De novo transcriptome assembly databases for the butterfly orchid Phalaenopsis equestris.

Abstract:

:Orchids are renowned for their spectacular flowers and ecological adaptations. After the sequencing of the genome of the tropical epiphytic orchid Phalaenopsis equestris, we combined Illumina HiSeq2000 for RNA-Seq and Trinity for de novo assembly to characterize the transcriptomes for 11 diverse P. equestris tissues representing the root, stem, leaf, flower buds, column, lip, petal, sepal and three developmental stages of seeds. Our aims were to contribute to a better understanding of the molecular mechanisms driving the analysed tissue characteristics and to enrich the available data for P. equestris. Here, we present three databases. The first dataset is the RNA-Seq raw reads, which can be used to execute new experiments with different analysis approaches. The other two datasets allow different types of searches for candidate homologues. The second dataset includes the sets of assembled unigenes and predicted coding sequences and proteins, enabling a sequence-based search. The third dataset consists of the annotation results of the aligned unigenes versus the Nonredundant (Nr) protein database, Kyoto Encyclopaedia of Genes and Genomes (KEGG) and Clusters of Orthologous Groups (COG) databases with low e-values, enabling a name-based search.

journal_name

Sci Data

journal_title

Scientific data

authors

Niu SC,Xu Q,Zhang GQ,Zhang YQ,Tsai WC,Hsu JL,Liang CK,Luo YB,Liu ZJ

doi

10.1038/sdata.2016.83

subject

Has Abstract

pub_date

2016-09-27 00:00:00

pages

160083

issn

2052-4463

pii

sdata201683

journal_volume

3

pub_type

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