ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2023
A highly contiguous genome assembly of red perilla (Perilla frutescens) domesticated in Japan.
Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 20 citations in OpenAlex.
- Genomic mechanism of aroma terpenoids biosynthesis in plants.Journal of advanced research · 2026Review
- Progeny-based genomic selection reveals untapped genetic potential in an underutilized medicinal plant,Molecular breeding : new strategies in plant improvement · 2026Article
- Pharmacological effects, classification, genetic and molecular studies of different chemotypes essential oil ofJournal of pharmaceutical analysis · 2026Review
- Development of a Purple-Leaf Perillene Chemotype Line inPlants (Basel, Switzerland) · 2026Article
- CRISPR-Cas9 disruption of flavanone 3-hydroxylase produces a green phenotype and alters flavone metabolites in allotetraploid perilla.Frontiers in plant science · 2026Article
- Development and application of SNP markers to discriminate Korean Perilla (Perilla frutescens) varieties using genomic sequence variations.Scientific reports · 2025Article
- Exploration of the Donors and Specific Genes of B Subgenome inPlants (Basel, Switzerland) · 2025Article
- Optimization of crossing strategy based on the usefulness criterion in interpopulation crosses considering different marker effects among populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Metabolic profiling of Perilla leaves of different colors: insights into metabolite variation and bioactive compound distribution.BMC plant biology · 2025Article
- Chromosome-scale Salvia hispanica L. (Chia) genome assembly reveals rampant Salvia interspecies introgression.The plant genome · 2024Article
- Insights into structure, codon usage, repeats, and RNA editing of the complete mitochondrial genome of Perilla frutescens (Lamiaceae).Scientific reports · 2024Article
- Improving the Traits ofPlants (Basel, Switzerland) · 2024Review
- DEGAP: Dynamic elongation of a genome assembly path.Briefings in bioinformatics · 2024Article
- Comparative Metabolomics Analysis of Different Perilla Varieties Provides Insights into Variation in Seed Metabolite Profiles and Antioxidant Activities.Foods (Basel, Switzerland) · 2023Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Perilla frutescens (Lamiaceae) is an important herbal plant with hundreds of bioactive chemicals, among which perillaldehyde and rosmarinic acid are the two major bioactive compounds in the plant. The leaves of red perilla are used as traditional Kampo medicine or food ingredients. However, the medicinal and nutritional uses of this plant could be improved by enhancing the production of valuable metabolites through the manipulation of key enzymes or regulatory genes using genome editing technology. Here, we generated a high-quality genome assembly of red perilla domesticated in Japan. A near-complete chromosome-level assembly of P. frutescens was generated contigs with N50 of 41.5 Mb from PacBio HiFi reads. 99.2% of the assembly was anchored into 20 pseudochromosomes, among which seven pseudochromosomes consisted of one contig, while the rest consisted of less than six contigs. Gene annotation and prediction of the sequences successfully predicted 86,258 gene models, including 76,825 protein-coding genes. Further analysis showed that potential targets of genome editing for the engineering of anthocyanin pathways in P. frutescens are located on the late-stage pathways. Overall, our genome assembly could serve as a valuable reference for selecting target genes for genome editing of P. frutescens.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.