Genome-wide association study and transcriptome analysis reveal key genes affecting root growth dynamics in rapeseed

被引：0
|
作者：
Keqi Li
Jie Wang
Lieqiong Kuang
Ze Tian
Xinfa Wang
Xiaoling Dun
Jinxing Tu
Hanzhong Wang
机构：
[1] Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops,National Key Laboratory of Crop Genetic Improvement
[2] Ministry of Agriculture,undefined
[3] Huazhong Agricultural University,undefined
来源：
Biotechnology for Biofuels | / 14卷
关键词：
Rapeseed; Root growth; Persistent; Stage-specific; GWAS; WGCNA;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Genome-wide association study and transcriptome analysis reveal key genes affecting root growth dynamics in rapeseed
    Li, Keqi
    Wang, Jie
    Kuang, Lieqiong
    Tian, Ze
    Wang, Xinfa
    Dun, Xiaoling
    Tu, Jinxing
    Wang, Hanzhong
    BIOTECHNOLOGY FOR BIOFUELS, 2021, 14 (01)
  • [2] Genome-wide association study and transcriptome analysis reveal natural variation of key genes regulation flowering time in rapeseed
    Xiang, Xingru
    Qiu, Ping
    Mei, Zhichao
    Yao, Min
    Liu, Wei
    He, Dan
    Cao, Song
    He, Xin
    Xiong, Xinghua
    Liu, Zhongsong
    Qian, Lunwen
    MOLECULAR BREEDING, 2024, 44 (06)
  • [3] Genome-wide association study and transcriptome analysis reveal key genes controlling fruit branch angle in cotton
    Shao, Panxia
    Peng, Yabin
    Wu, Yuanlong
    Wang, Jing
    Pan, Zhenyuan
    Yang, Yang
    Aini, Nurimanguli
    Guo, Chunping
    Shui, Guangling
    Chao, Lei
    Tian, Xiaomin
    An, Qiushuang
    Yang, Qingyong
    You, Chunyuan
    Lu, Lu
    Zhang, Xianlong
    Wang, Maojun
    Nie, Xinhui
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [4] Genome-wide association study and transcriptome comparison reveal novel QTL and candidate genes that control petal size in rapeseed
    Qian, Mingchao
    Fan, Yonghai
    Li, Yanhua
    Liu, Miao
    Sun, Wei
    Duan, Huichun
    Yu, Mengna
    Chang, Wei
    Niu, Yue
    Li, Xiaodong
    Liang, Ying
    Qu, Cunmin
    Li, Jiana
    Lu, Kun
    JOURNAL OF EXPERIMENTAL BOTANY, 2021, 72 (10) : 3597 - 3610
  • [5] Combining genome-wide association study based on low-coverage whole genome sequencing and transcriptome analysis to reveal the key candidate genes affecting meat color in pigs
    Zha, Chengwan
    Liu, Kaiyue
    Wu, Jian
    Li, Pinghua
    Hou, Liming
    Liu, Honglin
    Huang, Ruihua
    Wu, Wangjun
    ANIMAL GENETICS, 2023, 54 (03) : 295 - 306
  • [6] Genome-wide association study and transcriptome analysis reveal candidate genes for off-season flowering in blueberry
    da Silva, Mariana Neves
    Benevenuto, Juliana
    Ferra, Luis Felipe V.
    Munoz, Patricio R.
    SCIENTIA HORTICULTURAE, 2024, 325
  • [7] Combined genome-wide association study and transcriptome analysis reveal candidate genes for resistance to Fusarium ear rot in maize
    Lishan Yao
    Yanmei Li
    Chuanyu Ma
    Lixiu Tong
    Feili Du
    Mingliang Xu
    Journal of Integrative Plant Biology, 2020, 62 (10) : 1535 - 1551
  • [8] Combined genome-wide association study and transcriptome analysis reveal candidate genes for resistance to Fusarium ear rot in maize
    Yao, Lishan
    Li, Yanmei
    Ma, Chuanyu
    Tong, Lixiu
    Du, Feili
    Xu, Mingliang
    JOURNAL OF INTEGRATIVE PLANT BIOLOGY, 2020, 62 (10) : 1535 - 1551
  • [9] Genome-wide association scan and transcriptome analysis reveal candidate genes for waterlogging tolerance in cultivated barley
    Luan, Haiye
    Chen, Changyu
    Yang, Ju
    Qiao, Hailong
    Li, Hongtao
    Li, Shufeng
    Zheng, Junyi
    Shen, Huiquan
    Xu, Xiao
    Wang, Jun
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [10] Identification of environment-insensitive genes for oil content by combination of transcriptome and genome-wide association analysis in rapeseed
    Min Yao
    Dan He
    Wen Li
    Xinghua Xiong
    Xin He
    Zhongsong Liu
    Chunyun Guan
    Lunwen Qian
    Biotechnology for Biofuels and Bioproducts, 17
12345