文献类型：会议

作　　者：刘松誉 王向峰

作者单位：中国农业大学农学院,国家玉米改良中心

会议文献：第二十届中国作物学会学术年会论文摘要集

会议名称：第二十届中国作物学会学术年会

会议日期：20231101

会议地点：中国湖南长沙

出版日期：20231101

语　　种：中文

摘　　要：Maize is one of the three major food crops in China. Farmlands in China's major corn-producing regions are increasingly affected by salt stress. In recent years, many research have discovered a lot of salt-tolerant QTL(Quantitative Trait Locus, QTL) in crops. However, there is still a lack of systematic and efficient salt-tolerance QTL mining methods and bioinformatics tools. Therefore, the development of efficient QTL mining strategies will contribute to boosts the genetic improvement of crop salt tolerance.Based on the transcriptome and metabolome of maize population under control and salt conditions, this study first integrated the K-nearest neighbor and contrastive PCA algorithms in machine learning to develop a method for constructing comprehensive salt-tolerant traits-"salt stress-responsive traits". Subsequently, 49,644 "salt stress-responsive traits" were constructed from the metabolome by using this method. Further association analysis was performed using MODAS, and 1173 metabolic QTL(mQTL) were screened out by two-way ANOVA. The metabolites corresponding to these mQTLs responded significantly under salt stress. Then 34,681 "salt stress-responsive traits" were constructed from the transcriptome, and 597 salt stress-responsive expression QTL(e QTL) were identified through MODAS and two-way ANOVA. The GO enrichment results of these eQTLs are related to salt stress. Besides, a new regulatory variation site of CIPK28 was found at 118,964,893 bp on chromosome 7. Finally, by using a multi-omics colocalization analysis method based on image hashing algorithm, it was found that the 67.48-102.07 Mb of chromosome 3 was the natural variation site of the GB1 regulating the content of the salt-tolerant metabolite betaine. In summary, based on advanced machine learning algorithms, this research developed an efficient and accurate method for mining salt stress-responsive QTL and analyzing the genetic mechanism of salt tolerance, providing practical and useful tools for abiotic stress QTL mining, pathway analysis and ab

分 类 号：S513]