Zhang Haopeng, Li Weihua, Li Guodong, Liu Jiaren, Chen Hongsheng, Zhang Chunpeng, Zhao Jinlu, Zhang Zhicheng, Lv Qiang, Zhang Yan, Yang Guohui, Liu Ming
Department of Oncological Surgery, The Fourth Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Department of Medical Imaging, Shenzhen Second People's Hospital/The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, China.
Int J Genomics. 2024 Nov 25;2024:9271183. doi: 10.1155/2024/9271183. eCollection 2024.
Red raspberry ( L.), which is an important nutritional source for human health, belongs to fruit crops of the Rosaceae family. Here, we used Pacific Biosciences single-molecule real-time (SMRT) sequencing and high-throughput chromosome conformation capture (Hi-C) sequencing technologies to assemble genomes and reported a high-quality L. (DNS-1) genome with 321.29 Mb assembled into seven chromosomes. The LAI score of the DNS-1 genome assembly was 21.32, belonging to gold quality. Approximately 52.3% of the assembly sequences were annotated as repetitive sequences, and 24.15% were composed of long terminal repeat elements. A total of 29,814 protein-coding genes and 2474 pseudogenes were predicted in DNS-1. We characterized the complete genomes of DNS-1 and compared them to those of seven other species. We found that 652 gene families were unique to DNS-1 and they were shaped from an ancestor. There were 1000 and 5193 gene families that expanded and contracted in the DNS-1 genome. The L. genome can be used to understand the structure and evolution of Rosaceae genomes and can be developed to identify genes controlling important traits and improve breeding work.
红树莓(Rubus idaeus L.)是人类健康重要的营养来源,属于蔷薇科果树作物。在此,我们利用太平洋生物科学公司的单分子实时(SMRT)测序和高通量染色体构象捕获(Hi-C)测序技术组装基因组,并报道了一个高质量的红树莓(DNS-1)基因组,其大小为321.29 Mb,组装成7条染色体。DNS-1基因组组装的LAI评分为21.32,属于黄金质量。约52.3%的组装序列被注释为重复序列,24.15%由长末端重复元件组成。在DNS-1中总共预测到29,814个蛋白质编码基因和2474个假基因。我们对DNS-1的完整基因组进行了特征分析,并将其与其他七个物种的基因组进行了比较。我们发现有652个基因家族是DNS-1特有的,它们起源于一个祖先。在DNS-1基因组中有1000个基因家族发生了扩张,5193个基因家族发生了收缩。红树莓基因组可用于了解蔷薇科基因组的结构和进化,并可用于鉴定控制重要性状的基因和改进育种工作。