Melia Tisha, Wahibah Ninik Nihayatul, Fatonah Siti, Roslim Dewi Indriyani, Adnan Arisman
Computer Science Department, Faculty of Mathematics and Natural Sciences, Universitas Riau, Pekanbaru, Riau, Indonesia.
Biology Department, Faculty of Mathematics and Natural Sciences, Universitas Riau, Pekanbaru, Riau, Indonesia.
BMC Genom Data. 2025 Feb 14;26(1):11. doi: 10.1186/s12863-025-01305-6.
Coffea liberica is one of the species within the Coffea genus known for its distinctive flavor and resistance to leaf rust disease. Through breeding approaches, two superior varieties of C. liberica, designated as Liberoid Meranti 1 (Lim 1) and Liberoid Meranti 2 (Lim 2), were introduced in 2015. These varieties are known for their high adaptability in peatlands. The genetic basis of plant adaptability to peatlands remains largely unknown. It is therefore essential to identify genome-wide DNA polymorphisms in Lim 1 and 2 in order to gain insights into its capacity for adaptation in peatlands.
Whole genome sequencing was performed on three plants from each variety (Lim 1 and 2), resulting in 430 million sequencing reads. The mean depth of sequencing for each sample was 36.90x. The reads were mapped to the Coffea canephora genome, with an average mapping rate of 96.34%. The sequencing data revealed the presence of 3,766,805 single-nucleotide polymorphisms (SNPs) and 1,123,683 insertion-deletions (indels) in all six plants. Among the SNPs, there was a notable prevalence of transitions, with a ratio of approximately twofold compared to transversions. The generated data offers invaluable genomic resources for marker development, with significant implications for understanding peatlands adaptability.
利比里卡咖啡是咖啡属中的一个物种,以其独特的风味和对叶锈病的抗性而闻名。通过育种方法,2015年引入了两个利比里卡咖啡的优良品种,分别命名为利比罗伊德美兰蒂1号(Lim 1)和利比罗伊德美兰蒂2号(Lim 2)。这些品种以其在泥炭地的高适应性而闻名。植物对泥炭地适应性的遗传基础在很大程度上仍然未知。因此,有必要鉴定Lim 1和Lim 2全基因组的DNA多态性,以便深入了解其在泥炭地的适应能力。
对每个品种(Lim 1和Lim 2)的三株植物进行了全基因组测序,产生了4.3亿条测序读数。每个样本的平均测序深度为36.90倍。这些读数被映射到卡内弗拉咖啡基因组上,平均映射率为96.34%。测序数据显示,在所有六株植物中存在3766805个单核苷酸多态性(SNP)和1123683个插入缺失(indel)。在SNP中,转换的发生率显著,与颠换的比例约为两倍。所生成的数据为标记开发提供了宝贵的基因组资源,对理解泥炭地适应性具有重要意义。