ArticleScientific reports2018
The leaf transcriptome of fennel (Foeniculum vulgare Mill.) enables characterization of the t-anethole pathway and the discovery of microsatellites and single-nucleotide variants.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 22 citations in OpenAlex.
- Advanced techniques and applications in fennel (Foeniculum vulgare Mill.) breeding.Molecular genetics and genomics : MGG · 2025Review
- Genetics, genomics and breeding of fennel.BMC plant biology · 2025Review
- Identification and expression profiling of microRNAs in leaf tissues ofPlant signaling & behavior · 2024Article
- Secoisolariciresinol diglucoside and anethole ameliorate lipid abnormalities, oxidative injury, hypercholesterolemia, heart, and liver conditions.Food science & nutrition · 2023Article
- Chemical and Genetic Variability of IstrianPlants (Basel, Switzerland) · 2022Article
- Exploration of plant transcriptomes reveals five putative novel poleroviruses and an enamovirus.Virus genes · 2022Article
- Impact of Genomic and Transcriptomic Resources on Apiaceae Crop Breeding Strategies.International journal of molecular sciences · 2021Review
- The Mitochondrial Genome Assembly of Fennel (International journal of molecular sciences · 2020Article
- Chemical Composition and Antimicrobial and Cytotoxic Activities of Foeniculum vulgare Mill Essential Oils.Journal of gastrointestinal cancer · 2020Article
- Evaluation of Cross-Species Transferability of SSR Markers inPlants (Basel, Switzerland) · 2020Article
- De novo transcriptome of Gymnema sylvestre identified putative lncRNA and genes regulating terpenoid biosynthesis pathway.Scientific reports · 2019Article
- Yerba mate (Ilex paraguariensis, A. St.-Hil.) de novo transcriptome assembly based on tissue specific genomic expression profiles.BMC genomics · 2018Article
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5 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Fennel is a plant species of both agronomic and pharmaceutical interest that is characterized by a shortage of genetic and molecular data. Taking advantage of NGS technology, we sequenced and annotated the first fennel leaf transcriptome using material from four different lines and two different bioinformatic approaches: de novo and genome-guided transcriptome assembly. A reference transcriptome for assembly was produced by combining these two approaches. Among the 79,263 transcripts obtained, 47,775 were annotated using BLASTX analysis performed against the NR protein database subset with 11,853 transcripts representing putative full-length CDS. Bioinformatic analyses revealed 1,011 transcripts encoding transcription factors, mainly from the BHLH, MYB-related, C2H2, MYB, and ERF families, and 6,411 EST-SSR regions. Single-nucleotide variants of SNPs and indels were identified among the 8 samples at a frequency of 0.5 and 0.04 variants per Kb, respectively. Finally, the assembled transcripts were screened to identify genes related to the biosynthesis of t-anethole, a compound well-known for its nutraceutical and medical properties. For each of the 11 genes encoding structural enzymes in the t-anethole biosynthetic pathway, we identified at least one transcript showing a significant match. Overall, our work represents a treasure trove of information exploitable both for marker-assisted breeding and for in-depth studies on thousands of genes, including those involved in t-anethole biosynthesis.
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