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PICEAdatabase: a web database for Picea omics and phenotypic information.

Nan Lu1, Tianqing Zhu1, Fangqun Ouyang1

  • 1State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, No.1 Dongxiaofu, Xiangshan Road, Beijing 100091, China.

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Summary

PICEAdatabase centralizes omics and phenotypic data for Picea species, aiding research into these commercially important Pinaceae trees. This resource enhances accessibility for fundamental and mechanism studies on spruce.

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Area of Science:

  • Botany
  • Genomics
  • Bioinformatics

Background:

  • Picea (spruce) is a commercially significant genus in the Pinaceae family, valued for its timber.
  • Omics technologies are increasingly applied to Picea for fundamental and mechanistic research.

Purpose of the Study:

  • To create a centralized, accessible database (PICEAdatabase) for omics and phenotypic data of Picea species.
  • To facilitate further research and analysis of Picea genetic and trait information.

Main Methods:

  • Compilation of 2 chloroplast genome sequences (Picea crassifolia, Picea asperata).
  • Integration of 32 omics datasets (transcriptomes, proteomes, degradomes, microRNAs) from four Picea species.
  • Inclusion of phenotypic data (plant growth, wood properties) from Picea crassifolia field trials.

Main Results:

  • PICEAdatabase now hosts comprehensive genomic, transcriptomic, proteomic, and miRNA data for multiple Picea species.
  • Phenotypic data from field trials of Picea crassifolia are incorporated.
  • Integrated analysis tools (BLAST, DESeq2, JBrowse) are provided within the database.

Conclusions:

  • PICEAdatabase significantly improves data accessibility for Picea research.
  • The database serves as a valuable resource for advancing studies on Picea genetics, physiology, and wood properties.