College of Tea Science / Tea Engineering Technology Research Center, Guizhou University, Guiyang, 550025, Guizhou Province, People's Republic of China.
Key Laboratory of Plant Resources Conservation and Germplasm Innovation in Mountainous Region, Ministry of Education, Institute of Agro-Bioengineering, Guizhou University, Guiyang, 550025, Guizhou Province, People's Republic of China.
BMC Plant Biol. 2023 Apr 12;23(1):196. doi: 10.1186/s12870-023-04192-0.
Studying the genetic characteristics of tea plant (Camellia spp.) leaf traits is essential for improving yield and quality through breeding and selection. Guizhou Plateau, an important part of the original center of tea plants, has rich genetic resources. However, few studies have explored the associations between tea plant leaf traits and single nucleotide polymorphism (SNP) markers in Guizhou.
In this study, we used the genotyping-by-sequencing (GBS) method to identify 100,829 SNP markers from 338 accessions of tea germplasm in Guizhou Plateau, a region with rich genetic resources. We assessed population structure based on high-quality SNPs, constructed phylogenetic relationships, and performed genome-wide association studies (GWASs). Four inferred pure groups (G-I, G-II, G-III, and G-IV) and one inferred admixture group (G-V), were identified by a population structure analysis, and verified by principal component analyses and phylogenetic analyses. Through GWAS, we identified six candidate genes associated with four leaf traits, including mature leaf size, texture, color and shape. Specifically, two candidate genes, located on chromosomes 1 and 9, were significantly associated with mature leaf size, while two genes, located on chromosomes 8 and 11, were significantly associated with mature leaf texture. Additionally, two candidate genes, located on chromosomes 1 and 2 were identified as being associated with mature leaf color and mature leaf shape, respectively. We verified the expression level of two candidate genes was verified using reverse transcription quantitative polymerase chain reaction (RT-qPCR) and designed a derived cleaved amplified polymorphism (dCAPS) marker that co-segregated with mature leaf size, which could be used for marker-assisted selection (MAS) breeding in Camellia sinensis.
In the present study, by using GWAS approaches with the 338 tea accessions population in Guizhou, we revealed a list of SNPs markers and candidate genes that were significantly associated with four leaf traits. This work provides theoretical and practical basis for the genetic breeding of related traits in tea plant leaves.
研究茶树叶片特征的遗传特性对于通过选育来提高产量和品质至关重要。贵州高原是茶树起源中心的重要组成部分,拥有丰富的遗传资源。然而,关于茶树叶片特征与贵州地区单核苷酸多态性(SNP)标记之间的关联,鲜有研究涉及。
本研究利用贵州高原 338 份茶树种质资源的基因分型测序(GBS)方法,鉴定了 100829 个 SNP 标记。基于高质量 SNP 进行群体结构分析,构建系统发育关系,并进行全基因组关联研究(GWAS)。通过群体结构分析鉴定出四个纯合群体(G-I、G-II、G-III 和 G-IV)和一个杂合群体(G-V),通过主成分分析和系统发育分析得到验证。通过 GWAS 鉴定出与四个叶片特征(成熟叶大小、质地、颜色和形状)相关的 6 个候选基因。具体来说,位于第 1 号和第 9 号染色体上的两个候选基因与成熟叶大小显著相关,而位于第 8 号和第 11 号染色体上的两个基因与成熟叶质地显著相关。此外,位于第 1 号和第 2 号染色体上的两个候选基因分别被鉴定为与成熟叶颜色和成熟叶形状相关。利用反转录定量聚合酶链反应(RT-qPCR)验证了两个候选基因的表达水平,并设计了与成熟叶大小共分离的衍生切割扩增多态性(dCAPS)标记,可用于茶树的标记辅助选择(MAS)育种。
本研究利用贵州地区 338 份茶树群体进行 GWAS 分析,揭示了与四个叶片特征显著相关的 SNP 标记和候选基因,为茶树叶片相关性状的遗传育种提供了理论和实践基础。