您好，欢迎访问内蒙古农牧业科学院 机构知识库！
内蒙古农牧业科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Machine Learning-Based identification of resistance genes associated with sunflower broomrape

文献类型： 外文期刊

作者： Che, Yingxue 1 ; Zhang, Congzi 1 ; Xing, Jixiang 1 ; Xi, Qilemuge 1 ; Shao, Ying 2 ; Zhao, Lingmin 2 ; Guo, Shuchun 2 ; Zuo, Yongchun 1 ;

作者机构： 1.Inner Mongolia Univ, Coll Life Sci, State Key Lab Reprod Regulat & Breeding Grassland, Hohhot 010020, Peoples R China

2.Inner Mongolia Acad Agr & Anim Husb Sci, Hohhot 010000, Peoples R China

关键词： Machine learning; Feature selection; Resistance genes; Sunflower broomrape

期刊名称：PLANT METHODS （ 影响因子：4.4； 五年影响因子：5.7 ）

ISSN：

年卷期： 2025 年 21 卷 1 期

页码：

收录情况： SCI

摘要： BackgroundSunflowers (Helianthus annuus L.), a vital oil crop, are facing a severe challenge from broomrape (Orobanche cumana), a parasitic plant that seriously jeopardizes the growth and development of sunflowers, limits global production and leads to substantial economic losses, which urges the development of resistant sunflower varieties.ResultsThis study aims to identify resistance genes from a comprehensive transcriptomic profile of 103 sunflower varieties based on gene expression data and then constructs predictive models with the key resistant genes. The least absolute shrinkage and selection operator (LASSO) regression and random forest feature importance ranking method were used to identify resistance genes. These genes were considered as biomarkers in constructing machine learning models with Support Vector Machine (SVM), K-Nearest Neighbours (KNN), Logistic Regression (LR), and Gaussian Naive Bayes (GaussianNB). The SVM model constructed with the 24 key genes selected by the LASSO method demonstrated high classification accuracy (0.9514) and a robust AUC value (0.9865), effectively distinguishing between resistant and susceptible varieties based on gene expression data. Furthermore, we discovered a correlation between key genes and differential metabolites, particularly jasmonic acid (JA).ConclusionOur study highlights a novel perspective on screening sunflower varieties for broomrape resistance, which is anticipated to guide future biological research and breeding strategies.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：内蒙古农牧业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台