烟草
生物
基因
计算生物学
基因组
转录组
烟草
基因家族
遗传学
基因表达
茄科
作者
Ken-ichi Kurotani,Hideki Hirakawa,Kenta Shirasawa,Koya Tagiri,Masashi Mori,Yasunori Ichihashi,Takamasa Suzuki,Yasuhiro Tanizawa,Yasukazu Nakamura,Sachiko Isobe,Michitaka Notaguchi
标识
DOI:10.1101/2023.09.03.556139
摘要
Summary Nicotiana benthamiana has long served as a crucial plant material extensively used in plant physiology research, particularly in the field of plant pathology, because of its high susceptibility to plant viruses. Additionally, it serves as a production platform to test vaccines and other valuable substances. Among its approximately 3.1 Gb genome, 57,583 genes have been annotated within a 61 Mb region. We created a comprehensive and easy-to-use platform to use transcriptomes for modern annotation. These tools allow to visualize gene expression profiles, draw molecular evolutionary phylogenetic trees of gene families, perform functional enrichment analyses, and facilitate output downloads. To demonstrate their utility, we analyzed the gene expression profiles of enzymes within the nicotine biosynthesis pathway, a secondary metabolic pathway characteristic of the Nicotiana genus. Using the developed tool, expression profiles of the nicotine biosynthesis pathway genes were generated. The expression patterns of eight gene groups in the pathway were strongly expressed in the roots and weakly expressed in leaves and flowers of N. benthamiana . The results were consistent with the established gene expression profiles in Nicotiana tabacum and provided insights into gene family composition and expression trends. The compilation of this database tool can facilitate genetic analysis of N. benthamiana in the future. Significance statement A tool was developed to visualize gene expression profiles, draw molecular evolutionary phylogenetic trees of gene families, perform functional enrichment analyses, and facilitate output downloads of Nicotiana benthamiana . The database developed using the tool can evolve into a comprehensive all-in-one analysis platform by continuously incorporating transcriptome data released to date, newly released RNA-seq data, and annotations in the future.
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