2013
DOI: 10.1371/journal.pone.0085480
|View full text |Cite
|
Sign up to set email alerts
|

Deep Sequencing-Based Analysis of the Cymbidium ensifolium Floral Transcriptome

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 nucleo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

4
56
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 69 publications
(63 citation statements)
references
References 88 publications
4
56
0
Order By: Relevance
“…Di-nucleotide motifs were the most frequent SSR motif type. This finding is consistent with the results that were reported for sugar beets, cabbage, soybeans, sunflowers, grapes, and sesame plants (Kumpatla and Mukhopadhyay, 2005;Wei et al, 2011), whereas tri-nucleotide motifs were the most abundant SSRs in rice, wheat, barley, radish, and Cymbidium ensifolium (La Rota et al, 2005;Wang et al, 2012;Li et al, 2013). Among the di-nucleotide repeats, AG/CT was the most abundant motif in our data ( Figure 5B).…”
Section: Est-ssr Marker Detection and Characterizationsupporting
confidence: 93%
See 2 more Smart Citations
“…Di-nucleotide motifs were the most frequent SSR motif type. This finding is consistent with the results that were reported for sugar beets, cabbage, soybeans, sunflowers, grapes, and sesame plants (Kumpatla and Mukhopadhyay, 2005;Wei et al, 2011), whereas tri-nucleotide motifs were the most abundant SSRs in rice, wheat, barley, radish, and Cymbidium ensifolium (La Rota et al, 2005;Wang et al, 2012;Li et al, 2013). Among the di-nucleotide repeats, AG/CT was the most abundant motif in our data ( Figure 5B).…”
Section: Est-ssr Marker Detection and Characterizationsupporting
confidence: 93%
“…This finding is consistent with the results that were reported for other plant species (Wei et al, 2011;Wang et al, 2012). Among the tri-nucleotide motifs, the most frequent motifs in our data were CCG/CGG, whereas AAG/CTT were the most frequent motifs in other plant species, such as radish, sesame, and C. ensifolium (Wei et al, 2011;Wang et al, 2012;Li et al, 2013).…”
Section: Est-ssr Marker Detection and Characterizationsupporting
confidence: 93%
See 1 more Smart Citation
“…The number of transcripts and unigenes assembled for the inflorescence of O. italica is higher than those assembled with the same deep sequencing approach for the inflorescence of the orchid Cymbidium ensifolium (101,423 transcripts and 51,696 unigenes) [34] and similar or slightly lower than those assembled for mixed vegetative and reproductive tissues of Cymbidium sinense [33] and Erycina pusilla [36]. The other orchid transcriptomes currently available ( Oncidium ‘Gower Ramsey’, Phalaenopsis aphrodite and Ophrys ) were obtained by applying combined approaches of different next generation sequencing (NGS) techniques [32], [35], [37], resulting in transcriptomes composed of both contigs and singletons.…”
Section: Resultsmentioning
confidence: 83%
“…Recently, next generation sequencing approaches have been applied to identify genes associated with flowering in some orchid species belonging to the Epidendroideae sub-family (genera Phalaenopsis , Cymbidium , Oncidium , Ericina ) [29], [32], [33], [34], [35], [36], whereas similar studies in the Orchidoideae sub-family have been limited to Ophrys [37]. Although all of these RNA-seq studies include comprehensive analyses of coding and/or small non-coding RNAs in orchid species, none of them focus on the long non-coding RNAs (lncRNAs).…”
Section: Introductionmentioning
confidence: 99%