Abstract
Picea belongs to the Pinaceae family and is a famous commercial tree species because of its straight trunk and excellent timber traits. Recently, omics have been widely used for fundamental and mechanism studies on Picea plants. To improve the accessibility to omics and phenotypic data and facilitate further studies, we compiled the sequences of 2 chloroplast genomes (Picea crassifolia and Picea asperata) and 32 complete omics data sets, including 20 transcriptomes, 4 proteomes, 2 degradomes and 6 microRNAs from P. crassifolia, P. asperata, Picea balfouriana and Picea abies tissues under different treatments, in PICEAdatabase. In addition, phenotypic data on plant growth and wood property traits were collected from two field trials of P. crassifolia. PICEAdatabase also includes useful analysis tools, such as BLAST, DESeq2 and JBrowse, to assist with analyses.
Highlights
Picea is one of the most widespread conifers in temperate forests and an important commercial tree species [1]
There are 16 species and 9 Picea varieties distributed in China [3], some of which are native species, such as Picea crassifolia (Qinghai spruce), Picea asperata Mast and Picea balfouriana (Chuanxi spruce) [4,5,6,7]
We have identified differential expressed gene in P. abies supplemented with different light spectra using RNA sequencing (RNAseq), which may help us illuminate the mechanism that light supplementation in the seedling period can effectively promote the stem increments of Picea
Summary
Picea is one of the most widespread conifers in temperate forests and an important commercial tree species [1]. To resolve the mechanism by which partial desiccation treatment increases somatic embryo generation in P. asperata, our team analyzed the omics changes and metabolic pathways related to abiotic stresses during different desiccation periods using proteomic data [12]. In another experiment, we have identified differential expressed gene in P. abies supplemented with different light spectra using RNA sequencing (RNAseq), which may help us illuminate the mechanism that light supplementation in the seedling period can effectively promote the stem increments of Picea. Scientific studies using abundant omics and other kinds of data have been facilitated via online databases that provide platforms for data storage and synthetical analyses of a variety of available data, which may provide new directions and ideas for further study [13,14]
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