Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Deyun Zhang is active.

Publication


Featured researches published by Deyun Zhang.


PLOS ONE | 2015

High-Density Genetic Linkage Map Construction and QTL Mapping of Grain Shape and Size in the Wheat Population Yanda1817 × Beinong6

Qiuhong Wu; Y. Chen; Shenghui Zhou; Lin Fu; Jiao-Jiao Chen; Yao Xiao; Dong Zhang; Shuhong Ouyang; Xiaojie Zhao; Yu Cui; Deyun Zhang; Yong Liang; Zhenzhong Wang; Jingzhong Xie; Jinxia Qin; Guoxin Wang; Delin Li; Yinlian Huang; Meihua Yu; Ping Lu; Li-li Wang; Ling Wang; Hao Wang; Chen Dang; Jie Li; Yan Zhang; Huiru Peng; Cheng-Guo Yuan; Mingshan You; Qixin Sun

High-density genetic linkage maps are necessary for precisely mapping quantitative trait loci (QTLs) controlling grain shape and size in wheat. By applying the Infinium iSelect 9K SNP assay, we have constructed a high-density genetic linkage map with 269 F 8 recombinant inbred lines (RILs) developed between a Chinese cornerstone wheat breeding parental line Yanda1817 and a high-yielding line Beinong6. The map contains 2431 SNPs and 128 SSR & EST-SSR markers in a total coverage of 3213.2 cM with an average interval of 1.26 cM per marker. Eighty-eight QTLs for thousand-grain weight (TGW), grain length (GL), grain width (GW) and grain thickness (GT) were detected in nine ecological environments (Beijing, Shijiazhuang and Kaifeng) during five years between 2010–2014 by inclusive composite interval mapping (ICIM) (LOD≥2.5). Among which, 17 QTLs for TGW were mapped on chromosomes 1A, 1B, 2A, 2B, 3A, 3B, 3D, 4A, 4D, 5A, 5B and 6B with phenotypic variations ranging from 2.62% to 12.08%. Four stable QTLs for TGW could be detected in five and seven environments, respectively. Thirty-two QTLs for GL were mapped on chromosomes 1B, 1D, 2A, 2B, 2D, 3B, 3D, 4A, 4B, 4D, 5A, 5B, 6B, 7A and 7B, with phenotypic variations ranging from 2.62% to 44.39%. QGl.cau-2A.2 can be detected in all the environments with the largest phenotypic variations, indicating that it is a major and stable QTL. For GW, 12 QTLs were identified with phenotypic variations range from 3.69% to 12.30%. We found 27 QTLs for GT with phenotypic variations ranged from 2.55% to 36.42%. In particular, QTL QGt.cau-5A.1 with phenotypic variations of 6.82–23.59% was detected in all the nine environments. Moreover, pleiotropic effects were detected for several QTL loci responsible for grain shape and size that could serve as target regions for fine mapping and marker assisted selection in wheat breeding programs.


Journal of Integrative Agriculture | 2015

Comparative genetic mapping revealed powdery mildew resistance gene MlWE4 derived from wild emmer is located in same genomic region of Pm36 and Ml3D232 on chromosome 5BL

Dong Zhang; Shuhong Ouyang; Li-li Wang; Yu Cui; Qiu-hong Wu; Yong Liang; Zhenzhong Wang; Jingzhong Xie; Deyun Zhang; Yong Wang; Y. Chen; Zhiyong Liu

Powdery mildew, caused by Blumeria graminis f. sp. tritici, is one of the most devastating wheat diseases. Wild emmer wheat (Triticum turgidum ssp. dicoccoides) is a promising source of disease resistance for wheat. A powdery mildew resistance gene conferring resistance to B. graminis f. sp. tritici isolate E09, originating from wild emmer wheat, has been transferred into the hexaploid wheat line WE4 through crossing and backcrossing. Genetic analyses indicated that the powdery mildew resistance was controlled by a single dominant gene, temporarily designated MlWE4. By mean of comparative genomics and bulked segregant analysis, a genetic linkage map of MlWE4 was constructed, and MlWE4 was mapped on the distal region of chromosome arm 5BL. Comparative genetic linkage maps showed that genes MlWE4, Pm36 and Ml3D232 were co-segregated with markers XBD37670 and XBD37680, indicating they are likely the same gene or alleles in the same locus. The co-segregated markers provide a starting point for chromosome landing and map-based cloning of MlWE4, Pm36 and Ml3D232.


Journal of Integrative Agriculture | 2017

QTL mapping revealed TaVp-1A conferred pre-harvest sprouting resistance in wheat population Yanda 1817×Beinong 6

Shenghui Zhou; Lin Fu; Qiu-hong Wu; Jiao-Jiao Chen; Y. Chen; Jingzhong Xie; Zhenzhong Wang; Guoxin Wang; Deyun Zhang; Yong Liang; Yan Zhang; Mingshan You; Rong-qi Liang; Jun Han; Zhiyong Liu

Abstract Pre-harvest sprouting (PHS) occurs frequently in most of the wheat cultivation area worldwide, which severely reduces yield and end-use quality, resulting in substantial economic loss. In this study, quantitative trait loci (QTL) for PHS resistance were mapped using an available high-density single nucleotide polymorphism (SNP) and simple sequence repeat (SSR) genetic linkage map developed from a 269 recombinant inbred lines (RILs) population of Yanda 1817×Beinong 6. Using phenotypic data on two locations (Beijing and Shijiazhuang, China) in two years (2012 and 2013 harvesting seasons), five QTLs, designated as QPhs.cau-3A.1, QPhs.cau-3A.2, QPhs.cau-5B, QPhs.cau-4A, and QPhs.cau-6A, for PHS (GP) were detected by inclusive composite interval mapping (ICIM) (LOD≥2.5). Two major QTLs, QPhs.cau-3A.2 and QPhs.cau-5B, were mapped on 3AL and 5BS chromosome arms, explaining 6.29–21.65% and 4.36–5.94% of the phenotypic variance, respectively. Precise mapping and comparative genomic analysis revealed that the TaVp-1A flanking region on 3AL is responsible for QPhs.cau-3A.2. SNP markers flanking QPhs.cau-3A.2 genomic region were developed and could be used for introgression of PHS tolerance into high yielding wheat varieties through marker-assisted selection (MAS).


Archives of Animal Nutrition | 2002

Optimum ratio of histidine in the piglet ideal protein model and its effects on body metabolism. I. Basal diet formulation based on digestible amino acids according to the ideal protein model for 10 to 20 kg piglets.

Jinpeng Zhang; D. F. Li; Limin Gong; Yi Zhang; Deyun Zhang

A 4 ‐ 4 Latin square design was used to determine ileal apparent digestibility of amino acids (AAs) in corn, soybean meal, feather meal and dried whey in young pigs. The data were then to be used in formulating a basal diet for studies on AA metabolism in young pigs. Eight castrates T-cannulated at terminal ileum (average initial body weight 12.5 ± 0.62kg) were divided into 4 groups on the basis of body weight and transferred to individual metabolism crates. They were then fed four experimental diets containing the four feedstuffs to be tested (corn, soybean meal, feather meal and dried whey). The trial lasted 20 days, which included 4 five-day periods for ileal digesta collection. It was found that the digestibility of the AAs was similar to that reported in literature. Based on the findings a basal diet for this research was formulated according to an ideal protein model for the 10 to 20kg piglet, on the basis of digestible AAs and containing 14.13MJ/kg digestible energy, 18.22% crude protein, 1.04% digestible lysine and 0.23% digestible histidine.


Journal of Integrative Agriculture | 2017

Fine mapping of powdery mildew resistance gene PmTm4 in wheat using comparative genomics

Jingzhong Xie; Li-li Wang; Yong Wang; Huaizhi Zhang; Shenghui Zhou; Qiu-hong Wu; Y. Chen; Zhenzhong Wang; Guoxin Wang; Deyun Zhang; Yan Zhang; Tie-zhu Hu; Zhiyong Liu

Abstract Powdery mildew, caused by Blumeria graminis f. sp. tritici, is one of the most severe wheat diseases. Mining powdery mildew resistance genes in wheat cultivars and their appliance in breeding program is a promising way to control this disease. Genetic analysis revealed that a single dominant resistance gene named PmTm4 originated from Chinese wheat line Tangmai 4 confers resistance to prevailing isolates of B. graminis f. sp. tritici isolate E09. Detailed comparative genomics analyses helped to develop closely linked markers to PmTm4 and a fine genetic map was constructed using large F2 population, in which PmTm4 was located into a 0.66-cM genetic interval. The orthologous subgenome region of PmTm4 in Aegilops tauschii was identified, and two resistance gene analogs (RGA) were characterized from the corresponding sequence scaffolds of Ae. tauschii draft assembly. The closely linked markers and identified Ae. tauschii orthologs in the mapping interval provide an entry point for chromosome landing and map-based cloning of PmTm4.


Theoretical and Applied Genetics | 2015

Genetic and physical mapping of powdery mildew resistance gene MlHLT in Chinese wheat landrace Hulutou

Zhenzhong Wang; Hanwen Li; Deyun Zhang; Li Guo; Jiao-Jiao Chen; Y. Chen; Qiuhong Wu; Jingzhong Xie; Yan Zhang; Qixin Sun; Jan Dvorak; Ming-Cheng Luo; Zhiyong Liu


Theoretical and Applied Genetics | 2014

Comparative genetic mapping and genomic region collinearity analysis of the powdery mildew resistance gene Pm41

Zhenzhong Wang; Yu Cui; Y. Chen; Deyun Zhang; Yong Liang; Dong Zhang; Qiuhong Wu; Jingzhong Xie; Shuhong Ouyang; Delin Li; Yinlian Huang; Ping Lu; Guoxin Wang; Meihua Yu; Shenghui Zhou; Qixin Sun; Zhiyong Liu


Theoretical and Applied Genetics | 2015

Comparative fine mapping of the Wax 1 ( W1 ) locus in hexaploid wheat

Ping Lu; Jinxia Qin; Guoxin Wang; Li-li Wang; Zhenzhong Wang; Qiuhong Wu; Jingzhong Xie; Yong Liang; Yong Wang; Deyun Zhang; Qixin Sun; Zhiyong Liu


Theoretical and Applied Genetics | 2016

Fine genetic mapping of spot blotch resistance gene Sb3 in wheat (Triticum aestivum)

Ping Lu; Yong Liang; Delin Li; Zhengzhong Wang; Wenbin Li; Guoxin Wang; Yong Wang; Shenghui Zhou; Qiuhong Wu; Jingzhong Xie; Deyun Zhang; Y. Chen; Miaomiao Li; Yan Zhang; Qixin Sun; Chenggui Han; Zhiyong Liu


Theoretical and Applied Genetics | 2017

Mapping stripe rust resistance gene YrZH22 in Chinese wheat cultivar Zhoumai 22 by bulked segregant RNA-Seq (BSR-Seq) and comparative genomics analyses

Yong Wang; Jingzhong Xie; Huaizhi Zhang; Bingmin Guo; Shunzong Ning; Y. Chen; Ping Lu; Qiuhong Wu; Miaomiao Li; Deyun Zhang; Guanghao Guo; Yan Zhang; Dengcai Liu; Shaokui Zou; Jianwei Tang; Hong Zhao; Xicheng Wang; Jun Li; Wuyun Yang; Tingjie Cao; Guihong Yin; Zhiyong Liu

Collaboration


Dive into the Deyun Zhang's collaboration.

Top Co-Authors

Avatar

Jingzhong Xie

China Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Y. Chen

China Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Zhiyong Liu

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Yan Zhang

China Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Ping Lu

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Qiuhong Wu

China Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Zhenzhong Wang

China Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Guoxin Wang

China Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Yong Liang

China Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Qixin Sun

China Agricultural University

View shared research outputs
Researchain Logo
Decentralizing Knowledge