CathaCyc, a Metabolic Pathway Database Built from Catharanthus roseus RNA-Seq Data

2013 ◽  
Vol 54 (5) ◽  
pp. 673-685 ◽  
Author(s):  
Alex Van Moerkercke ◽  
Michele Fabris ◽  
Jacob Pollier ◽  
Gino J.E. Baart ◽  
Stephane Rombauts ◽  
...  
2011 ◽  
Vol 31 (4) ◽  
pp. 882-884
Author(s):  
Li-hua YUE ◽  
Qi-zhou WANG ◽  
Rong-feng CAI

2019 ◽  
Vol 19 (5) ◽  
Author(s):  
Liu Pengfei ◽  
Wang Weiwei ◽  
Ling Xiaofei ◽  
Lu Qin ◽  
Zhang Jinwen ◽  
...  

Abstract Insect hormones regulate metamorphosis including that leading to sexual dimorphism. Using RNA-Seq, we discovered that the second-instar male larva (SM) of the white wax insect, Ericerus pela, have 5,968 and 8,620 differentially expressed transcripts compared with the second-instar female larva (SF) and the first-instar male larva (FM), respectively. The expression levels of genes involved in the apoptosis of old tissues and the reconstruction of new ones in the SM significantly enhanced, while the SF mainly has enhanced expression levels of anabolic genes such as chitin. We predicted that the second-instar larvae are the developmental origin of sexual dimorphic metamorphosis. Meanwhile, in the juvenile hormone (JH) metabolic pathway, CYP15A1 and JH esterase (JHE) are differentially expressed; and in the 20-hydroxyecdysone (20E) metabolic pathway, CYP307A1, CYP314A1, and CYP18A1 are differentially expressed. In the SM, the expression levels of CYP307A1 and CYP314A1 are significantly increased, whereas the expression level of CYP18A1 is significantly decreased; in the SF, the expression levels of the above genes are opposite to that of the SM. Expression trends of RNA-seq is consistent with the expression level of qRT–PCR, and seven of them are highly correlated (R ≥ 0.610) and four are moderately correlated (0.588 ≥ R ≥ 0.542).


2016 ◽  
Vol 7 ◽  
Author(s):  
Sushma Naithani ◽  
Christina M. Partipilo ◽  
Rajani Raja ◽  
Justin L. Elser ◽  
Pankaj Jaiswal

Author(s):  
Eleanor C. Saunders ◽  
James I. MacRae ◽  
Thomas Naderer ◽  
Milica Ng ◽  
Malcolm J. McConville ◽  
...  

2008 ◽  
Vol 9 (S10) ◽  
Author(s):  
Bridget Chukualim ◽  
Nick Peters ◽  
Christiane Hertz Fowler ◽  
Matthew Berriman

2010 ◽  
Vol 153 (4) ◽  
pp. 1479-1491 ◽  
Author(s):  
Peifen Zhang ◽  
Kate Dreher ◽  
A. Karthikeyan ◽  
Anjo Chi ◽  
Anuradha Pujar ◽  
...  

2014 ◽  
Author(s):  
Vikas Gupta ◽  
April Dawn Estrada ◽  
Ivory Clabaugh Blakley ◽  
Rob Reid ◽  
Ketan Patel ◽  
...  

Background: Blueberries are a rich source of antioxidants and other beneficial compounds that can protect against disease. Identifying genes involved in synthesis of bioactive compounds could enable breeding berry varieties with enhanced health benefits. Results: Toward this end, we annotated a draft blueberry genome assembly using RNA-Seq data from five stages of berry fruit development and ripening. Genome-guided assembly of RNA-Seq read alignments combined with output from ab initio gene finders produced around 60,000 gene models, of which more than half were similar to proteins from other species, typically the grape Vitis vinifera. Comparison of gene models to the PlantCyc database of metabolic pathway enzymes identified candidate genes involved in synthesis of bioactive compounds, including bixin, an apocarotenoid with potential disease-fighting properties, and defense-related cyanogenic glycosides, which are toxic. Cyanogenic glycoside (CG) biosynthetic enzymes were highly expressed in green fruit, and a candidate CG detoxification enzyme was up regulated during fruit ripening. Candidate genes for ethylene, anthocyanin, and 400 other biosynthetic pathways were also identified. Homology-based annotation using Blast2GO and InterPro assigned Gene Ontology terms to around 15,000 genes. RNA-Seq expression profiling showed that blueberry growth, maturation, and ripening involve dynamic gene expression changes, including coordinated up and down regulation of metabolic pathway enzymes and transcriptional regulators. Analysis of RNA-seq alignments identified developmentally regulated alternative splicing, promoter use, and 3? end formation. Conclusions: We report genome sequence, gene models, functional annotations, and RNA-Seq expression data that provide an important new resource enabling high throughput studies in blueberry. RNA-Seq data are freely available for visualization in Integrated Genome Browser, and analysis code is available from the git repository at http://bitbucket.org/lorainelab/blueberrygenome.


2016 ◽  
Vol 113 (14) ◽  
pp. 3891-3896 ◽  
Author(s):  
Kotaro Yamamoto ◽  
Katsutoshi Takahashi ◽  
Hajime Mizuno ◽  
Aya Anegawa ◽  
Kimitsune Ishizaki ◽  
...  

Catharanthus roseus (L.) G. Don is a medicinal plant well known for producing antitumor drugs such as vinblastine and vincristine, which are classified as terpenoid indole alkaloids (TIAs). The TIA metabolic pathway in C. roseus has been extensively studied. However, the localization of TIA intermediates at the cellular level has not been demonstrated directly. In the present study, the metabolic pathway of TIA in C. roseus was studied with two forefront metabolomic techniques, that is, Imaging mass spectrometry (MS) and live Single-cell MS, to elucidate cell-specific TIA localization in the stem tissue. Imaging MS indicated that most TIAs localize in the idioblast and laticifer cells, which emit blue fluorescence under UV excitation. Single-cell MS was applied to four different kinds of cells [idioblast (specialized parenchyma cell), laticifer, parenchyma, and epidermal cells] in the stem longitudinal section. Principal component analysis of Imaging MS and Single-cell MS spectra of these cells showed that similar alkaloids accumulate in both idioblast cell and laticifer cell. From MS/MS analysis of Single-cell MS spectra, catharanthine, ajmalicine, and strictosidine were found in both cell types in C. roseus stem tissue, where serpentine was also accumulated. Based on these data, we discuss the significance of TIA synthesis and accumulation in the idioblast and laticifer cells of C. roseus stem tissue.


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