Department of Computational Biology and Bioinformatics, University of Kerala, Thiruvananthapuram, Kerala, India
Department of Computational Biology and Bioinformatics, University of Kerala, Thiruvananthapuram, Kerala, India.
G3 (Bethesda). 2019 Aug 8;9(8):2395-2404. doi: 10.1534/g3.119.400164.
Arogyapacha, the local name of , is a rare, indigenous medicinal plant of India. This plant is famous for its traditional use as an instant energy stimulant. So far, no genomic resource is available for this important plant and hence its metabolic pathways are poorly understood. Here, we report on a high-quality draft assembly of approximately 713.4 Mb genome of , first draft genome from the genus The assembly was generated in a hybrid approach using Illumina short-reads and Pacbio longer-reads. The total assembly comprised of 22601 scaffolds with an N50 value of 433.3 Kb. We predicted 34452 protein coding genes in genome and found that a significant portion of these predicted genes were associated with various secondary metabolite biosynthetic pathways. Comparative genome analysis revealed extensive gene collinearity between and its closely related plant species. The present genome and annotation data provide an essential resource to speed-up the research on secondary metabolism, breeding and molecular evolution of
的地方名,是印度一种罕见的本土药用植物。该植物因其传统上用作即时能量兴奋剂而闻名。到目前为止,还没有这种重要植物的基因组资源,因此其代谢途径了解甚少。在这里,我们报告了大约 713.4 Mb 的高质量草案组装,这是 属的第一个基因组草案。该组装是使用 Illumina 短读和 Pacbio 长读混合方法生成的。总组装由 22601 个支架组成,N50 值为 433.3 Kb。我们在 基因组中预测了 34452 个蛋白质编码基因,并发现其中很大一部分与各种次生代谢物生物合成途径有关。比较基因组分析显示, 和其密切相关的植物物种之间存在广泛的基因共线性。本基因组和注释数据为加速次生代谢、繁殖和分子进化的研究提供了必要的资源