aiping Zheng; Ping Li

A PCR-restriction fragment length polymorphism (PCR-RFLP) method for identifying vegetative insecticidal protein (vip) 1-type genes from Bacillus cereus was developed by designing specific primers based on the conserved regions of the genes to amplify vip1-type gene fragments. PCR products were digested with endonuclease AciI, and four known vip1-type genes were identified. Vip1Ac and vip1Aa-type genes appeared in 17 of 26 B. cereus strains. A novel vip1-type gene, vip1Ac1, was identified from B. cereus strain HL12. The vip1Ac1 and vip2Ae3 genes were co-expressed in Escherichia coli strain BL21 by vector pCOLADuet-1. The binary toxin showed activity only against Aphis gossypii (Homoptera), but not for Coleptera (Tenebrio molitor, Holotrichia oblita), Lepidoptera (Spodoptera exigua, Helicoverpa armigera, and Chilo suppressalis), Diptera (Culex quinquefasciatus). The LC(50) of this binary toxin for A. gossypii is 87.5 (34.2-145.3) ng mL(-1) . This is probably only the second report that Vip1 and Vip2 binary toxin shows toxicity against homopteran pests. The PCR-RFLP method developed could be very useful for identifying novel Vip1-Vip2-type binary toxins, and the novel binary toxins, Vip1Ac1 and Vip2Ae3, identified in this study may have applications in biological control of insects, thus avoiding potential problems of resistance.


Annals of Microbiology | 2011

16S rRNA gene sequence analysis of halophilic and halotolerant bacteria isolated from a hypersaline pond in Sichuan, China

Jie Tang; Aiping Zheng; Eden S. P. Bromfield; Jun Zhu; Shuangcheng Li; Shiquan Wang; Qiming Deng; Ping Li

One hundred and twenty bacterial isolates were obtained from a hypersaline pond (c. 22% salinity) in Sichuan, China. Bacteria were isolated from hypersaline water, sediment and soil samples using three culture media and an incubation temperature of 37°C. Of these isolates, 47 were selected and examined by phylogenetic analysis of 16S rRNA gene sequences and by tests of salt tolerance. The phylogenetic analysis placed the 47 bacterial isolates either in the phylum Firmicutes or in the class Gammaproteobacteria and showed that they were affiliated with the genera Salimicrobium, Halalkalibacillus, Virgibacillus, Alkalibacillus, Marinococcus, Halobacillus, Halomonas, Idiomarina, Chromohalobacter and Halovibrio. All tested isolates were either halophilic or halotolerant and several were capable of growth in the presence of 30% (w/v) NaCl.


Rice Science | 2007

Genetic Polymorphism of Wx Gene and Its Correlation with Main Grain Quality Characteristics in Rice

Ying-xiu Wan; Qiming Deng; Shiquan Wang; Ming-wei Liu; Huaqiang Zhou; Li Ping

The allelic variation of the Wx gene in 50 non-glutinous rice varieties (lines) was analyzed by using the microsatellite marker RM190 (for (CT)n simple sequence repeat (SSR)) and cleaved amplified polymorphic sequence(CAPS) marker 484/W2R-ACCⅠ(for G/T single nucleotide polymorphism (SNP)). Six homozygous (CT)n types, namely (CT)20, (CT)19, (CT)18, (CT)17, (CT)16, (CT)14, (CT)11 and (CT)10, and a heterozygous genotype (CT)11/(CT)18 were detected for RM190, of which (CT)11 and (CT)18 were predominant. Two homozygous Wx genotypes (G/G and T/T) and one heterozygous (G/T) were detected using 484/W2R-ACC . Most of the materials with a RM190 of (CT) Ⅰ 11 were G/G for SNP of 484/W2R-ACC I, while T/T for SNP was predominantly appeared in materials with (CT)18. The materials tested could be grouped into 10 categories using the two markers together. Results indicated that 59.3% variance of amylose content was attributed to the polymorphism of Wx gene revealed by RM190, while 56.1% and 24.6% of the variances in amylose content and gel consistency were respectively to the polymorphism of Wx gene revealed by 484/W2R-ACC I. Furthermore, with both SSR and CAPS markers, 72.4% of the variance in amylose content could be explained. In addition, the application prospects of the two markers in breeding were also discussed.

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Shiquan Wang

Sichuan Agricultural University

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Aiping Zheng

Sichuan Agricultural University

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Shuangcheng Li

Sichuan Agricultural University

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Lingxia Wang

Sichuan Agricultural University

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Huainian Liu

Sichuan Agricultural University

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Ping Li

Sichuan Agricultural University

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Jun Zhu

Sichuan Agricultural University

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Yueyang Liang

Sichuan Agricultural University

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Furong Tan

Sichuan Agricultural University

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Qiao Li

Sichuan Agricultural University

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