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Deep Sequencing-Based Analysis of the Cymbidium ensifolium Floral Transcriptome

Overview of attention for article published in PLOS ONE, December 2013
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Title
Deep Sequencing-Based Analysis of the Cymbidium ensifolium Floral Transcriptome
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0085480
Pubmed ID
Authors

Xiaobai Li, Jie Luo, Tianlian Yan, Lin Xiang, Feng Jin, Dehui Qin, Chongbo Sun, Ming Xie

Abstract

Cymbidium ensifolium is a Chinese Cymbidium with an elegant shape, beautiful appearance, and a fragrant aroma. C. ensifolium has a long history of cultivation in China and it has excellent commercial value as a potted plant and cut flower. The development of C. ensifolium genomic resources has been delayed because of its large genome size. Taking advantage of technical and cost improvement of RNA-Seq, we extracted total mRNA from flower buds and mature flowers and obtained a total of 9.52 Gb of filtered nucleotides comprising 98,819,349 filtered reads. The filtered reads were assembled into 101,423 isotigs, representing 51,696 genes. Of the 101,423 isotigs, 41,873 were putative homologs of annotated sequences in the public databases, of which 158 were associated with floral development and 119 were associated with flowering. The isotigs were categorized according to their putative functions. In total, 10,212 of the isotigs were assigned into 25 eukaryotic orthologous groups (KOGs), 41,690 into 58 gene ontology (GO) terms, and 9,830 into 126 Arabidopsis Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and 9,539 isotigs into 123 rice pathways. Comparison of the isotigs with those of the two related orchid species P. equestris and C. sinense showed that 17,906 isotigs are unique to C. ensifolium. In addition, a total of 7,936 SSRs and 16,676 putative SNPs were identified. To our knowledge, this transcriptome database is the first major genomic resource for C. ensifolium and the most comprehensive transcriptomic resource for genus Cymbidium. These sequences provide valuable information for understanding the molecular mechanisms of floral development and flowering. Sequences predicted to be unique to C. ensifolium would provide more insights into C. ensifolium gene diversity. The numerous SNPs and SSRs identified in the present study will contribute to marker development for C. ensifolium.

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Geographical breakdown

Country Count As %
United States 1 2%
Netherlands 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Master 7 16%
Student > Bachelor 6 14%
Student > Ph. D. Student 4 9%
Professor > Associate Professor 3 7%
Other 5 11%
Unknown 11 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 45%
Biochemistry, Genetics and Molecular Biology 8 18%
Computer Science 2 5%
Medicine and Dentistry 1 2%
Engineering 1 2%
Other 0 0%
Unknown 12 27%