文献类型: 外文期刊
作者: Fan, Renzhong 1 ; Wang, Jiao 1 ; Chao, Shengqian 2 ; Yu, Deyue 1 ; Cheng, Hao 1 ;
作者机构: 1.Nanjing Agr Univ, Natl Ctr Soybean Improvement, Jiangsu Collaborat Innovat Ctr Modern Crop Prod, Natl Key Lab Crop Genet & Germplasm Enhancement &, Nanjing 210095, Peoples R China
2.Shanghai Acad Agr Sci, Biotechnol Res Inst, Shanghai 201106, Peoples R China
关键词: Soybean; Root nodule; Genome-wide association studies; PCA; Transcriptome analysis
期刊名称:EUPHYTICA ( 影响因子:1.7; 五年影响因子:1.8 )
ISSN: 0014-2336
年卷期: 2025 年 221 卷 1 期
页码:
收录情况: SCI
摘要: Root nodules provide nitrogen-based nutrition for soybean. A better understanding of the genetic architecture and molecular mechanisms of nodulation is important for soybean breeding. In this study, principal component analysis (PCA) was performed for root nodule-related traits, and the PC scores of each material were calculated. Nodulation ability was evaluated on the basis of principal component scores. A genome-wide association study (GWAS) was performed to identify single nucleotide polymorphisms (SNPs) associated with root nodule-related traits and PC scores across four environments. Five SNPs were repeatedly identified in the two environments. The supernodulation material NJAU_C156 and the difficult-nodulation material NJAU_C130 were used for transcriptomic analysis. There were 224 common differentially expressed genes (DEGs) for the root system and 167 common DEGs for the root nodules. Enrichment analysis revealed that these DEGs were enriched mainly in oxidoreductase activity, glutathione peroxidase activity, arachidonic acid metabolism, and isoflavone metabolism etc. These genes play important role in the formation and development of root nodules and nitrogen fixation processes. By combining the DEGs obtained from the transcriptomic analysis with the GWAS results, fifteen candidate genes were identified, which were annotated mainly as serine-rich protein-related genes, UDP-glucosyl transferase genes, and genes encoding WRKY family transcription factors. Overall, the loci and candidate genes identified in this study will be helpful to further understand symbiotic nodulation.
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