Insights into the effects of anilofos on direct-seeded rice production system through untargeted metabolomics

文献类型： 外文期刊

第一作者： Wang, Weitao

作者： Wang, Weitao;Wang, Weitao;Long, Jiahuan;Huang, Wenyuan;Zhang, Ying;Duan, Tingting;Wang, Huaixu

作者机构：

关键词： Direct-seeded rice; Anilofos; Untargeted metabolomics; KEGG pathway analysis

期刊名称：ENVIRONMENTAL POLLUTION （ 影响因子：7.6； 五年影响因子：8.3 ）

ISSN： 0269-7491

年卷期： 2024 年 360 卷

页码：

收录情况： SCI

摘要： Weed infestation is the major biological threat in direct-seeded rice production and can cause significant yield losses. The effective use of herbicides is particularly important in direct-seeded rice production. Anilofos, a pre- emergence herbicide, has been shown to be effective against the weed barnyardgrass. However, its impacts on crop yield and the direct-seeded rice production ecosystem remain underexplored. In this study, we conducted field trials and used untargeted metabolomics to investigate systemic effects of two different treatments (40 g/ acre and 60 g/acre) on rice shoot and root as well as the rhizosphere soil during the critical tillering stage. Here, a total of 400 metabolites were determined in the crop and soil, with differential metabolites primarily comprising lipids and lipid-like molecules as well as phenylpropanoids and polyketides. Spearman correlation network analysis and a Zi-Pi plot revealed 7 key differential metabolites with significant topological roles, including succinic acid semialdehyde and riboflavin. KEGG pathway analysis showed that anilofos downregulated the amino acid metabolism while mainly promoted carbohydrate metabolism and secondary metabolites biosynthesis of the crop, which made minimal disruption on soil metabolism. Notably, we found 40 g/acre anilofos application could significantly improve the rice yield, potentially linked to the improved activity of flavonoid biosynthesis and starch and sucrose metabolism. This research provides a comprehensive evaluation of anilofos effects in the direct-seeded rice production system, offering new insights into optimizing herbicide use to improve agricultural sustainability and productivity.

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