ArticleBMC genomics2013
De novo assembly and characterization of Camelina sativa transcriptome by paired-end sequencing.
Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed, 93 citations in OpenAlex.
- Genetic variation and structural diversity in major seed proteins among and within Camelina species.Planta · 2022Article
- Realizing the Potential ofPlants (Basel, Switzerland) · 2022Review
- Critical metabolic pathways and genes cooperate for epoxy fatty acid-enriched oil production in developing seeds of Vernonia galamensis, an industrial oleaginous plant.Biotechnology for biofuels and bioproducts · 2022Article
- Overlapping Functions of the Paralogous Proteins AtPAP2 and AtPAP9 inInternational journal of molecular sciences · 2021Article
- Characterizing the Leaf Transcriptome ofFrontiers in genetics · 2021Article
- CamRegBase: a gene regulation database for the biofuel crop, Camelina sativa.Database : the journal of biological databases and curation · 2020Article
- Genome-wide identification and functional characterization of the Camelina sativa WRKY gene family in response to abiotic stress.BMC genomics · 2020Article
- Transcriptomic Analysis and Specific Expression of Transcription Factor Genes in the Root and Sporophyll ofInternational journal of molecular sciences · 2020Article
- Divergent receptor proteins confer responses to different karrikins in two ephemeral weeds.Nature communications · 2020Article
- Article
- High Flux Through the Oxidative Pentose Phosphate Pathway Lowers Efficiency in Developing Camelina Seeds.Plant physiology · 2020Article
- De novo transcriptome sequencing of radish (Raphanus sativus L.) fleshy roots: analysis of major genes involved in the anthocyanin synthesis pathway.BMC molecular and cell biology · 2019Article
- Transcriptional regulatory networks controlling taste and aroma quality of apricot (Prunus armeniaca L.) fruit during ripening.BMC genomics · 2019Article
- De novo transcriptome sequencing and metabolite profiling analyses reveal the complex metabolic genes involved in the terpenoid biosynthesis in Blue Anise Sage (Salvia guaranitica L.).DNA research : an international journal for rapid publication of reports on genes and genomes · 2018Article
- Camelina sativa, an oilseed at the nexus between model system and commercial crop.Plant cell reports · 2018Review
- Article
- Identification of Putative Precursor Genes for the Biosynthesis of Cannabinoid-Like Compound inFrontiers in plant science · 2018Article
- High-level accumulation of oleyl oleate in plant seed oil by abundant supply of oleic acid substrates to efficient wax ester synthesis enzymes.Biotechnology for biofuels · 2018Article
- Transcriptome and metabolite analyses reveal the complex metabolic genes involved in volatile terpenoid biosynthesis in garden sage (Salvia officinalis).Scientific reports · 2017Article
- RNA Sequencing and Coexpression Analysis Reveal Key Genes Involved in α-Linolenic Acid Biosynthesis in Perilla frutescens Seed.International journal of molecular sciences · 2017Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBiofuels extracted from the seeds of Camelina sativa have recently been used successfully as environmentally friendly jet-fuel to reduce greenhouse gas emissions. Camelina sativa is genetically very close to Arabidopsis thaliana, and both are members of the Brassicaceae. Although public databases are currently available for some members of the Brassicaceae, such as A. thaliana, A. lyrata, Brassica napus, B. juncea and B. rapa, there are no public Expressed Sequence Tags (EST) or genomic data for Camelina sativa. In this study, a high-throughput, large-scale RNA sequencing (RNA-seq) of the Camelina sativa transcriptome was carried out to generate a database that will be useful for further functional analyses.
resultsApproximately 27 million clean "reads" filtered from raw reads by removal of adaptors, ambiguous reads and low-quality reads (2.42 gigabase pairs) were generated by Illumina paired-end RNA-seq technology. All of these clean reads were assembled de novo into 83,493 unigenes and 103,196 transcripts using SOAPdenovo and Trinity, respectively. The average length of the transcripts generated by Trinity was 697 bp (N50 = 976), which was longer than the average length of unigenes (319 bp, N50 = 346 bp). Nonetheless, the assembly generated by SOAPdenovo produced similar number of non-redundant hits (22,435) with that of Trinity (22,433) in BLASTN searches of the Arabidopsis thaliana CDS sequence database (TAIR). Four public databases, the Kyoto Encyclopedia of Genes and Genomes (KEGG), Swiss-prot, NCBI non-redundant protein (NR), and the Cluster of Orthologous Groups (COG), were used for unigene annotation; 67,791 of 83,493 unigenes (81.2%) were finally annotated with gene descriptions or conserved protein domains that were mapped to 25,329 non-redundant protein sequences. We mapped 27,042 of 83,493 unigenes (32.4%) to 119 KEGG metabolic pathways.
conclusionsThis is the first report of a transcriptome database for Camelina sativa, an environmentally important member of the Brassicaceae. We showed that C. savita is closely related to Arabidopsis spp. and more distantly related to Brassica spp. Although the majority of annotated genes had high sequence identity to those of A. thaliana, a substantial proportion of disease-resistance genes (NBS-encoding LRR genes) were instead more closely similar to the genes of other Brassicaceae; these genes included BrCN, BrCNL, BrNL, BrTN, BrTNL in B. rapa. As plant genomes are under long-term selection pressure from environmental stressors, conservation of these disease-resistance genes in C. sativa and B. rapa genomes implies that they are exposed to the threats from closely-related pathogens in their natural habitats.
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