Wang Lei, Lu Chang, Bao Zhi-Gang, Li Meng, Wu Fusheng, Lu Yi-Zeng, Tong Bo-Qiang, Yu Mei, Zhao Yong-Jun
Key Laboratory of State Forestry and Grassland Administration Conservation and Utilization of Warm Temperate Zone Forest and Grass Germplasm Resources, Shandong Provincial Center of Forest and Grass Germplasm Resources, Ji'nan, 250103, Shandong, China.
College of Food Science and Engineering, Shandong Agriculture and Engineering University, Ji'nan, 250103, China.
BMC Genom Data. 2025 Jan 3;26(1):1. doi: 10.1186/s12863-024-01288-w.
Toona sinensis, commonly known as Chinese toon, is a perennial woody plant with significant economic and ecological importance. This study employed whole-genome resequencing of 180 T. sinensis samples collected from Shandong to analyze genetic variation and diversity, ultimately identifying 18,231 high-quality SNPs after rigorous quality control and linkage disequilibrium pruning. This comprehensive genomic resource provides novel insights into the genetic architecture of T. sinensis, facilitating the elucidation of population structure and supporting future breeding programs.
We performed whole-genome resequencing on 180 Toona sinensis samples, generating 1170.26 Gbp of clean data with a Q30 percentage of 93.69%. The average alignment rate to the reference genome was 96.72%, with an average coverage depth of 8 × and a genome coverage of 88.71%. Following data quality control and alignment, we performed SNP calling and filtering to identify high-quality SNPs across all samples. Population structure analyses were then conducted using the identified SNPs, including principal component analysis (PCA), structure analysis, and phylogenetic tree construction. These comprehensive analyses provide a foundation for understanding the genetic diversity and evolutionary dynamics of T. sinensis.
香椿,俗称中国香椿,是一种具有重要经济和生态意义的多年生木本植物。本研究对从山东采集的180份香椿样本进行了全基因组重测序,以分析遗传变异和多样性,经过严格的质量控制和连锁不平衡修剪后,最终鉴定出18231个高质量单核苷酸多态性(SNP)。这一全面的基因组资源为香椿的遗传结构提供了新的见解,有助于阐明种群结构并支持未来的育种计划。
我们对180份香椿样本进行了全基因组重测序,产生了1170.26千兆碱基对的clean数据,Q30百分比为93.69%。与参考基因组的平均比对率为96.72%,平均覆盖深度为8倍,基因组覆盖率为88.71%。在进行数据质量控制和比对后,我们进行了SNP检测和筛选,以识别所有样本中的高质量SNP。然后使用鉴定出的SNP进行种群结构分析,包括主成分分析(PCA)、结构分析和系统发育树构建。这些全面的分析为理解香椿的遗传多样性和进化动态提供了基础。