Liang Zicong, Qi Nianhua, Li Ruoning, Gao Ruijia, Huang Junxia, Zhao Wei, Zhang Huijun, Wang Haiying, Ao Xue, Yao Xingdong, Xie Futi
Soybean Research Institute, Shenyang Agricultural University, Shenyang 110866, China.
Int J Mol Sci. 2025 May 7;26(9):4446. doi: 10.3390/ijms26094446.
High-density planting is crucial for maximizing the genetic potential of soybean cultivars to achieve higher yields. However, increasing the planting density can lead to the risk of plant lodging. Therefore, the identification of gene loci associated with lodging resistance is considered critical for the development of high-yielding, lodging-resistant soybean cultivars. In this study, 338 natural soybean accessions from the similar latitude were used to identify candidate genes associated with lodging resistance. Based on 9,400,987 SNPs, the soybean population was classified into three subpopulations. Genome-wide association analysis revealed that under planting densities of 300,000 and 150,000 plants/ha, a total of 20 significant SNPs were repeatedly detected under both planting densities, distributed across 14 chromosomes of soybeans. A hotspot region was identified on chromosome 19, from which seven candidate genes were detected. Based on haplotype and gene expression analyses, () and () were found to be associated with significant phenotypic variations and were identified as candidate genes. RNA-seq analysis showed that DEGs were primarily enriched in the starch and sucrose metabolism pathways. The differential expression of among soybean haplotypes was further validated by qRT-PCR. By participating in sucrose decomposition and polysaccharide metabolism processes, it regulated cellulose content, thereby affecting the soybean plant lodging. This study facilitated the dissection of genetic networks underlying lodging traits in soybean, which benefits the genetic improvement of high-yield soybean with dense planting.
高密度种植对于最大限度发挥大豆品种的遗传潜力以实现更高产量至关重要。然而,增加种植密度会导致植株倒伏风险。因此,鉴定与抗倒伏相关的基因位点被认为对于高产、抗倒伏大豆品种的培育至关重要。在本研究中,使用了来自相似纬度的338份天然大豆种质来鉴定与抗倒伏相关的候选基因。基于9,400,987个单核苷酸多态性(SNP),将大豆群体分为三个亚群。全基因组关联分析表明,在300,000株/公顷和150,000株/公顷的种植密度下,共检测到20个在两种种植密度下均重复出现的显著SNP,分布在大豆的14条染色体上。在19号染色体上鉴定出一个热点区域,从中检测到7个候选基因。基于单倍型和基因表达分析,发现()和()与显著的表型变异相关,并被鉴定为候选基因。RNA测序分析表明,差异表达基因主要富集在淀粉和蔗糖代谢途径中。通过qRT-PCR进一步验证了大豆单倍型间()的差异表达。通过参与蔗糖分解和多糖代谢过程,它调节纤维素含量,从而影响大豆植株的倒伏。本研究有助于剖析大豆倒伏性状的遗传网络,有利于高密度种植高产大豆的遗传改良。