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A multi-omics integrative network map of maize.
Han, Linqian; Zhong, Wanshun; Qian, Jia; Jin, Minliang; Tian, Peng; Zhu, Wanchao; Zhang, Hongwei; Sun, Yonghao; Feng, Jia-Wu; Liu, Xiangguo; Chen, Guo; Farid, Babar; Li, Ruonan; Xiong, Zimo; Tian, Zhihui; Li, Juan; Luo, Zi; Du, Dengxiang; Chen, Sijia; Jin, Qixiao; Li, Jiaxin; Li, Zhao; Liang, Yan; Jin, Xiaomeng; Peng, Yong; Zheng, Chang; Ye, Xinnan; Yin, Yuejia; Chen, Hong; Li, Weifu; Chen, Ling-Ling; Li, Qing; Yan, Jianbing; Yang, Fang; Li, Lin.
Afiliación
  • Han L; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Zhong W; Hubei Hongshan Laboratory, Wuhan, China.
  • Qian J; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Jin M; Hubei Hongshan Laboratory, Wuhan, China.
  • Tian P; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Zhu W; Hubei Hongshan Laboratory, Wuhan, China.
  • Zhang H; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Sun Y; Hubei Hongshan Laboratory, Wuhan, China.
  • Feng JW; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Liu X; Hubei Hongshan Laboratory, Wuhan, China.
  • Chen G; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Farid B; Hubei Hongshan Laboratory, Wuhan, China.
  • Li R; Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
  • Xiong Z; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Tian Z; Hubei Hongshan Laboratory, Wuhan, China.
  • Li J; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Luo Z; Institute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China.
  • Du D; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Chen S; Institute of Nuclear and Biological Technology, Xinjiang Academy of Agricultural Sciences, Urumqi, China.
  • Jin Q; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Li J; Institute of Plant Breeding and Biotechnology, Muhammad Nawaz Shareef University of Agriculture Multan, Multan, Pakistan.
  • Li Z; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Liang Y; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Jin X; College of Science, Huazhong Agricultural University, Wuhan, China.
  • Peng Y; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Zheng C; Hubei Hongshan Laboratory, Wuhan, China.
  • Ye X; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Yin Y; Hubei Hongshan Laboratory, Wuhan, China.
  • Chen H; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Li W; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Chen LL; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Li Q; Hubei Hongshan Laboratory, Wuhan, China.
  • Yan J; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Yang F; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
  • Li L; Hubei Hongshan Laboratory, Wuhan, China.
Nat Genet ; 55(1): 144-153, 2023 01.
Article en En | MEDLINE | ID: mdl-36581701
Networks are powerful tools to uncover functional roles of genes in phenotypic variation at a system-wide scale. Here, we constructed a maize network map that contains the genomic, transcriptomic, translatomic and proteomic networks across maize development. This map comprises over 2.8 million edges in more than 1,400 functional subnetworks, demonstrating an extensive network divergence of duplicated genes. We applied this map to identify factors regulating flowering time and identified 2,651 genes enriched in eight subnetworks. We validated the functions of 20 genes, including 18 with previously unknown connections to flowering time in maize. Furthermore, we uncovered a flowering pathway involving histone modification. The multi-omics integrative network map illustrates the principles of how molecular networks connect different types of genes and potential pathways to map a genome-wide functional landscape in maize, which should be applicable in a wide range of species.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Zea mays / Proteómica Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Zea mays / Proteómica Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China
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