Enhanced Herbicide Metabolism and Target Site Mutation Enabled the Multiple Resistance to Cyhalofop-butyl, Florpyrauxifen-benzyl, and Penoxsulam in Echinochloa crus-galli
文献类型: 外文期刊
第一作者: Yu, Xiaoyue
作者: Yu, Xiaoyue;Sun, Jinqiu;Yang, Yongjie;Zhang, Jianping;Lu, Yongliang;Tang, Wei
作者机构:
关键词: Echinochloa crus-galli; multiple herbicide resistance; target site mutation; enhanced herbicide metabolism; RNA-seq
期刊名称:JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY ( 影响因子:6.1; 五年影响因子:6.3 )
ISSN: 0021-8561
年卷期: 2024 年 72 卷 20 期
页码:
收录情况: SCI
摘要: This study investigated the multiple herbicide resistance (MHR) mechanism of one Echinochloa crus-galli population that was resistant to florpyrauxifen-benzyl (FPB), cyhalofop-butyl (CHB), and penoxsulam (PEX). This population carried an Ala-122-Asn mutation in the acetolactate synthase (ALS) gene but no mutation in acetyl-CoA carboxylase (ACCase) and transport inhibitor response1 (TIR1) genes. The metabolism rate of PEX was 2-fold higher, and the production of florpyrauxifen-acid and cyhalofop-acid was lower in the resistant population. Malathion and 4-chloro-7-nitrobenzoxadiazole (NBD-Cl) could reverse the resistance, suggesting that cytochrome P450 (CYP450) and glutathione S-transferase (GST) contribute to the enhanced metabolism. According to RNA-seq and qRT-PCR validation, two CYP450 genes (CYP71C42 and CYP71D55), one GST gene (GSTT2), two glycosyltransferase genes (rhamnosyltransferase 1 and IAAGLU), and two ABC transporter genes (ABCG1 and ABCG25) were induced by CHB, FPB, and PEX in the resistant population. This study revealed that the target mutant and enhanced metabolism were involved in the MHR mechanism in E. crus-galli.
分类号:
- 相关文献
作者其他论文 更多>>
-
Effects of Various Nectar and Pollen Plants on the Survival, Reproduction, and Predation of Neoseiulus bicaudus
作者:Han, Yue;Lipeizhong, Wurigemu;Liang, Xinqi;Cai, Zhiping;Liu, Weiru;Dou, Jifei;Zhang, Jianping;Wang, Shaoshan;Su, Jie;Lu, Yanhui
关键词:Phytoseiidae; nectar and pollen plants; biological control; fecundity; predation
-
Effects of N application methods on cotton yield and fertilizer N recovery efficiency in salinity fields with drip irrigation under mulch film using 15N tracing technique
作者:Luo, Zhen;Tang, Wei;Wang, Xiaowen;Lu, Hequan;Li, Chenyang;Liang, Jun;Kong, Xiangqiang;Wang, Xiaowen;Li, Chenyang;Kong, Xiangqiang
关键词:cotton; drip irrigation under mulch film; non-uniform salinity distribution; fertilizer N recovery efficiency; yield; GHNRT
-
Volatile chemical cues emitted by an agricultural companion plant (Cnidium monnieri) attract predatory lacewings (Chrysoperla sinica)
作者:Huang, Shuyang;Zhang, Wenhui;Zhang, Yunhe;Jia, Hengqiu;Zhang, Xiaoxiao;Zhang, Jianping;Cai, Zhiping;Li, Haiqiang;Ge, Feng
关键词:Chemical associate; Plant volatiles; Natural enemies; Behavioral responses; Attractiveness; Electrophysiological responses
-
Principles, developments, and applications of spatially resolved spectroscopy in agriculture: a review
作者:Xia, Yu;Liu, Wenxi;Meng, Jingwu;Hu, Jinghao;Liu, Wenbo;Kang, Jie;Tang, Wei;Liu, Wenxi;Luo, Bin;Zhang, Han
关键词:spatially resolved spectroscopy; optical properties; quality inspection; agriculture; hyperspectral imaging
-
Application of UAV-Borne Visible-Infared Pushbroom Imaging Hyperspectral for Rice Yield Estimation Using Feature Selection Regression Methods
作者:Shen, Yiyang;Yan, Ziyi;Zhang, Yanchao;Yang, Yongjie;Tang, Wei;Sun, Jinqiu
关键词:UAV; imaging hyperspectral; rice; yield estimation; spectral feature extraction; regression models
-
Comparative metabolomics and transcriptomics provide new insights into florpyrauxifen-benzyl resistance in Echinochloa glabrescens
作者:Jin, Wenyong;Xie, Kexin;Tang, Wei;Yang, Yongjie;Zhang, Jianping;Yu, Xiaoyue;Lu, Yongliang
关键词:Echinochloa glabrescens; florpyrauxifen-benzyl; metabolomics; transcriptomics; resistance; barnyard grass; herbicide
-
UAV imaging hyperspectral for barnyard identification and spatial distribution in paddy fields
作者:Zhang, Yanchao;Yan, Ziyi;Shen, Yiyang;Zhou, Haozhe;Gao, Junfeng;Gao, Junfeng;Tang, Wei;Lu, Yongliang;Yang, Yongjie
关键词:Precision Agriculture; Hyperspectral remote sensing; Feature selection; Multi -temporal; Machine Learning