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Xiongming Du
Researcher at Zhengzhou University
Publications - 117
Citations - 3974
Xiongming Du is an academic researcher from Zhengzhou University. The author has contributed to research in topics: Gossypium & Biology. The author has an hindex of 23, co-authored 89 publications receiving 2608 citations. Previous affiliations of Xiongming Du include Chinese Academy of Sciences & Civil Aviation Authority of Singapore.
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Journal ArticleDOI
Genome sequence of cultivated Upland cotton ( Gossypium hirsutum TM-1) provides insights into genome evolution
Fuguang Li,Guangyi Fan,Cairui Lu,Guanghui Xiao,Changsong Zou,Russell J. Kohel,Zhiying Ma,Haihong Shang,Xiongfeng Ma,Jianyong Wu,Xinming Liang,Gai Huang,Richard G. Percy,Kun Liu,Weihua Yang,Wenbin Chen,Xiongming Du,Chengcheng Shi,Youlu Yuan,Wuwei Ye,Xin Liu,Xueyan Zhang,Weiqing Liu,Hengling Wei,Shoujun Wei,Guodong Huang,Xianlong Zhang,Shuijin Zhu,He Zhang,Fengming Sun,Xingfen Wang,Jie Liang,Jiahao Wang,Qiang He,Leihuan Huang,Jun Wang,Jinjie Cui,Guoli Song,Kunbo Wang,Xun Xu,John Z. Yu,Yu-Xian Zhu,Shuxun Yu +42 more
TL;DR: A draft genome using 181-fold paired-end sequences assisted by fivefold BAC-to-BAC sequences and a high-resolution genetic map is produced for G. hirsutum, revealing conserved gene order and concerted evolution of different regulatory mechanisms for Cellulose synthase and 1-Aminocyclopropane-1-carboxylic acid oxidase1 and 3 may be important for enhanced fiber production.
Journal ArticleDOI
Resequencing of 243 diploid cotton accessions based on an updated A genome identifies the genetic basis of key agronomic traits.
Xiongming Du,Gai Huang,Gai Huang,Shoupu He,Zhaoen Yang,Gaofei Sun,Xiongfeng Ma,Nan Li,Xueyan Zhang,Junling Sun,Min Liu,Yinhua Jia,Zhaoe Pan,Wenfang Gong,Zhaohui Liu,Zhu Heqin,Lei Ma,Fuyan Liu,Daigang Yang,Fan Wang,Wei Fan,Qian Gong,Zhen Peng,Liru Wang,Xiaoyang Wang,Shuangjiao Xu,Haihong Shang,Cairui Lu,Hongkun Zheng,Sanwen Huang,Tao Lin,Yu-Xian Zhu,Yu-Xian Zhu,Fuguang Li +33 more
TL;DR: The authors report an improved genome assembly of G. arboretum and resequencing of 243 diploid cotton accessions, which represents a major step toward understanding the evolution of the A genome of cotton.
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Resequencing a core collection of upland cotton identifies genomic variation and loci influencing fiber quality and yield.
Zhiying Ma,Shoupu He,Xingfen Wang,Junling Sun,Yan Zhang,Guiyin Zhang,Liqiang Wu,Zhikun Li,Zhihao Liu,Gaofei Sun,Yuanyuan Yan,Yinhua Jia,Jun Yang,Zhaoe Pan,Qishen Gu,Xueyuan Li,Zhengwen Sun,Panhong Dai,Zhengwen Liu,Wenfang Gong,Wu Jinhua,Mi Wang,Hengwei Liu,Keyun Feng,Ke Huifeng,Junduo Wang,Hongyu Lan,Wang Guoning,Jun Peng,Nan Wang,Liru Wang,Baoyin Pang,Zhen Peng,Ruiqiang Li,Shilin Tian,Xiongming Du +35 more
TL;DR: The authors resequence a core collection of upland cotton (Gossypium hirsutum) comprising 419 accessions and analyze genomic variation and conduct a genome-wide association study for 13 fiber quality and yield traits in 12 different environments.
Journal ArticleDOI
Genomic analyses in cotton identify signatures of selection and loci associated with fiber quality and yield traits
Lei Fang,Lei Fang,Qiong Wang,Yan Hu,Yan Hu,Yinhua Jia,Jiedan Chen,Jiedan Chen,Bingliang Liu,Zhiyuan Zhang,Zhiyuan Zhang,Xueying Guan,Xueying Guan,Shuqi Chen,Baoliang Zhou,Gaofu Mei,Junling Sun,Zhaoe Pan,Shoupu He,Songhua Xiao,Weijun Shi,Wenfang Gong,Jianguang Liu,Jun Ma,Caiping Cai,Xiefei Zhu,Wangzhen Guo,Xiongming Du,Tianzhen Zhang,Tianzhen Zhang +29 more
TL;DR: A comprehensive genomic assessment of modern improved upland cotton based on the genome-wide resequencing of 318 landraces and modern improved cultivar or lines finds that two ethylene-pathway-related genes were associated with increased lint yield in improved cultivars.
Journal ArticleDOI
Insights into Drought Stress Signaling in Plants and the Molecular Genetic Basis of Cotton Drought Tolerance.
Tahir Mahmood,Tahir Mahmood,Shiguftah Khalid,Muhammad Abdullah,Zubair Ahmed,Muhammad Kausar Nawaz Shah,Abdul Ghafoor,Xiongming Du,Xiongming Du +8 more
TL;DR: A third-generation sequencing approach coupled with genome-wide studies and functional genomic tools, including a comparative sequenced data (transcriptomics, proteomics, and epigenomic) analysis, are proposed, which will provide information for better understanding the complex stress cellular biology of plants.