Utilizing machine learning and bioinformatics analysis to identify drought-responsive genes affecting yield in foxtail millet
文献类型： 外文期刊
作者： Zhu, Chunhui 1 ; Zhao, Ling 2 ; Zhao, Shaoxing 2 ; Niu, Xingfang 1 ; Li, Lin 2 ; Gao, Hui 4 ; Liu, Jiaxin 2 ; Wang, Litao 1 ; Zhang, Ting 2 ; Cheng, Ruhong 2 ; Shi, Zhigang 2 ; Zhang, Haoshan 2 ; Wang, Genping 2 ;
作者机构： 1.Hebei Normal Univ, Coll Phys, Shijiazhuang 050024, Peoples R China
2.Minist Agr & Rural Afairs, Coconstruct Minist & Prov, Natl Foxtail Millet Improvement Ctr, Inst Millet Crops,Hebei Acad Agr & Forestry Sci,Ke, Shijiazhuang 050035, Peoples R China
3.Hebei Normal Univ, Coll Life Sci, Shijiazhuang 050024, Peoples R China
4.Hebei Normal Univ Sci & Technol, Coll Marine Resources & Environm, Dept Life Sci & Technol, Hebei Key Lab Crop Stress Biol, Qinhuangdao 066004, Hebei, Peoples R China
关键词： Drought stress; Haplotype; Machine learning; Foxtail millet
期刊名称：INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES （ 影响因子：7.7； 五年影响因子：7.7 ）
ISSN： 0141-8130
年卷期： 2024 年 277 卷
页码：
收录情况： SCI
摘要： Drought stress is a major constraint on crop development, potentially causing huge yield losses and threatening global food security. Improving Crop's stress tolerance is usually associated with a yield penalty. One way to balance yield and stress tolerance is modification specific gene by emerging precision genome editing technology. However, our knowledge of yield-related drought-tolerant genes is still limited. Foxtail millet (Setaria italica) has a remarkable tolerance to drought and is considered to be a model C4 crop that is easy to engineer. Here, we have identified 46 drought-responsive candidate genes by performing a machine learning-based transcriptome study on two drought-tolerant and two drought-sensitive foxtail millet cultivars. A total of 12 important droughtresponsive genes were screened out by principal component analysis and confirmed experimentally by qPCR. Significantly, by investigating the haplotype of these genes based on 1844 germplasm resources, we found two genes (Seita.5G251300 and Seita.8G036300) exhibiting drought-tolerant haplotypes that possess an apparent advantage in 1000 grain weight and main panicle grain weight without penalty in grain weight per plant. These results demonstrate the potential of Seita.5G251300 and Seita.8G036300 for breeding drought-tolerant highyielding foxtail millet. It provides important insights for the breeding of drought-tolerant high-yielding crop cultivars through genetic manipulation technology.
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