Li Wenxiu, Zhang Zishan, Ouyang Huan, Zhang Hualin, Cheng Han, Zhang Xiaofei, Gao Xinsheng, He Junjun, Yan Qing, Ye Yana, Yi Yingtao, Li Pingsheng, Luo Ping, Xie Ruihong
Zhanjiang Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China.
School of Life Science and Technology, Lingnan Normal University, Zhanjiang 524048, China.
Plants (Basel). 2025 Aug 8;14(16):2460. doi: 10.3390/plants14162460.
As a key tropical economic tree species, the girth of the rubber tree () not only reflects its growth rate and timber yield but also determines tapping schedules and non-productive periods. This trait critically influences both the species' economic value and latex production potential. Despite recent advances in genetic analyses of girth driven by genomic technologies, the number of identified key genes remains insufficient to support molecular breeding programs. This study focuses on 138 samples of rubber tree natural accessions, integrating phenotypic data analysis, population genetic structure analysis, and genome-wide association analysis (GWAS) to identify genetic loci and candidate genes associated with girth. Population stratification divides the tested accessions into four genetic groups: Groups Ⅰ and Ⅳ exhibit high genetic purity, while Groups Ⅱ and Ⅲ display hybrid characteristics. GWAS based on a mixed linear model detects 7 and 23 SNPs significantly associated with girth at = 4.4 × 10 and = 2.22 × 10, respectively. The most significant SNP is located at position 44994744 on chromosome CM021229.1. Under the highly significant association threshold, 27 candidate genes were identified, 4 of which are directly related to girth. Gene Ontology (GO) annotation of these 27 candidate genes reveals their primary involvement in metabolic regulation, signal transduction, and cell component construction. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis shows they are primarily enriched in the "aminoacyl-tRNA biosynthesis" and "glycolysis/gluconeogenesis" pathways. These findings provide significant theoretical support for genetic enhancement and mechanistic analysis of rubber tree growth traits. They reveal novel SNP markers and genes that complement existing genetic resources, refining breeding strategies for elite genotype selection and ultimately contributing to enhanced rubber production.
作为一种关键的热带经济树种,橡胶树的树围不仅反映其生长速度和木材产量,还决定割胶计划和非生产期。这一性状对该树种的经济价值和乳胶生产潜力都有至关重要的影响。尽管基因组技术推动了树围遗传分析的最新进展,但已鉴定出的关键基因数量仍不足以支持分子育种计划。本研究聚焦于138份橡胶树天然种质样本,整合表型数据分析、群体遗传结构分析和全基因组关联分析(GWAS),以鉴定与树围相关的遗传位点和候选基因。群体分层将测试种质分为四个遗传组:Ⅰ组和Ⅳ组表现出高遗传纯度,而Ⅱ组和Ⅲ组表现出杂交特征。基于混合线性模型的GWAS分别在P = 4.4 × 10⁻⁶和P = 2.22 × 10⁻⁸时检测到7个和23个与树围显著相关的单核苷酸多态性(SNP)。最显著的SNP位于染色体CM021229.1上的44994744位置。在高度显著关联阈值下,鉴定出27个候选基因,其中4个与树围直接相关。对这27个候选基因的基因本体论(GO)注释表明,它们主要参与代谢调控、信号转导和细胞组分构建。京都基因与基因组百科全书(KEGG)分析表明,它们主要富集在“氨酰基-tRNA生物合成”和“糖酵解/糖异生”途径中。这些发现为橡胶树生长性状的遗传改良和机制分析提供了重要的理论支持。它们揭示了新的SNP标记和基因,补充了现有的遗传资源,完善了优良基因型选择的育种策略,最终有助于提高橡胶产量。