文献类型： 外文期刊

作者： Cao, Yanyong ¹ ; Ma, Juan ² ; Han, Shengbo ² ; Hou, Mengwei ² ; Wei, Xun ³ ; Zhang, Xingrui ¹ ; Zhang, Zhanyuan J. ⁶ ; Sun, Suli ¹ ; Ku, Lixia ⁴ ; Tang, Jihua ⁴ ; Dong, Zhenying ¹ ; Zhu, Zhendong ¹ ; Wang, Xiaoming ¹ ; Zhou, Xiaoxiao ² ; Zhang, Lili ² ; Li, Xiangdong ⁷ ; Long, Yan ³ ; Wan, Xiangyuan ³ ; Duan, Canxing ¹ ;

作者机构： 1.Chinese Acad Agr Sci, Inst Crop Sci, Beijing, Peoples R China

2.Henan Acad Agr Sci, Inst Cereal Crops, Zhengzhou, Peoples R China

3.Univ Sci & Technol Beijing, Zhongzhi Int Inst Agr Biosci, Res Inst Biol & Agr, Beijing, Peoples R China

4.Shennong Lab, Zhengzhou, Peoples R China

5.Henan Agr Univ, Coll Agron, Zhengzhou, Peoples R China

6.Univ Missouri, Div Plant Sci, Plant Transformat Core Facil, Columbia, MO USA

7.Shandong Agr Univ, Coll Plant Protect, Dept Plant Pathol, Tai An, Peoples R China

8.Inari Agr Inc, W Lafayette, IN 47906 USA

关键词： maize stalk rot; scRNA-seq; Fusarium verticillioides; co-expression module; immune regulatory networks

期刊名称：PLANT BIOTECHNOLOGY JOURNAL （ 影响因子：13.8； 五年影响因子：13.2 ）

ISSN： 1467-7644

年卷期： 2023 年

页码：

收录情况： SCI

摘要： Stalk rot caused by Fusarium verticillioides (Fv) is one of the most destructive diseases in maize production. The defence response of root system to Fv invasion is important for plant growth and development. Dissection of root cell type-specific response to Fv infection and its underlying transcription regulatory networks will aid in understanding the defence mechanism of maize roots to Fv invasion. Here, we reported the transcriptomes of 29 217 single cells derived from root tips of two maize inbred lines inoculated with Fv and mock condition, and identified seven major cell types with 21 transcriptionally distinct cell clusters. Through the weighted gene co-expression network analysis, we identified 12 Fv-responsive regulatory modules from 4049 differentially expressed genes (DEGs) that were activated or repressed by Fv infection in these seven cell types. Using a machining-learning approach, we constructed six cell type-specific immune regulatory networks by integrating Fv-induced DEGs from the cell type-specific transcriptomes, 16 known maize disease-resistant genes, five experimentally validated genes (ZmWOX5b, ZmPIN1a, ZmPAL6, ZmCCoAOMT2, and ZmCOMT), and 42 QTL or QTN predicted genes that are associated with Fv resistance. Taken together, this study provides not only a global view of maize cell fate determination during root development but also insights into the immune regulatory networks in major cell types of maize root tips at single-cell resolution, thus laying the foundation for dissecting molecular mechanisms underlying disease resistance in maize.