Comprehensive insights into herbicide resistance mechanisms in weeds: a synergistic integration of transcriptomic and metabolomic analyses

被引:6
|
作者
Sen, Madhab Kumar [1 ]
Bhattacharya, Soham [1 ]
Bharati, Rohit [2 ]
Hamouzova, Katerina [1 ]
Soukup, Josef [1 ]
机构
[1] Czech Univ Life Sci Prague, Fac Agrobiol Food & Nat Resources, Dept Agroecol & Crop Prod, Suchdol, Czech Republic
[2] Czech Univ Life Sci Prague, Fac Trop AgriSci, Dept Crop Sci & Agroforestry, Suchdol, Czech Republic
来源
FRONTIERS IN PLANT SCIENCE | 2023年 / 14卷
关键词
abiotic stresses; herbicide resistance; metabolomics; omics technologies; transcriptomic regulation; TOLERANCE; OMICS;
D O I
10.3389/fpls.2023.1280118
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Omics techniques, including genomics, transcriptomics, proteomics, and metabolomics have smoothed the researcher's ability to generate hypotheses and discover various agronomically relevant functions and mechanisms, as well as their implications and associations. With a significant increase in the number of cases with resistance to multiple herbicide modes of action, studies on herbicide resistance are currently one of the predominant areas of research within the field of weed science. High-throughput technologies have already started revolutionizing the current molecular weed biology studies. The evolution of herbicide resistance in weeds (particularly via non-target site resistance mechanism) is a perfect example of a complex, multi-pathway integration-induced response. To date, functional genomics, including transcriptomic and metabolomic studies have been used separately in herbicide resistance research, however there is a substantial lack of integrated approach. Hence, despite the ability of omics technologies to provide significant insights into the molecular functioning of weeds, using a single omics can sometimes be misleading. This mini-review will aim to discuss the current progress of transcriptome-based and metabolome-based approaches in herbicide resistance research, along with their systematic integration.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Comprehensive evaluation of the metabolic effects of porcine CRTC3 overexpression on subcutaneous adipocytes with metabolomic and transcriptomic analyses
    Jiaqi Liu
    Jie Li
    Wentao Chen
    Xintao Xie
    Xingang Chu
    Teresa G. Valencak
    Yizhen Wang
    Tizhong Shan
    Journal of Animal Science and Biotechnology, 12
  • [22] Comprehensive evaluation of the metabolic effects of porcine CRTC3 overexpression on subcutaneous adipocytes with metabolomic and transcriptomic analyses
    Liu, Jiaqi
    Li, Jie
    Chen, Wentao
    Xie, Xintao
    Chu, Xingang
    Valencak, Teresa G.
    Wang, Yizhen
    Shan, Tizhong
    JOURNAL OF ANIMAL SCIENCE AND BIOTECHNOLOGY, 2021, 12 (01)
  • [23] Integration of transcriptomic, proteomic and metabolomic data to reveal the biological mechanisms of AAI injury in renal epithelial cells
    Li, Yu
    Xu, Houxi
    Cai, Danhong
    Zhu, Sirui
    Liu, Xiaoli
    Zhao, Ye
    Zhang, Zhaofeng
    Bian, Yaoyao
    Xue, Mei
    Zhang, Liang
    TOXICOLOGY IN VITRO, 2021, 70
  • [24] Synergistic integration of transcriptomics and metabolomics analyses provides novel insights into the mechanisms underlying unsynchronized growth of greater amberjack (Seriola dumerili)
    Long, Hongzhao
    Tian, Yali
    Zhang, Dongying
    Li, Liancheng
    Hao, Ruijuan
    Li, Hang
    Wang, Chen
    Ru, Xiaoying
    Deng, Qiuxia
    Huang, Yang
    Zhu, Chunhua
    COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS, 2025, 54
  • [25] Transcriptomic and metabolomic analyses reveal the potential mechanism of waterlogging resistance in cotton (Gossypium hirsutum L.)
    Owusu, Anane Gideon
    Lv, Yin-Ping
    Liu, Man
    Wu, Yong
    Li, Cheng-Lin
    Guo, Ning
    Li, Da-Hui
    Gao, Jun-Shan
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [26] Mechanisms of Cadmium stress response in watermelon: Insights from physiological, transcriptomic, and metabolic analyses
    Wei, Tong-Lu
    Wang, Ze-Hang
    Pei, Mao-Song
    Liu, Hai-Nan
    Guo, Da-Long
    PLANT PHYSIOLOGY AND BIOCHEMISTRY, 2024, 215
  • [27] Integrative transcriptomic and metabolomic analyses reveals the toxicity and mechanistic insights of bioformulated chitosan nanoparticles against Magnaporthe oryzae
    Hafeez R.
    Guo J.
    Ahmed T.
    Ibrahim E.
    Ali M.A.
    Rizwan M.
    Ijaz M.
    An Q.
    Wang Y.
    Wang J.
    Li B.
    Chemosphere, 2024, 356
  • [28] Physiological, ionomic, transcriptomic and metabolomic analyses reveal molecular mechanisms of root adaption to salt stress in water spinach
    Li, Zhenqin
    Cheng, Long
    Li, Sitong
    Liu, Guangcai
    Liu, Sijia
    Xu, Duo
    Yang, Rongchao
    Feng, Feng
    Wang, Junning
    Zheng, Chao
    BMC GENOMICS, 2025, 26 (01):
  • [29] A comprehensive study on the longissius dorsi muscle of Ashdan yaks under different feeding regimes based on transcriptomic and metabolomic analyses
    Wang, Tong
    Ma, Xiaoming
    Zheng, Qingbo
    Ma, Chaofan
    Zhang, Zhilong
    Pan, Heping
    Guo, Xian
    Wu, Xiaoyun
    Chu, Min
    Liang, Chunnian
    Yan, Ping
    ANIMAL BIOTECHNOLOGY, 2024, 35 (01)
  • [30] Integration of proteomic and metabolomic analyses: New insights for mapping informal workers exposed to potentially toxic elements
    Miranda Araujo, Alda Neis
    Nogueira Leroux, Isabelle
    Sousa Furtado, Danielle Zildeana
    da Silva Ferreira, Ana Paula Sacone
    Batista, Bruno Lemos
    Torres Silva, Heron Dominguez
    Handakas, Evangelos
    Assuncao, Nilson Antonio
    Kaneshiro Olympio, Kelly Polido
    FRONTIERS IN PUBLIC HEALTH, 2023, 10